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Series GSE244410 Query DataSets for GSE244410
Status Public on Oct 04, 2023
Title Joint sequence and chromatin neural networks characterize the differential abilities of Forkhead transcription factors to engage inaccessible chromatin (ChIP-exo)
Organism Mus musculus
Experiment type Other
Summary The DNA-binding activities of transcription factors (TFs) are influenced by both intrinsic sequence preferences and extrinsic interactions with cell-specific chromatin landscapes and other regulatory proteins. Disentangling the roles of these determinants in TF-DNA binding remains challenging. For instance, the FoxA subfamily of Forkhead domain TFs are known pioneer factors, yet their binding varies across cell types, pointing to a combination of intrinsic and extrinsic forces guiding their binding. How such sequence and chromatin influences vary across related Forkhead domain TFs remains mostly uncharacterized. Here, we present a principled approach to compare the relative contributions of intrinsic DNA sequence preference and cell-specific chromatin environments to a TF’s DNA-binding activities. We over-express a selection of Fox TFs in mouse embryonic stem (mES) cells, which offer a platform to contrast each TF's binding activity within the same preexisting chromatin background. By developing and applying a neural network that jointly models sequence and chromatin data, we can evaluate how sequence and preexisting chromatin features contribute to induced TF binding, both at individual sites and genome-wide. We demonstrate that Fox TFs bind different DNA targets, and drive differential gene expression patterns, even when induced in identical chromatin settings. Differential Fox binding activities can be attributed to distinct DNA-binding preferences coupled with differential abilities to engage relatively inaccessible chromatin. We propose that varying preferences for preexisting chromatin states enables the functional diversification of paralogous TFs.
 
Overall design Genome-wide ChIP-exo profiling of high-resolution protein-DNA interactions for selected Forkhead domain transcription factors that have been over-expressed in mouse embryonic stem cells
 
Contributor(s) Arora S, Yang J, Akiyama T, James D, Morrissey A, Blanda TR, Badjatia N, Lai WK, Ko MS, Pugh BF, Mahony S
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Submission date Sep 30, 2023
Last update date Oct 04, 2023
Contact name Shaun Mahony
E-mail(s) mahony@psu.edu
Phone 814-865-3008
Organization name Penn State University
Department Biochemistry & Molecular Biology
Lab Shaun Mahony
Street address 404 South Frear Bldg
City University Park
State/province PA
ZIP/Postal code 16802
Country USA
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (28)
GSM7815569 iFoxA1, mES+24hrs, antiFLAG-ChIP-exo, rep1
GSM7815570 iFoxA1, mES+24hrs, antiFoxA1-ChIP-exo, rep2
GSM7815571 iFoxA1, mES+24hrs, antiFLAG-ChIP-exo, rep3
This SubSeries is part of SuperSeries:
GSE244411 Joint sequence and chromatin neural networks characterize the differential abilities of Forkhead transcription factors to engage inaccessible chromatin
Relations
BioProject PRJNA1022808

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Supplementary file Size Download File type/resource
GSE244410_FoxA1.mES_FoxA1.mES.bed.gz 315.9 Kb (ftp)(http) BED
GSE244410_FoxC1.mES_FoxC1.mES.bed.gz 11.4 Kb (ftp)(http) BED
GSE244410_FoxG1.mES_FoxG1.mES.bed.gz 666.0 Kb (ftp)(http) BED
GSE244410_FoxL2.mES_FoxL2.mES.bed.gz 68.5 Kb (ftp)(http) BED
GSE244410_FoxP3.mES_FoxP3.mES.bed.gz 43.6 Kb (ftp)(http) BED
GSE244410_RAW.tar 4.8 Gb (http)(custom) TAR (of BED, BW)
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Raw data are available in SRA

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