Literature DB >> 27587683

PeakXus: comprehensive transcription factor binding site discovery from ChIP-Nexus and ChIP-Exo experiments.

Tuomo Hartonen1, Biswajyoti Sahu1, Kashyap Dave2, Teemu Kivioja1, Jussi Taipale3.   

Abstract

MOTIVATION: Transcription factor (TF) binding can be studied accurately in vivo with ChIP-exo and ChIP-Nexus experiments. Only fraction of TF binding mechanisms are yet fully understood and accurate knowledge of binding locations and patterns of TFs is key to understanding binding that is not explained by simple positional weight matrix models. ChIP-exo/Nexus experiments can also offer insight on the effect of single nucleotide polymorphism (SNP) at TF binding sites on expression of the target genes. This is an important mechanism of action for disease-causing SNPs at non-coding genomic regions.
RESULTS: We describe a peak caller PeakXus that is specifically designed to leverage the increased resolution of ChIP-exo/Nexus and developed with the aim of making as few assumptions of the data as possible to allow discoveries of novel binding patterns. We apply PeakXus to ChIP-Nexus and ChIP-exo experiments performed both in Homo sapiens and in Drosophila melanogaster cell lines. We show that PeakXus consistently finds more peaks overlapping with a TF-specific recognition sequence than published methods. As an application example we demonstrate how PeakXus can be coupled with unique molecular identifiers (UMIs) to measure the effect of a SNP overlapping with a TF binding site on the in vivo binding of the TF.
AVAILABILITY AND IMPLEMENTATION: Source code of PeakXus is available at https://github.com/hartonen/PeakXus CONTACT: tuomo.hartonen@helsinki.fi or jussi.taipale@ki.se.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2016        PMID: 27587683     DOI: 10.1093/bioinformatics/btw448

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Characterizing protein-DNA binding event subtypes in ChIP-exo data.

Authors:  Naomi Yamada; William K M Lai; Nina Farrell; B Franklin Pugh; Shaun Mahony
Journal:  Bioinformatics       Date:  2019-03-15       Impact factor: 6.937

Review 2.  Insights from resolving protein-DNA interactions at near base-pair resolution.

Authors:  Bryan J Venters
Journal:  Brief Funct Genomics       Date:  2018-03-01       Impact factor: 4.241

3.  Modular discovery of monomeric and dimeric transcription factor binding motifs for large data sets.

Authors:  Jarkko Toivonen; Teemu Kivioja; Arttu Jolma; Yimeng Yin; Jussi Taipale; Esko Ukkonen
Journal:  Nucleic Acids Res       Date:  2018-05-04       Impact factor: 16.971

4.  Contribution of allelic imbalance to colorectal cancer.

Authors:  Kimmo Palin; Esa Pitkänen; Mikko Turunen; Biswajyoti Sahu; Päivi Pihlajamaa; Teemu Kivioja; Eevi Kaasinen; Niko Välimäki; Ulrika A Hänninen; Tatiana Cajuso; Mervi Aavikko; Sari Tuupanen; Outi Kilpivaara; Linda van den Berg; Johanna Kondelin; Tomas Tanskanen; Riku Katainen; Marta Grau; Heli Rauanheimo; Roosa-Maria Plaketti; Aurora Taira; Päivi Sulo; Tuomo Hartonen; Kashyap Dave; Bernhard Schmierer; Sandeep Botla; Maria Sokolova; Anna Vähärautio; Kornelia Gladysz; Halit Ongen; Emmanouil Dermitzakis; Jesper Bertram Bramsen; Torben Falck Ørntoft; Claus Lindbjerg Andersen; Ari Ristimäki; Anna Lepistö; Laura Renkonen-Sinisalo; Jukka-Pekka Mecklin; Jussi Taipale; Lauri A Aaltonen
Journal:  Nat Commun       Date:  2018-09-10       Impact factor: 14.919

5.  Base-resolution models of transcription-factor binding reveal soft motif syntax.

Authors:  Žiga Avsec; Melanie Weilert; Avanti Shrikumar; Sabrina Krueger; Amr Alexandari; Khyati Dalal; Robin Fropf; Charles McAnany; Julien Gagneur; Anshul Kundaje; Julia Zeitlinger
Journal:  Nat Genet       Date:  2021-02-18       Impact factor: 38.330

  5 in total

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