ArticlePloS one2016
Inter-Individual Differences in RNA Levels in Human Peripheral Blood.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
18 citing papers in PubMed.
- The Blood RNA Stability Atlas: defining temporal structure and trait-state programs in the human whole-blood transcriptome.bioRxiv : the preprint server for biology · 2026Article
- High Sensitivity and Specificity Platform to Validate MicroRNA Biomarkers in Cancer and Human Diseases.Non-coding RNA · 2024Article
- Article
- Whole blood RNA extraction efficiency contributes to variability in RNA sequencing data sets.PloS one · 2023Article
- Ecoimmunology in the field: Measuring multiple dimensions of immune function with minimally invasive, field-adapted techniques.American journal of human biology : the official journal of the Human Biology Council · 2022Review
- Transmissible cancer influences immune gene expression in an endangered marsupial, the Tasmanian devil (Sarcophilus harrisii).Molecular ecology · 2022Article
- A MicroRNA Next-Generation-Sequencing Discovery Assay (miND) for Genome-Scale Analysis and Absolute Quantitation of Circulating MicroRNA Biomarkers.International journal of molecular sciences · 2022Article
- Circular RNA hsa_circ_0007990 as a blood biomarker for unruptured intracranial aneurysm with aneurysm wall enhancement.Frontiers in immunology · 2022Article
- Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data.BMC genomics · 2021Article
- The effect of cell isolation methods on the human transcriptome profiling and microbial transcripts of peripheral blood.Molecular biology reports · 2021Article
- Coordinated analysis of exon and intron data reveals novel differential gene expression changes.Scientific reports · 2020Article
- Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube.Frontiers in immunology · 2020Article
- Research landscape of liquid biopsies in prostate cancer.American journal of cancer research · 2019Review
- Tasmanian devils with contagious cancer exhibit a constricted T-cell repertoire diversity.Communications biology · 2019Article
- Host Transcriptomics as a Tool to Identify Diagnostic and Mechanistic Immune Signatures of Tuberculosis.Frontiers in immunology · 2019Review
- Liquid Biopsy Biomarkers in Bladder Cancer: A Current Need for Patient Diagnosis and Monitoring.International journal of molecular sciences · 2018Review
- Liquid biopsy: a step forward towards precision medicine in urologic malignancies.Molecular cancer · 2017Review
- Variety of RNAs in Peripheral Blood Cells, Plasma, and Plasma Fractions.BioMed research international · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Relatively little is known about the range of RNA levels in human blood. This report provides assessment of peripheral blood RNA level and its inter-individual differences in a group of 35 healthy humans consisting of 25 females and 10 males ranging in age from 50 to 89 years. In this group, the average total RNA level was 14.59 μg/ml of blood, with no statistically significant difference between females and males. The individual RNA level ranged from 6.7 to 22.7 μg/ml of blood. In healthy subjects, the repeated sampling of an individual's blood showed that RNA level, whether high or low, was stable. The inter-individual differences in RNA level in blood can be attributed to both, differences in cell number and the amount of RNA per cell. The 3.4-fold range of inter-individual differences in total RNA levels, documented herein, should be taken into account when evaluating the results of quantitative RT-PCR and/or RNA sequencing studies of human blood. Based on the presented results, a comprehensive assessment of gene expression in blood should involve determination of both the amount of mRNA per unit of total RNA (U / ng RNA) and the amount of mRNA per unit of blood (U / ml blood) to assure a thorough interpretation of physiological or pathological relevance of study results.
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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.