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Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples

Background: Peripheral blood mononuclear cells (PBMCs) are widely used as a model in the study of different human diseases. There is often a time delay from blood collection to PBMC isolation during the sampling process, which can result in an experimental bias, particularly when performing single c...

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Autores principales: Qu, Hui-Qi, Kao, Charlly, Garifallou, James, Wang, Fengxiang, Snyder, James, Slater, Diana J., Hou, Cuiping, March, Michael, Connolly, John J., Glessner, Joseph T., Hakonarson, Hakon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859202/
https://www.ncbi.nlm.nih.gov/pubmed/36672883
http://dx.doi.org/10.3390/genes14010142
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author Qu, Hui-Qi
Kao, Charlly
Garifallou, James
Wang, Fengxiang
Snyder, James
Slater, Diana J.
Hou, Cuiping
March, Michael
Connolly, John J.
Glessner, Joseph T.
Hakonarson, Hakon
author_facet Qu, Hui-Qi
Kao, Charlly
Garifallou, James
Wang, Fengxiang
Snyder, James
Slater, Diana J.
Hou, Cuiping
March, Michael
Connolly, John J.
Glessner, Joseph T.
Hakonarson, Hakon
author_sort Qu, Hui-Qi
collection PubMed
description Background: Peripheral blood mononuclear cells (PBMCs) are widely used as a model in the study of different human diseases. There is often a time delay from blood collection to PBMC isolation during the sampling process, which can result in an experimental bias, particularly when performing single cell RNA-seq (scRNAseq) studies. Methods: This study examined the impact of different time periods from blood draw to PBMC isolation on the subsequent transcriptome profiling of different cell types in PBMCs by scRNAseq using the 10X Chromium Single Cell Gene Expression assay. Results: Examining the five major cell types constituting the PBMC cell population, i.e., CD4+ T cells, CD8+ T cells, NK cells, monocytes, and B cells, both common changes and cell-type-specific changes were observed in the single cell transcriptome profiling over time. In particular, the upregulation of genes regulated by NF-kB in response to TNF was observed in all five cell types. Significant changes in key genes involved in AP-1 signaling were also observed. RBC contamination was a major issue in stored blood, whereas RBC adherence had no direct impact on the cell transcriptome. Conclusions: Significant transcriptome changes were observed across different PBMC cell types as a factor of time from blood draw to PBMC isolation and as a consequence of blood storage. This should be kept in mind when interpreting experimental results.
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spelling pubmed-98592022023-01-21 Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples Qu, Hui-Qi Kao, Charlly Garifallou, James Wang, Fengxiang Snyder, James Slater, Diana J. Hou, Cuiping March, Michael Connolly, John J. Glessner, Joseph T. Hakonarson, Hakon Genes (Basel) Article Background: Peripheral blood mononuclear cells (PBMCs) are widely used as a model in the study of different human diseases. There is often a time delay from blood collection to PBMC isolation during the sampling process, which can result in an experimental bias, particularly when performing single cell RNA-seq (scRNAseq) studies. Methods: This study examined the impact of different time periods from blood draw to PBMC isolation on the subsequent transcriptome profiling of different cell types in PBMCs by scRNAseq using the 10X Chromium Single Cell Gene Expression assay. Results: Examining the five major cell types constituting the PBMC cell population, i.e., CD4+ T cells, CD8+ T cells, NK cells, monocytes, and B cells, both common changes and cell-type-specific changes were observed in the single cell transcriptome profiling over time. In particular, the upregulation of genes regulated by NF-kB in response to TNF was observed in all five cell types. Significant changes in key genes involved in AP-1 signaling were also observed. RBC contamination was a major issue in stored blood, whereas RBC adherence had no direct impact on the cell transcriptome. Conclusions: Significant transcriptome changes were observed across different PBMC cell types as a factor of time from blood draw to PBMC isolation and as a consequence of blood storage. This should be kept in mind when interpreting experimental results. MDPI 2023-01-04 /pmc/articles/PMC9859202/ /pubmed/36672883 http://dx.doi.org/10.3390/genes14010142 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qu, Hui-Qi
Kao, Charlly
Garifallou, James
Wang, Fengxiang
Snyder, James
Slater, Diana J.
Hou, Cuiping
March, Michael
Connolly, John J.
Glessner, Joseph T.
Hakonarson, Hakon
Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples
title Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples
title_full Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples
title_fullStr Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples
title_full_unstemmed Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples
title_short Single Cell Transcriptome Analysis of Peripheral Blood Mononuclear Cells in Freshly Isolated versus Stored Blood Samples
title_sort single cell transcriptome analysis of peripheral blood mononuclear cells in freshly isolated versus stored blood samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859202/
https://www.ncbi.nlm.nih.gov/pubmed/36672883
http://dx.doi.org/10.3390/genes14010142
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