Literature DB >> 31235917

Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility.

Caleb A Lareau1,2,3, Fabiana M Duarte1,2, Jennifer G Chew4, Vinay K Kartha1,2, Zach D Burkett4, Andrew S Kohlway4, Dmitry Pokholok5, Martin J Aryee1,3,6, Frank J Steemers5, Ronald Lebofsky7, Jason D Buenrostro8,9.   

Abstract

Recent technical advancements have facilitated the mapping of epigenomes at single-cell resolution; however, the throughput and quality of these methods have limited their widespread adoption. Here we describe a high-quality (105 nuclear fragments per cell) droplet-microfluidics-based method for single-cell profiling of chromatin accessibility. We use this approach, named 'droplet single-cell assay for transposase-accessible chromatin using sequencing' (dscATAC-seq), to assay 46,653 cells for the unbiased discovery of cell types and regulatory elements in adult mouse brain. We further increase the throughput of this platform by combining it with combinatorial indexing (dsciATAC-seq), enabling single-cell studies at a massive scale. We demonstrate the utility of this approach by measuring chromatin accessibility across 136,463 resting and stimulated human bone marrow-derived cells to reveal changes in the cis- and trans-regulatory landscape across cell types and under stimulatory conditions at single-cell resolution. Altogether, we describe a total of 510,123 single-cell profiles, demonstrating the scalability and flexibility of this droplet-based platform.

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Year:  2019        PMID: 31235917     DOI: 10.1038/s41587-019-0147-6

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  91 in total

Review 1.  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 2.  Prioritization of cell types responsive to biological perturbations in single-cell data with Augur.

Authors:  Jordan W Squair; Michael A Skinnider; Matthieu Gautier; Leonard J Foster; Grégoire Courtine
Journal:  Nat Protoc       Date:  2021-06-25       Impact factor: 13.491

Review 3.  The promise and reality of therapeutic discovery from large cohorts.

Authors:  Eugene Melamud; D Leland Taylor; Anurag Sethi; Madeleine Cule; Anastasia Baryshnikova; Danish Saleheen; Nick van Bruggen; Garret A FitzGerald
Journal:  J Clin Invest       Date:  2020-02-03       Impact factor: 14.808

Review 4.  The epigenetic basis of cellular heterogeneity.

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

5.  Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin.

Authors:  Sai Ma; Bing Zhang; Lindsay M LaFave; Andrew S Earl; Zachary Chiang; Yan Hu; Jiarui Ding; Alison Brack; Vinay K Kartha; Tristan Tay; Travis Law; Caleb Lareau; Ya-Chieh Hsu; Aviv Regev; Jason D Buenrostro
Journal:  Cell       Date:  2020-10-23       Impact factor: 41.582

6.  In situ genome sequencing resolves DNA sequence and structure in intact biological samples.

Authors:  Andrew C Payne; Zachary D Chiang; Paul L Reginato; Edward S Boyden; Jason D Buenrostro; Fei Chen; Sarah M Mangiameli; Evan M Murray; Chun-Chen Yao; Styliani Markoulaki; Andrew S Earl; Ajay S Labade; Rudolf Jaenisch; George M Church
Journal:  Science       Date:  2020-12-31       Impact factor: 47.728

7.  A human cell atlas of fetal chromatin accessibility.

Authors:  Silvia Domcke; Andrew J Hill; Riza M Daza; Junyue Cao; Diana R O'Day; Hannah A Pliner; Kimberly A Aldinger; Dmitry Pokholok; Fan Zhang; Jennifer H Milbank; Michael A Zager; Ian A Glass; Frank J Steemers; Dan Doherty; Cole Trapnell; Darren A Cusanovich; Jay Shendure
Journal:  Science       Date:  2020-11-13       Impact factor: 47.728

8.  Epigenomic State Transitions Characterize Tumor Progression in Mouse Lung Adenocarcinoma.

Authors:  Lindsay M LaFave; Vinay K Kartha; Sai Ma; Kevin Meli; Isabella Del Priore; Caleb Lareau; Santiago Naranjo; Peter M K Westcott; Fabiana M Duarte; Venkat Sankar; Zachary Chiang; Alison Brack; Travis Law; Haley Hauck; Annalisa Okimoto; Aviv Regev; Jason D Buenrostro; Tyler Jacks
Journal:  Cancer Cell       Date:  2020-07-23       Impact factor: 31.743

Review 9.  Advancing Cancer Research and Medicine with Single-Cell Genomics.

Authors:  Bora Lim; Yiyun Lin; Nicholas Navin
Journal:  Cancer Cell       Date:  2020-04-13       Impact factor: 31.743

10.  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

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