Literature DB >> 36109677

ISSAAC-seq enables sensitive and flexible multimodal profiling of chromatin accessibility and gene expression in single cells.

Wei Xu1, Weilong Yang1, Yunlong Zhang1, Yawen Chen1,2, Ni Hong1, Qian Zhang1, Xuefei Wang1, Yukun Hu1, Kun Song1,2, Wenfei Jin3, Xi Chen4.   

Abstract

Joint profiling of chromatin accessibility and gene expression from the same single cell provides critical information about cell types in a tissue and cell states during a dynamic process. Here, we develop in situ sequencing hetero RNA-DNA-hybrid after assay for transposase-accessible chromatin-sequencing (ISSAAC-seq), a highly sensitive and flexible single-cell multi-omics method to interrogate chromatin accessibility and gene expression from the same single nucleus. We demonstrated that ISSAAC-seq is sensitive and provides high quality data with orders of magnitude more features than existing methods. Using the joint profiles from over 10,000 nuclei from the mouse cerebral cortex, we uncovered major and rare cell types and cell-type specific regulatory elements and identified heterogeneity at the chromatin level within established cell types defined by gene expression. Finally, we revealed distinct dynamics and relationships of gene expression and chromatin accessibility during an oligodendrocyte maturation trajectory.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2022        PMID: 36109677     DOI: 10.1038/s41592-022-01601-4

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   47.990


  49 in total

1.  Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.

Authors:  Allon M Klein; Linas Mazutis; Ilke Akartuna; Naren Tallapragada; Adrian Veres; Victor Li; Leonid Peshkin; David A Weitz; Marc W Kirschner
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

2.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

3.  Single-cell RNA counting at allele and isoform resolution using Smart-seq3.

Authors:  Michael Hagemann-Jensen; Christoph Ziegenhain; Ping Chen; Daniel Ramsköld; Gert-Jan Hendriks; Anton J M Larsson; Omid R Faridani; Rickard Sandberg
Journal:  Nat Biotechnol       Date:  2020-05-04       Impact factor: 54.908

4.  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

5.  mRNA-Seq whole-transcriptome analysis of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; John Bodeau; Brian B Tuch; Asim Siddiqui; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2009-04-06       Impact factor: 28.547

6.  Single-cell chromatin accessibility reveals principles of regulatory variation.

Authors:  Jason D Buenrostro; Beijing Wu; Ulrike M Litzenburger; Dave Ruff; Michael L Gonzales; Michael P Snyder; Howard Y Chang; William J Greenleaf
Journal:  Nature       Date:  2015-06-17       Impact factor: 49.962

7.  Massively parallel digital transcriptional profiling of single cells.

Authors:  Grace X Y Zheng; Jessica M Terry; Phillip Belgrader; Paul Ryvkin; Zachary W Bent; Ryan Wilson; Solongo B Ziraldo; Tobias D Wheeler; Geoff P McDermott; Junjie Zhu; Mark T Gregory; Joe Shuga; Luz Montesclaros; Jason G Underwood; Donald A Masquelier; Stefanie Y Nishimura; Michael Schnall-Levin; Paul W Wyatt; Christopher M Hindson; Rajiv Bharadwaj; Alexander Wong; Kevin D Ness; Lan W Beppu; H Joachim Deeg; Christopher McFarland; Keith R Loeb; William J Valente; Nolan G Ericson; Emily A Stevens; Jerald P Radich; Tarjei S Mikkelsen; Benjamin J Hindson; Jason H Bielas
Journal:  Nat Commun       Date:  2017-01-16       Impact factor: 14.919

8.  A rapid and robust method for single cell chromatin accessibility profiling.

Authors:  Xi Chen; Ricardo J Miragaia; Kedar Nath Natarajan; Sarah A Teichmann
Journal:  Nat Commun       Date:  2018-12-17       Impact factor: 14.919

9.  The single-cell transcriptional landscape of mammalian organogenesis.

Authors:  Junyue Cao; Malte Spielmann; Xiaojie Qiu; Xingfan Huang; Daniel M Ibrahim; Andrew J Hill; Fan Zhang; Stefan Mundlos; Lena Christiansen; Frank J Steemers; Cole Trapnell; Jay Shendure
Journal:  Nature       Date:  2019-02-20       Impact factor: 49.962

10.  Joint single-cell DNA accessibility and protein epitope profiling reveals environmental regulation of epigenomic heterogeneity.

Authors:  Xingqi Chen; Ulrike M Litzenburger; Yuning Wei; Alicia N Schep; Edward L LaGory; Hani Choudhry; Amato J Giaccia; William J Greenleaf; Howard Y Chang
Journal:  Nat Commun       Date:  2018-11-02       Impact factor: 14.919

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