Literature DB >> 33853847

Profiling single-cell histone modifications using indexing chromatin immunocleavage sequencing.

Wai Lim Ku1, Lixia Pan1, Yaqiang Cao1, Weiwu Gao1, Keji Zhao1.   

Abstract

Recently, multiple single-cell assays were developed for detecting histone marks at the single-cell level. These techniques are either limited by the low cell throughput or sparse reads which limit their applications. To address these problems, we introduce indexing single-cell immunocleavage sequencing (iscChIC-seq), a multiplex indexing method based on TdT terminal transferase and T4 DNA ligase-mediated barcoding strategy and single-cell ChIC-seq, which is capable of readily analyzing histone modifications across tens of thousands of single cells in one experiment. Application of iscChIC-seq to profiling H3K4me3 and H3K27me3 in human white blood cells (WBCs) enabled successful detection of more than 10,000 single cells for each histone modification with 11 K and 45 K nonredundant reads per cell, respectively. Cluster analysis of these data allowed identification of monocytes, T cells, B cells, and NK cells from WBCs. The cell types annotated from H3K4me3 single-cell data are specifically correlated with the cell types annotated from H3K27me3 single-cell data. Our data indicate that iscChIC-seq is a reliable technique for profiling histone modifications in a large number of single cells, which may find broad applications in studying cellular heterogeneity and differentiation status in complex developmental and disease systems. Published by Cold Spring Harbor Laboratory Press.

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Year:  2021        PMID: 33853847      PMCID: PMC8494230          DOI: 10.1101/gr.260893.120

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  32 in total

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Journal:  Nat Cell Biol       Date:  2018-12-10       Impact factor: 28.824

4.  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
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5.  High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer.

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6.  Fast gapped-read alignment with Bowtie 2.

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8.  Multiplex indexing approach for the detection of DNase I hypersensitive sites in single cells.

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Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

9.  Genome-wide mapping of in vivo protein-DNA interactions.

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10.  SC3: consensus clustering of single-cell RNA-seq data.

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  6 in total

1.  cLoops2: a full-stack comprehensive analytical tool for chromatin interactions.

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Review 2.  Characterizing cis-regulatory elements using single-cell epigenomics.

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3.  scPCOR-seq enables co-profiling of chromatin occupancy and RNAs in single cells.

Authors:  Lixia Pan; Wai Lim Ku; Qingsong Tang; Yaqiang Cao; Keji Zhao
Journal:  Commun Biol       Date:  2022-07-08

4.  High-throughput single-cell epigenomic profiling by targeted insertion of promoters (TIP-seq).

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Review 5.  Advances in Multi-Omics Study of Prognostic Biomarkers of Diffuse Large B-Cell Lymphoma.

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Review 6.  The dynamic broad epigenetic (H3K4me3, H3K27ac) domain as a mark of essential genes.

Authors:  Tasnim H Beacon; Geneviève P Delcuve; Camila López; Gino Nardocci; Igor Kovalchuk; Andre J van Wijnen; James R Davie
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  6 in total

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