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Regulatory Region Size: 50 > 10,000 bp
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tarix | 06.09.2018 | ölçüsü | 443 b. | | #78006 |
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Genes
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 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
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)
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
Exons Genes have a modular design - Evolutionarily assembled in pieces
- Functional unit > exons
# exons can vary from 1 > 178 Average # exons/gene – different organisms - Yeast ~1
- Drosophila 4
- Human 9
Human genes (mean sizes)
Introns Introns vary greatly in size - Most ~ 50 bp but can be > 15 kb
- Large genes – large introns
- Small genes – small introns
Size differs between species - C. elegans 267 bp
- Drosophila 487 bp
- Human 3,365 bp
- Human introns > exons in size
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 anything
- Other genes may compensate for defect (redundancy)
- Double mutant analysis often provides evidence for this explanation
- Common for highly-related genes to be (at least partially) redundant
- Defect may be too subtle to detect
- Proper assay not used
- Need proper ecological setting and evolutionarily-relevant time span to detect
- May be conditional
CNS Midline Cell Development and Transcription Requires Single-minded Function
Ubiquitously-Expressed Sim Transforms Entire CNS into CNS Midline Cells
Gene Regulation Regulatory proteins > DNA cis-control elements Positive and negative regulation Combinatorial regulation > highly specific patterns of spatial, temporal and quantitative expression
Sim:Tgo Binding Sites (CNS Midline Elements - CMEs) are Required for Midline Transcription -LacZ
Array Analysis of Gene Expression: Drosophila Understand complete array of gene regulatory events that underlie: - Development
- Tissue and cell identity
- Aging
- Behavior
- Circadian rhythms
- Learning and memory
Example: Single-minded (Sim): Master Regulator of CNS Midline Cell Development and Transcription
Array Analysis of Gene Expression Midline gene expression program > identify all genes expressed in midline cells - Study: 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-type
Midline and Lateral CNS GFP Lines
Fluorescence Activated Cell Sorter (FACS) Allows isolation of fluorescently-labeled (GFP+) cells
Array Analysis of Gene Expression Midline gene expression program > identify all genes expressed in midline cells - Study: 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-type
- Transgenes – express in entire CNS
- Genetics – snail mutant > express in entire mesoderm
Array Analysis of Gene Expression Midline gene expression program > identify all genes expressed in midline cells - Study: 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-type
- Transgenes – express in entire CNS
- Genetics – snail mutant > express in entire mesoderm
Analysis of Midline Transcription by Ectopic Sim Expression: Transgenic Approaches
Analysis of Midline Transcription by Ectopic Sim Expression: Genetic Approaches
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 muscles
- Visceral muscles
- Fat body, hemocytes
twist gene - Encodes 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 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
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