Literature DB >> 33958790

Single-cell joint detection of chromatin occupancy and transcriptome enables higher-dimensional epigenomic reconstructions.

Haiqing Xiong1, Yingjie Luo1, Qianhao Wang1, Xianhong Yu1, Aibin He2.   

Abstract

Deciphering mechanisms in cell-fate decisions requires single-cell holistic reconstructions of multidimensional epigenomic states in transcriptional regulation. Here we develop CoTECH, a combinatorial barcoding method allowing high-throughput single-cell joint detection of chromatin occupancy and transcriptome. We used CoTECH to examine bivalent histone marks (H3K4me3 and H3K27me3) with transcription from naive to primed mouse embryonic stem cells. We also derived concurrent bivalent marks in pseudosingle cells using transcriptome as an anchor for resolving pseudotemporal bivalency trajectories and disentangling a context-specific interplay between H3K4me3/H3K27me3 and transcription level. Next, we revealed the regulatory basis of endothelial-to-hematopoietic transition in two waves of hematopoietic cells and distinctive enhancer-gene-linking schemes guiding hemogenic endothelial cell emergence, indicating a unique epigenetic control of transcriptional regulation for hematopoietic stem cell priming. CoTECH provides an efficient framework for single-cell coassay of chromatin occupancy and transcription, thus enabling higher-dimensional epigenomic reconstructions.

Entities:  

Year:  2021        PMID: 33958790     DOI: 10.1038/s41592-021-01129-z

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  61 in total

1.  The Transcriptome and DNA Methylome Landscapes of Human Primordial Germ Cells.

Authors:  Fan Guo; Liying Yan; Hongshan Guo; Lin Li; Boqiang Hu; Yangyu Zhao; Jun Yong; Yuqiong Hu; Xiaoye Wang; Yuan Wei; Wei Wang; Rong Li; Jie Yan; Xu Zhi; Yan Zhang; Hongyan Jin; Wenxin Zhang; Yu Hou; Ping Zhu; Jingyun Li; Ling Zhang; Sirui Liu; Yixin Ren; Xiaohui Zhu; Lu Wen; Yi Qin Gao; Fuchou Tang; Jie Qiao
Journal:  Cell       Date:  2015-06-04       Impact factor: 41.582

2.  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

3.  Computational methods for single-cell omics across modalities.

Authors:  Mirjana Efremova; Sarah A Teichmann
Journal:  Nat Methods       Date:  2020-01       Impact factor: 28.547

4.  Profiling chromatin states using single-cell itChIP-seq.

Authors:  Shanshan Ai; Haiqing Xiong; Chen C Li; Yingjie Luo; Qiang Shi; Yaxi Liu; Xianhong Yu; Cheng Li; Aibin He
Journal:  Nat Cell Biol       Date:  2019-09-03       Impact factor: 28.824

5.  CoBATCH for High-Throughput Single-Cell Epigenomic Profiling.

Authors:  Qianhao Wang; Haiqing Xiong; Shanshan Ai; Xianhong Yu; Yaxi Liu; Jiejie Zhang; Aibin He
Journal:  Mol Cell       Date:  2019-08-27       Impact factor: 17.970

6.  Principles of nucleosome organization revealed by single-cell micrococcal nuclease sequencing.

Authors:  Binbin Lai; Weiwu Gao; Kairong Cui; Wanli Xie; Qingsong Tang; Wenfei Jin; Gangqing Hu; Bing Ni; Keji Zhao
Journal:  Nature       Date:  2018-09-26       Impact factor: 49.962

7.  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

8.  CUT&Tag for efficient epigenomic profiling of small samples and single cells.

Authors:  Hatice S Kaya-Okur; Steven J Wu; Christine A Codomo; Erica S Pledger; Terri D Bryson; Jorja G Henikoff; Kami Ahmad; Steven Henikoff
Journal:  Nat Commun       Date:  2019-04-29       Impact factor: 14.919

9.  Single-cell Hi-C reveals cell-to-cell variability in chromosome structure.

Authors:  Takashi Nagano; Yaniv Lubling; Tim J Stevens; Stefan Schoenfelder; Eitan Yaffe; Wendy Dean; Ernest D Laue; Amos Tanay; Peter Fraser
Journal:  Nature       Date:  2013-09-25       Impact factor: 49.962

10.  Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state.

Authors:  Assaf Rotem; Oren Ram; Noam Shoresh; Ralph A Sperling; Alon Goren; David A Weitz; Bradley E Bernstein
Journal:  Nat Biotechnol       Date:  2015-10-12       Impact factor: 54.908

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  13 in total

1.  Simultaneous profiling of multiple chromatin proteins in the same cells.

Authors:  Sneha Gopalan; Yuqing Wang; Nicholas W Harper; Manuel Garber; Thomas G Fazzio
Journal:  Mol Cell       Date:  2021-10-11       Impact factor: 17.970

Review 2.  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

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

Authors:  Wei Xu; Weilong Yang; Yunlong Zhang; Yawen Chen; Ni Hong; Qian Zhang; Xuefei Wang; Yukun Hu; Kun Song; Wenfei Jin; Xi Chen
Journal:  Nat Methods       Date:  2022-09-15       Impact factor: 47.990

4.  Multiomic chromatin and transcription profiling with EpiDamID.

Authors:  Sneha Gopalan; Thomas G Fazzio
Journal:  Cell Rep Methods       Date:  2022-05-23

Review 5.  How a cell decides its own fate: a single-cell view of molecular mechanisms and dynamics of cell-type specification.

Authors:  Maria Mircea; Stefan Semrau
Journal:  Biochem Soc Trans       Date:  2021-12-17       Impact factor: 5.407

Review 6.  Tagmentation-based single-cell genomics.

Authors:  Andrew C Adey
Journal:  Genome Res       Date:  2021-10       Impact factor: 9.043

7.  Applications of single-cell genomics and computational strategies to study common disease and population-level variation.

Authors:  Benjamin J Auerbach; Jian Hu; Muredach P Reilly; Mingyao Li
Journal:  Genome Res       Date:  2021-10       Impact factor: 9.043

Review 8.  Single-Cell Multiomics Techniques: From Conception to Applications.

Authors:  Maria A Dimitriu; Irina Lazar-Contes; Martin Roszkowski; Isabelle M Mansuy
Journal:  Front Cell Dev Biol       Date:  2022-03-21

9.  Single-cell profiling of transcriptome and histone modifications with EpiDamID.

Authors:  Franka J Rang; Kim L de Luca; Sandra S de Vries; Christian Valdes-Quezada; Ellen Boele; Phong D Nguyen; Isabel Guerreiro; Yuko Sato; Hiroshi Kimura; Jeroen Bakkers; Jop Kind
Journal:  Mol Cell       Date:  2022-04-01       Impact factor: 19.328

10.  Characterizing cellular heterogeneity in chromatin state with scCUT&Tag-pro.

Authors:  Bingjie Zhang; Avi Srivastava; Eleni Mimitou; Tim Stuart; Ivan Raimondi; Yuhan Hao; Peter Smibert; Rahul Satija
Journal:  Nat Biotechnol       Date:  2022-03-24       Impact factor: 68.164

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