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Effect of polymorphisms on transcriptional regulation in mice

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Effect of polymorphisms on transcriptional regulation in mice ... Mapping mouse traits, January 20, 2004' Gene Expression. Gene Expression. 18 ... – PowerPoint PPT presentation

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Title: Effect of polymorphisms on transcriptional regulation in mice


1
Effect of polymorphisms on transcriptional
regulation in mice
  • Preliminary study of SNPs in the promoter region
    of genes with strong cis-eQTL

Manish Anand Advisors Dr. Debraj GuhaThakurta,
Dr. Sun Kim ROSETTA INPHARMATICS, and INDIANA
UNIVERSITY 24th Sep, 2004
2
Overview
  • Background
  • Methods
  • TFBS predictions genome-wide
  • TF specific analysis
  • Motifs in Promoter Regions
  • Results
  • Conclusions

3
Background
4
Central dogma
ZOOM IN
tRNA
transcription
DNA
rRNA
snRNA
translation
POLYPEPTIDE
mRNA
5
Transcription key steps
  • Initiation
  • Elongation
  • Termination

DNA
6
Transcription key steps
  • Initiation
  • Elongation
  • Termination

DNA
7
Transcription key steps
  • Initiation
  • Elongation
  • Termination

DNA
DNA

RNA
8
Methods
9
Regulation of Genes

Transcription Factor
RNA polymerase
DNA
Coding region
Regulatory Element
10
(No Transcript)
11
SNP
Gene 1
SNP
Gene 2
SNP
Gene 3
12
SNPs
Upstream 1
Upstream 2
Upstream 3
Upstream 4
TF predictions
13
Selected Predictions
14
T
G
C
T
A
A
A
G
15
PATSER / MATCH SCORE 0.95
PATSER / MATCH SCORE 0.22
16
TF
0.95
TF
0.22
17
Gene Expression
Gene Expression
Mice images taken from Terry Speeds lecture How
many genes? Mapping mouse traits, January 20,
2004
18
Consequences of point mutations in the promoter
for the b-globin gene
(From T. Maniatis, S. Goodbourn, and J. A.
Fischer, Science 236, 1987, 1237.)
19
TFBS Predictions Analysis
20
General Summary
21
MATCHScore Difference Analysis
22
TF specific analysis
23
Motifs whose predicted binding sites are
disrupted (show score differences)
24
Motifs whose predicted binding sites are
disrupted (site drops)
25
MOTIF DISCOVERY
26
Novel MOTIFs in positive set
27
MOTIFs in negative set
28
Future Investigations
29
Future Investigations
  • Mapping of real (experimentally verified) binding
    sites in TRANSFAC onto the genome
  • Observing whether SNPs that disrupt these binding
    sites are in gene regions that show strong
    cis-acting eQTLs.
  • Selection of several genes that show strong
    cis-eQTLs and have either real or predicted
    transcription factor binding sites disrupted in
    their upstream regions for experimental
    follow-up/validation with genotyping and
    measurement of expressions with different
    variants observed in the different strains of
    mice.
  • Such experiments would help in identification of
    causal variants for expression changes in these
    genes.

30
Conclusions
31
Conclusions
  • Amongst genes with cis-eQTLs, more genes have
    polymorphisms in their promoter regions
  • Significantly more genes in the set with
    cis-acting eQTLs show score differences in
    putative TFBSs compared to control set
  • Identification of specific TFs whose binding site
    predictions are disrupted in genes with
    cis-acting eQTLs
  • Identification of novel DNA motifs around SNP
    regions in the positive set

32
Acknowledgements
  • Indiana University
  • Dr. Sun Kim
  • Dr. Gary Wiggins
  • Dr. Marty Siegel
  • Rosetta Inpharmatics
  • Dr. Debraj GuhaThakurta
  • Dr. Eric Schadt
  • Dr. John Lamb
  • Dr. Stephen Edwards
  • Dr. Barmak Modrek

Few images were taken from Basic Biology for
CS262 - OMKAR DESHPANDE, Stanford University
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