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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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.
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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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