Literature DB >> 35604552

Single-Cell Analysis of the Transcriptome and Epigenome.

Krystyna Mazan-Mamczarz1, Jisu Ha1, Supriyo De1,2, Payel Sen3.   

Abstract

Epigenome regulation has emerged as an important mechanism for the maintenance of organ function in health and disease. Dissecting epigenomic alterations and resultant gene expression changes in single cells provides unprecedented resolution and insight into cellular diversity, modes of gene regulation, transcription factor dynamics and 3D genome organization. In this chapter, we summarize the transformative single-cell epigenomic technologies that have deepened our understanding of the fundamental principles of gene regulation. We provide a historical perspective of these methods, brief procedural outline with emphasis on the computational tools used to meaningfully dissect information. Our overall goal is to aid scientists using these technologies in their favorite system of interest.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Keywords:  Epigenome; Multiomics; Single-cell; Transcriptome

Mesh:

Year:  2022        PMID: 35604552      PMCID: PMC9352558          DOI: 10.1007/978-1-0716-1831-8_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  144 in total

1.  Full-length RNA-seq from single cells using Smart-seq2.

Authors:  Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

Review 2.  DNA methylation-based biomarkers and the epigenetic clock theory of ageing.

Authors:  Steve Horvath; Kenneth Raj
Journal:  Nat Rev Genet       Date:  2018-06       Impact factor: 53.242

3.  The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery.

Authors:  Hendrik G Stunnenberg; Martin Hirst
Journal:  Cell       Date:  2016-11-17       Impact factor: 41.582

4.  The NIH Roadmap Epigenomics Mapping Consortium.

Authors:  Bradley E Bernstein; John A Stamatoyannopoulos; Joseph F Costello; Bing Ren; Aleksandar Milosavljevic; Alexander Meissner; Manolis Kellis; Marco A Marra; Arthur L Beaudet; Joseph R Ecker; Peggy J Farnham; Martin Hirst; Eric S Lander; Tarjei S Mikkelsen; James A Thomson
Journal:  Nat Biotechnol       Date:  2010-10       Impact factor: 54.908

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

Authors:  Hannah A Pliner; Jonathan S Packer; José L McFaline-Figueroa; Darren A Cusanovich; Riza M Daza; Delasa Aghamirzaie; Sanjay Srivatsan; Xiaojie Qiu; Dana Jackson; Anna Minkina; Andrew C Adey; Frank J Steemers; Jay Shendure; Cole Trapnell
Journal:  Mol Cell       Date:  2018-08-02       Impact factor: 17.970

6.  Robust detection of alternative splicing in a population of single cells.

Authors:  Joshua D Welch; Yin Hu; Jan F Prins
Journal:  Nucleic Acids Res       Date:  2016-01-05       Impact factor: 16.971

7.  cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data.

Authors:  Carmen Bravo González-Blas; Liesbeth Minnoye; Dafni Papasokrati; Sara Aibar; Gert Hulselmans; Valerie Christiaens; Kristofer Davie; Jasper Wouters; Stein Aerts
Journal:  Nat Methods       Date:  2019-04-08       Impact factor: 28.547

8.  Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics.

Authors:  Kelly Street; Davide Risso; Russell B Fletcher; Diya Das; John Ngai; Nir Yosef; Elizabeth Purdom; Sandrine Dudoit
Journal:  BMC Genomics       Date:  2018-06-19       Impact factor: 3.969

9.  Nuclei multiplexing with barcoded antibodies for single-nucleus genomics.

Authors:  Jellert T Gaublomme; Bo Li; Cristin McCabe; Abigail Knecht; Yiming Yang; Eugene Drokhlyansky; Nicholas Van Wittenberghe; Julia Waldman; Danielle Dionne; Lan Nguyen; Philip L De Jager; Bertrand Yeung; Xinfang Zhao; Naomi Habib; Orit Rozenblatt-Rosen; Aviv Regev
Journal:  Nat Commun       Date:  2019-07-02       Impact factor: 14.919

10.  Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model.

Authors:  F William Townes; Stephanie C Hicks; Martin J Aryee; Rafael A Irizarry
Journal:  Genome Biol       Date:  2019-12-23       Impact factor: 13.583

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