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Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing

Authors :
Kelli C. Burley
Hamid Bolouri
Jeff Goldy
Paul Meijer
Peter J Skene
Ed Johnson
Thomas F. Bumol
Tanja Smith
Elliott Swanson
Cara Lord
Miriam V. Gutschow
Aldan Beaubien
Alexander T. Heubeck
Zachary Thomson
Ernest M. Coffey
Adam K. Savage
Xiao-jun Li
Monica Chaudhari
Jane H. Buckner
Tony Chiang
Palak C Genge
Nina Kondza
Kathy Henderson
Richard Green
Troy R. Torgerson
Source :
iScience, iScience, Vol 24, Iss 5, Pp 102404-(2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Summary 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.<br />Graphical abstract<br />Highlights • Studies of human blood cells and plasma are highly sensitive to process variability • Time variability distorts biology in cutting-edge single-cell and multiplex assays • Longitudinal, multi-modal, and aligned data enable data qualification and exploration • Dataset holds potential novel, multi-modal biological correlations and hypotheses<br />Molecular Physiology ; Immunology ; Proteomics ; Transcriptomics

Details

Language :
English
ISSN :
25890042
Volume :
24
Issue :
5
Database :
OpenAIRE
Journal :
iScience
Accession number :
edsair.doi.dedup.....8178f77625edc469d4e3bb15c894f3b1