10
Autophagy and cell growth – the yin and yang of nutrient responses Thomas P. Neufeld Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN 55455, USA [email protected] Journal of Cell Science 125, 2359–2368 ß 2012. Published by The Company of Biologists Ltd doi: 10.1242/jcs.103333 Summary As a response to nutrient deprivation and other cell stresses, autophagy is often induced in the context of reduced or arrested cell growth. A plethora of signaling molecules and pathways have been shown to have opposing effects on cell growth and autophagy, and results of recent functional screens on a genomic scale support the idea that these processes might represent mutually exclusive cell fates. Understanding the ways in which autophagy and cell growth relate to one another is becoming increasingly important, as new roles for autophagy in tumorigenesis and other growth-related phenomena are uncovered. This Commentary highlights recent findings that link autophagy and cell growth, and explores the mechanisms underlying these connections and their implications for cell physiology and survival. Autophagy and cell growth can inhibit one another through a variety of direct and indirect mechanisms, and can be independently regulated by common signaling pathways. The central role of the mammalian target of rapamycin (mTOR) pathway in regulating both autophagy and cell growth exemplifies one such mechanism. In addition, mTOR-independent signaling and other more direct connections between autophagy and cell growth will also be discussed. This article is part of a Minifocus on Autophagy. For further reading, please see related articles: ‘Ubiquitin-like proteins and autophagy at a glance’ by Tomer Shpilka et al. (J. Cell Sci. 125, 2343-2348) and ‘Autophagy and cancer – issues we need to digest’ by Emma Liu and Kevin Ryan (J. Cell Sci. 125, 2349-2358). Key words: Autophagy, Cell growth, Mammalian target of rapamycin (mTOR), Protein synthesis, Lysosome, Cell cycle Introduction Cells have an intrinsic drive to increase their mass, which is illustrated by the ravenous growth of embryos and juveniles during development, and the logarithmic proliferation of cells in culture. Even in adult organisms, whose size has reached a steady state, continued growth and proliferation of differentiated and stem cells allows replacement of damaged and senescent cells, and many cells and organs are capable of considerable growth through hypertrophy. Cell growth can thus be considered a default state for many cell types, requiring only the presence of permissive factors such as nutrients and appropriate hormonal signals. The process of cell growth, however, has enormous energetic requirements and is rapidly abandoned when conditions become unfavorable. In response to nutrient limitation, DNA damage, excessive oxidation, viral infection and other cell stresses, the ATP-consuming processes that underlie cell growth are rapidly turned off, allowing the cell to conserve or marshal its resources to deal with the stressor. In addition to switching off energetically demanding growth processes, cells induce a variety of responses to stress that enable them to survive in suboptimal conditions. Central among these is macroautophagy (herein referred to as autophagy), whereby portions of cytoplasm are sequestered into vesicles known as autophagosomes and degraded by hydrolytic enzymes following fusion of autophagosomes with the lysosome. This process supports cell survival by eliminating damaged and potentially harmful cellular structures, and by releasing the breakdown products as nutrients that can be re-used by the cell or exported for use by other cells. On a fundamental level, autophagy and cell growth are mirror images of one another. If cell growth is defined as the process of mass accumulation through the net uptake and conversion of nutrients into macromolecules, autophagy can be considered to act in opposition to these biosynthetic processes through the catabolic breakdown of biomolecules. Thus, under conditions conducive to cell growth, the coupling of high rates of biosynthesis with low rates of autophagy allows cellular resources to be channeled towards growth with maximal efficiency. This synthetic flow is reversed in response to nutrient limitation or other stresses that halt cell growth and induce autophagy. This inverse correlation between autophagy and growth is widely observed under a variety of environmental conditions. For example, growth inhibition and autophagy induction are coordinated responses to nutrient starvation, growth factor withdrawal, cellular stresses such as oxidative damage, protein misfolding, viral infection, and substrate detachment or contact inhibition of cultured cells (Fig. 1) (reviewed by Neufeld, 2004). Although the coupling of autophagy and growth might appear intuitive and logical, the potential cause-and-effect relationships between these two processes and the underlying mechanisms that link them are just beginning to be unraveled. In this Commentary, I highlight key regulatory steps and signaling pathways involved in autophagy and growth control, and discuss the regulatory relationships by which these processes are coordinated in the cell. Understanding the physiological benefits of this coordination and the consequences of its disruption should provide insight into potential autophagy-based therapeutic approaches. Commentary 2359 Journal of Cell Science

Autophagy and cell growth – the yin and yang of nutrient ......Autophagy and cell growth – the yin and yang of nutrient responses Thomas P. Neufeld Department of Genetics, Cell

  • Upload
    others

  • View
    2

  • Download
    0

Embed Size (px)

Citation preview

  • Autophagy and cell growth – the yin and yang ofnutrient responses

    Thomas P. NeufeldDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN 55455, USA

    [email protected]

    Journal of Cell Science 125, 2359–2368� 2012. Published by The Company of Biologists Ltddoi: 10.1242/jcs.103333

    SummaryAs a response to nutrient deprivation and other cell stresses, autophagy is often induced in the context of reduced or arrested cell growth.

    A plethora of signaling molecules and pathways have been shown to have opposing effects on cell growth and autophagy, and results ofrecent functional screens on a genomic scale support the idea that these processes might represent mutually exclusive cell fates.Understanding the ways in which autophagy and cell growth relate to one another is becoming increasingly important, as new roles for

    autophagy in tumorigenesis and other growth-related phenomena are uncovered. This Commentary highlights recent findings that linkautophagy and cell growth, and explores the mechanisms underlying these connections and their implications for cell physiology andsurvival. Autophagy and cell growth can inhibit one another through a variety of direct and indirect mechanisms, and can beindependently regulated by common signaling pathways. The central role of the mammalian target of rapamycin (mTOR) pathway in

    regulating both autophagy and cell growth exemplifies one such mechanism. In addition, mTOR-independent signaling and other moredirect connections between autophagy and cell growth will also be discussed.

    This article is part of a Minifocus on Autophagy. For further reading, please see related articles: ‘Ubiquitin-like proteins and autophagy at a glance’ by Tomer Shpilka et al.(J. Cell Sci. 125, 2343-2348) and ‘Autophagy and cancer – issues we need to digest’ by Emma Liu and Kevin Ryan (J. Cell Sci. 125, 2349-2358).

    Key words: Autophagy, Cell growth, Mammalian target of rapamycin (mTOR), Protein synthesis, Lysosome, Cell cycle

    IntroductionCells have an intrinsic drive to increase their mass, which is

    illustrated by the ravenous growth of embryos and juveniles

    during development, and the logarithmic proliferation of cells in

    culture. Even in adult organisms, whose size has reached a steady

    state, continued growth and proliferation of differentiated and

    stem cells allows replacement of damaged and senescent cells,

    and many cells and organs are capable of considerable growth

    through hypertrophy. Cell growth can thus be considered a

    default state for many cell types, requiring only the presence of

    permissive factors such as nutrients and appropriate hormonal

    signals. The process of cell growth, however, has enormous

    energetic requirements and is rapidly abandoned when conditions

    become unfavorable. In response to nutrient limitation, DNA

    damage, excessive oxidation, viral infection and other cell

    stresses, the ATP-consuming processes that underlie cell

    growth are rapidly turned off, allowing the cell to conserve or

    marshal its resources to deal with the stressor.

    In addition to switching off energetically demanding growth

    processes, cells induce a variety of responses to stress that enable

    them to survive in suboptimal conditions. Central among these is

    macroautophagy (herein referred to as autophagy), whereby

    portions of cytoplasm are sequestered into vesicles known as

    autophagosomes and degraded by hydrolytic enzymes following

    fusion of autophagosomes with the lysosome. This process

    supports cell survival by eliminating damaged and potentially

    harmful cellular structures, and by releasing the breakdown

    products as nutrients that can be re-used by the cell or exported

    for use by other cells.

    On a fundamental level, autophagy and cell growth are mirror

    images of one another. If cell growth is defined as the process of

    mass accumulation through the net uptake and conversion of

    nutrients into macromolecules, autophagy can be considered to

    act in opposition to these biosynthetic processes through the

    catabolic breakdown of biomolecules. Thus, under conditions

    conducive to cell growth, the coupling of high rates of

    biosynthesis with low rates of autophagy allows cellular

    resources to be channeled towards growth with maximal

    efficiency. This synthetic flow is reversed in response to

    nutrient limitation or other stresses that halt cell growth and

    induce autophagy. This inverse correlation between autophagy

    and growth is widely observed under a variety of environmental

    conditions. For example, growth inhibition and autophagy

    induction are coordinated responses to nutrient starvation,

    growth factor withdrawal, cellular stresses such as oxidative

    damage, protein misfolding, viral infection, and substrate

    detachment or contact inhibition of cultured cells (Fig. 1)

    (reviewed by Neufeld, 2004).

    Although the coupling of autophagy and growth might appear

    intuitive and logical, the potential cause-and-effect relationships

    between these two processes and the underlying mechanisms that

    link them are just beginning to be unraveled. In this Commentary,

    I highlight key regulatory steps and signaling pathways involved

    in autophagy and growth control, and discuss the regulatory

    relationships by which these processes are coordinated in the cell.

    Understanding the physiological benefits of this coordination and

    the consequences of its disruption should provide insight into

    potential autophagy-based therapeutic approaches.

    Commentary 2359

    Journ

    alof

    Cell

    Scie

    nce

    mailto:[email protected]://dx.doi.org/10.1242/jcs.093757

  • Autophagy and the cell growth machineryFormation of autophagosomes and their fusion with lysosomes

    are the defining events of autophagy. Whereas autophagosome–

    lysosome fusion largely exploits general factors of the endocytic

    pathway, autophagosome formation is driven by the coordinated

    activity of distinct sets of components that are dedicated to this

    process. Many of these components were first identified through

    pioneering genetic screens in yeast, and have clear homologs in

    metazoan cells. These include: (1) two ubiquitin-like molecules,

    Atg12 and Atg8 [microtubule-associated protein 1 light chain 3

    alpha (LC3) and additional family members in mammals], and

    the E1-, E2- and E3-like processing machinery that regulates

    their conjugation to control autophagosome formation and size;

    (2) a multi-component protein complex containing the class III

    phosphatidylinositol 3-kinase Vps34 (PIK3C3 in mammals),

    which promotes autophagosome nucleation from cytosolic

    membranes; and (3) a complex containing the serine/threonine

    protein kinase Atg1 (ULK1 and ULK2 in mammals), which

    integrates signals from multiple upstream regulators to control

    the localization or activity of Vps34 and other autophagy

    components. One such regulator, the protein kinase target of

    rapamycin [Tor1 and Tor2 in yeast; mammalian TOR (mTOR) in

    mammals], has a central role in controlling Atg1 and ULK1

    activity in response to nutrients and growth conditions. Together,

    these three systems act in concert, along with a number of

    accessory proteins, to form autophagosomes at a rate that is

    appropriate for specific environmental conditions (reviewed by

    Mizushima et al., 2011).

    The biosynthetic pathways that promote the accumulation of

    mass to drive cell growth are also highly coordinated. The best

    understood of these processes is the control of protein synthesis,

    which is generally rate limiting for cell growth and sufficient to

    drive cell transformation (reviewed by Proud, 2007). The activity

    of translation initiation and elongation factors [e.g. eukaryotic

    translation initiation factors (eIF) 2, 3 and 4 and eukaryotic

    translation elongation factor 2 (eEF2)] are tightly regulated by

    protein kinases such as mTOR and Gcn2 (for general control non-

    repressed 2, also known as EIF2AK4) in response to nutrient and

    growth factor levels. The production of ribosomes is similarly

    sensitive to growth conditions, and this regulation encompasses all

    three RNA polymerases, as well as post-transcriptional controls, to

    ensure a balanced production of ribosomal proteins and RNAs.

    More recently, we have begun to define the signals that link

    cell growth to lipid synthesis and organelle biogenesis, and

    these appear to involve a complex interplay of transcriptional,

    translational and post-translational control (reviewed by Zoncu

    et al., 2011b). It is crucial that the synthesis rates of proteins, lipids

    and other biomolecules are regulated in parallel, and that these, in

    turn, are linked to the rates of nutrient uptake and, finally, to the

    overall growth and division rates of the cell and its organelles.

    Together, these regulatory steps represent nodes of control at

    which interactions between cell growth and autophagy can occur.

    A

    B

    C

    Fig. 1. Correlation between cell size and autophagy.

    (A) Bax2/2, Bak2/2 mouse bone marrow-derived cells that were

    cultured in the presence (left) or absence (right) of the growth

    factor interleukin 3 for six weeks. Of note are the reduced

    cytoplasmic volume and abundant autophagosomes (arrows).

    Image reprinted from Lum et al., 2005 with permission from

    Elsevier (Lum et al., 2005). (B) Camera lucida drawings of

    sectioned larval fat body cells from fed (left) or three-day starved

    (right) Drosophila larvae. Dark circular structures represent lipid

    droplets. Image reprinted from Butterworth et al., 1965 with

    permission from John Wiley and Sons (Butterworth et al., 1965).

    (C) Histogram indicating cell size (forward light scatter) of

    Atg52/2 mouse embryonic fibroblasts carrying a doxycycline-

    repressible Atg5 transgene. Cells were starved (ST+, right) in

    amino-acid-free DMEM or incubated in normal cell culture media

    (ST-, left), in the presence or absence of doxycycline (DOX).

    Repression of Atg5 leads to increased cell size under starvation

    conditions. Image reprinted from Hosokawa et al., 2006 with

    permission from Elsevier (Hosokawa et al., 2006).

    Journal of Cell Science 125 (10)2360

    Journ

    alof

    Cell

    Scie

    nce

  • Coordination of these processes can thus be achieved either

    through common signaling pathways that intersect at multiple

    independent control points, or through autophagy- or growth-

    dependent effects and signals (Fig. 2). Here, each of these models

    is considered in turn.

    Coordinated regulation of growth and autophagyby common signalsAn efficient means of achieving coordination between autophagy

    and cell growth rates is through the joint regulation of these

    processes by shared upstream signaling pathways. Although the

    molecules that act directly on autophagy and biosynthesis are

    distinct, a number of regulators have been shown to control both

    processes in parallel (Fig. 3).

    mTOR-dependent regulation of autophagy and growth

    As alluded to above, the kinase mTOR has a central role in

    controlling both cell growth and autophagy. mTOR controls the

    translation initiation step through direct phosphorylation of two

    key targets, EIF4E-binding protein 1 (EIF4EBP1) and S6 kinase

    (S6K, also known as RPS6KB1), which, in turn, regulate eIF3-

    and eIF4-dependent interactions between the mRNA 59 cap, thepoly(A)-tail and the 40S and 60S ribosomal subunits (Zoncu et al.,

    2011b). mTOR also has a major impact on protein synthesis and

    cell growth by promoting ribosome biogenesis. In yeast, this

    involves inhibitory phosphorylation of three transcription factors,

    Stb3, Dot6 and Tod6, which act as repressors of ribosome

    biogenesis (RiBi) and ribosomal protein (RP) gene expression

    (Huber et al., 2011). This phosphorylation is mediated by the

    protein kinase Sch9, a yeast homolog of S6K and AKT, and a

    direct TOR substrate. mTOR also contributes to ribosome

    biogenesis by promoting expression of ribosomal RNA. Recent

    studies indicate that there is a nucleolar role for mTOR

    complexes directly at the promoters of rRNA and tRNA genes,

    and have identified the RNA polymerase I and III factors TIF1A

    (also known as TRIM24), TFIIIC (also known as GTF3) and

    MAF1 as downstream targets (Kantidakis et al., 2010; Mayer

    et al., 2004; Vazquez-Martin et al., 2011).

    Independent of these effects on protein synthesis, mTOR

    regulates the autophagic machinery and suppresses

    autophagosome formation under conditions that are favorable

    for growth. Autophagy inhibition by mTOR largely occurs

    independently of the targets known to be involved in growth

    regulation, such as EIF4EBP1 or S6K. Instead, mTOR directlyinteracts with and phosphorylates components of the Atg1 protein

    kinase complex, including Atg1 (ULK1), Atg13 and FIP200 (alsoknown as RB1CC1) (reviewed by Mizushima, 2010). In yeast,Atg13 is phosphorylated on multiple serine and threonineresidues under growth conditions, and this disrupts its

    association with Atg1. Ohsumi and co-workers recently foundthat Atg13 is phosphorylated directly by TOR in vitro, andshowed that Atg13 lacking these phosphorylation sites stably

    associates with, and activates, Atg1 and is sufficient to promoteautophagy under growth conditions, independent of TOR activity(Kamada et al., 2010). This ability of non-phosphorylatable

    Atg13 to bypass TOR signaling highlights the Atg1 complex asthe crucial downstream target mediating the effects of TOR onautophagy.

    How TOR-dependent phosphorylation of Atg13 promotes

    Atg1 activation and induction of autophagy remains poorlyunderstood. Interestingly, Herman and colleagues havedemonstrated that Atg1 forms dimers or oligomers under

    conditions that favor autophagy, and that this self-association ispromoted by Atg13 (Yeh et al., 2011). Forced dimerizationof Atg1 increases its kinase activity and the level of

    autophosphorylation, which is a prerequisite for inducingautophagy (Kijanska et al., 2010; Yeh et al., 2010). However,this is not sufficient to induce autophagy, suggesting that Atg13

    has additional functions. Regulation of metazoan Atg1 (ULK1)appears to differ from that in yeast, as mTOR inhibits ULK1without affecting its interaction with Atg13. A functional rolefor Atg13 phosphorylation has not yet been demonstrated

    in mammals, and mTOR-mediated phosphorylation of othercomponents of the ULK1 complex might have important roles.Recently, Ser757 of ULK1 was identified as an mTOR-

    dependent phosphorylation site that influences the associationof ULK1 with the AMP-activated protein kinase (AMPK), whichis an important activator of autophagy in response to cellular

    energy levels (Kim et al., 2011a; Shang et al., 2011) (see below).

    The potential role of mTOR to regulate later steps ofautophagosome maturation, movement and lysosomal fusion isless well characterized. At least in some cell types, mTOR

    activation can promote autophagosome–lysosome fusion, in partby facilitating the interaction of Rab7 with its lysosomal effectorRab-interacting lysosomal protein (RILP) (Bains et al., 2009;

    Bains et al., 2011; Yamamoto et al., 2006). Furthermore,reactivation of mTOR during sustained nutrient starvation isrequired to allow re-formation and recycling of lysosomes

    following the massive delivery of autophagic membrane andcargo. This recovery of mTOR activity and lysosomal integrity isdependent on autophagic degradation and efflux, suggesting that

    nutrients derived from the autolysosome are able to promotemTOR activation (Rong et al., 2011; Shin and Huh, 2011; Yuet al., 2010). Nutrient efflux from autolysosomes also appearsto promote TOR signaling required for secretory activity in

    senescent cells (Narita et al., 2011).

    Recent investigations into the nutrient-dependent regulationand localization of mTOR are consistent with this model. In

    response to an increase in nutrient levels, mTOR is recruited tothe surface of lysosomes by members of the Rag family ofheterodimeric GTPases (Sancak et al., 2010). The lysosomal

    translocation of mTOR requires nutrient-dependent GTP loadingof the Rag complex, and this recruitment is sufficient to bypassthe nutrient input to mTOR activation. Interestingly, nucleotide

    A Signal

    Autophagy

    Integrator

    Cell growth

    Signal

    Autophagy

    Cell growth

    Signal

    Cell growth

    Autophagy

    B C

    Fig. 2. Potential signaling relationships between autophagy and cell

    growth. The inverse correlation between rates of cell growth and autophagy

    can be accomplished through several distinct mechanisms. Common upstream

    signaling pathways (A) can provide a coordinated effect on autophagy and

    cell growth. Such pathways bifurcate at integration points that independently

    control the autophagy and growth machinery downstream. Inhibitory effects

    of autophagy on cell growth (B) and of cell growth on autophagy (C) can

    provide a direct mechanism for linking these processes. Please refer to the text

    for additional details.

    Cell growth and autophagy 2361

    Journ

    alof

    Cell

    Scie

    nce

  • loading of Rag GTPases is sensitive to the amino acid

    concentrations within the lysosome, and subunits of the

    vacuolar ATPase protein pump are required for this signaling

    (Zoncu et al., 2011a). The microtubule-dependent positioning of

    lysosomes within the cell has also been shown to influence

    mTOR activity, and this appears to be mediated by nutrient-

    dependent changes in intracellular pH (Korolchuk et al., 2011).

    Importantly, lysosome-mediated regulation of mTOR influences

    multiple, if not all, aspects of mTOR function, including its effects

    on targets involved in cell growth and autophagy. This implies that

    mTOR might retain its activation state for some time after its

    departure from the lysosomal surface and diffusion or transport to

    other cellular compartments. Indeed, activation of mTOR might be

    required for its release from the lysosome (Ohsaki et al., 2010).

    Compartmentalization of mTOR from its targets, such as ULK1,

    has been suggested to promote autophagy during senescence, but

    the extent to which similar mechanisms contribute more generally

    to mTOR signaling is unclear (Narita et al., 2011). Live imaging

    and fluorescence recovery after photobleaching (FRAP)-based

    analysis of mTOR complexes might help to clarify this issue. This

    centralized control of mTOR activation status probably makes a

    substantial contribution to coordinating its diverse functions in

    autophagy and cell growth.

    mTOR-independent control of autophagy and growth

    Despite the multiple inputs to mTOR signaling and its pervasive

    effects on autophagy and cell growth, a surprisingly large number

    of signaling pathways and regulators have been shown to affect

    these processes independently of changes in mTOR activity.

    Small-molecule screens have identified several compounds that

    induce autophagy without affecting mTOR. These chemicals

    inhibit a variety of intracellular targets and processes, including

    ion channels, Ca2+ homeostasis and G-protein signaling

    (Williams et al., 2008; Zhang et al., 2007). A strong correlation

    has been observed between the ability of these compounds to

    promote long-lived protein degradation and to increase cellular

    levels of phosphatidylinositol 3-phosphate [PtdIns(3)P], the

    product of Vps34, thus implicating this kinase as an ultimate

    autophagic effector. Despite some reports linking Vps34 to

    mTOR activation (Byfield et al., 2005; Nobukuni et al., 2005), no

    effect on the phosphorylation of mTOR substrates has been found

    for these compounds (Williams et al., 2008; Zhang et al., 2007).

    Similarly, a genomic siRNA screen for autophagy regulatory

    genes has found little correlation between autophagy induction

    and mTOR activity, whereas nearly half of the 236 identified hits

    had a substantial effect on PtdIns(3)P levels (Lipinski et al.,

    2010). Gene ontology analysis of these hits has revealed a

    Gcn2

    Amino acids

    Lysosome

    Gcn4

    Vps34

    CDKs

    Atg1

    TOR

    Glucose Gl

    AMPK

    Energy

    CKIs

    E2F pRb

    Autophagy gene expression

    Δψ, Π, pH

    tRNAs

    Actively translatingribosome

    Endoplasmic reticulum

    Fig. 3. Effects of cell growth on autophagy. Growth-dependent import of nutrients, such as amino acids and glucose, generates multiple signals that influence

    the induction of autophagy through their effects on pH, osmotic pressure (P) and the electrochemical gradient (DY), as well as through several key signaling

    molecules such as Gcn2 (EIF2AK4 in mammals), TOR (or mTOR) and AMPK. The eIF2a kinase Gcn2 senses reduced amino acid levels through the

    accumulation of uncharged tRNAs, and activates autophagy-related gene expression through the transcription factor Gcn4 (ATG4 in mammals). Amino acids

    activate the mTOR pathway, in part, by recruiting mTOR complexes to the lysosomal surface through factors such as the Rag GTPases and p62, and through

    effects on intracellular lysosomal positioning. The AMP-activated protein kinase (AMPK) responds to glucose uptake, and regulates multiple downstream targets

    that have effects on autophagy, including mTOR, Atg1 (ULK1 in mammals) and CDKs (through cyclin kinase inhibitors; CKIs). The induction of autophagy can

    also be suppressed by the presence of actively translating ribosomes on the surface of the endoplasmic reticulum, which might limit the availability of sites for

    autophagosome nucleation. Additional components of TOR, Atg1 and Vps34 complexes are indicated. Please refer to the text for details.

    Journal of Cell Science 125 (10)2362

    Journ

    alof

    Cell

    Scie

    nce

  • substantial enrichment in signaling molecules and transcriptionfactors, including multiple genes involved in growth factor and

    cytokine signaling that have well-characterized effects on cellgrowth. Taken together, these results indicate that the ability ofsignaling pathways to regulate autophagy and cell growth inparallel is not confined to the mTOR pathway and might be

    widespread.

    The oncogenic Ras–RAF–MAPK cascade stimulates cellgrowth through multiple transcription factors including MYC,

    JUN (also known as transcription factor AP-1) and ETS1, whichtarget genes that regulate cell cycle progression, ribosomebiogenesis and cytokine signaling (McCubrey et al., 2007).

    Ballabio and colleagues recently identified the mammaliantranscription factor EB (TFEB) as a master regulator of a largenumber of autophagy and lysosomal genes that facilitatethe coordination of autophagosome formation, fusion and

    degradation (Settembre et al., 2011). Furthermore, this groupshowed that TFEB can be negatively regulated through directphosphorylation by extracellular-signal-regulated kinase 2

    (ERK2), which is independent of mTOR activity. Similarly inyeast, Ras and its downstream target cAMP-dependent proteinkinase (PKA) inhibit the starvation-induced expression of

    autophagy genes, such as ATG8, independently of TOR, andPKA promotes expression of growth gene networks such as theRiBi regulon through inactivation of the repressor Tod6 (Graef

    and Nunnari, 2011; Lippman and Broach, 2009). Thus bothmammalian and yeast Ras signaling pathways use a coordinatedtranscriptional mechanism to link growth stimulation andautophagy inhibition in response to nutrients.

    This transcriptional response is probably shared by many otherfactors that regulate growth in response to multiple stimuli.Botstein and colleagues found that 25% of all yeast genes

    display a similar transcriptional response to changes in nutrientconditions regardless of carbon source, a pattern they termed a‘universal’ growth rate response (GRR) (Slavov and Botstein,

    2011). Growth-related genes involved in ribosome biogenesis andtranslation display a positive universal GRR (i.e. increasedtranscription in rich medium), whereas autophagy- and vacuolar-associated genes have a negative GRR. Although such

    widespread responses certainly reflect the activity of multipletranscriptional regulators, individual transcription factors canalso generate coordinated effects on growth and autophagy. For

    example, the yeast transcriptional regulator Gcn4 responds toamino acid starvation by promoting expression of autophagygenes and repressing genes encoding ribosome proteins and

    translation factors (Natarajan et al., 2001). The synthesis of Gcn4protein itself increases under conditions of general translationinhibition, providing an additional layer of connection between

    autophagy and cell growth (Hinnebusch, 1997).

    In metazoans, the FOXO family of transcription factorssuppresses cell growth through the expression of inhibitors oftranslation and proliferation (Jünger et al., 2003; Stahl et al.,

    2002). Concurrently to this, they stimulate autophagy byactivating the expression of a large number of autophagy-associated genes (Mammucari et al., 2007; Zhao et al., 2007).

    Interestingly, FOXO1 also has a transcription-independentcapacity to promote autophagy. This process involvesdeacetylation of cytoplasmic FOXO1 in response to starvation

    or oxidative stress, which promotes its association with ATG7and leads to autophagy through an, as yet, unclear mechanism(Zhao et al., 2010). Dual nuclear and cytoplasmic effects have

    also been described for p53, which induces autophagy in

    response to DNA damage through the activation of target genes

    such as those encoding the lysosomal protein DNA-damage

    regulated autophagy modulator 1 (DRAM1) and ULK1, as well

    as factors, such as sestrin 2, phosphatase and tensin homolog

    (PTEN) and tuberous sclerosis 2 (TSC2), that inhibit mTOR

    signaling (Crighton et al., 2006; Feng et al., 2005; Gao et al.,

    2011; Maiuri et al., 2009). These inductive effects on autophagy

    through p53-mediated transcription are opposed by a cytoplasmic

    function of p53, which increases mTOR activity and suppresses

    autophagy under basal conditions (Tasdemir et al., 2008).

    Other factors also regulate cell growth and autophagy

    through a combination of mTOR-dependent and -independent

    mechanisms. For example, in addition to its transcriptional

    effects noted above, PKA also inhibits autophagy in yeast by

    directly phosphorylating Atg1 and Atg13, which prevents their

    localization to the sites of autophagosome assembly (Stephan

    et al., 2009). At the same time, PKA activation increases the

    sensitivity of cells to rapamycin and exacerbates the growth

    defects of tor mutants, which indicates that PKA has antagonistic

    effects on TOR (Ramachandran and Herman, 2011). Taken

    together, these results suggest that PKA sends both positive and

    negative signals to the autophagy network, and that the inhibitory

    effect is dominant under most conditions. Similarly, the energy-

    sensing AMPK regulates autophagy both upstream and

    downstream of mTOR. By inhibiting mTOR activity under

    conditions of low energy, AMPK indirectly promotes activation

    of the ULK1 complex. In addition, AMPK can directly

    phosphorylate ULK1, in this case leading to further activation

    and induction of autophagy (Egan et al., 2011; Kim et al., 2011b;

    Shang et al., 2011).

    Regulation of autophagy by cell growthAs discussed above, the inverse relationship between cell growth

    and autophagy can result in part from their co-regulation.

    However, this close correlation is also consistent with a cause-

    and-effect connection between these processes, and suggests

    that autophagy and cell growth might inhibit each other

    independently of shared upstream signaling components.

    We can examine this issue from the viewpoint of protein

    synthesis and cell cycle progression, two processes that are

    central to cell growth and proliferation. The first obligate step in

    increasing cellular protein mass is the import of amino acids. The

    regulation of this process in metazoan cells is poorly defined, but

    it is clear that growth factor signaling promotes the expression of

    a variety of nutrient transporters on the cell surface, in part by

    blocking their endocytic degradation (Edinger, 2007; Edinger and

    Thompson, 2002; Hennig et al., 2006). Amino acid uptake in

    growing cells might directly lead to mTOR activation and hence

    suppression of autophagy. However, rapid incorporation of

    amino acids into growing peptide chains might limit their free

    intracellular concentration and thus mTOR activation. Transport

    of amino acids into the cell can also have secondary

    consequences, such as changes in osmolarity and cell

    membrane polarization, which have been shown to influence

    autophagic signaling (Häussinger et al., 1990). In addition, there

    is evidence that some amino acid transporters might act as

    ‘transceptors’ with dual transport and signaling functions, and

    mTOR and PKA have been implicated as targets of such

    molecules (Taylor, 2009).

    Cell growth and autophagy 2363

    Journ

    alof

    Cell

    Scie

    nce

  • Subsequent steps in protein synthesis can also have substantialregulatory effects on autophagy. Following their transport into

    the cell, amino acids are ligated to their cognate tRNAs byaminoacyl-tRNA synthetases. Disruption of this process causesaccumulation of uncharged tRNAs, which directly activates theeIF2a kinase Gcn2 (also known as EIF2AK4 in mammals),leading to translation arrest, upregulation of GCN4 and increasedexpression of autophagy genes (Hinnebusch, 1994). In addition,export of tRNA from the nucleus is inhibited by starvation, and

    depletion of the tRNA nuclear exporter XPOT can activateautophagy in the presence of abundant nutrients (Huynh et al.,2010). In this case, autophagy correlates with reduced mTOR

    activity, which indicates that tRNAs can influence multiplesignaling pathways.

    In rapidly growing cells, the elongation of polypeptide chainsmight also inhibit autophagosome formation. Recent studies have

    implied that PtdIns(3)P-rich domains of the rough endoplasmicreticulum (ER) are central staging areas of autophagosomeinitiation (Axe et al., 2008). The tight juxtaposition of the

    growing autophagic membrane with the ER surface (Hayashi-Nishino et al., 2009; Ylä-Anttila et al., 2009) suggests thatengagement of active ribosomes with the ER translocon might be

    incompatible with this initiation process. In rapidly growingcells, high occupancy of the surface of the ER with translatingribosomes might therefore limit its availability as a platform for

    autophagosome formation (Blommaart et al., 1995).

    The cell division cycle of proliferating cells provides anotherstage for the interaction between autophagy and growth control.It has been known for some time that cells in mitosis are resistant

    to a variety of autophagic stimuli, including starvation andmTOR inhibition (Eskelinen et al., 2002), and this mightprovide a crucial barrier to autophagic degradation of spindle

    components, genetic material and other exposed cellularstructures. A study using multiple cell cycle markers and avariety of autophagy inducers found that each stimulus had

    maximal effects in the G1 and S phases of the cell cycle, withlittle activity in the G2 and M phases (Tasdemir et al., 2007).This autophagy timecourse corresponds inversely with activity ofthe mitotic protein cyclin-dependent kinase 1 (CDK1). Yuan and

    colleagues recently identified Vps34 as a substrate of CDK1–cyclin-B during mitosis in human cells (Furuya et al., 2010). Thatstudy found that CDK1-mediated phosphorylation of Vps34 on

    Thr159 disrupts its association with beclin 1, an essential corecomponent of Vps34 complexes, thereby reducing the lipid kinaseactivity of Vps34. Thr159 phosphorylation of Vps34 increases

    during mitosis, correlating with a reduction in autophagy. Thesefindings suggest that suppression of autophagy during mitosis canresult from CDK1-dependent inhibition of Vps34 activity. By

    contrast, yeast Cdk1 appears to have a positive function inautophagy because loss of Cdk1 activity leads to G1 arrest andautophagy inhibition (Yang et al., 2010). The region of Vps34that surrounds Thr159 is not well conserved in yeast, which

    indicates that other Cdk1 substrates probably mediate its effectson autophagy.

    Regulation of autophagy by CDKs might be a general

    phenomenon. The CDKN1B (also known as p27 and KIP1) andCDKN2A (also known as p16 and INK4) families of G1 CDKinhibitors are important regulators of cell cycle and growth in

    response to stress, hormonal and developmental signals. Recentstudies have revealed that these factors have a similarly crucialrole in regulating autophagy by integrating signals from multiple

    upstream pathways. Liang and co-workers have shown that

    autophagy is inhibited in mouse embryonic fibroblasts that lackp27, and that overexpression of p27 or depletion of CDK2 orCDK4 induces autophagy in breast adenocarcinoma cells (Liang

    et al., 2007). Both p27 and p16 are linked to autophagy throughthe tumor suppressor retinoblastoma 1 (RB1, also known as pRb),which is a central downstream target of CDK4 in cell cycleregulation. RB1 is required for the induction of autophagy by p27

    and p16, and can trigger autophagy when overexpressed (Jianget al., 2010). RB1 controls cell cycle progression, cell growth andsurvival by binding to the transcription factor E2F and inhibiting

    expression of E2F target genes. Similarly, induction of autophagyby RB1 requires binding of RB1 to E2F, and this process can beantagonized by overexpression of E2F. The effects of RB1 and

    E2F are complex, however, and might be influenced by cell typeand stress conditions. For example, E2F is required for autophagyinduction by DNA-damaging agents in U2OS cells, and

    overexpression or activation of E2F can promote autophagyand increase expression of Atg1 (ULK1), ATG5, LC3 andDRAM1 in these cells (Polager et al., 2008). In addition, RB1–E2F complexes have a negative effect on autophagy in response

    to hypoxia, in this case by inhibiting expression of BNIP3 (forBCL2/adenovirus E1B 19kDa interacting protein 3), an activatorof VPS34–beclin-1 complexes and inhibitor of mTOR (Tracy

    et al., 2007).

    Even a single CDK can have both positive and negative effectson autophagy. Klionsky and co-workers have found that the yeastCDK Pho85 has both positive and negative effects on autophagy

    induction, depending on the cyclin partner it is associated with(Yang et al., 2010). The relative expression levels of these cyclinsvary with cell cycle phase and in response to environmental

    signals, and each phase probably directs Pho85 to differentcellular compartments or downstream targets, thereby allowingPho85 to provide an integrated autophagic response to multiple

    growth and cell cycle cues.

    In addition to these molecular links, processes that are intrinsicto cell growth and proliferation might themselves be incompatiblewith autophagy. For example, periodic reorganization of

    microtubules into a mitotic spindle in dividing cells would beexpected to disrupt transport of autophagic vesicles or ofcomponents required for their formation. Similarly, dedicating

    vesicular trafficking pathways towards active synthesis andsecretion might preclude their use in autophagy. Growth andautophagy might also compete for raw materials, such as

    membrane lipids, or for regulators that function in bothprocesses. For example, Vps34 can assemble into at least threecomplexes with distinct subunits and functions, but only one them(which is defined by the presence of Atg14) is dedicated to

    autophagosome formation (Simonsen and Tooze, 2009). Suchcompetition-based mechanisms could prevent autophagy fromcausing damage during vulnerable cell cycle phases.

    Regulation of cell growth by autophagyBone marrow cells derived from mice that are deficient for theproapoptotic BCL2 family proteins BAX and BAK are able to

    survive in culture for several weeks in the absence of growthfactors. This survival is autophagy-dependent and coincides witha dramatic reduction in cell mass (Lum et al., 2005). In vivo,

    starvation of Drosophila can result in a 90% decrease in the sizeof larval fat body cells, which is accompanied by a massiveinduction of autophagy (Butterworth et al., 1965). Genetic

    Journal of Cell Science 125 (10)2364

    Journ

    alof

    Cell

    Scie

    nce

  • disruption of autophagy in this system suppresses the observed

    reduction in growth, and overexpression of Atg1, which induces

    autophagy, is sufficient to reduce cell size in the fat body (Scott

    et al., 2007; Scott et al., 2004). In starved mice, the intracellular

    protein degradation rate of hepatocytes approaches 40% per day in

    vivo, and starvation-induced size reduction of mouse embryonic

    fibroblasts can be substantially inhibited by disrupting Atg5

    (Conde and Scornik, 1976; Hosokawa et al., 2006). Together,

    these examples illustrate the intrinsic ability of autophagy to

    directly reduce cellular mass through the degradation of bulk

    cytoplasm (Fig. 4A).

    In addition to these presumably non-selective effects in

    growth-arrested cells, autophagy might further reduce the

    growth rate of actively growing cells through targeted

    elimination of growth-promoting molecules, complexes and

    organelles. The protein p62 (also known as sequestosome 1) is

    an intriguing candidate for such a factor. p62 is a multifunctional

    adapter protein that binds LC3 and other Atg8 family members

    through its LC3-interacting region (LIR), and thereby becomes

    incorporated into autophagosomes (Bjørkøy et al., 2005). This

    results in efficient autophagy-dependent degradation of p62, and,

    indeed, p62 protein levels are widely used as indicators of

    autophagic flux (Klionsky et al., 2008). Recently, an important

    role for p62 in mTOR activation has been described. In cells

    where p62 has been depleted or knocked out, mTOR fails to be

    activated in response to amino acids, which leads to a decrease in

    cell growth. Remarkably, p62 has been shown to stimulate

    mTOR signaling by supporting the interaction between Rag

    GTPases, the mTOR partner Raptor and the lysosomal surface,

    which promotes amino-acid-dependent recruitment of mTOR to

    the lysosome and its subsequent activation (Duran et al., 2011).

    These results imply that autophagy can impair mTOR-dependent

    cell growth through selective degradation of p62. In addition, p62

    contains a C-terminal ubiquitin-associated (UBA) domain and

    can promote selective autophagy of ubiquitylated soluble or

    aggregated proteins (Bjørkøy et al., 2005; Kim et al., 2008),

    which potentially include other factors involved in cell growth

    regulation. In a proteomic study tracing the progressive

    autophagic degradation of proteins in breast cancer cells, it has

    been found that proteins involved in translation, including

    mTOR, ribosomal protein S6 and tRNA synthetases, are among

    the most rapidly depleted factors (Kristensen et al., 2008).

    Whether these and other growth-promoting factors are selectively

    targeted for autophagy in a p62-dependent manner remains to be

    shown.

    Autophagy can also be employed by cells to selectively

    degrade larger complexes and organelles that are required for cell

    growth, such as ribosomes and mitochondria. In yeast, starvation

    results in rapid sequestration and digestion of ribosomes in the

    vacuole. This process is essential for survival under starvation

    conditions, is highly selective and involves the ubiquitin protease

    Ubp3, its activator Bre5, and ubiquitylation of specific ribosomal

    proteins (Kraft et al., 2008). Interestingly, the mammalian

    orthologs of Ubp3 and Bre5 interact with ULK1, which is

    required for the clearance of ribosomes from the cytoplasm

    of reticulocytes (Behrends et al., 2010; Kundu et al., 2008).

    Ribosomal degradation represents a potent mechanism to

    directly reduce cellular growth capacity. In addition, large

    macromolecular complexes such as P granules in C. elegans

    and midbody rings of dividing cell populations can indirectly

    promote growth by acting as stem cell factors, and these

    complexes have also been shown to be selective autophagy

    substrates (Kuo et al., 2011; Pohl and Jentsch, 2009; Zhang et al.,

    2009).

    Mitochondria can be selectively degraded by autophagy in a

    process referred to as mitophagy recently (reviewed in Youle and

    Narendra, 2011). Both starvation and mitochondrial damage

    can trigger mitophagy, and this requires LIR-motif-containing

    proteins [Atg32 in yeast, Nix (also known as BNIP3L) and

    possibly p62 in mammalian cells], which are thought to guide

    expansion of autophagosomal membranes over the mitochondrial

    surface through interaction with Atg8 family members. In yeast,

    this interaction is regulated by phosphorylation of Atg32 (Aoki

    et al., 2011). It was recently demonstrated that mitochondria can

    be protected from starvation-induced mitophagy by a PKA-

    dependent process of fusion and elongation, which somehow

    spares mitochondria from engulfment into autophagosomes

    (Gomes et al., 2011; Rambold et al., 2011). Similarly, in yeast

    that are grown under conditions in which mitochondria are

    required for metabolism, mitophagy is not induced, not

    even by severe starvation (Kanki and Klionsky, 2008). In

    starved mammalian cells, degradation of mitochondria occurs

    subsequent to degradation of cytosolic proteins and ribosomes

    (Kristensen et al., 2008). Thus, mitochondria appear to be the last

    -Ub-

    -Ub-

    WIPI1 ULK1 mTOR

    A

    B

    P-

    Bulkautophagy

    Mitophagy

    Ribophagy

    p62-mediatedselective autophagy

    KeyMitochondrion

    Fig. 4. Negative effects of autophagy on cell growth. (A) Multiple forms of

    autophagy can contribute to growth suppression. From left to right: bulk

    autophagy of cytoplasmic contents including cytosol and organelles;

    mitophagy, which utilizes adapter molecules such as Atg32, Nix and p62;

    ribophagy, which requires the ubiquitin protease Ubp3 and its activator Bre5;

    and p62-dependent degradation of ubiquitylated (Ub) signaling molecules and

    of p62 itself, which can promote mTOR signaling. (B) Activation of

    autophagy factors such as ULK1 and WIPI1 might lead to downregulation of

    mTOR through multiple mechanisms, possibly including ULK1-mediated

    phosphorylation (P) of Raptor (indicated by the blue oval) and WIPI1-

    dependent effects on maturation of endocytic vesicles.

    Cell growth and autophagy 2365

    Journ

    alof

    Cell

    Scie

    nce

  • resort for nutrients, which probably reflects their essential role in

    both growing and stationary cells.

    Several components of the autophagic machinery have

    been shown to have important autophagy-independent roles in

    regulating apoptotic cell death, and it is interesting to speculate

    that similar dual functions might be at work in controlling cell

    growth. One possible example of this is a feedback signaling loop

    from ULK1 to mTOR, which involves mTOR inhibition by its

    downstream kinase (Fig. 4B). In Drosophila and mammalian

    cells, Tor (or mTOR)-dependent phosphorylation of its substrates

    S6K and EIF4EBP1 is increased in Atg1 (or ULK1)-depleted

    cells, and decreased in response to the overexpression of Atg1

    (Lee et al., 2007; Scott et al., 2007). These effects correlate with

    changes in the cytoplasmic localization and trafficking of TOR,

    and with ULK1-dependent phosphorylation of the TORC1

    component Raptor (Chang and Neufeld, 2009; Dunlop et al.,

    2011). Feedback signaling from Atg1 to mTOR might help to

    amplify weak or variable signals into a stable biphasic switch,

    and might allow pathways that regulate ATG1 and autophagy

    independently of mTOR to influence growth in an mTOR-

    dependent manner. Other autophagy regulators can also affect

    mTOR signaling independently of their effects on autophagy. A

    recent study identified the Atg18 ortholog WD repeat domain,

    phosphoinositide interacting 1 (WIPI1) as an inhibitor of mTOR

    in human melanocytes (Ho et al., 2011). WIPI1 has an

    autophagy-independent role in the biogenesis of melanosomes,

    which are lysosome-related organelles that develop through an

    endosome-like maturation process. WIPI1 has been shown to

    function in part by suppressing mTOR activity, which negatively

    regulates transcription of melanogenic proteins in these cells.

    As mTOR activation is sensitive to disruption of endocytic

    maturation (Flinn et al., 2010; Li et al., 2010), it will be

    interesting to see whether WIPI1 also regulates TOR in other

    contexts through its effects on endocytic trafficking.

    ConclusionsThe separation of cell growth and autophagy into non-

    overlapping states appears to provide several advantages,

    including maximal resource efficiency and protection against

    cellular damage. However, although autophagy and cell growth

    tend to display an inverse response to many stimuli, it should

    be noted that this correlation is not absolute. High levels of

    autophagy can be observed in some rapidly growing cells, and in

    some cases this might actually contribute to cell growth

    and biosynthesis. Deeper investigation into these apparent

    ‘exceptions to the rule’ might prove particularly fruitful. For

    example, exercise induces both autophagy and cell growth of

    muscle fibers (Ogura et al., 2011), and this might involve a

    temporal separation into distinct phases of fiber breakdown and

    rebuilding. Similarly, senescent cells display high levels of

    autophagy despite showing highly active mTOR signaling and

    protein synthesis. In this case, these processes are separated

    spatially within the cell, with autophagy components being

    insulated within an ‘mTOR–autophagy spatial coupling

    compartment’ that protects them from mTOR-mediated

    downregulation (Narita et al., 2011). In other cases, such as in

    Ras-transformed cells, autophagy might provide intermediate

    metabolites that are specifically required to fuel the altered

    metabolic pathways of these cells and to facilitate their rapid

    growth (Guo et al., 2010; Kim et al., 2011b; Lock et al., 2011).

    As new roles of autophagy continue to be revealed, the viewthat emerges is that this ancient process is deeply entwined with

    the basic cellular functions of growth, proliferation and survival.Disentangling these connections will be important to ourunderstanding of the molecular regulation of each of theseprocesses. Furthermore, as autophagy-based therapies against a

    number of diseases are pursued, it will be important to considerhow potential treatments might impact other processes such ascell growth that are linked to autophagy. This will be aided by a

    better understanding of growth-dependent and -independentmechanisms that regulate autophagy.

    FundingThe work of our laboratory is supported by the National Institutes ofHealth [grant number GM62509]. Deposited in PMC for releaseafter 12 months.

    ReferencesAoki, Y., Kanki, T., Hirota, Y., Kurihara, Y., Saigusa, T., Uchiumi, T. and Kang, D.

    (2011). Phosphorylation of Serine 114 on Atg32 mediates mitophagy. Mol. Biol. Cell22, 3206-3217.

    Axe, E. L., Walker, S. A., Manifava, M., Chandra, P., Roderick, H. L., Habermann, A.,Griffiths, G. and Ktistakis, N. T. (2008). Autophagosome formation from membranecompartments enriched in phosphatidylinositol 3-phosphate and dynamically connectedto the endoplasmic reticulum. J. Cell Biol. 182, 685-701.

    Bains, M., Florez-McClure, M. L. and Heidenreich, K. A. (2009). Insulin-like growthfactor-I prevents the accumulation of autophagic vesicles and cell death in Purkinjeneurons by increasing the rate of autophagosome-to-lysosome fusion and degradation.J. Biol. Chem. 284, 20398-20407.

    Bains, M., Zaegel, V., Mize-Berge, J. and Heidenreich, K. A. (2011). IGF-I stimulatesRab7-RILP interaction during neuronal autophagy. Neurosci. Lett. 488, 112-117.

    Behrends, C., Sowa, M. E., Gygi, S. P. and Harper, J. W. (2010). Networkorganization of the human autophagy system. Nature 466, 68-76.

    Bjørkøy, G., Lamark, T., Brech, A., Outzen, H., Perander, M., Overvatn, A.,Stenmark, H. and Johansen, T. (2005). p62/SQSTM1 forms protein aggregatesdegraded by autophagy and has a protective effect on huntingtin-induced cell death. J.Cell Biol. 171, 603-614.

    Blommaart, E. F. C., Luiken, J. J. F. P., Blommaart, P. J. E., van Woerkom, G. M.

    and Meijer, A. J. (1995). Phosphorylation of ribosomal protein S6 is inhibitory forautophagy in isolated rat hepatocytes. J. Biol. Chem. 270, 2320-2326.

    Butterworth, F. M., Bodenstein, D. and King, R. C. (1965). Adipose tissue ofDrosophila melanogaster. I. An experimental study of larval fat body. J. Exp. Zool.158, 141-153.

    Byfield, M. P., Murray, J. T. and Backer, J. M. (2005). hVps34 is a nutrient-regulatedlipid kinase required for activation of p70 S6 kinase. J. Biol. Chem. 280, 33076-33082.

    Chang, Y. Y. and Neufeld, T. P. (2009). An Atg1/Atg13 complex with multiple roles inTOR-mediated autophagy regulation. Mol. Biol. Cell 20, 2004-2014.

    Conde, R. D. and Scornik, O. A. (1976). Role of protein degradation in the growth oflivers after a nutritional shift. Biochem. J. 158, 385-390.

    Crighton, D., Wilkinson, S., O’Prey, J., Syed, N., Smith, P., Harrison, P. R., Gasco, M.,Garrone, O., Crook, T. and Ryan, K. M. (2006). DRAM, a p53-induced modulator ofautophagy, is critical for apoptosis. Cell 126, 121-134.

    Dunlop, E. A., Hunt, D. K., Acosta-Jaquez, H. A., Fingar, D. C. and Tee, A. R. (2011).ULK1 inhibits mTORC1 signaling, promotes multisite Raptor phosphorylation andhinders substrate binding. Autophagy 7, 737-747.

    Duran, A., Amanchy, R., Linares, J. F., Joshi, J., Abu-Baker, S., Porollo, A.,

    Hansen, M., Moscat, J. and Diaz-Meco, M. T. (2011). p62 is a key regulator ofnutrient sensing in the mTORC1 pathway. Mol. Cell 44, 134-146.

    Edinger, A. L. (2007). Controlling cell growth and survival through regulated nutrienttransporter expression. Biochem. J. 406, 1-12.

    Edinger, A. L. and Thompson, C. B. (2002). Akt maintains cell size and survival byincreasing mTOR-dependent nutrient uptake. Mol. Biol. Cell 13, 2276-2288.

    Egan, D. F., Shackelford, D. B., Mihaylova, M. M., Gelino, S., Kohnz, R. A.,

    Mair, W., Vasquez, D. S., Joshi, A., Gwinn, D. M., Taylor, R. et al. (2011).Phosphorylation of ULK1 (hATG1) by AMP-activated protein kinase connectsenergy sensing to mitophagy. Science 331, 456-461.

    Eskelinen, E. L., Prescott, A. R., Cooper, J., Brachmann, S. M., Wang, L., Tang, X.,Backer, J. M. and Lucocq, J. M. (2002). Inhibition of autophagy in mitotic animalcells. Traffic 3, 878-893.

    Feng, Z., Zhang, H., Levine, A. J. and Jin, S. (2005). The coordinate regulation of thep53 and mTOR pathways in cells. Proc. Natl. Acad. Sci. USA 102, 8204-8209.

    Flinn, R. J., Yan, Y., Goswami, S., Parker, P. J. and Backer, J. M. (2010). The lateendosome is essential for mTORC1 signaling. Mol. Biol. Cell 21, 833-841.

    Furuya, T., Kim, M., Lipinski, M., Li, J., Kim, D., Lu, T., Shen, Y., Rameh, L.,Yankner, B., Tsai, L. H. et al. (2010). Negative regulation of Vps34 by Cdkmediated phosphorylation. Mol. Cell 38, 500-511.

    Journal of Cell Science 125 (10)2366

    Journ

    alof

    Cell

    Scie

    nce

    http://dx.doi.org/10.1091%2Fmbc.E11-02-0145http://dx.doi.org/10.1091%2Fmbc.E11-02-0145http://dx.doi.org/10.1091%2Fmbc.E11-02-0145http://dx.doi.org/10.1083%2Fjcb.200803137http://dx.doi.org/10.1083%2Fjcb.200803137http://dx.doi.org/10.1083%2Fjcb.200803137http://dx.doi.org/10.1083%2Fjcb.200803137http://dx.doi.org/10.1074%2Fjbc.M109.011791http://dx.doi.org/10.1074%2Fjbc.M109.011791http://dx.doi.org/10.1074%2Fjbc.M109.011791http://dx.doi.org/10.1074%2Fjbc.M109.011791http://dx.doi.org/10.1016%2Fj.neulet.2010.09.018http://dx.doi.org/10.1016%2Fj.neulet.2010.09.018http://dx.doi.org/10.1038%2Fnature09204http://dx.doi.org/10.1038%2Fnature09204http://dx.doi.org/10.1083%2Fjcb.200507002http://dx.doi.org/10.1083%2Fjcb.200507002http://dx.doi.org/10.1083%2Fjcb.200507002http://dx.doi.org/10.1083%2Fjcb.200507002http://dx.doi.org/10.1074%2Fjbc.270.5.2320http://dx.doi.org/10.1074%2Fjbc.270.5.2320http://dx.doi.org/10.1074%2Fjbc.270.5.2320http://dx.doi.org/10.1002%2Fjez.1401580203http://dx.doi.org/10.1002%2Fjez.1401580203http://dx.doi.org/10.1002%2Fjez.1401580203http://dx.doi.org/10.1074%2Fjbc.M507201200http://dx.doi.org/10.1074%2Fjbc.M507201200http://dx.doi.org/10.1074%2Fjbc.M507201200http://dx.doi.org/10.1091%2Fmbc.E08-12-1250http://dx.doi.org/10.1091%2Fmbc.E08-12-1250http://dx.doi.org/10.1016%2Fj.cell.2006.05.034http://dx.doi.org/10.1016%2Fj.cell.2006.05.034http://dx.doi.org/10.1016%2Fj.cell.2006.05.034http://dx.doi.org/10.4161%2Fauto.7.7.15491http://dx.doi.org/10.4161%2Fauto.7.7.15491http://dx.doi.org/10.4161%2Fauto.7.7.15491http://dx.doi.org/10.1016%2Fj.molcel.2011.06.038http://dx.doi.org/10.1016%2Fj.molcel.2011.06.038http://dx.doi.org/10.1016%2Fj.molcel.2011.06.038http://dx.doi.org/10.1042%2FBJ20070490http://dx.doi.org/10.1042%2FBJ20070490http://dx.doi.org/10.1091%2Fmbc.01-12-0584http://dx.doi.org/10.1091%2Fmbc.01-12-0584http://dx.doi.org/10.1126%2Fscience.1196371http://dx.doi.org/10.1126%2Fscience.1196371http://dx.doi.org/10.1126%2Fscience.1196371http://dx.doi.org/10.1126%2Fscience.1196371http://dx.doi.org/10.1034%2Fj.1600-0854.2002.31204.xhttp://dx.doi.org/10.1034%2Fj.1600-0854.2002.31204.xhttp://dx.doi.org/10.1034%2Fj.1600-0854.2002.31204.xhttp://dx.doi.org/10.1073%2Fpnas.0502857102http://dx.doi.org/10.1073%2Fpnas.0502857102http://dx.doi.org/10.1091%2Fmbc.E09-09-0756http://dx.doi.org/10.1091%2Fmbc.E09-09-0756http://dx.doi.org/10.1016%2Fj.molcel.2010.05.009http://dx.doi.org/10.1016%2Fj.molcel.2010.05.009http://dx.doi.org/10.1016%2Fj.molcel.2010.05.009

  • Gao, W., Shen, Z., Shang, L. and Wang, X. (2011). Upregulation of human autophagy-initiation kinase ULK1 by tumor suppressor p53 contributes to DNA-damage-inducedcell death. Cell Death Differ. 18, 1598-1607.

    Gomes, L. C., Benedetto, G. D. and Scorrano, L. (2011). During autophagymitochondria elongate, are spared from degradation and sustain cell viability. Nat.Cell Biol. 13, 589-598.

    Graef, M. and Nunnari, J. (2011). Mitochondria regulate autophagy by conservedsignalling pathways. EMBO J. 30, 2101-2114.

    Guo, J. Y., Chen, H. Y., Mathew, R., Fan, J., Strohecker, A. M., Karsli-Uzunbas, G.,

    Kamphorst, J. J., Chen, G., Lemons, J. M., Karantza, V. et al. (2011). ActivatedRas requires autophagy to maintain oxidative metabolism and tumorigenesis. GenesDev. 25, 460-470.

    Häussinger, D., Hallbrucker, C., vom Dahl, S., Lang, F. and Gerok, W. (1990). Cellswelling inhibits proteolysis in perfused rat liver. Biochem. J. 272, 239-242.

    Hayashi-Nishino, M., Fujita, N., Noda, T., Yamaguchi, A., Yoshimori, T. and

    Yamamoto, A. (2009). A subdomain of the endoplasmic reticulum forms a cradle forautophagosome formation. Nat. Cell Biol. 11, 1433-1437.

    Hennig, K. M., Colombani, J. and Neufeld, T. P. (2006). TOR coordinates bulk andtargeted endocytosis in the Drosophila melanogaster fat body to regulate cell growth.J. Cell Biol. 173, 963-974.

    Hinnebusch, A. G. (1994). Translational control of GCN4: an in vivo barometer ofinitiation-factor activity. Trends Biochem. Sci. 19, 409-414.

    Hinnebusch, A. G. (1997). Translational regulation of yeast GCN4. A window onfactors that control initiator-trna binding to the ribosome. J. Biol. Chem. 272, 21661-21664.

    Ho, H., Kapadia, R., Al-Tahan, S., Ahmad, S. and Ganesan, A. K. (2011). WIPI1coordinates melanogenic gene transcription and melanosome formation via TORC1inhibition. J. Biol. Chem. 286, 12509-12523.

    Hosokawa, N., Hara, Y. and Mizushima, N. (2006). Generation of cell lines withtetracycline-regulated autophagy and a role for autophagy in controlling cell size.FEBS Lett. 580, 2623-2629.

    Huber, A., French, S. L., Tekotte, H., Yerlikaya, S., Stahl, M., Perepelkina, M. P.,

    Tyers, M., Rougemont, J., Beyer, A. L. and Loewith, R. (2011). Sch9 regulatesribosome biogenesis via Stb3, Dot6 and Tod6 and the histone deacetylase complexRPD3L. EMBO J. 30, 3052-3064.

    Huynh, L. N., Thangavel, M., Chen, T., Cottrell, R., Mitchell, J. M. and Praetorius-

    Ibba, M. (2010). Linking tRNA localization with activation of nutritional stressresponses. Cell Cycle 9, 3112-3118.

    Jiang, H., Martin, V., Gomez-Manzano, C., Johnson, D. G., Alonso, M., White, E.,Xu, J., McDonnell, T. J., Shinojima, N. and Fueyo, J. (2010). The RB-E2F1pathway regulates autophagy. Cancer Res. 70, 7882-7893.

    Jünger, M. A., Rintelen, F., Stocker, H., Wasserman, J. D., Végh, M., Radimerski, T.,Greenberg, M. E. and Hafen, E. (2003). The Drosophila forkhead transcription factorFOXO mediates the reduction in cell number associated with reduced insulin signaling.J. Biol. 2, 20.

    Kamada, Y., Yoshino, K., Kondo, C., Kawamata, T., Oshiro, N., Yonezawa, K. and

    Ohsumi, Y. (2010). Tor directly controls the Atg1 kinase complex to regulateautophagy. Mol. Cell. Biol. 30, 1049-1058.

    Kanki, T. and Klionsky, D. J. (2008). Mitophagy in yeast occurs through a selectivemechanism. J. Biol. Chem. 283, 32386-32393.

    Kantidakis, T., Ramsbottom, B. A., Birch, J. L., Dowding, S. N. and White, R. J.

    (2010). mTOR associates with TFIIIC, is found at tRNA and 5S rRNA genes, andtargets their repressor Maf1. Proc. Natl. Acad. Sci. USA 107, 11823-11828.

    Kijanska, M., Dohnal, I., Reiter, W., Kaspar, S., Stoffel, I., Ammerer, G., Kraft, C.

    and Peter, M. (2010). Activation of Atg1 kinase in autophagy by regulatedphosphorylation. Autophagy 6, 1168-1178.

    Kim, J., Kundu, M., Viollet, B. and Guan, K. L. (2011a). AMPK and mTOR regulateautophagy through direct phosphorylation of Ulk1. Nat. Cell Biol. 13, 132-141.

    Kim, M. J., Woo, S. J., Yoon, C. H., Lee, J. S., An, S., Choi, Y. H., Hwang, S. G.,

    Yoon, G. and Lee, S. J. (2011b). Involvement of autophagy in oncogenic K-Ras-induced malignant cell transformation. J. Biol. Chem. 286, 12924-12932.

    Kim, P. K., Hailey, D. W., Mullen, R. T. and Lippincott-Schwartz, J. (2008).Ubiquitin signals autophagic degradation of cytosolic proteins and peroxisomes. Proc.Natl. Acad. Sci. USA 105, 20567-20574.

    Klionsky, D. J., Abeliovich, H., Agostinis, P., Agrawal, D. K., Aliev, G., Askew,D. S., Baba, M., Baehrecke, E. H., Bahr, B. A., Ballabio, A. et al. (2008).Guidelines for the use and interpretation of assays for monitoring autophagy in highereukaryotes. Autophagy 4, 151-175.

    Korolchuk, V. I., Saiki, S., Lichtenberg, M., Siddiqi, F. H., Roberts, E. A., Imarisio, S.,

    Jahreiss, L., Sarkar, S., Futter, M., Menzies, F. M. et al. (2011). Lysosomalpositioning coordinates cellular nutrient responses. Nat. Cell Biol. 13, 453-460.

    Kraft, C., Deplazes, A., Sohrmann, M. and Peter, M. (2008). Mature ribosomes areselectively degraded upon starvation by an autophagy pathway requiring the Ubp3p/Bre5p ubiquitin protease. Nat. Cell Biol. 10, 602-610.

    Kristensen, A. R., Schandorff, S., Høyer-Hansen, M., Nielsen, M. O., Jäättelä, M.,

    Dengjel, J. and Andersen, J. S. (2008). Ordered organelle degradation duringstarvation-induced autophagy. Mol. Cell. Proteomics 7, 2419-2428.

    Kundu, M., Lindsten, T., Yang, C. Y., Wu, J., Zhao, F., Zhang, J., Selak, M. A., Ney,P. A. and Thompson, C. B. (2008). Ulk1 plays a critical role in the autophagicclearance of mitochondria and ribosomes during reticulocyte maturation. Blood 112,1493-1502.

    Kuo, T. C., Chen, C. T., Baron, D., Onder, T. T., Loewer, S., Almeida, S.,

    Weismann, C. M., Xu, P., Houghton, J. M., Gao, F. B. et al. (2011). Midbody

    accumulation through evasion of autophagy contributes to cellular reprogrammingand tumorigenicity. Nat. Cell Biol. 13, 1214-1223.

    Lee, S. B., Kim, S., Lee, J., Park, J., Lee, G., Kim, Y., Kim, J. M. and Chung, J.(2007). ATG1, an autophagy regulator, inhibits cell growth by negatively regulatingS6 kinase. EMBO Rep. 8, 360-365.

    Li, L., Kim, E., Yuan, H., Inoki, K., Goraksha-Hicks, P., Schiesher, R. L., Neufeld,

    T. P. and Guan, K. L. (2010). Regulation of mTORC1 by the Rab and Arf GTPases.J. Biol. Chem. 285, 19705-19709.

    Liang, J., Shao, S. H., Xu, Z. X., Hennessy, B., Ding, Z., Larrea, M., Kondo, S.,

    Dumont, D. J., Gutterman, J. U., Walker, C. L. et al. (2007). The energy sensingLKB1-AMPK pathway regulates p27(kip1) phosphorylation mediating the decision toenter autophagy or apoptosis. Nat. Cell Biol. 9, 218-224.

    Lipinski, M. M., Hoffman, G., Ng, A., Zhou, W., Py, B. F., Hsu, E., Liu, X.,Eisenberg, J., Liu, J., Blenis, J. et al. (2010). A genome-wide siRNA screen revealsmultiple mTORC1 independent signaling pathways regulating autophagy undernormal nutritional conditions. Dev. Cell 18, 1041-1052.

    Lippman, S. I. and Broach, J. R. (2009). Protein kinase A and TORC1 activate genesfor ribosomal biogenesis by inactivating repressors encoded by Dot6 and its homologTod6. Proc. Natl. Acad. Sci. USA 106, 19928-19933.

    Lock, R., Roy, S., Kenific, C. M., Su, J. S., Salas, E., Ronen, S. M. and Debnath, J.

    (2011). Autophagy facilitates glycolysis during Ras-mediated oncogenic transformation.Mol. Biol. Cell 22, 165-178.

    Lum, J. J., Bauer, D. E., Kong, M., Harris, M. H., Li, C., Lindsten, T. andThompson, C. B. (2005). Growth factor regulation of autophagy and cell survival inthe absence of apoptosis. Cell 120, 237-248.

    Maiuri, M. C., Malik, S. A., Morselli, E., Kepp, O., Criollo, A., Mouchel, P. L.,Carnuccio, R. and Kroemer, G. (2009). Stimulation of autophagy by the p53 targetgene Sestrin2. Cell Cycle 8, 1571-1576.

    Mammucari, C., Milan, G., Romanello, V., Masiero, E., Rudolf, R., Del Piccolo, P.,Burden, S. J., Di Lisi, R., Sandri, C., Zhao, J. et al. (2007). FoxO3 controlsautophagy in skeletal muscle in vivo. Cell Metab. 6, 458-471

    Mayer, C., Zhao, J., Yuan, X. and Grummt, I. (2004). mTOR-dependent activation ofthe transcription factor TIF-IA links rRNA synthesis to nutrient availability. GenesDev. 18, 423-434.

    McCubrey, J. A., Steelman, L. S., Chappell, W. H., Abrams, S. L., Wong, E. W.,

    Chang, F., Lehmann, B., Terrian, D. M., Milella, M., Tafuri, A. et al. (2007).Roles of the Raf/MEK/ERK pathway in cell growth, malignant transformation anddrug resistance. Biochim. Biophys. Acta 1773, 1263-1284.

    Mizushima, N. (2010). The role of the Atg1/ULK1 complex in autophagy regulation.Curr. Opin. Cell Biol. 22, 132-139.

    Mizushima, N., Yoshimori, T. and Ohsumi, Y. (2011). The role of Atg proteins inautophagosome formation. Annu. Rev. Cell Dev. Biol. 27, 107-132.

    Narita, M., Young, A. R., Arakawa, S., Samarajiwa, S. A., Nakashima, T., Yoshida, S.,

    Hong, S., Berry, L. S., Reichelt, S., Ferreira, M. et al. (2011). Spatial coupling ofmTOR and autophagy augments secretory phenotypes. Science 332, 966-970.

    Natarajan, K., Meyer, M. R., Jackson, B. M., Slade, D., Roberts, C., Hinnebusch,

    A. G. and Marton, M. J. (2001). Transcriptional profiling shows that Gcn4p is amaster regulator of gene expression during amino acid starvation in yeast. Mol. Cell.Biol. 21, 4347-4368.

    Neufeld, T. P. (2004). Role of autophagy in developmental cell growth and death:insights from Drosophila. In Autophagy (ed. D. J. Klionsky), pp. 224-232,Georgetown: Landes Bioscience.

    Nobukuni, T., Joaquin, M., Roccio, M., Dann, S. G., Kim, S. Y., Gulati, P., Byfield,

    M. P., Backer, J. M., Natt, F., Bos, J. L. et al. (2005). Amino acids mediate mTOR/raptor signaling through activation of class 3 phosphatidylinositol 3OH-kinase. Proc.Natl. Acad. Sci. USA 102, 14238-14243.

    Ogura, Y., Iemitsu, M., Naito, H., Kakigi, R., Kakehashi, C., Maeda, S. and Akema, T.(2011). Single bout of running exercise changes LC3-II expression in rat cardiac muscle.Biochem. Biophys. Res. Commun. 414, 756-760.

    Ohsaki, Y., Suzuki, M., Shinohara, Y. and Fujimoto, T. (2010). Lysosomalaccumulation of mTOR is enhanced by rapamycin. Histochem. Cell Biol. 134, 537-544.

    Pohl, C. and Jentsch, S. (2009). Midbody ring disposal by autophagy is a post-abscission event of cytokinesis. Nat. Cell Biol. 11, 65-70.

    Polager, S., Ofir, M. and Ginsberg, D. (2008). E2F1 regulates autophagy and thetranscription of autophagy genes. Oncogene 27, 4860-4864.

    Proud, C. G. (2007). Signalling to translation: how signal transduction pathways controlthe protein synthetic machinery. Biochem. J. 403, 217-234.

    Ramachandran, V. and Herman, P. K. (2011). Antagonistic interactions between thecAMP-dependent protein kinase and Tor signaling pathways modulate cell growth inSaccharomyces cerevisiae. Genetics 187, 441-454.

    Rambold, A. S., Kostelecky, B., Elia, N. and Lippincott-Schwartz, J. (2011). Tubularnetwork formation protects mitochondria from autophagosomal degradation duringnutrient starvation. Proc. Natl. Acad. Sci. USA 108, 10190-10195.

    Rong, Y., McPhee, C. K., Deng, S., Huang, L., Chen, L., Liu, M., Tracy, K.,

    Baehrecke, E. H., Yu, L. and Lenardo, M. J. (2011). Spinster is required forautophagic lysosome reformation and mTOR reactivation following starvation. Proc.Natl. Acad. Sci. USA 108, 7826-7831.

    Sancak, Y., Bar-Peled, L., Zoncu, R., Markhard, A. L., Nada, S. and Sabatini, D. M.

    (2010). Ragulator-Rag complex targets mTORC1 to the lysosomal surface and isnecessary for its activation by amino acids. Cell 141, 290-303.

    Scott, R. C., Schuldiner, O. and Neufeld, T. P. (2004). Role and regulation ofstarvation-induced autophagy in the Drosophila fat body. Dev. Cell 7, 167-178.

    Cell growth and autophagy 2367

    Journ

    alof

    Cell

    Scie

    nce

    http://dx.doi.org/10.1038%2Fcdd.2011.33http://dx.doi.org/10.1038%2Fcdd.2011.33http://dx.doi.org/10.1038%2Fcdd.2011.33http://dx.doi.org/10.1038%2Femboj.2011.104http://dx.doi.org/10.1038%2Femboj.2011.104http://dx.doi.org/10.1101%2Fgad.2016311http://dx.doi.org/10.1101%2Fgad.2016311http://dx.doi.org/10.1101%2Fgad.2016311http://dx.doi.org/10.1101%2Fgad.2016311http://dx.doi.org/10.1038%2Fncb1991http://dx.doi.org/10.1038%2Fncb1991http://dx.doi.org/10.1038%2Fncb1991http://dx.doi.org/10.1083%2Fjcb.200511140http://dx.doi.org/10.1083%2Fjcb.200511140http://dx.doi.org/10.1083%2Fjcb.200511140http://dx.doi.org/10.1016%2F0968-0004%2894%2990089-2http://dx.doi.org/10.1016%2F0968-0004%2894%2990089-2http://dx.doi.org/10.1074%2Fjbc.272.35.21661http://dx.doi.org/10.1074%2Fjbc.272.35.21661http://dx.doi.org/10.1074%2Fjbc.272.35.21661http://dx.doi.org/10.1074%2Fjbc.M110.200543http://dx.doi.org/10.1074%2Fjbc.M110.200543http://dx.doi.org/10.1074%2Fjbc.M110.200543http://dx.doi.org/10.1016%2Fj.febslet.2006.04.008http://dx.doi.org/10.1016%2Fj.febslet.2006.04.008http://dx.doi.org/10.1016%2Fj.febslet.2006.04.008http://dx.doi.org/10.1038%2Femboj.2011.221http://dx.doi.org/10.1038%2Femboj.2011.221http://dx.doi.org/10.1038%2Femboj.2011.221http://dx.doi.org/10.1038%2Femboj.2011.221http://dx.doi.org/10.4161%2Fcc.9.15.12525http://dx.doi.org/10.4161%2Fcc.9.15.12525http://dx.doi.org/10.4161%2Fcc.9.15.12525http://dx.doi.org/10.1158%2F0008-5472.CAN-10-1604http://dx.doi.org/10.1158%2F0008-5472.CAN-10-1604http://dx.doi.org/10.1158%2F0008-5472.CAN-10-1604http://dx.doi.org/10.1186%2F1475-4924-2-20http://dx.doi.org/10.1186%2F1475-4924-2-20http://dx.doi.org/10.1186%2F1475-4924-2-20http://dx.doi.org/10.1186%2F1475-4924-2-20http://dx.doi.org/10.1128%2FMCB.01344-09http://dx.doi.org/10.1128%2FMCB.01344-09http://dx.doi.org/10.1128%2FMCB.01344-09http://dx.doi.org/10.1074%2Fjbc.M802403200http://dx.doi.org/10.1074%2Fjbc.M802403200http://dx.doi.org/10.1073%2Fpnas.1005188107http://dx.doi.org/10.1073%2Fpnas.1005188107http://dx.doi.org/10.1073%2Fpnas.1005188107http://dx.doi.org/10.4161%2Fauto.6.8.13849http://dx.doi.org/10.4161%2Fauto.6.8.13849http://dx.doi.org/10.4161%2Fauto.6.8.13849http://dx.doi.org/10.1038%2Fncb2152http://dx.doi.org/10.1038%2Fncb2152http://dx.doi.org/10.1074%2Fjbc.M110.138958http://dx.doi.org/10.1074%2Fjbc.M110.138958http://dx.doi.org/10.1074%2Fjbc.M110.138958http://dx.doi.org/10.1073%2Fpnas.0810611105http://dx.doi.org/10.1073%2Fpnas.0810611105http://dx.doi.org/10.1073%2Fpnas.0810611105http://dx.doi.org/10.1038%2Fncb2204http://dx.doi.org/10.1038%2Fncb2204http://dx.doi.org/10.1038%2Fncb2204http://dx.doi.org/10.1038%2Fncb1723http://dx.doi.org/10.1038%2Fncb1723http://dx.doi.org/10.1038%2Fncb1723http://dx.doi.org/10.1074%2Fmcp.M800184-MCP200http://dx.doi.org/10.1074%2Fmcp.M800184-MCP200http://dx.doi.org/10.1074%2Fmcp.M800184-MCP200http://dx.doi.org/10.1182%2Fblood-2008-02-137398http://dx.doi.org/10.1182%2Fblood-2008-02-137398http://dx.doi.org/10.1182%2Fblood-2008-02-137398http://dx.doi.org/10.1182%2Fblood-2008-02-137398http://dx.doi.org/10.1038%2Fncb2332http://dx.doi.org/10.1038%2Fncb2332http://dx.doi.org/10.1038%2Fncb2332http://dx.doi.org/10.1038%2Fncb2332http://dx.doi.org/10.1038%2Fsj.embor.7400917http://dx.doi.org/10.1038%2Fsj.embor.7400917http://dx.doi.org/10.1038%2Fsj.embor.7400917http://dx.doi.org/10.1074%2Fjbc.C110.102483http://dx.doi.org/10.1074%2Fjbc.C110.102483http://dx.doi.org/10.1074%2Fjbc.C110.102483http://dx.doi.org/10.1038%2Fncb1537http://dx.doi.org/10.1038%2Fncb1537http://dx.doi.org/10.1038%2Fncb1537http://dx.doi.org/10.1038%2Fncb1537http://dx.doi.org/10.1016%2Fj.devcel.2010.05.005http://dx.doi.org/10.1016%2Fj.devcel.2010.05.005http://dx.doi.org/10.1016%2Fj.devcel.2010.05.005http://dx.doi.org/10.1016%2Fj.devcel.2010.05.005http://dx.doi.org/10.1091%2Fmbc.E10-06-0500http://dx.doi.org/10.1091%2Fmbc.E10-06-0500http://dx.doi.org/10.1091%2Fmbc.E10-06-0500http://dx.doi.org/10.1016%2Fj.cell.2004.11.046http://dx.doi.org/10.1016%2Fj.cell.2004.11.046http://dx.doi.org/10.1016%2Fj.cell.2004.11.046http://dx.doi.org/10.4161%2Fcc.8.10.8498http://dx.doi.org/10.4161%2Fcc.8.10.8498http://dx.doi.org/10.4161%2Fcc.8.10.8498http://dx.doi.org/10.1016%2Fj.cmet.2007.11.001http://dx.doi.org/10.1016%2Fj.cmet.2007.11.001http://dx.doi.org/10.1016%2Fj.cmet.2007.11.001http://dx.doi.org/10.1101%2Fgad.285504http://dx.doi.org/10.1101%2Fgad.285504http://dx.doi.org/10.1101%2Fgad.285504http://dx.doi.org/10.1016%2Fj.bbamcr.2006.10.001http://dx.doi.org/10.1016%2Fj.bbamcr.2006.10.001http://dx.doi.org/10.1016%2Fj.bbamcr.2006.10.001http://dx.doi.org/10.1016%2Fj.bbamcr.2006.10.001http://dx.doi.org/10.1016%2Fj.ceb.2009.12.004http://dx.doi.org/10.1016%2Fj.ceb.2009.12.004http://dx.doi.org/10.1146%2Fannurev-cellbio-092910-154005http://dx.doi.org/10.1146%2Fannurev-cellbio-092910-154005http://dx.doi.org/10.1126%2Fscience.1205407http://dx.doi.org/10.1126%2Fscience.1205407http://dx.doi.org/10.1126%2Fscience.1205407http://dx.doi.org/10.1128%2FMCB.21.13.4347-4368.2001http://dx.doi.org/10.1128%2FMCB.21.13.4347-4368.2001http://dx.doi.org/10.1128%2FMCB.21.13.4347-4368.2001http://dx.doi.org/10.1128%2FMCB.21.13.4347-4368.2001http://dx.doi.org/10.1073%2Fpnas.0506925102http://dx.doi.org/10.1073%2Fpnas.0506925102http://dx.doi.org/10.1073%2Fpnas.0506925102http://dx.doi.org/10.1073%2Fpnas.0506925102http://dx.doi.org/10.1016%2Fj.bbrc.2011.09.152http://dx.doi.org/10.1016%2Fj.bbrc.2011.09.152http://dx.doi.org/10.1016%2Fj.bbrc.2011.09.152http://dx.doi.org/10.1007%2Fs00418-010-0759-xhttp://dx.doi.org/10.1007%2Fs00418-010-0759-xhttp://dx.doi.org/10.1007%2Fs00418-010-0759-xhttp://dx.doi.org/10.1038%2Fncb1813http://dx.doi.org/10.1038%2Fncb1813http://dx.doi.org/10.1038%2Fonc.2008.117http://dx.doi.org/10.1038%2Fonc.2008.117http://dx.doi.org/10.1042%2FBJ20070024http://dx.doi.org/10.1042%2FBJ20070024http://dx.doi.org/10.1534%2Fgenetics.110.123372http://dx.doi.org/10.1534%2Fgenetics.110.123372http://dx.doi.org/10.1534%2Fgenetics.110.123372http://dx.doi.org/10.1073%2Fpnas.1107402108http://dx.doi.org/10.1073%2Fpnas.1107402108http://dx.doi.org/10.1073%2Fpnas.1107402108http://dx.doi.org/10.1073%2Fpnas.1013800108http://dx.doi.org/10.1073%2Fpnas.1013800108http://dx.doi.org/10.1073%2Fpnas.1013800108http://dx.doi.org/10.1073%2Fpnas.1013800108http://dx.doi.org/10.1016%2Fj.cell.2010.02.024http://dx.doi.org/10.1016%2Fj.cell.2010.02.024http://dx.doi.org/10.1016%2Fj.cell.2010.02.024http://dx.doi.org/10.1016%2Fj.devcel.2004.07.009http://dx.doi.org/10.1016%2Fj.devcel.2004.07.009

  • Scott, R. C., Juhász, G. and Neufeld, T. P. (2007). Direct induction of autophagy byAtg1 inhibits cell growth and induces apoptotic cell death. Curr. Biol. 17, 1-11.

    Settembre, C., Di Malta, C., Polito, V. A., Garcia Arencibia, M., Vetrini, F., Erdin, S.,Erdin, S. U., Huynh, T., Medina, D., Colella, P. et al. (2011). TFEB links autophagyto lysosomal biogenesis. Science 332, 1429-1433.

    Shang, L., Chen, S., Du, F., Li, S., Zhao, L. and Wang, X. (2011). Nutrient starvationelicits an acute autophagic response mediated by Ulk1 dephosphorylation and itssubsequent dissociation from AMPK. Proc. Natl. Acad. Sci. USA 108, 4788-4793.

    Shin, C. S. and Huh, W. K. (2011). Bidirectional regulation between TORC1 andautophagy in Saccharomyces cerevisiae. Autophagy 7, 854-862.

    Simonsen, A. and Tooze, S. A. (2009). Coordination of membrane events duringautophagy by multiple class III PI3-kinase complexes. J. Cell Biol. 186, 773-782.

    Slavov, N. and Botstein, D. (2011). Coupling among growth rate response, metaboliccycle, and cell division cycle in yeast. Mol. Biol. Cell 22, 1997-2009.

    Stahl, M., Dijkers, P. F., Kops, G. J., Lens, S. M., Coffer, P. J., Burgering, B. M. andMedema, R. H. (2002). The forkhead transcription factor FoxO regulatestranscription of p27Kip1 and Bim in response to IL-2. J. Immunol. 168, 5024-5031.

    Stephan, J. S., Yeh, Y. Y., Ramachandran, V., Deminoff, S. J. and Herman, P. K.(2009). The Tor and PKA signaling pathways independently target the Atg1/Atg13protein kinase complex to control autophagy. Proc. Natl. Acad. Sci. USA 106, 17049-17054.

    Tasdemir, E., Maiuri, M. C., Tajeddine, N., Vitale, I., Criollo, A., Vicencio, J. M.,

    Hickman, J. A., Geneste, O. and Kroemer, G. (2007). Cell cycle-dependentinduction of autophagy, mitophagy and reticulophagy. Cell Cycle 6, 2263-2267.

    Tasdemir, E., Maiuri, M. C., Galluzzi, L., Vitale, I., Djavaheri-Mergny, M.,D’Amelio, M., Criollo, A., Morselli, E., Zhu, C., Harper, F. et al. (2008).Regulation of autophagy by cytoplasmic p53. Nat. Cell Biol. 10, 676-687.

    Taylor, P. M. (2009). Amino acid transporters: éminences grises of nutrient signallingmechanisms? Biochem. Soc. Trans. 37, 237-241.

    Tracy, K., Dibling, B. C., Spike, B. T., Knabb, J. R., Schumacker, P. and Macleod,K. F. (2007). BNIP3 is an RB/E2F target gene required for hypoxia-inducedautophagy. Mol. Cell. Biol. 27, 6229-6242.

    Vazquez-Martin, A., Cufı́, S., Oliveras-Ferraros, C. and Menendez, J. A. (2011).Raptor, a positive regulatory subunit of mTOR complex 1, is a novel phosphoproteinof the rDNA transcription machinery in nucleoli and chromosomal nucleolusorganizer regions (NORs). Cell Cycle 10, 3140-3152.

    Williams, A., Sarkar, S., Cuddon, P., Ttofi, E. K., Saiki, S., Siddiqi, F. H., Jahreiss, L.,Fleming, A., Pask, D., Goldsmith, P. et al. (2008). Novel targets for Huntington’sdisease in an mTOR-independent autophagy pathway. Nat. Chem. Biol. 4, 295-305.

    Yamamoto, A., Cremona, M. L. and Rothman, J. E. (2006). Autophagy-mediatedclearance of huntingtin aggregates triggered by the insulin-signaling pathway. J. CellBiol. 172, 719-731.

    Yang, Z., Geng, J., Yen, W. L., Wang, K. and Klionsky, D. J. (2010). Positive ornegative roles of different cyclin-dependent kinase Pho85-cyclin complexesorchestrate induction of autophagy in Saccharomyces cerevisiae. Mol. Cell 38, 250-264.

    Yeh, Y. Y., Wrasman, K. and Herman, P. K. (2010). Autophosphorylation within theAtg1 activation loop is required for both kinase activity and the induction ofautophagy in Saccharomyces cerevisiae. Genetics 185, 871-882.

    Yeh, Y. Y., Shah, K. H. and Herman, P. K. (2011). An Atg13 protein-mediated self-association of the Atg1 protein kinase is important for the induction of autophagy. J.Biol. Chem. 286, 28931-28939.

    Ylä-Anttila, P., Vihinen, H., Jokitalo, E. and Eskelinen, E. L. (2009). 3D tomographyreveals connections between the phagophore and endoplasmic reticulum. Autophagy5, 1180-1185.

    Youle, R. J. and Narendra, D. P. (2011). Mechanisms of mitophagy. Nat. Rev. Mol.Cell Biol. 12, 9-14.

    Yu, L., McPhee, C. K., Zheng, L., Mardones, G. A., Rong, Y., Peng, J., Mi, N., Zhao, Y.,

    Liu, Z., Wan, F. et al. (2010). Termination of autophagy and reformation of lysosomesregulated by mTOR. Nature 465, 942-946.

    Zhang, L., Yu, J., Pan, H., Hu, P., Hao, Y., Cai, W., Zhu, H., Yu, A. D., Xie, X., Ma, D.

    et al. (2007). Small molecule regulators of autophagy identified by an image-basedhigh-throughput screen. Proc. Natl. Acad. Sci. USA 104, 19023-19028.

    Zhang, Y., Yan, L., Zhou, Z., Yang, P., Tian, E., Zhang, K., Zhao, Y., Li, Z., Song, B.,Han, J. et al. (2009). SEPA-1 mediates the specific recognition and degradation of Pgranule components by autophagy in C. elegans. Cell 136, 308-321.

    Zhao, J., Brault, J. J., Schild, A., Cao, P., Sandri, M., Schiaffino, S., Lecker, S. H.

    and Goldberg, A. L. (2007). FoxO3 coordinately activates protein degradation by theautophagic/lysosomal and proteasomal pathways in atrophying muscle cells. CellMetab. 6, 472-483.

    Zhao, Y., Yang, J., Liao, W., Liu, X., Zhang, H., Wang, S., Wang, D., Feng, J.,Yu, L. and Zhu, W. G. (2010). Cytosolic FoxO1 is essential for the induction ofautophagy and tumour suppressor activity. Nat. Cell Biol. 12, 665-675.

    Zoncu, R., Bar-Peled, L., Efeyan, A., Wang, S., Sancak, Y. and Sabatini, D. M.(2011a). mTORC1 senses lysosomal amino acids through an inside-out mechanismthat requires the vacuolar H(+)-ATPase. Science 334, 678-683.

    Zoncu, R., Efeyan, A. and Sabatini, D. M. (2011b). mTOR: from growth signalintegration to cancer, diabetes and ageing. Nat. Rev. Mol. Cell Biol. 12, 21-35.

    Journal of Cell Science 125 (10)2368

    Journ

    alof

    Cell

    Scie

    nce

    http://dx.doi.org/10.1016%2Fj.cub.2006.10.053http://dx.doi.org/10.1016%2Fj.cub.2006.10.053http://dx.doi.org/10.1126%2Fscience.1204592http://dx.doi.org/10.1126%2Fscience.1204592http://dx.doi.org/10.1126%2Fscience.1204592http://dx.doi.org/10.1073%2Fpnas.1100844108http://dx.doi.org/10.1073%2Fpnas.1100844108http://dx.doi.org/10.1073%2Fpnas.1100844108http://dx.doi.org/10.4161%2Fauto.7.8.15696http://dx.doi.org/10.4161%2Fauto.7.8.15696http://dx.doi.org/10.1083%2Fjcb.200907014http://dx.doi.org/10.1083%2Fjcb.200907014http://dx.doi.org/10.1091%2Fmbc.E11-02-0132http://dx.doi.org/10.1091%2Fmbc.E11-02-0132http://dx.doi.org/10.1073%2Fpnas.0903316106http://dx.doi.org/10.1073%2Fpnas.0903316106http://dx.doi.org/10.1073%2Fpnas.0903316106http://dx.doi.org/10.1073%2Fpnas.0903316106http://dx.doi.org/10.4161%2Fcc.6.18.4681http://dx.doi.org/10.4161%2Fcc.6.18.4681http://dx.doi.org/10.4161%2Fcc.6.18.4681http://dx.doi.org/10.1038%2Fncb1730http://dx.doi.org/10.1038%2Fncb1730http://dx.doi.org/10.1038%2Fncb1730http://dx.doi.org/10.1042%2FBST0370237http://dx.doi.org/10.1042%2FBST0370237http://dx.doi.org/10.1128%2FMCB.02246-06http://dx.doi.org/10.1128%2FMCB.02246-06http://dx.doi.org/10.1128%2FMCB.02246-06http://dx.doi.org/10.4161%2Fcc.10.18.17376http://dx.doi.org/10.4161%2Fcc.10.18.17376http://dx.doi.org/10.4161%2Fcc.10.18.17376http://dx.doi.org/10.4161%2Fcc.10.18.17376http://dx.doi.org/10.1038%2Fnchembio.79http://dx.doi.org/10.1038%2Fnchembio.79http://dx.doi.org/10.1038%2Fnchembio.79http://dx.doi.org/10.1083%2Fjcb.200510065http://dx.doi.org/10.1083%2Fjcb.200510065http://dx.doi.org/10.1083%2Fjcb.200510065http://dx.doi.org/10.1016%2Fj.molcel.2010.02.033http://dx.doi.org/10.1016%2Fj.molcel.2010.02.033http://dx.doi.org/10.1016%2Fj.molcel.2010.02.033http://dx.doi.org/10.1016%2Fj.molcel.2010.02.033http://dx.doi.org/10.1534%2Fgenetics.110.116566http://dx.doi.org/10.1534%2Fgenetics.110.116566http://dx.doi.org/10.1534%2Fgenetics.110.116566http://dx.doi.org/10.1074%2Fjbc.M111.250324http://dx.doi.org/10.1074%2Fjbc.M111.250324http://dx.doi.org/10.1074%2Fjbc.M111.250324http://dx.doi.org/10.4161%2Fauto.5.8.10274http://dx.doi.org/10.4161%2Fauto.5.8.10274http://dx.doi.org/10.4161%2Fauto.5.8.10274http://dx.doi.org/10.1038%2Fnrm3028http://dx.doi.org/10.1038%2Fnrm3028http://dx.doi.org/10.1038%2Fnature09076http://dx.doi.org/10.1038%2Fnature09076http://dx.doi.org/10.1038%2Fnature09076http://dx.doi.org/10.1073%2Fpnas.0709695104http://dx.doi.org/10.1073%2Fpnas.0709695104http://dx.doi.org/10.1073%2Fpnas.0709695104http://dx.doi.org/10.1016%2Fj.cell.2008.12.022http://dx.doi.org/10.1016%2Fj.cell.2008.12.022http://dx.doi.org/10.1016%2Fj.cell.2008.12.022http://dx.doi.org/10.1016%2Fj.cmet.2007.11.004http://dx.doi.org/10.1016%2Fj.cmet.2007.11.004http://dx.doi.org/10.1016%2Fj.cmet.2007.11.004http://dx.doi.org/10.1016%2Fj.cmet.2007.11.004http://dx.doi.org/10.1038%2Fncb2069http://dx.doi.org/10.1038%2Fncb2069http://dx.doi.org/10.1038%2Fncb2069http://dx.doi.org/10.1126%2Fscience.1207056http://dx.doi.org/10.1126%2Fscience.1207056http://dx.doi.org/10.1126%2Fscience.1207056http://dx.doi.org/10.1038%2Fnrm3025http://dx.doi.org/10.1038%2Fnrm3025

    Fig 1Fig 2Fig 3Fig 4Ref 1Ref 2Ref 3Ref 4Ref 5Ref 6Ref 7Ref 8Ref 9Ref 10Ref 11Ref 12Ref 13Ref 14Ref 15Ref 16Ref 17Ref 18Ref 19Ref 20Ref 21Ref 22Ref 22aRef 23Ref 24Ref 25Ref 26Ref 27Ref 28Ref 29Ref 30Ref 31Ref 32Ref 33Ref 34Ref 35Ref 36Ref 37Ref 38Ref 39Ref 40Ref 41Ref 42Ref 43Ref 44Ref 45Ref 46Ref 47Ref 48Ref 49Ref 50Ref 51Ref 52Ref 53Ref 54Ref 55Ref 56Ref 57Ref 58Ref 59Ref 60Ref 61Ref 62Ref 63Ref 64Ref 65Ref 66Ref 67Ref 68Ref 69Ref 70Ref 71Ref 72Ref 73Ref 74Ref 75Ref 76Ref 77Ref 78Ref 79Ref 80Ref 81Ref 82Ref 83Ref 84Ref 85Ref 86Ref 87Ref 88Ref 89Ref 90Ref 91Ref 92Ref 93Ref 94Ref 95Ref 96Ref 97Ref 98Ref 99Ref 100Ref 101Ref 102