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Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors

BACKGROUND: The analysis of differential gene expression is a fundamental tool to relate gene regulation with specific biological processes. Differential binding of transcription factors (TFs) can drive differential gene expression. While DNase-seq data can provide global snapshots of TF binding, to...

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Detalles Bibliográficos
Autores principales: Piper, Jason, Assi, Salam A., Cauchy, Pierre, Ladroue, Christophe, Cockerill, Peter N., Bonifer, Constanze, Ott, Sascha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658755/
https://www.ncbi.nlm.nih.gov/pubmed/26608661
http://dx.doi.org/10.1186/s12864-015-2081-4
Descripción
Sumario:BACKGROUND: The analysis of differential gene expression is a fundamental tool to relate gene regulation with specific biological processes. Differential binding of transcription factors (TFs) can drive differential gene expression. While DNase-seq data can provide global snapshots of TF binding, tools for detecting differential binding from pairs of DNase-seq data sets are lacking. RESULTS: In order to link expression changes with changes in TF binding we introduce the concept of differential footprinting alongside a computational tool. We demonstrate that differential footprinting is associated with differential gene expression and can be used to define cell types by their specific TF occupancy patterns. CONCLUSIONS: Our new tool, Wellington-bootstrap, will enable the detection of differential TF binding facilitating the study of gene regulatory systems. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2081-4) contains supplementary material, which is available to authorized users.