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Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing
Multi-omic profiling of human peripheral blood is increasingly utilized to identify biomarkers and pathophysiologic mechanisms of disease. The importance of these platforms in clinical and translational studies led us to investigate the impact of delayed blood processing on the numbers and state of...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169801/ https://www.ncbi.nlm.nih.gov/pubmed/34113805 http://dx.doi.org/10.1016/j.isci.2021.102404 |
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author | Savage, Adam K. Gutschow, Miriam V. Chiang, Tony Henderson, Kathy Green, Richard Chaudhari, Monica Swanson, Elliott Heubeck, Alexander T. Kondza, Nina Burley, Kelli C. Genge, Palak C. Lord, Cara Smith, Tanja Thomson, Zachary Beaubien, Aldan Johnson, Ed Goldy, Jeff Bolouri, Hamid Buckner, Jane H. Meijer, Paul Coffey, Ernest M. Skene, Peter J. Torgerson, Troy R. Li, Xiao-jun Bumol, Thomas F. |
author_facet | Savage, Adam K. Gutschow, Miriam V. Chiang, Tony Henderson, Kathy Green, Richard Chaudhari, Monica Swanson, Elliott Heubeck, Alexander T. Kondza, Nina Burley, Kelli C. Genge, Palak C. Lord, Cara Smith, Tanja Thomson, Zachary Beaubien, Aldan Johnson, Ed Goldy, Jeff Bolouri, Hamid Buckner, Jane H. Meijer, Paul Coffey, Ernest M. Skene, Peter J. Torgerson, Troy R. Li, Xiao-jun Bumol, Thomas F. |
author_sort | Savage, Adam K. |
collection | PubMed |
description | Multi-omic profiling of human peripheral blood is increasingly utilized to identify biomarkers and pathophysiologic mechanisms of disease. The importance of these platforms in clinical and translational studies led us to investigate the impact of delayed blood processing on the numbers and state of peripheral blood mononuclear cells (PBMC) and on the plasma proteome. Similar to previous studies, we show minimal effects of delayed processing on the numbers and general phenotype of PBMC up to 18 hours. In contrast, profound changes in the single-cell transcriptome and composition of the plasma proteome become evident as early as 6 hours after blood draw. These reflect patterns of cellular activation across diverse cell types that lead to progressive distancing of the gene expression state and plasma proteome from native in vivo biology. Differences accumulating during an overnight rest (18 hours) could confound relevant biologic variance related to many underlying disease states. |
format | Online Article Text |
id | pubmed-8169801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81698012021-06-09 Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing Savage, Adam K. Gutschow, Miriam V. Chiang, Tony Henderson, Kathy Green, Richard Chaudhari, Monica Swanson, Elliott Heubeck, Alexander T. Kondza, Nina Burley, Kelli C. Genge, Palak C. Lord, Cara Smith, Tanja Thomson, Zachary Beaubien, Aldan Johnson, Ed Goldy, Jeff Bolouri, Hamid Buckner, Jane H. Meijer, Paul Coffey, Ernest M. Skene, Peter J. Torgerson, Troy R. Li, Xiao-jun Bumol, Thomas F. iScience Article Multi-omic profiling of human peripheral blood is increasingly utilized to identify biomarkers and pathophysiologic mechanisms of disease. The importance of these platforms in clinical and translational studies led us to investigate the impact of delayed blood processing on the numbers and state of peripheral blood mononuclear cells (PBMC) and on the plasma proteome. Similar to previous studies, we show minimal effects of delayed processing on the numbers and general phenotype of PBMC up to 18 hours. In contrast, profound changes in the single-cell transcriptome and composition of the plasma proteome become evident as early as 6 hours after blood draw. These reflect patterns of cellular activation across diverse cell types that lead to progressive distancing of the gene expression state and plasma proteome from native in vivo biology. Differences accumulating during an overnight rest (18 hours) could confound relevant biologic variance related to many underlying disease states. Elsevier 2021-04-15 /pmc/articles/PMC8169801/ /pubmed/34113805 http://dx.doi.org/10.1016/j.isci.2021.102404 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Savage, Adam K. Gutschow, Miriam V. Chiang, Tony Henderson, Kathy Green, Richard Chaudhari, Monica Swanson, Elliott Heubeck, Alexander T. Kondza, Nina Burley, Kelli C. Genge, Palak C. Lord, Cara Smith, Tanja Thomson, Zachary Beaubien, Aldan Johnson, Ed Goldy, Jeff Bolouri, Hamid Buckner, Jane H. Meijer, Paul Coffey, Ernest M. Skene, Peter J. Torgerson, Troy R. Li, Xiao-jun Bumol, Thomas F. Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing |
title | Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing |
title_full | Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing |
title_fullStr | Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing |
title_full_unstemmed | Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing |
title_short | Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing |
title_sort | multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169801/ https://www.ncbi.nlm.nih.gov/pubmed/34113805 http://dx.doi.org/10.1016/j.isci.2021.102404 |
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