Literature DB >> 33637709

Chromatin information content landscapes inform transcription factor and DNA interactions.

Ricardo D'Oliveira Albanus1, Yasuhiro Kyono1,2,3, John Hensley1, Arushi Varshney1, Peter Orchard1, Jacob O Kitzman1,2, Stephen C J Parker4,5.   

Abstract

Interactions between transcription factors and chromatin are fundamental to genome organization and regulation and, ultimately, cell state. Here, we use information theory to measure signatures of organized chromatin resulting from transcription factor-chromatin interactions encoded in the patterns of the accessible genome, which we term chromatin information enrichment (CIE). We calculate CIE for hundreds of transcription factor motifs across human samples and identify two classes: low and high CIE. The 10-20% of common and tissue-specific high CIE transcription factor motifs, associate with higher protein-DNA residence time, including different binding site subclasses of the same transcription factor, increased nucleosome phasing, specific protein domains, and the genetic control of both chromatin accessibility and gene expression. These results show that variations in the information encoded in chromatin architecture reflect functional biological variation, with implications for cell state dynamics and memory.

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Year:  2021        PMID: 33637709      PMCID: PMC7910283          DOI: 10.1038/s41467-021-21534-4

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  66 in total

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Authors:  G D Stormo
Journal:  Bioinformatics       Date:  2000-01       Impact factor: 6.937

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Authors:  Galip Gürkan Yardımcı; Christopher L Frank; Gregory E Crawford; Uwe Ohler
Journal:  Nucleic Acids Res       Date:  2014-10-07       Impact factor: 16.971

3.  Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

Authors:  Jason D Buenrostro; Paul G Giresi; Lisa C Zaba; Howard Y Chang; William J Greenleaf
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Review 4.  Poly(dA:dT) tracts: major determinants of nucleosome organization.

Authors:  Eran Segal; Jonathan Widom
Journal:  Curr Opin Struct Biol       Date:  2009-02-07       Impact factor: 6.809

5.  Quantitative analysis demonstrates most transcription factors require only simple models of specificity.

Authors:  Yue Zhao; Gary D Stormo
Journal:  Nat Biotechnol       Date:  2011-06-07       Impact factor: 54.908

6.  Genome-wide protein-DNA binding dynamics suggest a molecular clutch for transcription factor function.

Authors:  Colin R Lickwar; Florian Mueller; Sean E Hanlon; James G McNally; Jason D Lieb
Journal:  Nature       Date:  2012-04-11       Impact factor: 49.962

7.  Refined DNase-seq protocol and data analysis reveals intrinsic bias in transcription factor footprint identification.

Authors:  Housheng Hansen He; Clifford A Meyer; Sheng'en Shawn Hu; Mei-Wei Chen; Chongzhi Zang; Yin Liu; Prakash K Rao; Teng Fei; Han Xu; Henry Long; X Shirley Liu; Myles Brown
Journal:  Nat Methods       Date:  2013-12-08       Impact factor: 28.547

8.  Potential energy landscapes identify the information-theoretic nature of the epigenome.

Authors:  Garrett Jenkinson; Elisabet Pujadas; John Goutsias; Andrew P Feinberg
Journal:  Nat Genet       Date:  2017-03-27       Impact factor: 38.330

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  Transcriptome and genome sequencing uncovers functional variation in humans.

Authors:  Tuuli Lappalainen; Michael Sammeth; Marc R Friedländer; Peter A C 't Hoen; Jean Monlong; Manuel A Rivas; Mar Gonzàlez-Porta; Natalja Kurbatova; Thasso Griebel; Pedro G Ferreira; Matthias Barann; Thomas Wieland; Liliana Greger; Maarten van Iterson; Jonas Almlöf; Paolo Ribeca; Irina Pulyakhina; Daniela Esser; Thomas Giger; Andrew Tikhonov; Marc Sultan; Gabrielle Bertier; Daniel G MacArthur; Monkol Lek; Esther Lizano; Henk P J Buermans; Ismael Padioleau; Thomas Schwarzmayr; Olof Karlberg; Halit Ongen; Helena Kilpinen; Sergi Beltran; Marta Gut; Katja Kahlem; Vyacheslav Amstislavskiy; Oliver Stegle; Matti Pirinen; Stephen B Montgomery; Peter Donnelly; Mark I McCarthy; Paul Flicek; Tim M Strom; Hans Lehrach; Stefan Schreiber; Ralf Sudbrak; Angel Carracedo; Stylianos E Antonarakis; Robert Häsler; Ann-Christine Syvänen; Gert-Jan van Ommen; Alvis Brazma; Thomas Meitinger; Philip Rosenstiel; Roderic Guigó; Ivo G Gut; Xavier Estivill; Emmanouil T Dermitzakis
Journal:  Nature       Date:  2013-09-15       Impact factor: 49.962

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Authors:  Masahiro Nagano; Bo Hu; Shihori Yokobayashi; Akitoshi Yamamura; Fumiya Umemura; Mariel Coradin; Hiroshi Ohta; Yukihiro Yabuta; Yukiko Ishikura; Ikuhiro Okamoto; Hiroki Ikeda; Naofumi Kawahira; Yoshiaki Nosaka; Sakura Shimizu; Yoji Kojima; Ken Mizuta; Tomoko Kasahara; Yusuke Imoto; Killian Meehan; Roman Stocsits; Gordana Wutz; Yasuaki Hiraoka; Yasuhiro Murakawa; Takuya Yamamoto; Kikue Tachibana; Jan-Michel Peters; Leonid A Mirny; Benjamin A Garcia; Jacek Majewski; Mitinori Saitou
Journal:  EMBO J       Date:  2022-06-15       Impact factor: 14.012

2.  Chromatin information content landscapes inform transcription factor and DNA interactions.

Authors:  Ricardo D'Oliveira Albanus; Yasuhiro Kyono; John Hensley; Arushi Varshney; Peter Orchard; Jacob O Kitzman; Stephen C J Parker
Journal:  Nat Commun       Date:  2021-02-26       Impact factor: 14.919

3.  Comparative methylomics and chromatin accessibility analysis in Osmanthus fragrans uncovers regulation of genic transcription and mechanisms of key floral scent production.

Authors:  Yuanji Han; Miaomiao Lu; Shumin Yue; Ke Li; Meifang Dong; Luxian Liu; Hongyun Wang; Fude Shang
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Review 4.  Pseudogenes and Liquid Phase Separation in Epigenetic Expression.

Authors:  Bernard Nsengimana; Faiz Ali Khan; Usman Ayub Awan; Dandan Wang; Na Fang; Wenqiang Wei; Weijuan Zhang; Shaoping Ji
Journal:  Front Oncol       Date:  2022-07-08       Impact factor: 5.738

5.  DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors.

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6.  The role of epigenetic modifications, long-range contacts, enhancers and topologically associating domains in the regulation of glioma grade-specific genes.

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  6 in total

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