ID
45700
Description
Principal Investigator: Kendall Van Keuren-Jensen, PhD, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA MeSH: MicroRNAs,Healthy Volunteers https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001258 We sequenced small RNAs from 183 plasma samples, 204 urine samples and 46 saliva samples from 55 college athletes ages 18-25 years. Many of the participants provided more than one sample, weeks or months apart, allowing us to assess variability in an individual's exRNA expression levels over time. Several individuals provided all three biofluid types at one time, producing data on individual expression levels across several biofluid types. Here we provide a systematic analysis of small exRNAs present in each biofluid, as well as an analysis of exogenous RNAs. We find that a large number of RNA fragments in plasma (63%) and urine (54%) have sequences that are assigned to YRNA and tRNA fragments respectively. Surprisingly, while many miRNAs can be detected, there are few miRNAs that are consistently detected in all samples from a single biofluid. Additionally, we performed whole transcriptome sequencing on 134 plasma and 115 urine samples and identified circRNA.
Link
Keywords
Versions (1)
- 5/14/23 5/14/23 - Chiara Middel
Copyright Holder
Kendall Van Keuren-Jensen, PhD, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
Uploaded on
May 14, 2023
DOI
To request one please log in.
License
Creative Commons BY 4.0
Model comments :
You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.
Itemgroup comments for :
Item comments for :
In order to download data models you must be logged in. Please log in or register for free.
dbGaP phs001258 Total exRNA Profiles from Plasma, Saliva, and Urine of Healthy Subjects
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table contains subject IDs, consent group information, and subject source for all healthy controls.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotype data table includes donor type, sex, age, and racial category.
- This sample attributes data table includes analyte type, tumor status, biofluid name, disease type, extracellular RNA source, and anatomical location.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent data table contains subject IDs, consent group information, and subject source for all healthy controls.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This subject phenotype data table includes donor type, sex, age, and racial category.
- This sample attributes data table includes analyte type, tumor status, biofluid name, disease type, extracellular RNA source, and anatomical location.
C0680251 (UMLS CUI [1,2])
C0205390 (UMLS CUI [1,2])
C0679646 (UMLS CUI [1,3])
C0425273 (UMLS CUI [1,2])
C2019007 (UMLS CUI [1,3])
C0871489 (UMLS CUI [1,4])
C0205177 (UMLS CUI [1,5])
C0679823 (UMLS CUI [2,1])
C0392367 (UMLS CUI [2,2])
C0150593 (UMLS CUI [2,3])
C0600109 (UMLS CUI [1,2])
C1999230 (UMLS CUI [1,2])
C0370003 (UMLS CUI [1,3])
C0238703 (UMLS CUI [1,2])
C1298908 (UMLS CUI [1,3])
C0439801 (UMLS CUI [1,4])
C0392367 (UMLS CUI [1,5])
C0681653 (UMLS CUI [1,6])
C0205177 (UMLS CUI [1,7])
C0600109 (UMLS CUI [1,2])
C1999230 (UMLS CUI [1,2])
C0370003 (UMLS CUI [1,3])
C0027765 (UMLS CUI [1,2])