Literature DB >> 34913118

Single Cell RNA-Seq: Cell Isolation and Data Analysis.

Val Yianni1, Paul T Sharpe2.   

Abstract

Single-cell RNA-sequencing technologies have revolutionized the way that researchers can interrogate cellular relationships and the level of detail by which tissue architecture can be characterized. Multiple cell capturing methods have been developed that, when coupled to next-generation sequencing, can yield cell-to-cell specific information regarding gene expression profiles. One of the commonalities between all of the cell capturing techniques to succeed is the necessity to submit samples with a high cell viability. In addition, these cells should have undergone minimal processing to limit induced stress responses so that their transcriptomes, when sequenced, closely reflect their transcriptomes in vivo at the time of isolation. Below we present a streamlined protocol to isolate fresh cells from tissues in vivo. We also share extensive notes to highlight considerations researchers should take into account before beginning their cell isolation protocol.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  RNA sequencing; Single-cell RNA-seq; Transcriptomics

Mesh:

Year:  2022        PMID: 34913118     DOI: 10.1007/978-1-0716-1847-9_7

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


  12 in total

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Journal:  Nat Methods       Date:  2016-01-18       Impact factor: 28.547

7.  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

8.  Defining human mesenchymal and epithelial heterogeneity in response to oral inflammatory disease.

Authors:  Ana J Caetano; Val Yianni; Ana Volponi; Veronica Booth; Eleanor M D'Agostino; Paul Sharpe
Journal:  Elife       Date:  2021-01-04       Impact factor: 8.140

9.  Dissociation of solid tumor tissues with cold active protease for single-cell RNA-seq minimizes conserved collagenase-associated stress responses.

Authors:  Ciara H O'Flanagan; Kieran R Campbell; Allen W Zhang; Farhia Kabeer; Jamie L P Lim; Justina Biele; Peter Eirew; Daniel Lai; Andrew McPherson; Esther Kong; Cherie Bates; Kelly Borkowski; Matt Wiens; Brittany Hewitson; James Hopkins; Jenifer Pham; Nicholas Ceglia; Richard Moore; Andrew J Mungall; Jessica N McAlpine; Sohrab P Shah; Samuel Aparicio
Journal:  Genome Biol       Date:  2019-10-17       Impact factor: 13.583

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Review 1.  Insights into skeletal stem cells.

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