ArticleiScience2021
Multimodal analysis for human
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed.
- SiteCELL enablesiScience · 2026Article
- An at-home blood collection device for remote immune monitoring by high-parameter flow cytometry.JCI insight · 2026Article
- Interpretable inflammation landscape of circulating immune cells.Nature medicine · 2026Article
- Modeling heterogeneity in single-cell perturbation states enhances detection of response eQTLs.Nature genetics · 2025Article
- LIGHT/TNFSF14 Levels in Carotid Plaques Are Associated With Symptomatic Cerebrovascular Disease.Journal of stroke · 2025Article
- Provide proactive reproducible analysis transparency with every publication.Royal Society open science · 2025Article
- CryoSCAPE: Scalable immune profiling using cryopreserved whole blood for multi-omic single cell and functional assays.Journal of translational medicine · 2025Article
- Circular RNAs in Blood and Its Clinical Relevance.Advances in experimental medicine and biology · 2025Review
- Impact on in-depth immunophenotyping of delay to peripheral blood processing.Clinical and experimental immunology · 2024Article
- LIGHT/TNFSF14 Affects Adipose Tissue Phenotype.International journal of molecular sciences · 2024Article
- Proteomic and transcriptomic analyses identify apo-transcobalamin-II as a biomarker of overall survival in osteosarcoma.Frontiers in oncology · 2024Article
- Comparative analysis of methods to reduce activation signature gene expression in PBMCs.Scientific reports · 2023Article
- An ex vivo model of interactions between extracellular vesicles and peripheral mononuclear blood cells in whole blood.Journal of extracellular vesicles · 2023Article
- How can we use proteomics to learn more about platelets?Platelets · 2023Article
- Population-level integration of single-cell datasets enables multi-scale analysis across samples.Nature methods · 2023Article
- Dual inhibition of BTLA and PD-1 can enhance therapeutic efficacy of paclitaxel on intraperitoneally disseminated tumors.Journal for immunotherapy of cancer · 2023Article
- A comprehensive platform for analyzing longitudinal multi-omics data.Nature communications · 2023Article
- Inflammatory bone marrow signaling in pediatric acute myeloid leukemia distinguishes patients with poor outcomes.Nature communications · 2022Article
- Circular RNAs in peripheral blood mononuclear cells are more stable than linear RNAs upon sample processing delay.Journal of cellular and molecular medicine · 2022Article
- Timing of Blood Sample Processing Affects the Transcriptomic and Epigenomic Profiles in CD4Cells · 2022Article
Corrections and comments
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Authors and funding
25 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.