Literature DB >> 28446964

Strategies for the acquisition of transcriptional and epigenetic information in single cells.

Guang Li1, Elda Dzilic1,2, Nick Flores1, Alice Shieh1, Sean M Wu1,3,4.   

Abstract

As the basic unit of living organisms, each single cell has unique molecular signatures and functions. Our ability to uncover the transcriptional and epigenetic signature of single cells has been hampered by the lack of tools to explore this area of research. The advent of microfluidic single cell technology along with single cell genome-wide DNA amplification methods had greatly improved our understanding of the expression variation in single cells. Transcriptional expression profile by multiplex qPCR or genome-wide RNA sequencing has enabled us to examine genes expression in single cells in different tissues. With the new tools, the identification of new cellular heterogeneity, novel marker genes, unique subpopulations, and spatial locations of each single cell can be acquired successfully. Epigenetic modifications for each single cell can also be obtained via similar methods. Based on single cell genome sequencing, single cell epigenetic information including histone modifications, DNA methylation, and chromatin accessibility have been explored and provided valuable insights regarding gene regulation and disease prognosis. In this article, we review the development of strategies to obtain single cell transcriptional and epigenetic data. Furthermore, we discuss ways in which single cell studies may help to provide greater understanding of the mechanisms of basic cardiovascular biology that will eventually lead to improvement in our ability to diagnose disease and develop new therapies.

Keywords:  Single cells; epigenetics; novel maker genes; single cell heterogeneity; spatial location analysis; subpopulations; transcriptional expression

Year:  2017        PMID: 28446964      PMCID: PMC5383559          DOI: 10.21037/jtd.2016.08.17

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  42 in total

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Journal:  Nat Rev Genet       Date:  2002-09       Impact factor: 53.242

Review 2.  Design and Analysis of Single-Cell Sequencing Experiments.

Authors:  Dominic Grün; Alexander van Oudenaarden
Journal:  Cell       Date:  2015-11-05       Impact factor: 41.582

Review 3.  Single-cell metabolomics: analytical and biological perspectives.

Authors:  R Zenobi
Journal:  Science       Date:  2013-12-06       Impact factor: 47.728

4.  Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.

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Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

5.  Single-cell nucleosome mapping reveals the molecular basis of gene expression heterogeneity.

Authors:  Eliza C Small; Liqun Xi; Ji-Ping Wang; Jonathan Widom; Jonathan D Licht
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-02       Impact factor: 11.205

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

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Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

Review 7.  Tumour stem cells and drug resistance.

Authors:  Michael Dean; Tito Fojo; Susan Bates
Journal:  Nat Rev Cancer       Date:  2005-04       Impact factor: 60.716

8.  Single-cell analysis and sorting using droplet-based microfluidics.

Authors:  Linas Mazutis; John Gilbert; W Lloyd Ung; David A Weitz; Andrew D Griffiths; John A Heyman
Journal:  Nat Protoc       Date:  2013-04-04       Impact factor: 13.491

9.  Single-cell dissection of transcriptional heterogeneity in human colon tumors.

Authors:  Piero Dalerba; Tomer Kalisky; Debashis Sahoo; Pradeep S Rajendran; Michael E Rothenberg; Anne A Leyrat; Sopheak Sim; Jennifer Okamoto; Darius M Johnston; Dalong Qian; Maider Zabala; Janet Bueno; Norma F Neff; Jianbin Wang; Andrew A Shelton; Brendan Visser; Shigeo Hisamori; Yohei Shimono; Marc van de Wetering; Hans Clevers; Michael F Clarke; Stephen R Quake
Journal:  Nat Biotechnol       Date:  2011-11-13       Impact factor: 54.908

10.  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

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  5 in total

1.  Single cell expression analysis reveals anatomical and cell cycle-dependent transcriptional shifts during heart development.

Authors:  Guang Li; Lei Tian; William Goodyer; Eric J Kort; Jan W Buikema; Adele Xu; Joseph C Wu; Stefan Jovinge; Sean M Wu
Journal:  Development       Date:  2019-06-14       Impact factor: 6.868

Review 2.  Revisiting the NIH Taskforce on the Research needs of Eosinophil-Associated Diseases (RE-TREAD).

Authors:  Paneez Khoury; Praveen Akuthota; Steven J Ackerman; Joseph R Arron; Bruce S Bochner; Margaret H Collins; Jean-Emmanuel Kahn; Patricia C Fulkerson; Gerald J Gleich; Rashmi Gopal-Srivastava; Elizabeth A Jacobsen; Kristen M Leiferman; Levi-Schaffer Francesca; Sameer K Mathur; Michael Minnicozzi; Calman Prussin; Marc E Rothenberg; Florence Roufosse; Kathleen Sable; Dagmar Simon; Hans-Uwe Simon; Lisa A Spencer; Jonathan Steinfeld; Andrew J Wardlaw; Michael E Wechsler; Peter F Weller; Amy D Klion
Journal:  J Leukoc Biol       Date:  2018-04-19       Impact factor: 4.962

3.  Single Cell Analysis of Endothelial Cells Identified Organ-Specific Molecular Signatures and Heart-Specific Cell Populations and Molecular Features.

Authors:  Wei Feng; Lyuqin Chen; Patricia K Nguyen; Sean M Wu; Guang Li
Journal:  Front Cardiovasc Med       Date:  2019-11-26

Review 4.  A Next-Generation Sequencing Primer-How Does It Work and What Can It Do?

Authors:  Yuriy O Alekseyev; Roghayeh Fazeli; Shi Yang; Raveen Basran; Thomas Maher; Nancy S Miller; Daniel Remick
Journal:  Acad Pathol       Date:  2018-05-06

Review 5.  Single Cell Analysis in Vascular Biology.

Authors:  Nicholas W Chavkin; Karen K Hirschi
Journal:  Front Cardiovasc Med       Date:  2020-03-31
  5 in total

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