ArticleJournal of extracellular vesicles2017
A comprehensive method for identification of suitable reference genes in extracellular vesicles.
Article in Journal of extracellular vesicles, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed toAmerican journal of physiology. Lung cellular and molecular physiology · 2020Pooled it
- EV-associated HOTAIR in cancer cell communication: a distance-aware review of functional transfer claims.Frontiers in cell and developmental biology · 2026Review
- Comprehensive profiling of plasma and exosomal microRNAs in medication-related osteonecrosis of the jaw.Scientific reports · 2025Article
- Cord Blood Exosomal miRNAs from Small-for-Gestational-Age Newborns: Association with Measures of PostnatalInternational journal of molecular sciences · 2025Article
- Identification of robust and abundant reference transcripts for EV mRNA cargo normalization.Extracellular vesicle · 2025Article
- Review
- Identification and validation of extracellular vesicle reference genes for the normalization of RT-qPCR data.Journal of extracellular vesicles · 2024Article
- Identification of stable reference genes for relative quantification of long RNA expression in urinary extracellular vesicles.Journal of extracellular biology · 2024Article
- A one-pot isothermal Cas12-based assay for the sensitive detection of microRNAs.Nature biomedical engineering · 2023Article
- MiR-151a: a robust endogenous control for normalizing small extracellular vesicle cargo in human cancer.Biomarker research · 2023Article
- miR-26a/30d/152 are reliable reference genes for miRNA quantification in skin wound age estimation.Forensic sciences research · 2023Article
- Article
- Methods for the identification and characterization of extracellular vesicles in cardiovascular studies: from exosomes to microvesicles.Cardiovascular research · 2023Article
- MicroRNA profiling of low concentration extracellular vesicle RNA utilizing NanoString nCounter technology.Journal of extracellular biology · 2023Article
- Plasma and urinary extracellular vesicles as a source of RNA biomarkers for prostate cancer in liquid biopsies.Frontiers in molecular biosciences · 2023Article
- Validation of potential RNA biomarkers for prostate cancer diagnosis and monitoring in plasma and urinary extracellular vesicles.Frontiers in molecular biosciences · 2023Article
- Exosomal mitochondrial tRNAs and miRNAs as potential predictors of inflammation in renal proximal tubular epithelial cells.Molecular therapy. Nucleic acids · 2022Article
- Role of brain extracellular vesicles in air pollution-related cognitive impairment and neurodegeneration.Environmental research · 2022Review
- Article
- Article
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Authors and funding
14 authors.
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Abstract
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is one of the most sensitive, economical and widely used methods for evaluating gene expression. However, the utility of this method continues to be undermined by a number of challenges including normalization using appropriate reference genes. The need to develop tailored and effective strategies is further underscored by the burgeoning field of extracellular vesicle (EV) biology. EVs contain unique signatures of small RNAs including microRNAs (miRs). In this study we develop and validate a comprehensive strategy for identifying highly stable reference genes in a therapeutically relevant cell type, cardiosphere-derived cells. Data were analysed using the four major approaches for reference gene evaluation: NormFinder, GeNorm, BestKeeper and the Delta Ct method. The weighted geometric mean of all of these methods was obtained for the final ranking. Analysis of RNA sequencing identified miR-101-3p, miR-23a-3p and a previously identified EV reference gene, miR-26a-5p. Analysis of a chip-based method (NanoString) identified miR-23a, miR-217 and miR-379 as stable candidates. RT-qPCR validation revealed that the mean of miR-23a-3p, miR-101-3p and miR-26a-5p was the most stable normalization strategy. Here, we demonstrate that a comprehensive approach of a diverse data set of conditions using multiple algorithms reliably identifies stable reference genes which will increase the utility of gene expression evaluation of therapeutically relevant EVs.
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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.