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Single-Cell Transcriptomic Analysis of Hematopoietic Cells.
Strzelecka, Paulina M; Ranzoni, Anna M; Cvejic, Ana.
Affiliation
  • Strzelecka PM; Wellcome Trust-Medical Research Council, Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK.
  • Ranzoni AM; Department of Haematology, University of Cambridge, Cambridge, UK.
  • Cvejic A; Wellcome Trust Sanger Institute, Cambridge, UK.
Methods Mol Biol ; 2185: 135-158, 2021.
Article in En | MEDLINE | ID: mdl-33165847
ABSTRACT
Single-cell RNA sequencing (scRNA-Seq) allows the complete and unbiased analysis of the transcriptional state of an individual cell. In the past 5 years, scRNA-Seq contributed to the progress of the hematology field, advancing our knowledge of both normal and malignant hematopoiesis. Different scRNA-Seq methods are available, all relying on the conversion of RNA to cDNA, followed by amplification of cDNA in order to obtain a sufficient amount of genetic material for sequencing. Currently available scRNA-Seq platforms can be broadly divided into two categories droplet-based and plate-based. Each of these approaches has advantages and disadvantages that need to be considered when designing the experiment. Here, we describe detailed protocols of two of the most used methods for scRNA-Seq of hematopoietic cells Smart-Seq2 (plate-based) and 10× Genomics (droplet-based).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / Hematopoietic Stem Cells / Single-Cell Analysis / RNA-Seq Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA / Hematopoietic Stem Cells / Single-Cell Analysis / RNA-Seq Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Affiliation country: Reino Unido