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Dennis Shasha, Courant Institute, New York University With

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Presentation on theme: "Dennis Shasha, Courant Institute, New York University With"— Presentation transcript:

1 What is the Best Way to Find the Binding Site for a Transcription Factor?
Dennis Shasha, Courant Institute, New York University With Philip Benfey and Ken Birnbaum Biology Department, New York University.

2 Transcriptional Networks
Induction Specificity Modularity AAAA AAAA AAAA e.g. cis-element AAAA AAAA Repression AAAA AAAA AAAA AAAA Time 1 Time 2 Time 3

3 Genomic and Expression Data
Cis-regulatory regions of expressed genes Expres-sion Level Time

4 Clusters of Co-Expressed Genes
Expres-sion level Time a a a a a a a a a Over-represented motifs

5 Low Correlation Expression Level Time Time Transcription Factor
Dowstream Genes

6 Modularity From: Arnone & Davidson, Development, 1997
later expression module early specification module From: Arnone & Davidson, Development, 1997

7 Transcription Factor X
Expres-sion Time NAAAAAA.. ..TTTTTTN

8 Time Expres-sion Gene Cis - regulatory region A Transcription Factor X
Expression levels of genes with ACA?GTC in their promoters Time Gene Cis - regulatory region ACA?GTC A

9 Time Expres-sion Gene Cis - regulatory region A B
Transcription Factor X Expres-sion Expression levels of genes with ACA?GTC in their promoters Time Gene Cis - regulatory region ACA?GTC A ACA?GTC B

10 Time Expres-sion Gene Cis - regulatory region A B C
Transcription Factor X Expres-sion Expression levels of genes with ACA?GTC in their promoters Time Gene Cis - regulatory region ACA?GTC A ACA?GTC B ACA?GTC C

11 Composite expression of ACAGTC at Time 5
Transcription Factor X Expres-sion Expression levels of genes with ACA?GTC in their promoters Time Gene Cis - Expression regulatory Level Example: Time 5 region ACA?GTC A 2 ACA?GTC B 4 ACA?GTC C 2 = 8 Composite expression of ACAGTC at Time 5

12 Composite expression of ACAGTC at Time 5
Transcription Factor X Composite expression of genes with ACA?GTC in promoter Expres-sion Time Expression levels of genes with ACA?GTC in their promoters Gene Cis - Expression regulatory Level Example: Time 5 region ACA?GTC A 2 ACA?GTC B 4 ACA?GTC C 2 = 8 Composite expression of ACAGTC at Time 5

13 Cooperative Binding Model
TFs AND Binding Sites TF Expression Cell Type A Cell Type B Cell Type C Z Z Expression Level A B C Z

14 X Cooperative Binding Model TFs AND Binding Sites TF Expression
Cell Type A Cell Type B Cell Type C X Z Expression Level A B C Target Gene Expression Expression Level A B C

15 X X X X Cooperative Binding Model TFs AND Binding Sites TF Expression
Cell Type A Cell Type B Cell Type C Z Z Expression Level A B C Z Z X X Target Gene Expression Z Z Z Z Z X Expression Level X A B C

16 X X X X Cooperative Binding Model TFs AND Binding Sites TF Expression
Cell Type A Cell Type B Cell Type C Z Z Expression Level A B C Z Z X X Target Gene Expression Z Z Z Z Z X Expression Level X A B C

17 Cooperative Binding Model
TFs OR Binding Sites

18 Independent Binding Model: well handled by Bussemaker et al.

19 Assumptions: TF RNA Expression = TF protein (protein movement)
TFs are active where they are expressed (co-factors) Binding sites are within 2 kb of initiation site

20 Testing the Method Yeast Fully sequenced genome
Genome-wide mRNA expression profiles 300 knockout lines from Rosetta (Hughes et al. 2000) 2 datasets on yeast progressing through the cell cycle (Spellman et al. 1998; Cho et al. 1998)

21 Results for STE12 *From SCPD (Zhang, Cold Spring Harbor)
Dennis, the point of the lower *From SCPD (Zhang, Cold Spring Harbor)

22 Results for STE12 *From SCPD (Zhang, Cold Spring Harbor)
Dennis, the point of the lower *From SCPD (Zhang, Cold Spring Harbor)

23 Results for STE12 *From SCPD (Zhang, Cold Spring Harbor)
Dennis, the point of the lower *From SCPD (Zhang, Cold Spring Harbor)

24 Overall Results

25 Conclusions Technique: correlate transcription factor expression with cis-element expression. Can capture information that would be missed by gene expression correlation. Can handle cooperative (AND) and independent (OR) cases. Does less well for complex circuits. Future effort: manipulate promoters to eliminate false positives. (Information theory + experiments)


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