ArticleNature communications2025
Blood collection tube and RNA purification method recommendations for extracellular RNA transcriptome profiling.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Evaluation of 18 S rRNA as an endogenous control in OpenArrayMolecular biology reports · 2026Article
- Multifeature sequencing-based liquid biopsy for cancer diagnosis and monitoring.Genome medicine · 2026Review
- Protocol for total RNA sequencing analysis of extracellular RNA from biofluids.STAR protocols · 2026Article
- Analytical Validation of NETest2.0Cancers · 2026Article
- Plasma cell-free transcriptome profiling in blood plasma from chronic liver disease patients.Scientific data · 2026Article
- Patient-specific alterations in blood plasma cfRNA profiles enable accurate classification of cancer patients and controls.Communications medicine · 2026Article
- Evaluation of Plasma-Derived hsa_circ_003077 for Non-Invasive Diagnosis of Alzheimer's Disease.Biomolecules · 2026Article
- Blood-based tumor biomarkers: integrating biological layers and analytical strategies for precision cancer detection.Frontiers in medicine · 2026Review
- Circulating exosomal miR-550a-5p/miR-665 identify coronary microvascular dysfunction and drive endothelial-myocyte crosstalk in type 2 diabetes.Frontiers in cell and developmental biology · 2026Article
- Preclinical Diagnosis of Type 1 Diabetes: Reality or Utopia.Biomedicines · 2025Review
- Blood collection tube and RNA purification method recommendations for extracellular RNA transcriptome profiling.Nature communications · 2025Article
Corrections and comments
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Authors and funding
1 author.
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No grant is acknowledged in the PubMed record.
Abstract
Blood-based extracellular RNA (cell-free RNA; exRNA) biomarkers require validated sample collection, processing, and quantification procedures. No study to date has systematically tested pre-analytical variables affecting transcriptome-wide exRNA analysis. By evaluating their impact on deep transcriptome profiling of microRNAs and mRNAs in blood plasma or serum, we compared ten blood collection tubes, three blood processing time intervals, and eight RNA purification methods. In addition, we assessed interactions among a selected pre-analytical variable set, resulting in 456 extracellular transcriptomes. Blood preservation tubes failed to stabilize exRNA and RNA purification methods differed significantly in performance, causing variations in concentration, detected gene numbers, replicability and observed transcriptome complexity. Critical interactions between tubes, purification methods and time intervals were identified. We provide 11 analytical performance metrics for exRNA quantification methods and put forward recommendations for both users and manufacturers of RNA purification methods and blood collection tubes, collectively, essential groundwork for exRNA-based precision medicine applications.
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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.