Wei, ZhiyunBatagov, Arsen O.Schinelli, SergioWang, JintuWang, YangEl Fatimy, RachidRabinovsky, RosaliaBalaj, LeonoraChen, Clark C.Hochberg, FredCarter, BobBreakefield, XandraKrichevsky, Anna2017-12-062017Wei, Z., A. O. Batagov, S. Schinelli, J. Wang, Y. Wang, R. El Fatimy, R. Rabinovsky, et al. 2017. “Coding and noncoding landscape of extracellular RNA released by human glioma stem cells.” Nature Communications 8 (1): 1145. doi:10.1038/s41467-017-01196-x. http://dx.doi.org/10.1038/s41467-017-01196-x.http://nrs.harvard.edu/urn-3:HUL.InstRepos:34492187Tumor-released RNA may mediate intercellular communication and serve as biomarkers. Here we develop a protocol enabling quantitative, minimally biased analysis of extracellular RNAs (exRNAs) associated with microvesicles, exosomes (collectively called EVs), and ribonucleoproteins (RNPs). The exRNA complexes isolated from patient-derived glioma stem-like cultures exhibit distinct compositions, with microvesicles most closely reflecting cellular transcriptome. exRNA is enriched in small ncRNAs, such as miRNAs in exosomes, and precisely processed tRNA and Y RNA fragments in EVs and exRNPs. EV-enclosed mRNAs are mostly fragmented, and UTRs enriched; nevertheless, some full-length mRNAs are present. Overall, there is less than one copy of non-rRNA per EV. Our results suggest that massive EV/exRNA uptake would be required to ensure functional impact of transferred RNA on brain recipient cells and predict the most impactful miRNAs in such conditions. This study also provides a catalog of diverse exRNAs useful for biomarker discovery and validates its feasibility on cerebrospinal fluid.en-USJournal Article2017-12-0610.1038/s41467-017-01196-x