ArticlePloS one2019
Investigating gene expression profiles of whole blood and peripheral blood mononuclear cells using multiple collection and processing methods.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
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- An Erythroid Gene Expression Signature in Preoperative Whole-Blood RNA-Seq Associated with Rebound Pain After Brachial Plexus Block: A Prospective Observational Study.Journal of pain research · 2026Article
- Identification of reproductive and molecular biomarkers associated with clinical metritis in dromedary camels (Frontiers in veterinary science · 2026Article
- Optimizing RNA quality in cryopreserved tissues without preservatives: impact of preservatives, thawing methods and tissue aliquot sizes.BMC biotechnology · 2025Article
- Clinical validation of RNA sequencing for Mendelian disorder diagnostics.American journal of human genetics · 2025Article
- Whole-genome sequencing of extended spectrum beta lactamases (ESBLs)-producing Klebsiella pneumoniae (kp) isolates from selected hospitals in Malaysia.BMC genomics · 2025Article
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- Mechanism and role of nuclear laminin B1 in cell senescence and malignant tumors.Cell death discovery · 2024Review
- Characteristics of RNA Stabilizer RNApro for Peripheral Blood Collection.Diagnostics (Basel, Switzerland) · 2024Article
- Plasma-Free Blood as a Potential Alternative to Whole Blood for Transcriptomic Analysis.Phenomics (Cham, Switzerland) · 2024Article
- A single workflow for multi-species blood transcriptomics.BMC genomics · 2024Article
- Transcriptional profiles associated with coronary artery disease in type 2 diabetes mellitus.Frontiers in endocrinology · 2024Article
- Whole blood transcriptome profile identifies motor neurone disease RNA biomarker signatures.Experimental biology and medicine (Maywood, N.J.) · 2024Article
- Multi-omics in stress and health research: study designs that will drive the field forward.Stress (Amsterdam, Netherlands) · 2024Review
- Transcriptome-wide map of N6-methyladenosine (m6A) profiling in coronary artery disease (CAD) with clopidogrel resistance.Clinical epigenetics · 2023Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression profiling using blood samples is a valuable tool for biomarker discovery in clinical studies. Different whole blood RNA collection and processing methods are highly variable and might confound comparisons of results across studies. The main aim of the current study is to compare how blood storage, extraction methodologies, and the blood components themselves may influence gene expression profiling. Whole blood and peripheral blood mononuclear cell (PBMC) samples were collected in triplicate from five healthy donors. Whole blood was collected in RNAgard® and PAXgene® Blood RNA Tubes, as well as in collection tubes with anticoagulants such as dipotassium ethylenediaminetetraacetic acid (K2EDTA) and Acid Citrate Dextrose Solution A (ACD-A). PBMCs were separated using sodium citrate Cell Preparation Tubes (CPT™), FICOLL™, magnetic separation, and the LeukoLOCK™ methods. After blood collection, the LeukoLOCK™, K2EDTA and ACD-A blood tubes were shipped overnight using cold conditions and samples from the rest of the collection were immediately frozen with or without pre-processing. The RNA was isolated from whole blood and PBMCs using a total of 10 different experimental conditions employing several widely utilized RNA isolation methods. The RNA quality was assessed by RNA Integrity Number (RIN), which showed that all PBMC procedures had the highest RIN values when blood was stabilized in TRIzol® Reagent before RNA extraction. Initial data analysis showed that human blood stored and shipped at 4°C overnight performed equally well when checked for quality using RNA integrity number when compared to frozen stabilized blood. Comparisons within and across donor/method replicates showed signal-to-noise patterns which were not captured by RIN value alone. Pathway analysis using the top 1000 false discovery rate (FDR) corrected differentially expressed genes (DEGs) showed frozen vs. cold shipping conditions greatly impacted gene expression patterns in whole blood. However, the top 1000 FDR corrected DEGs from PBMCs preserved after frozen vs. cold shipping conditions (LeukoLOCK™ preserved in RNAlater®) revealed no significantly affected pathways. Our results provide novel insight into how RNA isolation, various storage, handling, and processing methodologies can influence RNA quality and apparent gene expression using blood samples. Careful consideration is necessary to avoid bias resulting from downstream processing. Better characterization of the effects of collection method idiosyncrasies will facilitate further research in understanding the effect of gene expression variability in human sample types.
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