Literature DB >> 25204781

Single molecule and single cell epigenomics.

Byung-Ryool Hyun1, John L McElwee1, Paul D Soloway2.   

Abstract

Dynamically regulated changes in chromatin states are vital for normal development and can produce disease when they go awry. Accordingly, much effort has been devoted to characterizing these states under normal and pathological conditions. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is the most widely used method to characterize where in the genome transcription factors, modified histones, modified nucleotides and chromatin binding proteins are found; bisulfite sequencing (BS-seq) and its variants are commonly used to characterize the locations of DNA modifications. Though very powerful, these methods are not without limitations. Notably, they are best at characterizing one chromatin feature at a time, yet chromatin features arise and function in combination. Investigators commonly superimpose separate ChIP-seq or BS-seq datasets, and then infer where chromatin features are found together. While these inferences might be correct, they can be misleading when the chromatin source has distinct cell types, or when a given cell type exhibits any cell to cell variation in chromatin state. These ambiguities can be eliminated by robust methods that directly characterize the existence and genomic locations of combinations of chromatin features in very small inputs of cells or ideally, single cells. Here we review single molecule epigenomic methods under development to overcome these limitations, the technical challenges associated with single molecule methods and their potential application to single cells.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Epigenetics; Epigenomics; Microfluidics; Nanofluidics; Single cell; Single molecule

Mesh:

Year:  2014        PMID: 25204781      PMCID: PMC4300266          DOI: 10.1016/j.ymeth.2014.08.015

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  166 in total

1.  Transcription factor FoxA (HNF3) on a nucleosome at an enhancer complex in liver chromatin.

Authors:  D Chaya; T Hayamizu; M Bustin; K S Zaret
Journal:  J Biol Chem       Date:  2001-09-24       Impact factor: 5.157

2.  Non-destructive handling of individual chromatin fibers isolated from single cells in a microfluidic device utilizing an optically driven microtool.

Authors:  Hidehiro Oana; Kaori Nishikawa; Hirotada Matsuhara; Ayumu Yamamoto; Takaharu G Yamamoto; Tokuko Haraguchi; Yasushi Hiraoka; Masao Washizu
Journal:  Lab Chip       Date:  2014-02-21       Impact factor: 6.799

3.  The dermatomyositis-specific autoantigen Mi2 is a component of a complex containing histone deacetylase and nucleosome remodeling activities.

Authors:  Y Zhang; G LeRoy; H P Seelig; W S Lane; D Reinberg
Journal:  Cell       Date:  1998-10-16       Impact factor: 41.582

4.  High-throughput chromatin immunoprecipitation for genome-wide mapping of in vivo protein-DNA interactions and epigenomic states.

Authors:  Ronnie Blecher-Gonen; Zohar Barnett-Itzhaki; Diego Jaitin; Daniela Amann-Zalcenstein; David Lara-Astiaso; Ido Amit
Journal:  Nat Protoc       Date:  2013-02-21       Impact factor: 13.491

5.  Computational methodology for ChIP-seq analysis.

Authors:  Hyunjin Shin; Tao Liu; Xikun Duan; Yong Zhang; X Shirley Liu
Journal:  Quant Biol       Date:  2013-03-01

6.  Identification of 67 histone marks and histone lysine crotonylation as a new type of histone modification.

Authors:  Minjia Tan; Hao Luo; Sangkyu Lee; Fulai Jin; Jeong Soo Yang; Emilie Montellier; Thierry Buchou; Zhongyi Cheng; Sophie Rousseaux; Nisha Rajagopal; Zhike Lu; Zhen Ye; Qin Zhu; Joanna Wysocka; Yang Ye; Saadi Khochbin; Bing Ren; Yingming Zhao
Journal:  Cell       Date:  2011-09-16       Impact factor: 41.582

Review 7.  Mutations in regulators of the epigenome and their connections to global chromatin patterns in cancer.

Authors:  Christoph Plass; Stefan M Pfister; Anders M Lindroth; Olga Bogatyrova; Rainer Claus; Peter Lichter
Journal:  Nat Rev Genet       Date:  2013-10-09       Impact factor: 53.242

8.  Ultra-low-input, tagmentation-based whole-genome bisulfite sequencing.

Authors:  Andrew Adey; Jay Shendure
Journal:  Genome Res       Date:  2012-03-30       Impact factor: 9.043

Review 9.  Identification and interrogation of combinatorial histone modifications.

Authors:  Kelly R Karch; Jamie E Denizio; Ben E Black; Benjamin A Garcia
Journal:  Front Genet       Date:  2013-12-20       Impact factor: 4.599

10.  Design and analysis of ChIP-seq experiments for DNA-binding proteins.

Authors:  Peter V Kharchenko; Michael Y Tolstorukov; Peter J Park
Journal:  Nat Biotechnol       Date:  2008-11-16       Impact factor: 54.908

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  18 in total

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Authors:  Nicola Crosetto; Magda Bienko; Alexander van Oudenaarden
Journal:  Nat Rev Genet       Date:  2014-12-02       Impact factor: 53.242

Review 2.  Epigenetic mechanisms underlying nervous system diseases.

Authors:  Irfan A Qureshi; Mark F Mehler
Journal:  Handb Clin Neurol       Date:  2018

3.  Genome-Wide Epigenetic Studies in Human Disease: A Primer on -Omic Technologies.

Authors:  Huihuang Yan; Shulan Tian; Susan L Slager; Zhifu Sun; Tamas Ordog
Journal:  Am J Epidemiol       Date:  2015-12-30       Impact factor: 4.897

4.  reChIP-seq reveals widespread bivalency of H3K4me3 and H3K27me3 in CD4(+) memory T cells.

Authors:  Sarah Kinkley; Johannes Helmuth; Julia K Polansky; Ilona Dunkel; Gilles Gasparoni; Sebastian Fröhler; Wei Chen; Jörn Walter; Alf Hamann; Ho-Ryun Chung
Journal:  Nat Commun       Date:  2016-08-17       Impact factor: 14.919

Review 5.  Cytosine Methylation Studies in Patients with Diabetic Kidney Disease.

Authors:  Tamas Aranyi; Katalin Susztak
Journal:  Curr Diab Rep       Date:  2019-08-30       Impact factor: 4.810

Review 6.  Omics Profiling in Precision Oncology.

Authors:  Kun-Hsing Yu; Michael Snyder
Journal:  Mol Cell Proteomics       Date:  2016-04-20       Impact factor: 5.911

Review 7.  Analysis of single nucleic acid molecules in micro- and nano-fluidics.

Authors:  Sarah M Friedrich; Helena C Zec; Tza-Huei Wang
Journal:  Lab Chip       Date:  2016-03-07       Impact factor: 6.799

Review 8.  Precision medicine based on epigenomics: the paradigm of carcinoma of unknown primary.

Authors:  Sebastián Moran; Anna Martinez-Cardús; Stergios Boussios; Manel Esteller
Journal:  Nat Rev Clin Oncol       Date:  2017-07-04       Impact factor: 66.675

Review 9.  Using single cell analysis for translational studies in immune mediated diseases: Opportunities and challenges.

Authors:  Siddhartha Sharma; Louis Gioia; Brian Abe; Marie Holt; Anne Costanzo; Lisa Kain; Andrew Su; Luc Teyton
Journal:  Mol Immunol       Date:  2018-10-06       Impact factor: 4.407

Review 10.  Analytical epigenetics: single-molecule optical detection of DNA and histone modifications.

Authors:  Christian Heck; Yael Michaeli; Ilko Bald; Yuval Ebenstein
Journal:  Curr Opin Biotechnol       Date:  2018-10-13       Impact factor: 9.740

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