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Wellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors.
Piper, Jason; Assi, Salam A; Cauchy, Pierre; Ladroue, Christophe; Cockerill, Peter N; Bonifer, Constanze; Ott, Sascha.
  • Piper J; Warwick Systems Biology Centre, University of Warwick, Coventry, CV4 7AL, UK.
  • Assi SA; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, Institute of Biomedical Research, University of Birmingham, Birmingham, B15 2TT, UK.
  • Cauchy P; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, Institute of Biomedical Research, University of Birmingham, Birmingham, B15 2TT, UK.
  • Ladroue C; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, Institute of Biomedical Research, University of Birmingham, Birmingham, B15 2TT, UK.
  • Cockerill PN; Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK.
  • Bonifer C; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, Institute of Biomedical Research, University of Birmingham, Birmingham, B15 2TT, UK. P.N.Cockerill@bham.ac.uk.
  • Ott S; Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, Institute of Biomedical Research, University of Birmingham, Birmingham, B15 2TT, UK. C.Bonifer@bham.ac.uk.
BMC Genomics ; 16: 1000, 2015 Nov 25.
Article en En | MEDLINE | ID: mdl-26608661
ABSTRACT

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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Factores de Transcripción / Sitios de Unión / Huella de ADN / Biología Computacional / Desoxirribonucleasas / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Factores de Transcripción / Sitios de Unión / Huella de ADN / Biología Computacional / Desoxirribonucleasas / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2015 Tipo del documento: Article