Literature DB >> 33693880

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

Weiwu Gao1,2,3, Wai Lim Ku1, Lixia Pan1, Jonathan Perrie1, Tingting Zhao4, Gangqing Hu1, Yuzhang Wu2, Jun Zhu1, Bing Ni2,3, Keji Zhao1.   

Abstract

Single cell chromatin accessibility assays reveal epigenomic variability at cis-regulatory elements among individual cells. We previously developed a single-cell DNase-seq assay (scDNase-seq) to profile accessible chromatin in a limited number of single cells. Here, we report a novel indexing strategy to resolve single-cell DNase hypersensitivity profiles based on bulk cell analysis. This new technique, termed indexing single-cell DNase sequencing (iscDNase-seq), employs the activities of terminal DNA transferase (TdT) and T4 DNA ligase to add unique cell barcodes to DNase-digested chromatin ends. By a three-layer indexing strategy, it allows profiling genome-wide DHSs for >15 000 single-cells in a single experiment. Application of iscDNase-seq to human white blood cells accurately revealed specific cell types and inferred regulatory transcription factors (TF) specific to each cell type. We found that iscDNase-seq detected DHSs with specific properties related to gene expression and conservation missed by scATAC-seq for the same cell type. Also, we found that the cell-to-cell variation in accessibility computed using iscDNase-seq data is significantly correlated with the cell-to-cell variation in gene expression. Importantly, this correlation is significantly higher than that between scATAC-seq and scRNA-seq, suggesting that iscDNase-seq data can better predict the cellular heterogeneity in gene expression compared to scATAC-seq. Thus, iscDNase-seq is an attractive alternative method for single-cell epigenomics studies.
© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2021        PMID: 33693880      PMCID: PMC8191781          DOI: 10.1093/nar/gkab102

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  31 in total

1.  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

2.  DNA helix: the importance of being AT-rich.

Authors:  A E Vinogradov; O V Anatskaya
Journal:  Mamm Genome       Date:  2017-08-23       Impact factor: 2.957

3.  Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

Authors:  Anoop P Patel; Itay Tirosh; John J Trombetta; Alex K Shalek; Shawn M Gillespie; Hiroaki Wakimoto; Daniel P Cahill; Brian V Nahed; William T Curry; Robert L Martuza; David N Louis; Orit Rozenblatt-Rosen; Mario L Suvà; Aviv Regev; Bradley E Bernstein
Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

4.  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

5.  Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.

Authors:  Darren A Cusanovich; Riza Daza; Andrew Adey; Hannah A Pliner; Lena Christiansen; Kevin L Gunderson; Frank J Steemers; Cole Trapnell; Jay Shendure
Journal:  Science       Date:  2015-05-07       Impact factor: 47.728

6.  Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data.

Authors:  Robert C McLeay; Timothy L Bailey
Journal:  BMC Bioinformatics       Date:  2010-04-01       Impact factor: 3.169

7.  IRF8 regulates B-cell lineage specification, commitment, and differentiation.

Authors:  Hongsheng Wang; Chang Hoon Lee; Chenfeng Qi; Prafullakumar Tailor; Jianxun Feng; Sadia Abbasi; Toru Atsumi; Herbert C Morse
Journal:  Blood       Date:  2008-09-17       Impact factor: 22.113

8.  PHAST: a fast phage search tool.

Authors:  You Zhou; Yongjie Liang; Karlene H Lynch; Jonathan J Dennis; David S Wishart
Journal:  Nucleic Acids Res       Date:  2011-06-14       Impact factor: 16.971

9.  High-throughput chromatin accessibility profiling at single-cell resolution.

Authors:  Anja Mezger; Sandy Klemm; Ishminder Mann; Kara Brower; Alain Mir; Magnolia Bostick; Andrew Farmer; Polly Fordyce; Sten Linnarsson; William Greenleaf
Journal:  Nat Commun       Date:  2018-09-07       Impact factor: 14.919

10.  Reproducible inference of transcription factor footprints in ATAC-seq and DNase-seq datasets using protocol-specific bias modeling.

Authors:  Aslıhan Karabacak Calviello; Antje Hirsekorn; Ricardo Wurmus; Dilmurat Yusuf; Uwe Ohler
Journal:  Genome Biol       Date:  2019-02-21       Impact factor: 13.583

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  2 in total

Review 1.  Characterizing cis-regulatory elements using single-cell epigenomics.

Authors:  Sebastian Preissl; Kyle J Gaulton; Bing Ren
Journal:  Nat Rev Genet       Date:  2022-07-15       Impact factor: 59.581

2.  Profiling single-cell histone modifications using indexing chromatin immunocleavage sequencing.

Authors:  Wai Lim Ku; Lixia Pan; Yaqiang Cao; Weiwu Gao; Keji Zhao
Journal:  Genome Res       Date:  2021-04-14       Impact factor: 9.043

  2 in total

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