Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework

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Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework. / Martin, Patrick C.N.; Zabet, Nicolae Radu.

I: Computational and Structural Biotechnology Journal, Bind 18, 2020, s. 3590-3605.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Martin, PCN & Zabet, NR 2020, 'Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework', Computational and Structural Biotechnology Journal, bind 18, s. 3590-3605. https://doi.org/10.1016/j.csbj.2020.11.006

APA

Martin, P. C. N., & Zabet, N. R. (2020). Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework. Computational and Structural Biotechnology Journal, 18, 3590-3605. https://doi.org/10.1016/j.csbj.2020.11.006

Vancouver

Martin PCN, Zabet NR. Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework. Computational and Structural Biotechnology Journal. 2020;18:3590-3605. https://doi.org/10.1016/j.csbj.2020.11.006

Author

Martin, Patrick C.N. ; Zabet, Nicolae Radu. / Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework. I: Computational and Structural Biotechnology Journal. 2020 ; Bind 18. s. 3590-3605.

Bibtex

@article{b9d9d5ff4f5d4dbeb573e70eaf8305cf,
title = "Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework",
abstract = "Transcription Factors (TFs) bind to DNA and control activity of target genes. Here, we present ChIPanalyser, a user-friendly, versatile and powerful R/Bioconductor package predicting and modelling the binding of TFs to DNA. ChIPanalyser performs similarly to state-of-the-art tools, but is an explainable model and provides biological insights into binding mechanisms of TFs. We focused on investigating the binding mechanisms of three TFs that are known architectural proteins CTCF, BEAF-32 and su(Hw) in three Drosophila cell lines (BG3, Kc167 and S2). While CTCF preferentially binds only to a subset of high affinity sites located mainly in open chromatin, BEAF-32 binds to most of its high affinity binding sites available in open chromatin. In contrast, su(Hw) binds to both open chromatin and also partially closed chromatin. Most importantly, differences in TF binding profiles between cell lines for these TFs are mainly driven by differences in DNA accessibility and not by differences in TF concentrations between cell lines. Finally, we investigated binding of Hox TFs in Drosophila and found that Ubx binds only in open chromatin, while Abd-B and Dfd are capable to bind in both open and partially closed chromatin. Overall, our results show that TFs display different binding mechanisms and that our model is able to recapitulate their specific binding behaviour.",
author = "Martin, {Patrick C.N.} and Zabet, {Nicolae Radu}",
year = "2020",
doi = "10.1016/j.csbj.2020.11.006",
language = "English",
volume = "18",
pages = "3590--3605",
journal = "Computational and Structural Biotechnology Journal",
issn = "2001-0370",
publisher = "Research Network of Computational and Structural Biotechnology (RNCSB)",

}

RIS

TY - JOUR

T1 - Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework

AU - Martin, Patrick C.N.

AU - Zabet, Nicolae Radu

PY - 2020

Y1 - 2020

N2 - Transcription Factors (TFs) bind to DNA and control activity of target genes. Here, we present ChIPanalyser, a user-friendly, versatile and powerful R/Bioconductor package predicting and modelling the binding of TFs to DNA. ChIPanalyser performs similarly to state-of-the-art tools, but is an explainable model and provides biological insights into binding mechanisms of TFs. We focused on investigating the binding mechanisms of three TFs that are known architectural proteins CTCF, BEAF-32 and su(Hw) in three Drosophila cell lines (BG3, Kc167 and S2). While CTCF preferentially binds only to a subset of high affinity sites located mainly in open chromatin, BEAF-32 binds to most of its high affinity binding sites available in open chromatin. In contrast, su(Hw) binds to both open chromatin and also partially closed chromatin. Most importantly, differences in TF binding profiles between cell lines for these TFs are mainly driven by differences in DNA accessibility and not by differences in TF concentrations between cell lines. Finally, we investigated binding of Hox TFs in Drosophila and found that Ubx binds only in open chromatin, while Abd-B and Dfd are capable to bind in both open and partially closed chromatin. Overall, our results show that TFs display different binding mechanisms and that our model is able to recapitulate their specific binding behaviour.

AB - Transcription Factors (TFs) bind to DNA and control activity of target genes. Here, we present ChIPanalyser, a user-friendly, versatile and powerful R/Bioconductor package predicting and modelling the binding of TFs to DNA. ChIPanalyser performs similarly to state-of-the-art tools, but is an explainable model and provides biological insights into binding mechanisms of TFs. We focused on investigating the binding mechanisms of three TFs that are known architectural proteins CTCF, BEAF-32 and su(Hw) in three Drosophila cell lines (BG3, Kc167 and S2). While CTCF preferentially binds only to a subset of high affinity sites located mainly in open chromatin, BEAF-32 binds to most of its high affinity binding sites available in open chromatin. In contrast, su(Hw) binds to both open chromatin and also partially closed chromatin. Most importantly, differences in TF binding profiles between cell lines for these TFs are mainly driven by differences in DNA accessibility and not by differences in TF concentrations between cell lines. Finally, we investigated binding of Hox TFs in Drosophila and found that Ubx binds only in open chromatin, while Abd-B and Dfd are capable to bind in both open and partially closed chromatin. Overall, our results show that TFs display different binding mechanisms and that our model is able to recapitulate their specific binding behaviour.

U2 - 10.1016/j.csbj.2020.11.006

DO - 10.1016/j.csbj.2020.11.006

M3 - Journal article

C2 - 33304457

AN - SCOPUS:85096880666

VL - 18

SP - 3590

EP - 3605

JO - Computational and Structural Biotechnology Journal

JF - Computational and Structural Biotechnology Journal

SN - 2001-0370

ER -

ID: 255884558