Literature DB >> 32113082

Considerations in the analysis of plant chromatin accessibility data.

Kerry L Bubb1, Roger B Deal2.   

Abstract

Transcriptional control is exerted primarily through the binding of transcription factor proteins to regulatory elements in DNA. By virtue of eukaryotic DNA being complexed with histones, transcription factor binding to DNA alters or eliminates histone-DNA contacts, leading to increased accessibility of the DNA region to nuclease enzymes. This hypersensitivity to nuclease digestion has been used to define DNA binding events and regulatory elements across genomes, and to compare these attributes between cell types or conditions. These approaches make it possible to define the regulatory elements in a genome as well as to predict the regulatory networks of transcription factors and their target genes in a given cell state. As these chromatin accessibility assays are increasingly used, it is important to consider how to analyze the resulting data to avoid artifactual results or misinterpretation. In this review, we focus on some of the key technical and computational caveats associated with plant chromatin accessibility data, including strategies for sample preparation, sequencing, read mapping, and downstream analyses. Published by Elsevier Ltd.

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Year:  2020        PMID: 32113082      PMCID: PMC8959678          DOI: 10.1016/j.pbi.2020.01.003

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  55 in total

1.  Genome-Wide Transcription Factor Binding in Leaves from C3 and C4 Grasses.

Authors:  Steven J Burgess; Ivan Reyna-Llorens; Sean R Stevenson; Pallavi Singh; Katja Jaeger; Julian M Hibberd
Journal:  Plant Cell       Date:  2019-08-19       Impact factor: 11.277

Review 2.  Nuclease hypersensitive sites in chromatin.

Authors:  D S Gross; W T Garrard
Journal:  Annu Rev Biochem       Date:  1988       Impact factor: 23.643

3.  The landscape of accessible chromatin in mammalian preimplantation embryos.

Authors:  Jingyi Wu; Bo Huang; He Chen; Qiangzong Yin; Yang Liu; Yunlong Xiang; Bingjie Zhang; Bofeng Liu; Qiujun Wang; Weikun Xia; Wenzhi Li; Yuanyuan Li; Jing Ma; Xu Peng; Hui Zheng; Jia Ming; Wenhao Zhang; Jing Zhang; Geng Tian; Feng Xu; Zai Chang; Jie Na; Xuerui Yang; Wei Xie
Journal:  Nature       Date:  2016-06-15       Impact factor: 49.962

4.  Changes in chromatin accessibility between Arabidopsis stem cells and mesophyll cells illuminate cell type-specific transcription factor networks.

Authors:  Paja Sijacic; Marko Bajic; Elizabeth C McKinney; Richard B Meagher; Roger B Deal
Journal:  Plant J       Date:  2018-04       Impact factor: 6.417

5.  High-resolution mapping of open chromatin in the rice genome.

Authors:  Wenli Zhang; Yufeng Wu; James C Schnable; Zixian Zeng; Michael Freeling; Gregory E Crawford; Jiming Jiang
Journal:  Genome Res       Date:  2011-11-22       Impact factor: 9.043

6.  Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.

Authors:  Sven Heinz; Christopher Benner; Nathanael Spann; Eric Bertolino; Yin C Lin; Peter Laslo; Jason X Cheng; Cornelis Murre; Harinder Singh; Christopher K Glass
Journal:  Mol Cell       Date:  2010-05-28       Impact factor: 17.970

7.  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
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

8.  DNase footprint signatures are dictated by factor dynamics and DNA sequence.

Authors:  Myong-Hee Sung; Michael J Guertin; Songjoon Baek; Gordon L Hager
Journal:  Mol Cell       Date:  2014-09-18       Impact factor: 17.970

9.  A comparison of peak callers used for DNase-Seq data.

Authors:  Hashem Koohy; Thomas A Down; Mikhail Spivakov; Tim Hubbard
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

10.  Depletion of Abundant Sequences by Hybridization (DASH): using Cas9 to remove unwanted high-abundance species in sequencing libraries and molecular counting applications.

Authors:  W Gu; E D Crawford; B D O'Donovan; M R Wilson; E D Chow; H Retallack; J L DeRisi
Journal:  Genome Biol       Date:  2016-03-04       Impact factor: 13.583

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  4 in total

1.  Chromatin accessibility and translational landscapes of tea plants under chilling stress.

Authors:  Pengjie Wang; Shan Jin; Xuejin Chen; Liangyu Wu; Yucheng Zheng; Chuan Yue; Yongchun Guo; Xingtan Zhang; Jiangfan Yang; Naixing Ye
Journal:  Hortic Res       Date:  2021-05-01       Impact factor: 6.793

2.  Quality control and evaluation of plant epigenomics data.

Authors:  Robert J Schmitz; Alexandre P Marand; Xuan Zhang; Rebecca A Mosher; Franziska Turck; Xuemei Chen; Michael J Axtell; Xuehua Zhong; Siobhan M Brady; Molly Megraw; Blake C Meyers
Journal:  Plant Cell       Date:  2022-01-20       Impact factor: 11.277

Review 3.  Network-based approaches for understanding gene regulation and function in plants.

Authors:  Dae Kwan Ko; Federica Brandizzi
Journal:  Plant J       Date:  2020-08-28       Impact factor: 6.417

4.  Genome accessibility dynamics in response to phosphate limitation is controlled by the PHR1 family of transcription factors in Arabidopsis.

Authors:  Alfonso Carlos Barragán-Rosillo; Carlos Alberto Peralta-Alvarez; Jonathan Odilón Ojeda-Rivera; Rodrigo G Arzate-Mejía; Félix Recillas-Targa; Luis Herrera-Estrella
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-17       Impact factor: 11.205

  4 in total

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