Literature DB >> 27525975

Single-cell multimodal profiling reveals cellular epigenetic heterogeneity.

Lih Feng Cheow1, Elise T Courtois2, Yuliana Tan2, Ramya Viswanathan1, Qiaorui Xing1,3, Rui Zhen Tan4, Daniel S W Tan2,5, Paul Robson2,6,7, Yuin-Han Loh1,6, Stephen R Quake8,9, William F Burkholder1.   

Abstract

Sample heterogeneity often masks DNA methylation signatures in subpopulations of cells. Here, we present a method to genotype single cells while simultaneously interrogating gene expression and DNA methylation at multiple loci. We used this targeted multimodal approach, implemented on an automated, high-throughput microfluidic platform, to assess primary lung adenocarcinomas and human fibroblasts undergoing reprogramming by profiling epigenetic variation among cell types identified through genotyping and transcriptional analysis.

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Year:  2016        PMID: 27525975     DOI: 10.1038/nmeth.3961

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


  22 in total

1.  Single-cell DNA-methylation analysis reveals epigenetic chimerism in preimplantation embryos.

Authors:  Chanchao Lorthongpanich; Lih Feng Cheow; Sathish Balu; Stephen R Quake; Barbara B Knowles; William F Burkholder; Davor Solter; Daniel M Messerschmidt
Journal:  Science       Date:  2013-09-06       Impact factor: 47.728

2.  Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

Authors:  Anoop P Patel; Itay Tirosh; John J Trombetta; Alex K Shalek; Shawn M Gillespie; Hiroaki Wakimoto; Daniel P Cahill; Brian V Nahed; William T Curry; Robert L Martuza; David N Louis; Orit Rozenblatt-Rosen; Mario L Suvà; Aviv Regev; Bradley E Bernstein
Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

3.  Tumour evolution inferred by single-cell sequencing.

Authors:  Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alex Krasnitz; W Richard McCombie; James Hicks; Michael Wigler
Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

4.  Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNA-Seq analysis.

Authors:  Fuchou Tang; Catalin Barbacioru; Siqin Bao; Caroline Lee; Ellen Nordman; Xiaohui Wang; Kaiqin Lao; M Azim Surani
Journal:  Cell Stem Cell       Date:  2010-05-07       Impact factor: 24.633

5.  Homeobox gene methylation in lung cancer studied by genome-wide analysis with a microarray-based methylated CpG island recovery assay.

Authors:  Tibor Rauch; Zunde Wang; Xinmin Zhang; Xueyan Zhong; Xiwei Wu; Sean K Lau; Kemp H Kernstine; Arthur D Riggs; Gerd P Pfeifer
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-16       Impact factor: 11.205

6.  Genome-scale analysis of DNA methylation in lung adenocarcinoma and integration with mRNA expression.

Authors:  Suhaida A Selamat; Brian S Chung; Luc Girard; Wei Zhang; Ying Zhang; Mihaela Campan; Kimberly D Siegmund; Michael N Koss; Jeffrey A Hagen; Wan L Lam; Stephen Lam; Adi F Gazdar; Ite A Laird-Offringa
Journal:  Genome Res       Date:  2012-05-21       Impact factor: 9.043

Review 7.  The role of DNA methylation in the development and progression of lung adenocarcinoma.

Authors:  Keith M Kerr; Janice S Galler; Jeffrey A Hagen; Peter W Laird; Ite A Laird-Offringa
Journal:  Dis Markers       Date:  2007       Impact factor: 3.434

8.  Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity.

Authors:  Sébastien A Smallwood; Heather J Lee; Christof Angermueller; Felix Krueger; Heba Saadeh; Julian Peat; Simon R Andrews; Oliver Stegle; Wolf Reik; Gavin Kelsey
Journal:  Nat Methods       Date:  2014-07-20       Impact factor: 28.547

9.  Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas.

Authors:  Yu Hou; Huahu Guo; Chen Cao; Xianlong Li; Boqiang Hu; Ping Zhu; Xinglong Wu; Lu Wen; Fuchou Tang; Yanyi Huang; Jirun Peng
Journal:  Cell Res       Date:  2016-02-23       Impact factor: 25.617

10.  Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity.

Authors:  Christof Angermueller; Stephen J Clark; Heather J Lee; Iain C Macaulay; Mabel J Teng; Tim Xiaoming Hu; Felix Krueger; Sebastien Smallwood; Chris P Ponting; Thierry Voet; Gavin Kelsey; Oliver Stegle; Wolf Reik
Journal:  Nat Methods       Date:  2016-01-11       Impact factor: 28.547

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  55 in total

1.  Advances in Tumor Sampling and Sequencing in Breast Cancer and their Application in Precision Diagnostics and Therapeutics.

Authors:  Amos Chungwon Lee; Han-Byoel Lee; Huiran Yeom; Seo Woo Song; Su Deok Kim; Ahyoun Choi; Sumin Lee; Yongju Lee; Wonshik Han; Sunghoon Kwon
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 2.  Using Large Datasets to Understand Nanotechnology.

Authors:  Kalina Paunovska; David Loughrey; Cory D Sago; Robert Langer; James E Dahlman
Journal:  Adv Mater       Date:  2019-08-20       Impact factor: 30.849

Review 3.  The role of environmental exposures and the epigenome in health and disease.

Authors:  Bambarendage P U Perera; Christopher Faulk; Laurie K Svoboda; Jaclyn M Goodrich; Dana C Dolinoy
Journal:  Environ Mol Mutagen       Date:  2019-06-20       Impact factor: 3.216

4.  Single-cell analysis at the threshold.

Authors:  Xi Chen; J Christopher Love; Nicholas E Navin; Lior Pachter; Michael J T Stubbington; Valentine Svensson; Jonathan V Sweedler; Sarah A Teichmann
Journal:  Nat Biotechnol       Date:  2016-11-08       Impact factor: 54.908

Review 5.  Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics.

Authors:  Mayar Allam; Shuangyi Cai; Ahmet F Coskun
Journal:  NPJ Precis Oncol       Date:  2020-05-01

Review 6.  Dynamic chromatin technologies: from individual molecules to epigenomic regulation in cells.

Authors:  Olivier Cuvier; Beat Fierz
Journal:  Nat Rev Genet       Date:  2017-05-22       Impact factor: 53.242

7.  Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities.

Authors:  Marinka Zitnik; Francis Nguyen; Bo Wang; Jure Leskovec; Anna Goldenberg; Michael M Hoffman
Journal:  Inf Fusion       Date:  2018-09-21       Impact factor: 12.975

8.  Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomes.

Authors:  Davis J McCarthy; Raghd Rostom; Yuanhua Huang; Daniel J Kunz; Petr Danecek; Marc Jan Bonder; Tzachi Hagai; Ruqian Lyu; Wenyi Wang; Daniel J Gaffney; Benjamin D Simons; Oliver Stegle; Sarah A Teichmann
Journal:  Nat Methods       Date:  2020-03-16       Impact factor: 28.547

Review 9.  The epigenetic basis of cellular heterogeneity.

Authors:  Benjamin Carter; Keji Zhao
Journal:  Nat Rev Genet       Date:  2020-11-26       Impact factor: 53.242

Review 10.  Microfluidic epigenomic mapping technologies for precision medicine.

Authors:  Chengyu Deng; Lynette B Naler; Chang Lu
Journal:  Lab Chip       Date:  2019-07-24       Impact factor: 6.799

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