Literature DB >> 30258225

Principles of nucleosome organization revealed by single-cell micrococcal nuclease sequencing.

Binbin Lai1, Weiwu Gao1,2, Kairong Cui1, Wanli Xie1,3, Qingsong Tang1, Wenfei Jin4, Gangqing Hu1, Bing Ni2, Keji Zhao5.   

Abstract

Nucleosome positioning is critical to chromatin accessibility and is associated with gene expression programs in cells1-3. Previous nucleosome mapping methods assemble profiles from cell populations and reveal a cell-averaged pattern: nucleosomes are positioned and form a phased array that surrounds the transcription start sites of active genes3-6 and DNase I hypersensitive sites7. However, even in a homogenous population of cells, cells exhibit heterogeneity in expression in response to active signalling8,9 that may be related to heterogeneity in chromatin accessibility10-12. Here we report a technique, termed single-cell micrococcal nuclease sequencing (scMNase-seq), that can be used to simultaneously measure genome-wide nucleosome positioning and chromatin accessibility in single cells. Application of scMNase-seq to NIH3T3 cells, mouse primary naive CD4 T cells and mouse embryonic stem cells reveals two principles of nucleosome organization: first, nucleosomes in heterochromatin regions, or that surround the transcription start sites of silent genes, show large variation in positioning across different cells but are highly uniformly spaced along the nucleosome array; and second, nucleosomes that surround the transcription start sites of active genes and DNase I hypersensitive sites show little variation in positioning across different cells but are relatively heterogeneously spaced along the nucleosome array. We found a bimodal distribution of nucleosome spacing at DNase I hypersensitive sites, which corresponds to inaccessible and accessible states and is associated with nucleosome variation and variation in accessibility across cells. Nucleosome variation is smaller within single cells than across cells, and smaller within the same cell type than across cell types. A large fraction of naive CD4 T cells and mouse embryonic stem cells shows depleted nucleosome occupancy at the de novo enhancers detected in their respective differentiated lineages, revealing the existence of cells primed for differentiation to specific lineages in undifferentiated cell populations.

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Year:  2018        PMID: 30258225     DOI: 10.1038/s41586-018-0567-3

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  43 in total

Review 1.  Epigenetic reprogramming of immune cells in injury, repair, and resolution.

Authors:  Katarzyna Placek; Joachim L Schultze; Anna C Aschenbrenner
Journal:  J Clin Invest       Date:  2019-07-22       Impact factor: 14.808

2.  Single-cell joint detection of chromatin occupancy and transcriptome enables higher-dimensional epigenomic reconstructions.

Authors:  Haiqing Xiong; Yingjie Luo; Qianhao Wang; Xianhong Yu; Aibin He
Journal:  Nat Methods       Date:  2021-05-06       Impact factor: 28.547

3.  Single-cell chromatin immunocleavage sequencing (scChIC-seq) to profile histone modification.

Authors:  Wai Lim Ku; Kosuke Nakamura; Weiwu Gao; Kairong Cui; Gangqing Hu; Qingsong Tang; Bing Ni; Keji Zhao
Journal:  Nat Methods       Date:  2019-03-28       Impact factor: 28.547

Review 4.  A plate-based single-cell ATAC-seq workflow for fast and robust profiling of chromatin accessibility.

Authors:  Wei Xu; Yi Wen; Yingying Liang; Qiushi Xu; Xuefei Wang; Wenfei Jin; Xi Chen
Journal:  Nat Protoc       Date:  2021-07-19       Impact factor: 13.491

Review 5.  The epigenetic basis of cellular heterogeneity.

Authors:  Benjamin Carter; Keji Zhao
Journal:  Nat Rev Genet       Date:  2020-11-26       Impact factor: 53.242

Review 6.  Beads on a string-nucleosome array arrangements and folding of the chromatin fiber.

Authors:  Sandro Baldi; Philipp Korber; Peter B Becker
Journal:  Nat Struct Mol Biol       Date:  2020-02-10       Impact factor: 15.369

Review 7.  Tools and Concepts for Interrogating and Defining Cellular Identity.

Authors:  Kara L McKinley; David Castillo-Azofeifa; Ophir D Klein
Journal:  Cell Stem Cell       Date:  2020-05-07       Impact factor: 24.633

8.  Multiplex indexing approach for the detection of DNase I hypersensitive sites in single cells.

Authors:  Weiwu Gao; Wai Lim Ku; Lixia Pan; Jonathan Perrie; Tingting Zhao; Gangqing Hu; Yuzhang Wu; Jun Zhu; Bing Ni; Keji Zhao
Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

9.  Unique and assay specific features of NOMe-, ATAC- and DNase I-seq data.

Authors:  Karl J V Nordström; Florian Schmidt; Nina Gasparoni; Abdulrahman Salhab; Gilles Gasparoni; Kathrin Kattler; Fabian Müller; Peter Ebert; Ivan G Costa; Nico Pfeifer; Thomas Lengauer; Marcel H Schulz; Jörn Walter
Journal:  Nucleic Acids Res       Date:  2019-11-18       Impact factor: 16.971

10.  Pioneer Factor-Nucleosome Binding Events during Differentiation Are Motif Encoded.

Authors:  Michael P Meers; Derek H Janssens; Steven Henikoff
Journal:  Mol Cell       Date:  2019-06-25       Impact factor: 17.970

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