Upload
tom-misteli
View
213
Download
1
Embed Size (px)
Citation preview
Concepts in nuclear architectureTom Misteli
SummaryGenomes are defined by their primary sequence. Thefunctional properties of genomes, however, are deter-mined by far more complex mechanisms and depend onmultiple layers of regulatory control processes. A keyemerging contributor to genome function is the architec-tural organization of the cell nucleus. The spatial andtemporal behavior of genomes and their regulatoryproteins are now being recognized as important, yet stillpoorly understood, control mechanisms in genomefunction. Combined cell biological, molecular and com-putational analysis of architectural aspects of genomefunction has added a further dimension to the investiga-tion of some of the most fundamental cellular processesincluding transcription and maintenance of genomeintegrity. The complete elucidation of the contributionthat nuclear architecture makes to gene expression willbe required to fully understand physiological processessuch as differentiation, development and disease at thecellular level. Here I give an overview of some of theemerging concepts in the study of in vivo genomeorganization and function. BioEssays 27:477–487,2005. Published 2005 Wiley Periodicals, Inc.{
Introduction
Genomes function in the context of nuclear architecture.
Recent work has lead to the realization that the mammalian
cell nucleus is a spatially and functionally compartmentalized
organelle containing numerous proteinaceous nuclear bodies
as well as non-randomly positioned genome domains. The
spatial and temporal aspects of genome organization have
likely functional consequences as indicated by the fact that
changes in nuclear architecture are amongst the most dra-
matic hallmarks of development and differentiation processes
and defects in architectural elements of the cell nucleus are
now known to be responsible for several human diseases.
The key question of how genome function is integrated into
the architectural framework of the cell nucleus and how
structural elements of the nucleus affect nuclear processes
including gene expression, DNA repair and genome stability
are critical to our understanding of genome function. The
intense study of nuclear architecture has lead to the
emergence of several general concepts, many of them
surprising and provocative. I give here a brief overview of the
most central ones. I deliberately do not discuss any one
concept in detail, but aim to provide a broad overview of the
general ideas that form the framework for our understanding of
nuclear function. For a detailed discourse of each topic, I refer
the reader to several excellent recent review articles.
The concept of nuclear compartments
A central feature of the mammalian cell nucleus is its
morphological and functional heterogeneity generated by the
presence of distinct nuclear compartments.(1,2) A nuclear
compartment is defined as a macroscopic region within the
nucleus that is morphologically and/or functionally distinct
from its surrounding. Compartments are generally proteinac-
eous nuclear bodies or chromatin domains (Fig. 1).
Proteinaceous nuclear ‘bodies’Nuclear compartments are membraneless suborganelles
characterized by a distinct set of resident proteins. The most
prominent nuclear bodies include the nucleolus, which is the
site of transcription and processing of ribosomal RNA, the
splicing factor compartments, which act as a storage/
assembly site for spliceosomal components, the Cajal body,
which is the proposed site of snRNP assembly and the PML
body, which is of unknown function.(1) In addition to these
structures, many additional nuclear bodies characterized by
the presence of one or multiple nuclear proteins have been
described in the literature.(2) The function of many of these
bodies remains elusive. However, conceptually at least three
models must be considered for the function of a nuclear body.
First, the body may not be of functional relevance. The obser-
ved morphological bodies may simply be a consequence of
aggregation of excess protein that is not used (Fig. 1). The
observation that overexpression of some nuclear proteins can
result in the formation of structures that appear by fluores-
cence microscopy indistinguishable from nuclear bodies and
the fact that in some cases overexpression of nuclear proteins
results in the de novo formation of nuclear bodies are
consistent with this notion.(3) Second, a nuclear body may be
a site of particular nuclear activities. Thismodel clearly applies
to the nucleolus, which contains all ribosomal genes and is the
site of the vast majority of processing of ribosomal RNA.(4)
Similarly, recent work has suggested that CBs may be sites of
assembly of snRNP particles or, alternatively, it has been
suggested that they are sites of assembly of transcription
complexes.(5–7) A thirdmodel suggests that anuclear body is a
site of inactivity and may serve as storage site to provide
components to its immediate surroundings. This model has
National Cancer Institute, NIH, Bethesda, MD 20892.
E-mail: [email protected]
DOI 10.1002/bies.20226
Published online in Wiley InterScience (www.interscience.wiley.com).
BioEssays 27:477–487, Published 2005 Wiley Periodicals, Inc. BioEssays 27.5 477{This article is a US government work and, as such, is in the public
domain in the United States of America.
Review articles
been applied to the splicing factor compartments.(8,9) These
compartments are enriched in pre-mRNA splicing factors but,
enigmatically, were found not to be sites of pre-mRNAsplicing.
However, upon activation of genes in the vicinity of these
compartments, splicing factors are recruited from the com-
partments to the activated sites of transcription, suggesting
that the compartment serves as a reservoir of factors without
being an active site of splicing.(10) In this function, compart-
ments might contribute to regulate the concentration of
available factors in the nucleoplasm and at their actual sites
of action.(8)
The absence of membranes provokes the question of how
nuclear compartments are formed and maintained. One
possibility is that the compartments contain structural proteins
that serve as a stable scaffold around which a nuclear body is
formed. However, no skeletal proteins have been identified for
any of the known nuclear bodies. An alternative possibility is
that nuclear bodies are largely the results of the sum of many,
likely transient and non-specific, interactions amongst its
resident proteins. In support of such a self-organizing model,
the potential for self-interaction has been reported for marker
proteins of virtually all nuclear bodies.(1,11)
Chromatin domainsIn addition to proteinaceous bodies, large-scale chromatin
domains exist within the nucleus. The major chromatin
domains are morphologically defined as euchromatin consist-
ing of less-condensed genome regions, whereas heterochro-
matin contains more highly condensed regions (Fig. 1).
Euchromatin is generally considered to be the site of ‘open’,
presumably transcriptionally active, chromatin regions and
heterochromatin is often thought of enriched in inactive and
silenced genome regions. While the two types of chromatin
can easily be defined based on their morphology, it is
becoming increasingly clear that the correlation of large-scale
chromatin morphology and function is an oversimplification. A
recent study by Bickmore and colleagues has directly compar-
ed the relationship of chromatin structure with gene activity on
a genome-wide scale.(12) Using biochemically defined probes,
the distribution of ‘open’, ‘closed’ and ‘bulk’ chromatin were
mapped on intact chromosomes and onto DNA chips. Rather
than finding a strong correlation between chromatin structure
and gene activity, a link between chromatin morphology and
gene density was found with gene-rich regions being present
in open chromatin regions and gene-poor regions in more-
condensed domains, regardless of their activity status. It thus
appears that the view of euchromatin as regions of genome
activity and heterochromatin as regions of genome inactivity is
oversimplistic.(12)
Heterochromatin and euchromatin can also, roughly, be
defined molecularly based on differential post-translational
modifications of core histones.(13) Euchromatin is generally
enriched in hyperacetylated histones H3 and H4, whereas
heterochromatin is characterized by hypoacetylation and tri-
methylation of histoneH3 on lysine 9. The latter modification is
thought to serve as a mark for heterochromatin and as a
binding site for structural heterochromatin proteins, which
likely contribute to maintaining the highly condensed state of
chromatin. How precisely the morphological, biochemical and
molecular definitions of chromatin domains correspond to the
functional status of the various chromatin regions is an issue of
current investigation.
The concept of chromosome territories
Chromosomes exist in the nucleus in the form of chromosome
territories.(14,15) This definition denotes the fact that the
genetic material of each chromosome is not widely distributed
throughout the nucleus but occupies a spatially defined
subvolume (Fig. 1). The existence of chromosome territories
was originally demonstrated by inducing DNA damage in a
Figure 1. Compartmentalization in the mamma-
lian nucleus. The nucleus contains proteinaceous
nuclear bodies, chromatin domains including
heterochromatin (dark grey) and euchromatin
(light grey) and chromosome territories. Nuclear
bodies caneither benon-specific aggregates, sites
of nuclear processes (rRNA transcription in the
nucleolus; green) or sites of inaction (storage of
splicing components in splicing factor compart-
ments; red).
Review articles
478 BioEssays 27.5
defined region of the nucleus using a microlaser and analysis
of the damaged chromosomes in the subsequent meta-
phase.(16) These ingenious experiments revealed that only a
small subset of chromosomes was damaged and that the
number of chromosomes was dependent on the size of the
irradiated area. These findings were most consistent with a
model in which chromosomes are arranged in spatially limited,
well-defined, nuclear subvolumes. This conclusion was later
directly confirmed by fluorescence in situ hybridization using
probes specific for entire chromosomes, which allowed the
visualization of chromosome territories in situ.(17)
Despite the fact that the outlines of the chromosome
territories are spatially well defined their internal structure is
still ambiguous.(18) Initially thought of as solid domainswith the
active transcribed genes at the surface and exposed to
regulatory factors thatmight be present in canal-like structures
between chromosome territories, it is now clear that chromo-
some territories are not solid structures, but rather are
permeated by nucleoplasmic channels of various sizes.(14)
This creates a porous entity with a highly convoluted and
enlarged surface area. This structural property likely facilitates
access of regulatory factors to sequences buried within the
chromosome territory.Chromosome territories are not uniform
in their structure and appearance and likely contain loops of
varying sizes leading to intermingling between neighboring
territories.(18) As a corollary of the discrete nature of chromo-
some territories, the possibility arises that chromosomes are
arranged in particular patterns within the nuclear space.(15)
The concept of non-random nuclear organization
One of the major emerging concepts in the study of nuclear
architecture is the non-random organization of the nuclear
space. Themammalian cell nucleus is highly non-randomboth
in its arrangement of the genome, of nuclear compartments
and of nuclear proteins. The non-random nature of nuclear
organization is oneof themost striking andpuzzling featuresof
the mammalian cell nucleus and the functional significance of
non-randomnuclear organization is oneof the current frontiers
in the field.
Genomes in three dimensionsGenomes are non-randomly arranged in three-dimensional
space.(14,15,19) A convenient, although highly simplistic,
indicator of the position of a chromosome or a locus is the
radial position, i.e. its location relative to the nuclear center or
the periphery (Fig. 2A). Amongst many other examples, in
lymphocytes and fibroblasts, the radial position has been
correlated with a chromosome’s gene density, with gene-rich
chromosomes positioned preferentially towards the center of
the nucleus, and gene-poor chromosomes located towards
the periphery.(19–21) In other studies in fibroblasts, radial gene
positioning has been correlated with chromosome size rather
than gene density.(22) The non-random arrangement of
chromosomes is also reflected in the positioning of chromo-
somes relative to each other (Fig. 2A). In mouse lymphocytes,
for example, single homologues of chromosomes 12, 14 and
15 frequently form a non-random cluster.(23) This cluster only
contains one of the two homologueswith the others apparently
randomly distributed throughout the nuclear volume. Interest-
ingly, tetraploid cells frequently contain two such clusters,
suggesting that distinct rules of positioning apply to chromo-
some homologues.(23)
The arrangement of chromosomes within the nucleus
appears to be tissue-specific.(20,24,25) A systematic study of
multiple chromosomes in several primary tissues has shown
that both the radial as well as the relative positioning of
Figure 2. Non-random positioning of genomes. A: Gene loci and chromosomes are non-randomly positioned radially relative to the
nuclear center and relative to each other.B:Tethering of gene loci (red, green) via boundary elements (purple) to the nuclear periphery or to
intranuclear compartments contributes to their regulation and reduces their dynamic mobility. C: Gene loci, regardless of their
transcriptional activity, exist in ‘open’ chromatin (yellow). When potentiated (green), loci may be displaced from their chromosome territory
and explore the nuclear space in search of functionally equivalent regions (grey). This regionmayeither be a silencing environment such as
heterochromatin or an active environment such as a transcription factory. Associationwith the particular enviromentmay results in changes
in the functional status of the gene (red).
Review articles
BioEssays 27.5 479
chromosomes relative to each other differs amongst tis-
sues.(24) Statistical comparison of distribution patterns further
suggests that cell types, which share differentiation pathways,
such as lymphocytes and myeloblasts, exhibit a more similar
three-dimensional organization of genomes than unrelated
cell types.(24) While these observations suggest a role for
differentiation in determining positioning patterns, the exact
mechanisms that give rise to non-random chromosome
positioning are unknown.
An underlying concept in understanding three-dimensional
genome organization is the probabilistic nature of positioning
patterns. The radial or relative position of a chromosome is
always a reflection of its preferred position, but does not
indicate that a given chromosome is found in one particular
place in all cells of a population. Thus, while it should be
possible to generate probability maps of how genomes are
spatially organized, it will not be possible to define the position
of a genome region in absolute terms.
Gene positioningSine chromosomes are non-randomly arranged in the
nucleus, it is not surprising that the gene loci that they harbor
are also found in non-random patterns. How the position of a
locus relative to the nuclear periphery or relative to nuclear
landmarks, such as chromatin domains or the chromosome
territory, affects its function is one of the key questions in
understanding the contribution of spatial positioning to
genome function.
Although strong preferential positioning relative to the
nuclear center has been observed for many analyzed genes,
this positioning is likely not critical for function, since a
particular gene, regardless of whether it is active or inactive,
can be found at virtually any position in the nucleuswithin a cell
population.(19,26–28) It seems more likely that the non-random
positioning observed for loci is largely the consequence of
the positioning of the chromosomes on which the gene is
found. On the other hand, changes in the functional status of
several genes have been reported to be paralleled by
repositioning. For example, in T-cell differentiation, the CD4
locus moves towards the periphery as it becomes inactivated
during selection for CD8þ cells.(27) However, repositioning is
clearly not a pre-requisite for changes in function since, in the
same cells, the CD8 locus does not alter its intermediate radial
position regardless of its functional status.(27)
More important than radial positioningmight be tethering of
gene loci to nuclear landmarks (Fig. 2B). In yeast, association
of gene loci with the nuclear periphery occurs in response to
both gene activation and gene inactivation depending on the
gene.(29) Furthermore, in yeast and Drosophila, boundary
elements that functionally insulate neighboring genome
regions appear to act by tethering the affected regions to a
nuclear structure such as the nuclear periphery or the
nucleolus(30,31) (Fig. 2B).
Possibly the functionally most important type of positioning
is the location of a gene relative to chromatin domains,
particularly transcriptionally repressed heterochromatin do-
mains. The classic example of positioning-induced silencing is
thephenomenonof positioneffect variegation (PEV). InPEV, a
locus becomes permanently silenced due to physical place-
ment into a heterochromatic genome neighborhood. In the
case of the well-studied brown locus inDrosophila insertion of
a heterochromatin block near the locus results in its physical
positioning near a heterochromatin region and its silencing
in transvia contactwith theexisting heterochromatin domain in
a sequence-independent manner.(32) Thus, positioning rela-
tive to heterochromatin domain can clearly have a regulatory
effect. This effect is most likely not limited to artificial experi-
mental systems, since numerous examples of correlations
between proximal positioning of a locus and its silencing have
been reported in differentiation systems.(33) Having said that,
association with a heterochromatin region does not necessa-
rily confer transcriptional silencing, since some loci, such as
the l-5 locus in B-cells, retain their activity despite positioning
within heterochromatin regions and a significant fraction of
genes are found in heterochromatin in Drosophila.(34)
It is not surprising to find that gene loci generally localize
within the chromosome territory on which they localize.
However, this is not always the case and both the dissocia-
tion from territories as well as the preferential positioning of
genome regions at the surface of territories has been sug-
gested to contribute to proper gene function(35,36) (Fig. 2C).
In human and mouse cells, several genome regions have
been characterized that are expelled from their chromosome
territory and loop several micrometers away from the main
body of the chromosome.(37–39) All of these domains contain
gene clusters and are highly transcribed. Looping likely
contributes to gene regulation as suggested by analysis of
the correlation between loop formation and gene activity
during differentiation processes. In erythroid cells, theb-globinlocus loops out from the chromosome territory before it is
transcriptionally active, but remains associated with the
chromosome when its regulatory elements are mutated.(35,40)
Similarly, in differentiating ES-cells, theHox1 andHox 9 genes
dissociate from their territories in parallel with their activity.(41)
While the former example suggests looping as a consequence
of potentiation of the gene, the latter points towards a correla-
tion with gene activity per se (Fig. 2C). Whether these exam-
ples represent different paradigms of positioning and how
common thedifferent behaviorsare remains to beestablished.
Genome regions may also be non-randomly positioned
relative to each other. The best example of spatial clustering of
genes is the ribosomal genes, which congregate non-
randomly in the nucleolus. A typical mammalian nucleolus
contains 50–100 active ribosomal genes located on 2–4
distinct chromosomes.(4) While it seems clear that the
clustering of ribosomal genes enhances the efficiency of
Review articles
480 BioEssays 27.5
rRNA transcription and processing, it is not known what the
mechanisms are that lead to the clustering of the chromo-
somes. Similar clustering has recently been observed for
tRNAgene inS. cerevisiae, wheremore than50genes located
on all 16 chromosomes cluster near the nucleolus.(42) Initial
evidence for spatial clustering of RNA pol II genes in
mammalian cells has recently also been reported.(40) Osborne
et al., have found that two genes located 25 Mb apart on
chromosome 7 pair in three-dimensional space to generally
share a common transcription domain. This observation
suggests that spatial gene clusters might be more prevalent
than previously expected.
The positioning of genome regions, be it chromosomes,
genome regions or single genes,might not only be functionally
relevant for gene expression, but especially for cellular
processes that involve the physical interaction of genome
regions such as formation of translocations or recombina-
tion.(43) In support of an important role of non-random
positioning is the fact that strong correlations have been
detected between the spatial proximity of chromosomes or
genes and their probability of undergoing translocations or
recombination. In human cells, the translocation partners for
several lymphomashavebeen found in closer spatial proximity
than would be expected based on their random distribu-
tion.(26–46) Similarly, in yeast, the preferred recombination
partners involved in preferential donor selection during
mating-type switching are on average in closer spatial
proximity than unrelated loci.(47) These observations suggest
that the non-random spatial positioning of genome regions in
the interphase nucleus may contribute to determining what
genome region interact with what other regions.(15)
Taken together, the role of positioning in gene function is still
unclear. A major impediment towards deducing general rules
for how positioning affects gene function has been the
limitation of most studies to the analysis of single genes
resulting in largely anecdotal reports of correlation between
positioning and function. More systematic analysis of multiple,
functionally related genes using high-throughput imaging
methods and pattern recognition tools will likely resolve this
issue in the future. In addition, the mining of whole genome
sequence information to understand how the primary genome
sequence affects higher order organization of chromatin and
its environment and to ask whether higher order structure can
be predicted from sequence information will be a necessary
and promising, albeit challenging, approach to understand
spatial genome organization and its link to function.
Positioning of nuclear bodiesNot only are genomes non-random arranged in vivo, but
increasing evidence also suggests that non-random position-
ing of nuclear bodies relative to specific genome regions is the
norm rather than the exception. The clearest example of non-
random positioning of a nuclear body to gene loci is the
nucleolus, where ribosomal genes are transcribed and the
resulting rRNAs processed.(4) The nucleolus invariably as-
sociates with the subset of chromosomes containing the
tandemly repeated rDNA clusters. The association is driven by
the transcriptional activity of the ribosomal genes since
introduction of rDNA genes on non-integrating plasmids leads
to the formation of mini-nucleoli and inhibition of the ribosomal
DNA-specific RNA polymerase I results in disassembly of
nucleoli.(4) Furthermore, the nucleolus disassembles during
mitosis when rDNA genes are silenced, but rapidly reforms
upon re-imitation of ribosomal gene activity in late telophase.
Analogous to the situation of the nucleolus, Cajal bodies
appear to associate with relatively high frequency with histone
and U2 snRNA gene clusters and introduction of U2 snRNA
minigenes promotes the association of Cajal Bodies.(48–50)
These observations on nucleoli and Cajal bodies strongly
suggest that the non-random association of these nuclear
compartments is a direct consequence of the transcriptional
status of the target genes.
Other nuclear bodies have been found in non-random
proximity with genome regions, but it is not clear whether this
association is driven by specific genes or by broader genome
regions. For example, the OPT-domain (Oct1/ PTB/transcrip-
tion) has been mapped to preferentially associate with a �30
Mb region on human chromosome 6p21.(51) A particularly
intriguing association is that of the heat-shockgranules. These
structures form in human cells upon heat shock. They
preferentially form at a satellite repeat region on chromosome
9 and, remarkably, concomitant with heat shock this normally
silent region becomes transcriptionally active and generates
an apparently non-coding RNA of unknown function.(52,53) In
this case, it is not clear whether formation of the heat-shock
granule drives transcription from this site or whether it
represents the consequence of transcriptional activation of
the satellite region.
Several nuclear structures associate non-randomly,
although more generally, with active genome regions. PML
bodies are preferentially found near active genes and splicing
factor compartments containing pre-mRNA splicing factors
often associate with gene-dense R-bands.(54,55) While the
association of PML bodies with active genes does not appear
to be functionally important since depletion of PML has no
affect on theassociation, it seemshighly likely that thephysical
proximity of splicing factor compartments facilitates the
processing of transcription generated from the gene-dense
R-bands. It thus appears that the non-random association of a
nuclear body with a genome region is generally the conse-
quence of the region’s activity.
The concept of nuclear dynamics
The cell nucleus has recently emerged as a highly dynamic
organelle and it is now clear that virtually all aspects of nuclear
function and organization are dynamic.(56) Photobleaching
Review articles
BioEssays 27.5 481
experiments have revealed that proteins roam the nuclear
space in an energy-independent manner in search for high-
affinity binding sites.(57) This ability of molecules to freely
diffuse through the nuclear space appears particularly
important for chromatin-binding proteins.(58–61) These factors
have been shown to undergo highly transient binding interac-
tions with chromatin both at their specific as well as their non-
specific binding sites. Estimated residence times for proteins
on chromatin, including structural proteins of euchromatin and
heterochromatin, are typically on the order of 2–30 s and the
time between binding events is on the order of 50–200 ms.(58)
The latter value indicates that, once dissociated fromabinding
site, a chromatin protein is rapidly capturedbyanon-specific or
a specific binding site in its vicinity. An implication of this
behavior is that at any given time a large fraction of any
chromatin protein is bound, most frequently to a non-specific
site, and that only a small fraction of the protein is unbound.(58)
The combined transient interaction and theability of proteins to
diffuse rapidly suggest that chromatin proteins scan the
genome for appropriate high-affinity binding sites by a three-
dimensional hopping mechanism.(58)
The molecular basis for the dynamic nature of protein–
chromatin interactions is unclear. Evidence from the analysis
of dynamic binding of steroid receptors in permeabilized cells
suggests that the rapid turnover of steroid receptors is
promoted by chaperone activities that either directly act on
the receptors to remove them or indirectly cause their
dissociation by acting on some of their interaction partners.(62)
In addition, evidence from in vitro reconstitution and ultra-fast
crosslinking experiments has also suggested that the resi-
dence time of chromatin proteins may be related to chromatin
remodeling, which might periodically destabilize the weak
binding of chromatin proteins.(63) In vivo observations using
inhibitors have pointed towards a direct or indirect role for
proteasome activity in the dynamic exchange of chromatin
proteins.(60,64) Given the large variety of chromatin-binding
proteins, it seems likely that the mechanisms of exchange will
greatly vary between different proteins. Regardless of the
detailed molecular mechanisms for the transient protein–
chromatin interactions, the functional significance of transient
binding is likely the ability of these proteins to undergomultiple,
rapidly changing interactions with partners on chromatin to
generate combinatorial protein complexes on chromatin.(56,58)
This property likely allows cells to alter their transcriptional
output rapidly in response to stimuli and thus provides a
molecular basis for the high transcriptional plasticity inherent
to most cellular systems.
Photobleaching experiments have also uncovered that
proteinaceous nuclear bodies including the nucleolus are
generated from rapidly exchanging molecular compo-
nents.(57,65,66) Similar to the situation for chromatin proteins,
it seems now most likely that ‘resident’ nuclear body proteins,
diffuse relatively freely throughout the nucleoplasm until they
interact with their ‘home’ compartment where they are
captured by higher-affinity interactions than they encounter
in the rest of the nucleus.(56) This interpretation is consistent
with the discovery that many resident proteins of nuclear
bodies frequently visit other nuclear structures.(67) Thus, the
overall stable nuclear suborganelles are generated from
dynamic components.
Not only proteins and protein complexes exhibit dynamic
motion in vivo, but nuclear bodies themselves are dynamic.
Although the nucleolus is positionally very stable and does not
change its location over short periods of time, most other
nuclear bodies do. Cajal bodies undergo saltatory motion and
PML bodies have been reported to be able to move in linear
trajectories through the nucleus.(68,72) Both of these move-
ments are sensitive to ATP levels, but it is difficult to ascertain
that this effect reflects an energy dependence of the motion
itself or is an indirect effect caused by the perturbation of large-
scale chromatin structure due to ATP depletion.(69,71,72) What
the functional significance of nuclear bodymovementmight be
is unclear, but it has been suggested that, similar to the
situation for chromatin-binding proteins, the movement of
nuclear bodiesallows them to scan thegenome for preferential
interaction sites.(69) This idea is consistent with the observed
non-random association of nuclear bodies with particular
genome regions.
Gene loci themselves can undergo dynamicmotion aswell.
In vivo tracking of fluorescently tagged loci demonstrates that
they undergo significant constraint diffusionalmotion.(73–75) In
mammalian cells, a locus may explore its immediate environ-
ment by local motion within a subvolume of typically about
1–2 mm in diameter.(75) Remarkably, the absolute range of
motion of a given locus is similar in mammalian cells and
yeast.(74) A locus can deviate from its average position by
about 1 mm over the period of several minutes. However, in
absolute terms, this motion has very distinct significance in
mammals and in yeast, since in mammals this motion
corresponds to sampling of a volume roughly equivalent to a
single chromosome, whereas in yeast this represents an
exploration of the entire cell nucleus. The motion of a locus
may be reduced by tethering to the nuclear periphery or
intranuclear structures such as nucleoli.(75) This is particularly
evident by the immobilization at the nuclear envelope of
telomeres in yeast.(74) The measured diffusion coefficients of
themotion of a locus are orders of magnitude lower than those
of proteins and thus a locus largely appears immobile relative
to diffusing proteins. Whether the diffusional mobility of
genome loci has any functional significance is unclear.
The concept of nuclear scaffolds
The complex spatial organization of the nucleus has given rise
to the tempting concept of a structural framework in the form of
a karyoskeleton or matrix that might contribute to spatially
organize the multitude of nuclear compartments.(76,77) The
Review articles
482 BioEssays 27.5
molecular identify of sucha structural scaffold remains elusive.
Several interesting candidates have been identified. In
Drosophila, the non-chromosomal EAST protein has been
suggested to be part, or at least control, a putative nuclear
endoskeleton, since overexpression of the protein causes
expansion of the extrachromosomal space and the nuclear
volume.(78) In human thymocytes, the SATB1 protein appears
to formacage-likenetworkof proteinaceous filaments towhich
genes can be attached.(79) The association of several
thymocyte-specific genes appears to correlate with their
activity suggesting that association with this scaffold has a
regulatory function.
Anobvious candidate for a scaffold component are thewell-
characterized intermediate-filament-type lamin proteins,
which have long been known to form a structural meshwork
underlying the nuclear envelope refereed to as the nuclear
lamina.(80) Recent observations strongly suggest that lamins
A,BandCarealsopresent in the interior of thenucleusandare
functionally critical for transcription and replication.(80) It is
unclear what their contribution to the organization of nuclear
structures is at present, but at least lamins A and C are not
essential for the formationof splicing factor compartments and
other nuclear bodies.(81,82) A further prominent candidate for a
structural component of a karyoskeleton is actin. It is now
established that monomeric actin is present in the nucleus and
appears to be functionally relevant in transcription complex
formation; whether actin filaments exist in the nucleus is not
known.(83)
The concept of nuclear self-organization
The difficulties in unambiguously defining a static nuclear
skeleton and the observed highly dynamic nature of nuclear
architecture has lead to the consideration of suggestions that
the nucleus may be a self-organizing entity.(84,85) In this
model, the complex morphological appearance is a reflection
of the transcriptional activity of the genome and the sum
of all molecular interactions amongst nuclear components.
Although this provocative model is speculative at present,
virtually all observations on nuclear organization and
dynamics are consistent with it. Central to self-organizing
systems is the high dynamic content and a relative promiscuity
of interactions amongst components. The recent observations
of the dynamics of numerous nuclear proteins in living cells
clearly supports both of these premises. As discussed above,
proteins can rapidly roam the nuclear space, the resident
components of subcompartments are dynamically exchanged
and many chromatin proteins undergo extensive non-specific
transient interactions with chromatin and with nuclear
bodies.(56) Consistent with a self-organization model, the
major proteins that confer the structural identity of hetero-
chromatin exchange and stochastically find their specific
binding site.(86,87) Highly dynamic interactions have also been
characterized for the structural linker histone H1 and the HMG
proteins, which compete with each other for binding sites in a
dynamic interaction network.(88) These dynamic, largely
random interactions amongst proteins are consistent with
the recent realization that gene expression events are highly
stochastic.(89,90)
The principle of self-organization is also consistent with the
observed probabilistic nature of chromosome positioning and
can also account for the non-random positioning of genes
relative to nuclear landmarks. In this view, positioning may be
the result of themutual interplay between the functional status
of a locus and the nuclear domain with which it interacts
(Fig. 2C). A plausible scenario is that a gene locus becomes
potentiated by specific local events such as binding of par-
ticular regulators or histone modifications. The potentiated
locus may then be incorporated into a more ‘open‘ chromatin
loop, which, in the extreme case, may become expelled from
the chromosome territory. The more flexible loop is now free
toassociatewith functionally distinct subregionsof thenucleus
and may become preferentially associated with domains that
are of functional equivalence. The interaction of the locus with
these domains then in turn may stabilize its functional status,
resulting in a non-random preferential positioning.(43)
The auto-reinforcing behavior of self-organizing systems
may contribute greatly to the overall stability of nuclear
structure and the functional status of the genome but, at the
same time, the transient nature of virtually all protein–protein
and protein–chromatin interactionsmayalso poise the system
for rapid change in response to external stimuli. Thus, the
dynamic, self-organized, nature of nuclear organization is a
fundamental, functionally essential property of the cell.
Self-organization models are notoriously difficult to experi-
mentally test or falsify. While it is hard to imagine a single key
experiment to prove that the nucleus is a self-organizing
system, combining information from experimental and com-
putational approaches will likely allow critical probing of this
proposal. Biochemical experiments will tell us whether a
nucleus is able to self-organize into a functional entity from its
components as would be predicted. Simple nuclear re-
assembly systems capable of transport across themembrane
and transcription of defined DNA have been used for years.(91)
Furthermore, it has been demonstrated that nucleoli and PML
bodies dispersed by incubation in a low monovalent cation
environment can reassemble and resume their cellular
functionality by simple addition of inert macromolecules,
suggesting that both the structural and functional integrity of
nuclear compartments depends strongly on molecular crowd-
ing events as would be expected for a self-organizing
system.(92) In addition to direct experimental interrogation,
the concept of self-organization will also be tested by the
converging efforts of system biology approaches and compu-
tationalmodelingmethods,whicharenow increasinglyapplied
to the study of the nucleus.While whole genome information is
readily available, proteomicmethods are nowwidely applied to
Review articles
BioEssays 27.5 483
studies of the nucleus and have already revealed valuable
insight into the complex and dynamic protein composition of
the nucleolus, splicing factor compartments and the nuclear
envelope.(93–95) These lists of nuclear components now
provide the basis to build extensive computer models to
address key questions such as how the proteinaceous
compartments of the nucleus or the non-random spatial
organization of genomes are established and maintained and
it will be important to ask whether nuclear organization can be
reproduced in silico assuming the constraints of self-organiz-
ing systems. Regardless of whether these bioinformatic and
computational approaches will unambiguously identify the
nucleus, and potentially the cell, as a self-organizing system,
their application will contribute greatly to uncover the basic
principles that govern cellular organization and function.
The concept of nuclear diseases
Regardless of whether maintenance of nuclear architecture is
the result of rigid structural scaffolds or occurs largely by self-
reinforcing mechanisms, a key development in the recent
study of nuclear architecture has been the realization that
nuclear architecture contributes to human disease and that, in
some cases, defects in nuclear architecture directly cause
disease.
Numerous disease-related proteins localize to the nucleus
and their distribution is often altered in the disease state.(96)
Most prominently, in promyelocytic leukemia, the PML protein,
which normally localizes in 10–20 prominent nuclear PML
bodies, becomes dispersed through the nucleus. PML is also
mislocalized and mis-expressed in several solid tumors,
suggesting a more general role in tumors.(97) Despite the
clear correlation between PML localization and disease, the
role of PML in tumor formation is unclear. Another type of
nuclear disease are the poly(A)- and poly(Q)-repeat diseases
including X-linked mental retardation and Huntington’s dis-
eases.(98) These diseases are characterized by the presence
of proteins with expanded polyalanine or polyglutamine tracts.
These proteins frequently accumulate in the cell nucleus
where they form insoluble inclusion bodies. Whether these
nuclear bodies are cause or consequence of the aberrant
function of these proteins is not known. Apart from providing a
starting point for the elucidation of disease mechanisms,
morphological alterations of the nucleus, and mislocalization
or differential abundance of nuclear proteins is now being
increasingly pursued for diagnostic purposes.
The most-striking class of nuclear diseases, however, are
the laminopathies.(99) This diverse class of diseases is caused
by mutations in the structural lamin A and C proteins encoded
by the LMNA gene and several lamin-associated proteins
including emerin and LAP2 (lamin-associated protein 2).
Mutations in these genes give rise to muscular dystro-
phies, lipodystrophies, neuropathies and, most intriguingly,
the premature-aging disease Hutchinson-Gilford Progeria
Syndrome.(99) The two puzzling questions regarding lamino-
pathies are: how does a mutation in a structural component of
the nucleus give rise to disease and how does a defect in a
ubiquitous protein lead to highly tissue-specific diseases?One
common feature of laminopathies is that the most-affected
tissues are generally exposed to mechanical stress, i.e.
muscle, adipose tissues and skin, and this observation has
lead to the proposal that laminopathies cause disease by
weakening the mechanical stability of nuclei, thus leading to
cellular defects and possibly cell death or alterations in gene
expression patterns (Fig. 3). In support, nuclei from LMNA�/�
mice indeed are more susceptible to mechanical stress.(100)
An alternative, but not mutually exclusive, possibility is that
disease-related defects in the lamina directly cause mis-
regulation of genes (Fig. 3). This could occur by defects in
tethering of genes and their subsequent mis-expression or via
a function of lamins in transcription and replication.(80,99)
Figure 3. Pathways to disease in human laminopathies.
Mutations in lamin A may lead to disease by causing
mechanical defects in the nuclear lamina, which result in cell
deathor alterations in geneexpression.Alternatively,mutations
in lamin A may also directly lead to aberrant gene expression,
possibly due to defects in the ability of genes to be properly
tethered to the lamina network or to defects in transcription,
replication and DNA repair.
Review articles
484 BioEssays 27.5
Detailed studies on mis-regulated gene in laminopathies will
hopefully distinguish between these possibilities.
Towards an integrated view of genome function
As we learn more about the molecular mechanism of gene
expression, the spatial organization of the genome and the
structure of the cell nucleus, we realize the tremendous
complexity of the cell nucleus. However, several dominant
concepts that govern much of nuclear structure and function
have emerged and these will serve as starting points and
guideposts as we further explore how genomes function in
vivo. The confluence of molecular studies, genome sequence
information and cell biological insights is leading us rapidly
towards an integrated view of genome function in vivo. This
development and the ever-growing theoretical framework
provided by the emerging concepts in nuclear architecture
form the basis to expand the studies of nuclear architecture
from the analysis of tissue cultured systems to physiologically
more relevant paradigms, including differentiation and dis-
ease models. There is now little doubt that understanding
nuclear architecturewill be the cornerstone for the discoveryof
how genomes really work in living organisms.
Acknowledgments
I thank members of my laboratory for their typically critical
commentson thismanuscript and for continuously questioning
established concepts. TM is a Fellow of the Keith R. Porter
Endowment for Cell Biology.
References1. Dundr M, Misteli T. 2001. Functional architecture in the cell nucleus.
Biochem J 356:297–310.
2. Matera AG. 1999. Nuclear bodies: multifaceted subdomains of the
interchromatin space. Trends Cell Biol 9:302–309.
3. Shpargel KB, Ospina JK, Tucker KE, Matera AG, Hebert MD. 2003.
Control of Cajal body number is mediated by the coilin C-terminus. J Cell
Sci 116:303–312.
4. Olson MOJ, Dundr M, Szebeni A. 2000. The nucleolus: An old factory
with unexpected capabilities. Trends Cell Biol 10:189–196.
5. Stanek D, Neugebauer KM. 2004. Detection of snRNP assembly
intermediates in Cajal bodies by fluorescence resonance energy
transfer. J Cell Biol 166:1015–1025.
6. Gall JG. 2000. CAJAL BODIES: The First 100 Years. Annu Rev Cell Dev
Biol 16:273–300.
7. Verheggen C, Lafontaine DL, Samarsky D, Mouaikel J, Blanchard JM,
et al. 2002. Mammalian and yeast U3 snoRNPs are matured in specific
and related nuclear compartments. Embo J 21:2736–2745.
8. Misteli T. 2000. Cell Biology of transcription and pre-mRNA splicing:
nuclear architecture meets nuclear function. J Cell Sci 113:1841–1849.
9. Huang S, Spector DL. 1996. Intron-dependent recruitment of pre-mRNA
splicing factors to sites of transcription. J Cell Biol 131:719–732.
10. Misteli T, Caceres JF, Spector DL. 1997. The dynamics of a pre-mRNA
splicing factor in living cells. Nature 387:523–527.
11. Hebert MD, Matera AG. 2000. Self-association of p80 coilin reveals a
common theme in nuclaer body formation. Mol Biol Cell 11:4159–4171.
12. Gilbert N, Boyle S, Fiegler H, Woodfine K, Carter NP, et al. 2004.
Chromatin architecture of the human genome: gene-rich domains are
enriched in open chromatin fibers. Cell 118:555–566.
13. Arney KL, Fisher AG. 2004. Epigenetic aspects of differentiation. J Cell
Sci 117:4355–4363.
14. Cremer T, Cremer C. 2001. Chromosome territories, nuclear architec-
ture and gene regulation in mammalian cells. Nat Rev Genet 2:292–
301.
15. Parada L, Misteli T. 2002. Chromosome positioning in the interphase
nucleus. Trends Cell Biol 12:425.
16. Cremer T, Cremer C, Schneider T, Baumann H, Hens L, et al. 1982.
Analysis of chromosome positions in the interphase nucleus of Chinese
hamster cells by laser-UV-microirradiation experiments. Hum Genet 62:
201–209.
17. Manuelidis L. 1985. Individual interphase chromosome domains
revealed by in-situ hybridization. Hum Genet 71:288–293.
18. van Driel R, Fransz PF, Verschure PJ. 2003. The eukaryotic genome:
a system regulated at different hierarchical levels. J Cell Sci 116:4067–
4075.
19. Kozubek S, Lukasova E, Jirsova P, Koutna I, Kozubek M, et al. 2002. 3D
Structure of the human genome: order in randomness. Chromosoma
111:321–331.
20. Boyle S, Gilchrist S, Bridger JM, Mahy NL, Ellis JA, et al. 2001. The
spatial organization of human chromosomes within the nuclei of normal
and emerin-mutant cells. Hum Mol Genet 10:211–219.
21. Tanabe H, Muller S, Neusser M, von Hase J, Calcagno E, et al. 2002.
Evolutionary conservation of chromosome territory arrangements in
cell nuclei from higher primates. Proc Natl Acad Sci USA 99:4424–
4429.
22. Sun HB, Shen J, Yokota H. 2000. Size-dependent positioning of human
chromosomes in interphase nuclei. Biophys J 79:184–190.
23. Parada L, McQueen P, Munson P, Misteli T. 2002. Conservation of
relative chromosome positioning in normal and cancer cells. Curr Biol
12:1692.
24. Parada L, McQueen P, Misteli T. 2004. Tissue-specific spatial organiza-
tion of genomes. Genome Biology 7:R44.
25. Cremer M, Kupper K, Wagler B, Wizelman L, Hase Jv J, et al. 2003.
Inheritance of gene density-related higher order chromatin arrange-
ments in normal and tumor cell nuclei. J Cell Biol 162:809–820.
26. Roix JJ, McQueen PG, Munson PJ, Parada LA, Misteli T. 2003. Spatial
proximity of translocation-prone gene loci in human lymphomas. Nat
Genet 34:287–291.
27. Kim SH, McQueen PG, Lichtman MK, Shevach EM, Parada LA, et al.
2004. Spatial genome organization during T-cell differentiation. Cytogen
Genome Res 105:292–301.
28. Bartova E, Kozubek S, Kozubek M, Jirsova P, Lukasova E, et al. 2000.
The influence of the cell cycle, differentiation and irradiation on the
nuclear location of the abl, bcr and c-myc genes in human leukemic
cells. Leuk Res 24:233–241.
29. Casolari JM, Brown CR, Komili S, West J, Hieronymus H, et al. 2004.
Genome-wide localization of the nuclear transport machinery couples
transcriptional status and nuclear organization. Cell 117:427–429.
30. Gerasimova TI, Byrd K, Corces VG. 2000. A chromatin insulator
determines the nuclear localization of DNA. Mol Cell 6:1025–1035.
31. Yusufzai TM, Tagami H, Nakatani Y, Felsenfeld G. 2004. CTCF tethers
an insulator to subnuclear sites, suggesting shared insulator mechan-
isms across species. Mol Cell 13:291–298.
32. Sage BT, Csink AK. 2003. Heterochromatic self-association, a determi-
nant of nuclear organization, does not require sequence homology in
Drosophila. Genetics 165:1183–1193.
33. Kosak ST, Groudine M. 2004. Form follows function: The genomic
organization of cellular differentiation. Genes Dev 18:1371–1384.
34. Lundgren M, Chow CM, Sabbattini P, Georgiou A, Minaee S, et al. 2000.
Transcription factor dosage affects changes in higher order chromatin
structure associated with activation of a heterochromatic gene. Cell
103:733–743.
35. Ragoczy T, Telling A, Sawado T, Groudine M, Kosak ST. 2003. A
genetic analysis of chromosome territory looping: diverse roles for distal
regulatory elements. Chromosome Res 11:513–525.
36. Chambeyron S, Bickmore WA. 2004. Does looping and clustering in the
nucleus regulate gene expression? Curr Opin Cell Biol 16:256–262.
37. Volpi EV, Chevret E, Jones T, Vatcheva R, Williamson J, et al. 2000.
Large-scale chromatin organization of the major histocompatibility
complex and other regions of human chromosome 6 and its response
to interferon in interphase nuclei. J Cell Sci 113:1565–1576.
Review articles
BioEssays 27.5 485
38. Williams RR, Broad S, Sheer D, Ragoussis J. 2002. Subchromosomal
positioning of the epidermal differentiation complex (EDC) in keratino-
cyte and lymphoblast interphase nuclei. Exp Cell Res 272:163–175.
39. Mahy NL, Perry PE, Bickmore WA. 2002. Gene density and transcription
influence the localization of chromatin outside of chromosome territories
detectable by FISH. J Cell Biol 159:753–763.
40. Osborne CS, Chakalova L, Brown KE, Carter D, Horton A, et al. 2004.
Active genes dynamcially colocalize to shared sites of ongoing trans-
cription. Nature Genetics 36:1065–1071.
41. Chambeyron S, Bickmore WA. 2004. Chromatin decondensation and
nuclear reorganization of the HoxB locus upon induction of transcrip-
tion. Genes Dev 18:1119–1130.
42. Thompson M, Haeusler RA, Good PD, Engelke DR. 2003. Nucleolar
clustering of dispersed tRNA genes. Science 302:1399–1401.
43. Misteli T. 2004. Spatial positioning: A new dimension in genome
function. Cell 119:153–156.
44. Lukasova E, Kozubek S, Kozubek M, Kroha V, Mareckova A, et al. 1999.
Chromosomes participating in translocations typical of malignant
hemoblastoses are also involved in exchange aberrations induced by
fast neutrons. Radiat Res 151:375–384.
45. Nikiforova MN, Stringer JR, Blough R, Medvedovic M, Fagin JA, et al.
2000. Proximity of chromosomal loci that participate in radiation-
induced rearrangements in human cells. Science 290:138–141.
46. Neves H, Ramos C, da Silva MG, Parreira A, Parreira L. 1999. The
nuclear topography of ABL, BCR, PML, and RARalpha genes: evidence
for gene proximity in specific phases of the cell cycle and stages of
hematopoietic differentiation. Blood 93:1197–1207.
47. Bressan DA, Vazquez J, Haber JE. 2004. Mating type-dependent
constraints on the mobility of the left arm of yeast chromosome III. J Cell
Biol 164:361–371.
48. Schul W, van Driel R, de Jong L. 1998. Coiled Bodies and U2 snRNA
Genes Adjacent to Coiled Bodies Are Enriched in Factors Required for
snRNA Transcription. Mol Biol Cell 9:1025–1036.
49. Shopland LS, Byron M, Stein JL, Lian JB, Stein GS, et al. 2001.
Replication-dependent histone gene expression is related to Cajal body
(CB) association but does not require sustained CB contact. Mol Biol
Cell 12:565–576.
50. Frey MR, Matera AG. 2001. RNA-mediated interaction of Cajal bodies
and U2 snRNA genes. J Cell Biol 154:499–509.
51. Pombo A, Cuello P, Schul W, Yoon J-B, Roeder RG, et al. 1998. Regional
and temporal specialization in the nucleus: a transcriptionally-active
nuclear domain rich in PTE, Oct1 and PIKA antigens associates with
specific chromosomes early in the cell cycle. EMBO J 17:1768–1778.
52. Jolly C, Metz A, Govin J, Vigneron M, Turner BM, et al. 2004. Stress-
induced transcription of satellite III repeats. J Cell Biol 164:25–33.
53. Rizzi N, Denegri M, Chiodi I, Corioni M, Valgardsdottir R, et al. 2004.
Transcriptional activation of a constitutive heterochromatic domain of
the human genome in response to heat shock. Mol Biol Cell 15:543–
551.
54. Wang J, Shiels C, Sasieni P, Wu PJ, Islam SA, et al. 2004. Promyelocytic
leukemia nuclear bodies associate with transcriptionally active genomic
regions. J Cell Biol 164:515–526.
55. Shopland LS, Johnson CV, Byron M, McNeil J, Lawrence JB. 2003.
Clustering of multiple specific genes and gene-rich R-bands around
SC-35 domains: evidence for local euchromatic neighborhoods. J Cell
Biol 162:981–990.
56. Misteli T. 2001. Protein dynamics: Implications for nuclear architecture
and gene expression. Science 291:843–847.
57. Phair RD, Misteli T. 2000. High mobility of proteins in the mammalian cell
nucleus. Nature 404:604–609.
58. Phair RD, Scaffidi P, Elbi C, Vecerova J, Dey A, et al. 2004. Global
nature of dynamic protein-chromatin interactions in vivo: three-dimen-
sional genome scanning and dynamic interaction networks of chromatin
proteins. Mol Cell Biol 24:6393–6402.
59. McNally JG, Muller WG, Walker D, Wolford R, Hager GL. 2000. The
glucocorticoid receptor: Rapid exchange with regulatory sites in living
cells. Science 287:1262–1265.
60. Stenoien DL, Patel K, Mancini MG, Dutertre M, Smith CL, et al. 2001.
FRAP reveals that mobility of oestrogen receptor-a is ligand and
proteasome-dependent. Nature Cell Biol 3:15–23.
61. Houtsmuller AB, Rademakers S, Nigg AL, Hoogstraten D, Hoeijmakers
JH, et al. 1999. Action of DNA repair endonuclease ERCC1/XPF in living
cells. Science 284:958–961.
62. Elbi C, Walker DA, Romero G, Sullivan WP, Toft DO, et al. 2004.
Molecular chaperones function as steroid receptor nuclear mobility
factors. Proc Natl Acad Sci USA 101:2876–2881.
63. Nagaich AK, Walker DA, Wolford R, Hager GL. 2004. Rapid periodic
binding and displacement of the glucocorticoid receptor during
chromatin remodeling. Mol Cell 14:163–174.
64. Stavreva DA, Muller WG, Hager GL, Smith CL, McNally JG. 2004. Rapid
glucocorticoid receptor exchange at a promoter is coupled to trans-
cription and regulated by chaperones and proteasomes. Mol Cell Biol
24:2682–2697.
65. Kruhlak MJ, Lever MA, Fischle W, Verdin E, Bazett-Jones DP, et al.
2000. Reduced mobility of the alternate splicing factor (ASF) through
the nucleoplasm and steady state speckle compartments. J Cell Biol
150:41–51.
66. Chen D, Huang S. 2001. Nucleolar components involved in ribosome
biogenesis cycle between the nucleolus and nucleoplasm in interphase
cells. J Cell Biol 153:169–176.
67. Fox AH, Lam YW, Leung AK, Lyon CE, Andersen J, et al. 2002.
Paraspeckles: a novel nuclear domain. Curr Biol 12:13–25.
68. Sleeman J, Lyon CE, Platani M, Kreivi JP, Lamond AI. 1998. Dynamic
interactions between splicing snRNPs, coiled bodies and nucleoli
revealed using snRNP protein fusions to the green fluorescent protein.
Exp Cell Res 243:290–304.
69. Platani M, Goldberg I, Lamond AI, Swedlow JR. 2002. Cajal body
dynamics and association with chromatin are ATP-dependent. Nat Cell
Biol 4:502–508.
70. Boudonck K, Dolan L, Shaw PJ. 1999. The movement of coiled bodies
visualized in living plant cells by the green fluorescent protein. Mol Biol
Cell 10:2297–2307.
71. Muratani M, Gerlich D, Janicki SM, Gebhard M, Eils R, et al. 2002.
Metabolic-energy-dependent movement of PML bodies within the
mammalian cell nucleus. Nat Cell Biol 4:106–110.
72. Wiesmeijer K, Molenaar C, Bekeer IM, Tanke HJ, Dirks RW. 2002.
Mobile foci of Sp100 do not contain PML: PML bodies are immobile but
PML and Sp100 proteins are not. J Struct Biol 140:180–188.
73. Vazquez J, Belmont AS, Sedat JW. 2001. Multiple regimes of
constrained chromosome motion are regulated in the interphase
Drosophila nucleus. Curr Biol 11:1227–1239.
74. Heun P, Laroche T, Shimada K, Furrer P, Gasser SM. 2001. Chromosome
dynamics in the yeast interphase nucleus. Science 294: 2181–2186.
75. Chubb JR, Boyle S, Perry P, Bickmore WA. 2002. Chromatin motion is
constrained by association with nuclear compartments in human cells.
Curr Biol 12:439–445.
76. Nickerson J. 2001. Experimental observations of a nuclear matrix. J Cell
Sci 114:463–474.
77. Pederson T. 2000. Half a century of ‘nuclaer matrix’. Mol Biol Cell 11:
799–805.
78. Wasser M, Chia W. 2000. The EAST protein of drosophila controls an
expandable nuclear endoskeleton. Nat Cell Biol 2:268–275.
79. Cai S, Han HJ, Kohwi-Shigematsu T. 2003. Tissue-specific nuclear
architecture and gene expression regulated by SATB1. Nat Genet 34:
42–51.
80. Goldman RD, Gruenbaum Y, Moir RD, Shumaker DK, Spann TP. 2002.
Nuclear lamins: building blocks of nuclear architecture. Genes Dev 16:
533–547.
81. Kumaran RI, Muralikrishna B, Parnaik VK. 2002. Lamin A/C speckles
mediate spatial organization of splicing factor compartments and RNA
polymerase II transcription. J Cell Biol 159:783–793.
82. Vecerova J, Koberna K, Malinsky J, Soutoglou E, Sullivan T, et al. 2004.
Formation of Nuclear Splicing Factor Compartments Is Independent of
Lamins A/C. Mol Biol Cell 15:4904–4910.
83. Bettinger BT, Gilbert DM, Amberg DC. 2004. Actin up in the nucleus.
Nat Rev Mol Cell Biol 5:410–415.
84. Cook PR. 2002. Predicting three-dimensional genome structure from
transcriptional activity. Nat Genet 32:347–352.
85. Misteli T. 2001. The concept of self-organization in cellular architecture.
J Cell Biol 155:181–185.
Review articles
486 BioEssays 27.5
86. Cheutin T, McNairn AJ, Jenuwein T, Gilbert DM, Singh PB, et al. 2003.
Maintenance of stable heterochromatin domains by dynamic HP1
binding. Science 299:721–725.
87. Festenstein R, Pagakis SN, Hiragami K, Lyon D, Verreault A, et al. 2003.
Modulation of heterochromatin protein 1 dynamics in primary Mamma-
lian cells. Science 299:719–721.
88. Catez F, Yang H, Tracey KJ, Reeves R, Misteli T, et al. 2004. A network
of dynamic interactions between histone H1 and HMG proteins in
chromatin. Mol Cell Biol 24:4321–4328.
89. Elowitz MB, Levine AJ, Siggia ED, Swain PS. 2002. Stochastic gene
expression in a single cell. Science 297:1183–1186.
90. Levsky JM, Singer RH. 2003. Gene expression and the myth of the
average cell. Trends Cell Biol 13:4–6.
91. Ullman KS, Forbes DJ. 1995. RNA polymerase III transcription in
synthetic nuclei assembled in vitro from defined DNA templates. Mol
Cell Biol 15:4873–4883.
92. Hancock R. 2004. A role for macromolecular crowding effects in the
assembly and function of compartments in the nucleus. J Struct Biol
146:281–290.
93. Saitoh N, Spahr CS, Patterson SD, Bubulya P, Neuwald AF, et al. 2004.
Proteomic analysis of interchromatin granule clusters. Mol Biol Cell 15:
3876–3890.
94. Schirmer EC, Florens L, Guan T, Yates JR, 3rd, Gerace L. 2003. Nuclear
membrane proteins with potential disease links found by subtractive
proteomics. Science 301:1380–1382.
95. Andersen JS, Lam YW, Leung AK, Ong SE, Lyon CE, et al. 2005.
Nucleolar proteome dynamics. Nature 433:77–83.
96. Zink D, Fische AH, Nickerson JA. 2004 . Nuclear structure in cancer
cells. Nat Rev Cancer 4:677–687.
97. Salomoni P, Pandolfi PP. 2002. The role of PML in tumor suppression.
Cell 108:165–170.
98. Brown LY, Brown SA. 2004. Alanine tracts: the expanding story of
human illness and trinucleotide repeats. Trends Genet 20:51–58.
99. Burke B, Stewart CL. 2002 . Life at the edge: the nuclear envelope and
human disease. Nat Rev Mol Cell Biol 3:575–585.
100. Lammerding J, Schulze PC, Takahashi T, Kozlov S, Sullivan T, et al.
2004. Lamin A/C deficiency causes defective nuclear mechanics and
mechanotransduction. J Clin Invest 113:370–378.
Review articles
BioEssays 27.5 487