Dataset Information

Comparability of the small RNA secretome across human biofluids concomitantly collected from healthy adults

ABSTRACT: Small extracellular vesicles (sEV) are nano-sized (40-150 nm), membrane-encapsulated vesicles that are released by malignant or pathologic and non-pathologic cells into the extracellular space and function as intercellular signaling vectors through the horizontal transfer of biologic molecules, including microRNA (miRNA) and other small non-coding RNA (ncRNA), that can alter the phenotype of recipient cells. sEV are present in essentially all extracellular biofluids, including serum, urine and saliva, and offer a new avenue for discovery and development of novel biomarkers of various disease states and exposures. The objective of this study was to determine the similarities and differences between sEV ncRNA derived from saliva, serum and urine, as well as cell-free ncRNA from serum. Saliva, urine and serum were concomitantly collected from 4 healthy donors, and sEV were isolated from each respective biofluid, along with cfRNA from serum. sEVs were isolated from the respective biofluids via differential ultracentrifugation. Small RNA-sequencing was performed on each sample, and cluster analysis was performed based on ncRNA profiles. While some similarities existed in terms of sEV ncRNA cargo across biofluids, there are also notable differences in ncRNA class and ncRNA secretion, with each sEVs in each biofluid bearing a unique ncRNA profile. We conclude that sEV ncRNA cargo varies according to biofluid, so thus should be carefully selected and interpreted when designing translational or epidemiological studies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE122621 | GEO | 2020/02/25

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Saliva, a biofluid enriched in biological omic constituents, has emerged as a promising source for exosomal biomarkers due to its easy accessibility. Despite the understanding of the coronavirus disease-19 (COVID-19), the role of Salivary Extracellular Vesicles (sEVs) in COVID-19 remains poorly understood. Exploring the proteomic cargo of sEVs could prove valuable for diagnostic and prognostic purposes in assessing COVID-19. The proteomic cargo of sEVs from COVID-19 (+) subjects and their healthy close contacts (HCC) was explored. Nine COVID-19 positive (+) patients and eleven in-house close contact patients identified by real-time quantitative polymerase chain reaction (RT-qPCR) of nasopharyngeal swabs were included. In-house close contacts were defined as individuals with a negative RT-qPCR result sharing a residence with a confirmed COVID-19 case. sEVs were isolated by ultracentrifugation from unstimulated saliva samples, and subsequently characterized through nanoparticle tracking, transmission electron microscopy, and western-blot analyses. The proteomic cargo of sEVs was processed by LC-MS/MS. sEVs were morphologically compatible with EVs, with the presence of Syntenin-1 and CD81 EVs markers. The sEVs proteome showed 1,417 proteins: 1,288 in COVID-19 (+) cases and 1,382 in HCC. 35 proteins were found exclusively and 89 were more abundant in sEVs from COVID-19 (+) subjects. “Coronavirus disease response”, “complement and coagulation cascades”, and “PMN extracellular trap formation” were the most enriched KEGG pathways in COVID-19 (+) cases. The most represented biological processes were “Hemoglobin and haptoglobin binding” and “oxygen carrier activity”, and the best-denoted molecular functions were “regulated exocytosis and secretion” and “leucocyte and PMN mediated immunity”. We suggest that sEVs proteomic cargo in COVID-19 is related to immune response processes, oxygen transport, and antioxidant mechanisms. In contrast, in HCC, sEVs signature profiles are mainly associated with epithelial homeostasis.

Dataset Information

Comparability of the small RNA secretome across human biofluids concomitantly collected from healthy adults

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets