Literature DB >> 30532068

A chromatin integration labelling method enables epigenomic profiling with lower input.

Akihito Harada1, Kazumitsu Maehara1, Tetsuya Handa2, Yasuhiro Arimura3,4, Jumpei Nogami1, Yoko Hayashi-Takanaka5,6, Katsuhiko Shirahige4, Hitoshi Kurumizaka3,4, Hiroshi Kimura7,8, Yasuyuki Ohkawa9.   

Abstract

Chromatin plays a crucial role in gene regulation, and chromatin immunoprecipitation followed by sequencing (ChIP-seq) has been the standard technique for examining protein-DNA interactions across the whole genome. However, it is difficult to obtain epigenomic information from limited numbers of cells by ChIP-seq because of sample loss during chromatin preparation and inefficient immunoprecipitation. In this study, we established an immunoprecipitation-free epigenomic profiling method named chromatin integration labelling (ChIL), which enables the amplification of genomic sequences closely associated with the target molecules before cell lysis. Using ChIL followed by sequencing (ChIL-seq), we reliably detected the distributions of histone modifications and DNA-binding factors in 100-1,000 cells. In addition, ChIL-seq successfully detected genomic regions associated with histone marks at the single-cell level. Thus, ChIL-seq offers an alternative method to ChIP-seq for epigenomic profiling using small numbers of cells, in particular, those attached to culture plates and after immunofluorescence.

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Year:  2018        PMID: 30532068     DOI: 10.1038/s41556-018-0248-3

Source DB:  PubMed          Journal:  Nat Cell Biol        ISSN: 1465-7392            Impact factor:   28.824


  1 in total

1.  ChIC and ChEC; genomic mapping of chromatin proteins.

Authors:  Manfred Schmid; Thérèse Durussel; Ulrich K Laemmli
Journal:  Mol Cell       Date:  2004-10-08       Impact factor: 17.970

  1 in total
  47 in total

1.  Self-Reporting Transposons Enable Simultaneous Readout of Gene Expression and Transcription Factor Binding in Single Cells.

Authors:  Arnav Moudgil; Michael N Wilkinson; Xuhua Chen; June He; Alexander J Cammack; Michael J Vasek; Tomás Lagunas; Zongtai Qi; Matthew A Lalli; Chuner Guo; Samantha A Morris; Joseph D Dougherty; Robi D Mitra
Journal:  Cell       Date:  2020-07-24       Impact factor: 41.582

Review 2.  Mapping chromatin modifications at the single cell level.

Authors:  Connor H Ludwig; Lacramioara Bintu
Journal:  Development       Date:  2019-06-27       Impact factor: 6.868

Review 3.  Genome-wide and sister chromatid-resolved profiling of protein occupancy in replicated chromatin with ChOR-seq and SCAR-seq.

Authors:  Nataliya Petryk; Nazaret Reverón-Gómez; Cristina González-Aguilera; Maria Dalby; Robin Andersson; Anja Groth
Journal:  Nat Protoc       Date:  2021-08-06       Impact factor: 13.491

4.  Multiplexed Imaging of Posttranslational Modifications of Endogenous Proteins in Live Cells.

Authors:  Yuko Sato; Hiroshi Kimura
Journal:  Methods Mol Biol       Date:  2021

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.  Active turnover of DNA methylation during cell fate decisions.

Authors:  Aled Parry; Steffen Rulands; Wolf Reik
Journal:  Nat Rev Genet       Date:  2020-10-06       Impact factor: 53.242

Review 7.  EvoChromo: towards a synthesis of chromatin biology and evolution.

Authors:  Ines A Drinnenberg; Frédéric Berger; Simon J Elsässer; Peter R Andersen; Juan Ausió; Wendy A Bickmore; Alexander R Blackwell; Douglas H Erwin; James M Gahan; Brandon S Gaut; Zachary H Harvey; Steven Henikoff; Joyce Y Kao; Siavash K Kurdistani; Bernardo Lemos; Mia T Levine; Karolin Luger; Harmit S Malik; José M Martín-Durán; Catherine L Peichel; Marilyn B Renfree; Kinga Rutowicz; Peter Sarkies; Robert J Schmitz; Ulrich Technau; Joseph W Thornton; Tobias Warnecke; Kenneth H Wolfe
Journal:  Development       Date:  2019-09-26       Impact factor: 6.868

8.  Profiling chromatin states using single-cell itChIP-seq.

Authors:  Shanshan Ai; Haiqing Xiong; Chen C Li; Yingjie Luo; Qiang Shi; Yaxi Liu; Xianhong Yu; Cheng Li; Aibin He
Journal:  Nat Cell Biol       Date:  2019-09-03       Impact factor: 28.824

Review 9.  Transcription factor chromatin profiling genome-wide using uliCUT&RUN in single cells and individual blastocysts.

Authors:  Benjamin J Patty; Sarah J Hainer
Journal:  Nat Protoc       Date:  2021-04-28       Impact factor: 13.491

10.  Efficient low-cost chromatin profiling with CUT&Tag.

Authors:  Hatice S Kaya-Okur; Derek H Janssens; Jorja G Henikoff; Kami Ahmad; Steven Henikoff
Journal:  Nat Protoc       Date:  2020-09-10       Impact factor: 13.491

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