Reproducibility of 10x Genomics single cell RNA sequencing method in the immune cell environment

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Abstract

10x Genomics is a highly accessible single cell RNA sequencing platform that allows for simultaneous gene expression analysis and identification of receptor chain combinations in cells of the adaptive immune system. Here, we asked whether the gene and receptor expression measurements in peripheral blood mononuclear cells (PBMC) are influenced by technical, cell freezing, FACS-processing, and day to day biological variation. No differentially expressed gene was observed between 1. triplicates aliquots taken from the same vial of frozen PBMC; 2. triplicate vials of frozen PBMC; and 3. triplicate aliquots taken from the same vial of frozen PBMC and processed separately for FACS staining and sorting of different PBMC populations. A small number of differentially expressed genes were observed between PBMC sampled, isolated and frozen from the same donor on different days, and these differences were more pronounced in the memory B cells than other cell populations. T cell receptors were recovered in all replicates when at least 5 cells per clonotype were identified. These findings show high reproducibility of 10x Genomics single cell RNA sequencing data in the immune cell context.

Details

OriginalspracheEnglisch
Aufsatznummer113227
FachzeitschriftJournal of immunological methods
Jahrgang2022
Ausgabenummer502
PublikationsstatusVeröffentlicht - 1 März 2022
Peer-Review-StatusJa

Externe IDs

PubMed 35031279
unpaywall 10.1016/j.jim.2022.113227
Mendeley 7cea6be2-d3df-3c6a-bf8a-4a209a9f931e
ORCID /0000-0002-8704-4713/work/141544357
ORCID /0000-0001-9599-8632/work/142241744

Schlagworte

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Schlagwörter

  • 10x genomics, Gene-expression analysis, Peripheral blood mononuclear cells (PBMC), Reproducibility, Single-cell, T cell receptor (TCR), Reproducibility of Results, Genomics, Leukocytes, Mononuclear/metabolism, Sequence Analysis, RNA/methods

Bibliotheksschlagworte