Identification and validation of extracellular vesicle reference genes for the normalization of RT-qPCR data.
Cláudio PinheiroNiké GuilbertLien LippensQuentin RouxRobin BoiySuzanne FischerSofie Van DorpeBram De CraeneGeert BerxTom BoterbergGwen SysHannelore DenysIlkka MiinalainenPieter MestdaghJo VandesompeleOlivier De WeverAn HendrixPublished in: Journal of extracellular vesicles (2024)
Extracellular vesicles (EVs) contain a plethora of biomolecules, including nucleic acids, with diverse diagnostic and therapeutic application potential. Although reverse transcription-quantitative PCR (RT-qPCR) is the most widely applied laboratory technique to evaluate gene expression, its applicability in EV research is challenged by the lack of universal and stably present reference genes (RGs). In this study, we identify, validate and establish SNRPG, OST4, TOMM7 and NOP10 as RGs for the normalization of EV-associated genes by RT-qPCR. We show the stable presence of SNRPG, OST4, TOMM7 and NOP10 in multiple cell lines and their secreted EVs (n = 12) under different (patho)physiological conditions as well as in human-derived biofluids (n = 3). Enzymatic treatments confirm the presence of SNRPG, OST4, TOMM7 and NOP10 inside EVs. In addition, the four EV-associated RGs are stably detected in a size-range of EV subpopulations. RefFinder analysis reveals that SNRPG, OST4, TOMM7 and NOP10 are more stable compared to RGs established specifically for cultured cells or tissues such as HMBS, YWHAZ, SDHA and GAPDH. In summary, we present four universal and stably present EV-associated RGs to enable normalization and thus steer the implementation of RT-qPCR for the analysis of EV-associated RNA cargo for research or clinical applications.
Keyphrases
- gene expression
- bioinformatics analysis
- endothelial cells
- genome wide
- dna methylation
- induced apoptosis
- genome wide identification
- primary care
- healthcare
- cell cycle arrest
- hydrogen peroxide
- cell proliferation
- cell death
- oxidative stress
- induced pluripotent stem cells
- signaling pathway
- deep learning
- artificial intelligence
- machine learning