Multimodal analysis for human ex vivo studies shows extensive molecular changes from delays in blood processing
| Autor: | 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 |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Proteomics Cell type Multidisciplinary Science Immunology 02 engineering and technology Biology 021001 nanoscience & nanotechnology Peripheral blood mononuclear cell Phenotype Article Molecular Physiology Transcriptome 03 medical and health sciences 030104 developmental biology In vivo Gene expression Proteome 0210 nano-technology Transcriptomics Ex vivo |
| Zdroj: | iScience iScience, Vol 24, Iss 5, Pp 102404-(2021) |
| ISSN: | 2589-0042 |
| Popis: | 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. Graphical abstract 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 Molecular Physiology ; Immunology ; Proteomics ; Transcriptomics |
| Databáze: | OpenAIRE |
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