Binding sites for USF1, USF2 and regions of histone 3 acetylation mapped genome-wide

Claes Wadelius Prof, MD Department of genetics and pathology Introduction

ƒ Metabolic disorders: epidemic proportions.

ƒ Aetiological similarities with familial combined hyperlipidaemia (FCHL).

ƒ Association of FCHL with non-coding variants of the USF1.

ƒ USFs role in glucose and lipid metabolism. Western blot – antibody specificity ChIP signal after siRNA Experimental design

ƒ ChIPs for USF1, USF2, H3ac and IgG. Input DNA. Sonicated to small sizes.

ƒ 3 biological replicates.

ƒ Human Tiling 2.0R Array set (Affymetrix).

ƒ 126 hybridizations. Correlations between replicates - USF1

1 vs 2 1 vs 3

All data points Log2>0.6 2 vs 3 Correlations between data sets Data points after peak finding Signal for IgG vs input

B statistic

3

Positive experiment Log2 USF1, USF2, H3ac

Negative control IgG signal 0 High B score Low B score Data analysis and overall results

ƒ Stringent and Relaxed data sets: - At least four consecutive spots. - Double cut-off: B-score (reproducibility and different from IgG) + Log2 (enrichment over input)

Enriched regions Enriched regions Enriche regions Number Mean size (bp) Median size (bp)

Stringent USF1 2519 511 345 Relaxed USF1 3499 - - Stringent USF2 1352 381 270 Relaxed USF2 2311 - -

Stringent H3ac 10901 609 458 Relaxed H3ac 12915 - - 2,5 29 Kb 6 Kb Kb

ApoA-IV ApoC-III ApoC-III Promoter ApoA-I Promoter Apo A-V Promoter enhancer Promoter HNF-4α HNF-3β USF1 (-0.9-0.5 KB) HNF-4α HNF-4α C/EBP HNF-4α PPARα Sp1 USF1 C/EBP

Cis-element between ApoA-IV and ApoC-III HNF-4α qPCR validation of ChIP-chip data

USF1 vs H86 qPCR USF1 vs C20 qPCR R=0,81 R=0,81

1000

USF1 100 (H86) USF2 vs qPCR H3ac vs qPCR USF1 R=0,79 R=0,85 (C20)

USF2

Fold enrichment (log scale) (log Fold enrichment 10

1 1 6 11 16 21 26 31 36 41 46 USF bound regions

ƒ 48 bound and 6 unbound regions ƒ Correlation between ChIP-chip and analyzed by qPCR. qPCR binding signals ƒ qPCR for USF1, USF2 and H3ac USF binding close to TSS of active

ƒ USFs bind promoters of transcriptionally active genes

Architecture of USF and H3ac bound promoters

USF1

USF1 H3ac

USF2

USF2 H3ac

ƒ USFs preferentially bind upstream of TSS in the context of H3 hyperacetylated chromatin USF binding determinants. E-boxes

USF1

log2>2 (422)

ENCODE (31) 1.5

TRANSFAC 1.25

JASPAR 1

log2<=1 (485) Validation of tentative binding sites (TBS) against established ones

Gene/element ENCODE ID OUR TBS Established binding site TF

ApoA4/C3 >ENm003:stSG60180 GTCCAGAGGTCA TCAAACCAGGGGTCAGTCCAGAGGTCAGAGTCA intergenic 7 HNF-4α

>ENm003:stSG60180 APOA4 promoter TGTCAAGGTACA TCGATAGTCTCAGGGTCACAAAAAGTCCAAGAGGCC 4 HNF-4α

>ENm003:stSG60180 APOA4 promoter GGGGCAAAGTCCA GGGAGATGTGGACTTTGCCCCCCATGAGCCC 4 HNF-4α

>ENm003:stSG60181 APOC3 promoter GGGCAGAGGCCA 0 HNF-4α

>ENm003:stSG60181 APOC3 promoter GGGCAAAGGTCA TCGAGGTCAGCAGGTGACCTTTGCCCAGCG 0 HNF-4α

F10 promoter >ENr132:stSG621988 GAGCAAAGTCCA TCCCAGGTGGGGCGTGGACTTTGCTCCA HNF-4α

>ENm003:stSG60181 APOA1 promoter GCTCAAGGTTCA CCGCCCCCACTGAACCCTTGACCCCTGCCCT 7 HNF-4α

>ENm003:stSG60181 CCTTGAACTCTTAAGTTCCACATTGCCAGGACCA APOA1 promoter 7 GTGAGCAGCAACAGGGCC HNF-4α

>ENm003:stSG60181 HNF- APOA1 promoter TGCCCACTCTATTTGCCCAGCCCCAG 7 3β Validation of TBS by EMSA

HNF-4α USF1 HNF-3β

p p p p α p p β m 4 m 1 m 3 o m - α o m - o m - o F 2 o F 1 o F 1 C c C c S C c g s f . N P g s f . p g s f . N p e o l r e o l r U S e o l r S e n H A e n - - e n H - N P - - N P N P - S U α α S U Α Α S U α Α

stSG634982 stSG627950 stSG611299 Validating DNA- interactions by proximity ligation Genomic distribution H3ac USF binding determinants. Chromatin

Negatives

TSS 500 bp TSS 1 kb TSS 5 kb 3’en 5 kb Intragenic Intergenic TSS 1kb Human mRNAs/Spliced ESTs High signal Low signal Conclusions

ƒ Carefully controlled experiments with <1% false positives.

ƒ Promoter architecture of USF1 and H3ac promoters.

ƒ H3ac as a transcriptional dependent mark.

ƒ USF binding determinants: chromatin and DNA sequence.

ƒ TF binding may be predicted at bp resolution.

ƒ USF1 and FCHL: candidate genes identified. Acknowledgements

Department of Genetics and Wellcome Trust Sanger Institute Pathology, Uppsala Christoph Koch Alvaro Rada-Iglesias Ian Dunham Ola Wallerman Mehdi Motallebipour Affymetrix Sigrun Gustafsdottir Tom Gingeras Ulf Landegren Phil Kapranov

Linnaeus Centre for Bioinformatics, Uppsala Adam Ameur Stefan Enroth Jan Komorowski