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Series GSE111854 Query DataSets for GSE111854
Status Public on Jan 31, 2019
Title Learning the cis sequence elements that determine AP-1 monomer specificity (ChIP-seq data sets)
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Regulation of gene expression is mediated by combinations of DNA binding transcription factors that work in concert to recruit transcriptional machinery. Each cell type expresses hundreds of sequence-specific transcription factors, many of which recognize identical or similar DNA sequences. Such factors can play both redundant and non-redundant roles, but mechanisms determining overlapping or distinct biological outcomes are largely unknown. Here, we implement a machine learning approach to investigate how local combinations of sequence motifs influence the genome wide binding patterns of different members of the AP-1 transcription factor family in macrophages. Significant motifs associated with family member specific binding patterns were validated by assessing effects of motif mutations in different strains of mice. We further confirmed the prediction of PPARg to be preferentially associated with the specific binding pattern of cJun using PPARg knockout macrophages. Together, our results provide evidence that unique binding patterns of AP-1 family members result in part from the corresponding unique ensembles of nearby regulatory elements embedded within enhancers and promoters, and that these elements can be identified by machine learning models trained using genomic sequence.
 
Overall design ChIP-seq targeting transcription factors from the AP-1 family (Atf3, cJun, Fos, Fra2, JunB, and JunD) and PPARg were performed in mouse thioglycollate elicited macrophage cells derived from two strains of mice (C57BL6/EIJ and BALB/cJ) in vehicle treatment and/or KLA treatment with corresponding input experiments and biological replicates. Additional ChIP-seq experiments targeting the transcription factors PU.1 and CEBPa were performed to validate previous studies using mouse thioglycollate elicited macrophage cells in vehicle treatment and KLA treatment. ChIP-seqs for Atf3, cJun, and JunD were also performed in immortalized bone marrow derived macrophage cells derived from C57BL6/EIJ mice (also with biological replicates). 
 
Contributor(s) Fonseca GJ, Tao J, Westin E, Duttke SH, Spann N, Strid T, Shen Z, Stender JD, Link V, Benner C, Glass CK
Citation(s) 30679424
Submission date Mar 14, 2018
Last update date Mar 21, 2019
Contact name Jenhan Tao
E-mail(s) jenhantao@gmail.com
Organization name UC San Diego
Department Cellular and Molecular Medicine
Lab Glass
Street address 9500 Gilman Drive, Mail code 0651
City La Jolla
State/province CA
ZIP/Postal code 92093
Country USA
 
Platforms (2)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
Samples (34)
GSM3041171 C57Bl6-PPARgKO_Thiomac_ChIP_ATF3_Veh
GSM3041172 C57Bl6-PPARgKO_Thiomac_ChIP_cJun_Veh
GSM3041173 C57Bl6-PPARgKO_Thiomac_ChIP_JunD_Veh
This SubSeries is part of SuperSeries:
GSE111856 Learning the cis sequence elements that determine AP-1 monomer specificity
Relations
BioProject PRJNA438357
SRA SRP135712

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE111854_RAW.tar 7.6 Mb (http)(custom) TAR (of TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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