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Genes. Eukaryotic Protein-Coding Gene Structure. coding. non-coding. Regulatory Region. Size: 50 > 10,000 bp Contains multiple small DNA sequence elements (5 – 20 bp) > bind regulatory proteins Regulatory elements can be negative or positive acting - PowerPoint PPT Presentation
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Genes
Eukaryotic Protein-Coding Gene Structure
coding non-coding
Regulatory Region
Size: 50 > 10,000 bp
Contains multiple small DNA sequence elements (5 – 20 bp) > bind regulatory proteins
Regulatory elements can be negative or positive acting
Regulatory regions found in 5’ flanking region, introns, and 3’ flanking regions – most common in 5’ flanking regions and large introns
5’-Untranslated Region
Contained in mRNA Spans from start of transcription to start of translation Multiple functions – translational efficiency Size varies greatly - average > 300 nt (human)
coding
non-coding
Coding Sequence
Begins with initiator methionine (AUG codon) Sometimes multiple initiator methionines are used Stops with termination codon (UAA, UAG, and UGA) Sizes varies: average = 1340 nt (human); encodes
~450 aa protein
coding
non-coding
3’ Untranslated Region
Spans translational termination codon > end of mRNA Multiple functions: mRNA stability and localization AAUAAA sequence signals where poly(A) is to be added (10-35 nt upstream from cleavage/poly(A) site) Size varies: average - 700 nt (human)
coding
non-coding
Poly(A)
Added posttranscriptionally (not encoded in gene) Size varies (10-200 nt) depending on organism Functions: mRNA stability and translational efficiency Size of tract shortens with time All mammalian mRNAs have poly(A) except histone
mRNAs
Poly(A)
Exons
Genes have a modular designEvolutionarily assembled in piecesFunctional unit > exons
# exons can vary from 1 > 178 Average # exons/gene – different organisms
Yeast ~1Drosophila 4Human 9
Human genes (mean sizes)Exon size 145 bp
coding non-coding
Introns
Introns vary greatly in sizeMost ~ 50 bp but can be > 15 kbLarge genes – large intronsSmall genes – small introns
Size differs between speciesC. elegans 267 bpDrosophila 487 bpHuman 3,365 bpHuman introns > exons in size
Intron 2Intron 1
Genetics
Mutants Wild-type – “normal” fully-active gene Null – absence of any activity (e.g. deletion) Hypomorph – reduced function Hypermorph – enhanced activity Neomorph – expressed in cells normally not expressed
(transgenic approach)
Phenotypic analysis – development, morphology, behavior, fertility, etc. Gene regulation
Examine how mutation in Gene A influences expression of other genes
Genetic and Molecular Genic Relationships
Organism Genes Lethal loci (%total genes) Yeast 5,800 1,800 (30%) Nematode 18,400 3,500 (20%) Drosophila 13,600 3,600 (25%) Mouse – similar % based on gene knockout studies
Lethal loci – loss of function mutant that results in death
Result: Only ~20-30% genes can be mutated to lethality
Genetic and Molecular Genic Relationships
Why are there genes with no apparent function?Gene may not be doing anythingOther genes may compensate for defect
(redundancy)Double mutant analysis often provides evidence
for this explanationCommon for highly-related genes to be (at least
partially) redundantDefect may be too subtle to detect
Proper assay not usedNeed proper ecological setting and evolutionarily-
relevant time span to detectMay be conditional
CNS Midline Cell Development and Transcription Requires Single-minded Function
Cell division
Wild-type
Cell morphology
Gene expression
sim
Ubiquitously-Expressed Sim Transforms Entire CNS into CNS Midline Cells
Heat shock-sim Rhomboid-lacZ
Uninduced
Induced
-LacZ
Gene Regulation
Regulatory proteins > DNA cis-control elements Positive and negative regulation Combinatorial regulation > highly specific patterns of
spatial, temporal and quantitative expression
Murine transthyretin gene
0.95 kb Toll-lacZ
-LacZ
Sim:Tgo Binding Sites (CNS Midline Elements - CMEs) are Required for Midline Transcription
2 431
X XXX
CME > ACGTG
Array Analysis of Gene Expression: Drosophila
Understand complete array of gene regulatory events that underlie:DevelopmentTissue and cell identityAgingBehavior
Circadian rhythmsLearning and memory
Example: Single-minded (Sim): Master Regulator of CNS Midline Cell Development and Transcription
Sim protein (green) > CNS midline cellsVnd protein (red) > lateral CNS
Array Analysis of Gene Expression
Midline gene expression program > identify all genes expressed in midline cellsStudy: function and regulation
Approaches:Purify midline cells (GFP) > compare to other cell
types and developmental time intervals
Mutant (sim) vs. wild-type
Misexpression of sim vs. wild-typeTransgenes – express in entire CNSGenetics – snail mutant > express in entire
mesoderm
Midline and Lateral CNS GFP Lines
sim-GFP vnd-GFP
Dissociate embryonic cells > FACSCompare expression at different stages and to other cell typesResults: midline-specific transcripts high in midline cells when comparedto levels in other tissues
Fluorescence Activated Cell Sorter (FACS)
Allows isolation offluorescently-labeled(GFP+) cells
Array Analysis of Gene Expression
Midline gene expression program > identify all genes expressed in midline cellsStudy: function and regulation
Approaches:Purify midline cells (GFP) > compare to other cell
types and developmental time intervals
Mutant (sim) vs. wild-type
Misexpression of sim vs. wild-typeTransgenes – express in entire CNSGenetics – snail mutant > express in entire
mesoderm
Comparison of Wild-type to sim Mutant Embryos
Wild-type
sim
Results: Expect to see midline gene expression reduced in sim mutant
Array Analysis of Gene Expression
Midline gene expression program > identify all genes expressed in midline cellsStudy: function and regulation
Approaches:Purify midline cells (GFP) > compare to other cell
types and developmental time intervals
Mutant (sim) vs. wild-type
Misexpression of sim vs. wild-typeTransgenes – express in entire CNSGenetics – snail mutant > express in entire
mesoderm
Analysis of Midline Transcription by Ectopic Sim Expression: Transgenic Approaches
sca-Gal4 X UAS-sim-GFP
GFP -Wrapper
Wild-type
-Wrapper
Result: Expect to see midline gene expression increased in sca-Gal4 X UAS-sim-GFP
Analysis of Midline Transcription by Ectopic Sim Expression: Genetic Approaches
Wild-type
snail
sim RNAlocalization
Result: Expect to see midline gene expression increased in snail mutant
Cluster Analysis of Combined Data Sets
Compare different data sets
Midline genes
Test by in situ hybridization for midline expression
Array Analysis of Mesoderm Gene Expression
Mesoderm Somatic musclesVisceral musclesFat body, hemocytes
twist geneEncodes transcription factor required for
mesodermal gene expression twist mutant – no mesoderm or mesodermal gene
expression twist overexpression (Toll10B mutation) – excess
mesoderm and mesodermal gene expression
Twist Mutant and Overexpression Phenotypes
Mutant Embryo Purification
twist is embryonic lethal mutation twi / + X twi / + only 25% embryos are mutant (twi /
twi) Use GFP-CyO chromosome and sort mutant embryos
GFP-CyO / twi twi / twi GFP-CyO / GFP-Cyo
Mutant Sorting
GFP-labeled organisms Hand sort with fluorescence microscope Machine sort
Array Analysis: Clustering
Confirm expected expression pattern by in situ hybridization