Literature DB >> 30078726

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

Hannah A Pliner1, Jonathan S Packer1, José L McFaline-Figueroa1, Darren A Cusanovich1, Riza M Daza1, Delasa Aghamirzaie1, Sanjay Srivatsan1, Xiaojie Qiu2, Dana Jackson1, Anna Minkina1, Andrew C Adey3, Frank J Steemers4, Jay Shendure5, Cole Trapnell6.   

Abstract

Linking regulatory DNA elements to their target genes, which may be located hundreds of kilobases away, remains challenging. Here, we introduce Cicero, an algorithm that identifies co-accessible pairs of DNA elements using single-cell chromatin accessibility data and so connects regulatory elements to their putative target genes. We apply Cicero to investigate how dynamically accessible elements orchestrate gene regulation in differentiating myoblasts. Groups of Cicero-linked regulatory elements meet criteria of "chromatin hubs"-they are enriched for physical proximity, interact with a common set of transcription factors, and undergo coordinated changes in histone marks that are predictive of changes in gene expression. Pseudotemporal analysis revealed that most DNA elements remain in chromatin hubs throughout differentiation. A subset of elements bound by MYOD1 in myoblasts exhibit early opening in a PBX1- and MEIS1-dependent manner. Our strategy can be applied to dissect the architecture, sequence determinants, and mechanisms of cis-regulation on a genome-wide scale.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  ATAC-seq; chromatin accessibility; co-accessibility; gene regulation; machine learning; myoblast differentiation; single-cell

Mesh:

Substances:

Year:  2018        PMID: 30078726      PMCID: PMC6582963          DOI: 10.1016/j.molcel.2018.06.044

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  163 in total

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Review 2.  Towards a comprehensive catalogue of validated and target-linked human enhancers.

Authors:  Molly Gasperini; Jacob M Tome; Jay Shendure
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3.  Comprehensive Integration of Single-Cell Data.

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Review 4.  Neuronal differentiation strategies: insights from single-cell sequencing and machine learning.

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Review 5.  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

6.  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

Review 7.  Regulatory landscape in brain development and disease.

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Journal:  Curr Opin Genet Dev       Date:  2020-06-18       Impact factor: 5.578

8.  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
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9.  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

10.  Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion.

Authors:  Ansuman T Satpathy; Jeffrey M Granja; Kathryn E Yost; Yanyan Qi; Francesca Meschi; Geoffrey P McDermott; Brett N Olsen; Maxwell R Mumbach; Sarah E Pierce; M Ryan Corces; Preyas Shah; Jason C Bell; Darisha Jhutty; Corey M Nemec; Jean Wang; Li Wang; Yifeng Yin; Paul G Giresi; Anne Lynn S Chang; Grace X Y Zheng; William J Greenleaf; Howard Y Chang
Journal:  Nat Biotechnol       Date:  2019-08-02       Impact factor: 54.908

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