Literature DB >> 33098772

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

Sai Ma1, Bing Zhang2, Lindsay M LaFave3, Andrew S Earl2, Zachary Chiang2, Yan Hu2, Jiarui Ding4, Alison Brack2, Vinay K Kartha2, Tristan Tay2, Travis Law4, Caleb Lareau5, Ya-Chieh Hsu2, Aviv Regev6, Jason D Buenrostro7.   

Abstract

Cell differentiation and function are regulated across multiple layers of gene regulation, including modulation of gene expression by changes in chromatin accessibility. However, differentiation is an asynchronous process precluding a temporal understanding of regulatory events leading to cell fate commitment. Here we developed simultaneous high-throughput ATAC and RNA expression with sequencing (SHARE-seq), a highly scalable approach for measurement of chromatin accessibility and gene expression in the same single cell, applicable to different tissues. Using 34,774 joint profiles from mouse skin, we develop a computational strategy to identify cis-regulatory interactions and define domains of regulatory chromatin (DORCs) that significantly overlap with super-enhancers. During lineage commitment, chromatin accessibility at DORCs precedes gene expression, suggesting that changes in chromatin accessibility may prime cells for lineage commitment. We computationally infer chromatin potential as a quantitative measure of chromatin lineage-priming and use it to predict cell fate outcomes. SHARE-seq is an extensible platform to study regulatory circuitry across diverse cells in tissues.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  epigenomics; gene regulation; single cell; skin; stem cell

Mesh:

Substances:

Year:  2020        PMID: 33098772      PMCID: PMC7669735          DOI: 10.1016/j.cell.2020.09.056

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  76 in total

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Journal:  Mol Cell       Date:  2010-05-28       Impact factor: 17.970

5.  Densely interconnected transcriptional circuits control cell states in human hematopoiesis.

Authors:  Noa Novershtern; Aravind Subramanian; Lee N Lawton; Raymond H Mak; W Nicholas Haining; Marie E McConkey; Naomi Habib; Nir Yosef; Cindy Y Chang; Tal Shay; Garrett M Frampton; Adam C B Drake; Ilya Leskov; Bjorn Nilsson; Fred Preffer; David Dombkowski; John W Evans; Ted Liefeld; John S Smutko; Jianzhu Chen; Nir Friedman; Richard A Young; Todd R Golub; Aviv Regev; Benjamin L Ebert
Journal:  Cell       Date:  2011-01-21       Impact factor: 41.582

6.  Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data.

Authors:  Hannah A Pliner; Jonathan S Packer; José L McFaline-Figueroa; Darren A Cusanovich; Riza M Daza; Delasa Aghamirzaie; Sanjay Srivatsan; Xiaojie Qiu; Dana Jackson; Anna Minkina; Andrew C Adey; Frank J Steemers; Jay Shendure; Cole Trapnell
Journal:  Mol Cell       Date:  2018-08-02       Impact factor: 17.970

7.  cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data.

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8.  An ultra high-throughput method for single-cell joint analysis of open chromatin and transcriptome.

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Journal:  Nat Struct Mol Biol       Date:  2019-11-06       Impact factor: 15.369

9.  Early enhancer establishment and regulatory locus complexity shape transcriptional programs in hematopoietic differentiation.

Authors:  Alvaro J González; Manu Setty; Christina S Leslie
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10.  Genomic encoding of transcriptional burst kinetics.

Authors:  Michael Hagemann-Jensen; Leonard Hartmanis; Anton J M Larsson; Per Johnsson; Omid R Faridani; Björn Reinius; Åsa Segerstolpe; Chloe M Rivera; Bing Ren; Rickard Sandberg
Journal:  Nature       Date:  2019-01-02       Impact factor: 49.962

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Review 7.  Computational principles and challenges in single-cell data integration.

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Review 8.  Stem cell-intrinsic mechanisms regulating adult hair follicle homeostasis.

Authors:  Seon A Lee; Kefei Nina Li; Tudorita Tumbar
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9.  Molecular logic of cellular diversification in the mouse cerebral cortex.

Authors:  Daniela J Di Bella; Ehsan Habibi; Robert R Stickels; Gabriele Scalia; Juliana Brown; Payman Yadollahpour; Sung Min Yang; Catherine Abbate; Tommaso Biancalani; Evan Z Macosko; Fei Chen; Aviv Regev; Paola Arlotta
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10.  Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma.

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