Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS Urine Storage Study 5.16.22

ABSTRACT: Human urine collected from 10 individuals and aliquoted in biological triplicates for 5 different storage comparisons.

INSTRUMENT(S): maXis

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Lindsey Burnett

PROVIDER: MSV000089483 | GNPS | Mon May 16 12:06:00 BST 2022

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Acinetobacter junii strain:human urine | isolate:human urine

Project description:Acinetobacter junii strain:human urine | isolate:human urine Genome sequencing

| PRJNA1048118 | ENA

urine metagenome

Project description:Viral metagenomics of human urine

| PRJNA603336 | ENA

Transcription profiling of asymptomatic E. coli strain 83972 grown on urine-agar plates or MOPS-glucose media

Project description:Strain 83972 grown on urine-agar plates compared with MOPS, triplicates.

2011-02-01 | E-MEXP-1453 | biostudies-arrayexpress

Cell and microvesicle urine microRNA deep sequencing profiles from healthy individuals

Project description:Background: Urine is a potential source of biomarkers for diseases of the kidneys and urinary tract. RNA, including microRNA, is present in the urine enclosed in detached cells or in extracellular vesicles (EVs) or bound and protected by extracellular proteins. Detection of cell- and disease-specific microRNA in urine may aid early diagnosis of organ-specific pathology. In this study, we applied barcoded deep sequencing to profile microRNAs in urine of healthy volunteers, and characterized the effects of sex, urine fraction (cells vs. EVs) and repeated voids by the same individuals. Results: Compared to urine-cell-derived small RNA libraries, urine-EV-derived libraries were relatively enriched with miRNA, and accordingly had lesser content of other small RNA such as rRNA, tRNA and sn/snoRNA. Unsupervised clustering of specimens in relation to miRNA expression levels showed prominent bundling by specimen type (urine cells or EVs) and by sex, as well as a tendency of repeated (first and second void) samples to neighbor closely. Likewise, miRNA profile correlations between void repeats, as well as fraction counterparts (cells and EVs from the same specimen) were distinctly higher than correlations between miRNA profiles overall. Differential miRNA expression by sex was similar in cells and EVs. Conclusions: miRNA profiling of both urine EVs and sediment cells can convey biologically important differences between individuals. However, to be useful as urine biomarkers, careful consideration is needed for biofluid fractionation and sex-specific analysis, while the time of voiding appears to be less important.

2016-01-28 | GSE72183 | GEO

Proteomic analyses of urine for healty ageing study

Project description:Urine proteomics has been applied to uncover age-related differences in host immune response. About 65 human subjects aged between 65-85 were recruitted to the project, including one group of 33 subjects that have not suffered from any major diseases and the other group of 32 subjects that have history of heart disease, diabetes, cancer, asthma or have at least one hospitalization in last 10 years.

2021-09-08 | PXD012477 | Pride

Transcription profiling of E. coli CAUTI strains during biofilm growth in human urine

Project description:Gene expression profiling of two different E. coli CAUTI strains during biofilm growth in human urine.<br>

2010-06-09 | E-MEXP-2298 | biostudies-arrayexpress

Transcription profiling of two E. coli ABU strains during biofilm growth in human urine

Project description:Gene expression profiling of two different E. coli ABU strains during biofilm growth in human urine.

2007-02-02 | E-MEXP-926 | biostudies-arrayexpress

Transcription profiling of E. coli strains CFT073, Nissle 1917 and 83972 grown exponentially in MOPS, exponentially in human urine and in biofilms in human urine

Project description:Global transcription profiling of E. coli strains CFT073, Nissle 1917 and 83972 grown exponentially in MOPS, exponentially in human urine and in biofilms in human urine.

2010-09-01 | E-MEXP-2609 | biostudies-arrayexpress

Escherichia coli global gene expression in urine from women with urinary tract infection

Project description:Examination of E. coli transcripts present in bacteria in urine samples from 8 patients attending a urology clinic with symptoms of cystitis, as compared to transcripts present in the same E. coli strains during mid-exponential growth in filter-sterilized human urine in vitro. A 48 array study using total RNA recovered from eight clinical E. coli isolates immediately following collection from women and following culture in pooled human urine ex vivo. Each array measures the expression of the 5,379 ORFs in the CFT073 genome, using an average of 14 60-mer probes per ORF. Arrays were performed in triplicate: biological replicates of the in vitro-cultured samples and technical replicates of the in vivo samples.

2010-11-12 | E-GEOD-24478 | biostudies-arrayexpress

Single-Cell RNA-Seq Analysis of cells from human urine

Project description:Urine passes through the entire kidney and urinary tract system starting from the glomerulus and ending to the urethra. Cells in the kidney and urinary tract could be exfoliated from the epithelium into the urine, while leukocyte could infiltrate from the local tissue into the urine, which makes the urine a useful subject for clinical evaluation of relevant diseases. We performed scRNA-seq on voided urine samples. 50–100 mL middle stream urine samples were collected from 12 Chinese healthy adults and combined for droplet-based single-cell RNA sequencing after flow cytometric sorting of live cells. We presented the first single-cell atlas of adult human urine and identified multiple previously unrecognized cell types. Based on our scRNA-seq analysis data, a SOX9+ cell population was identified in adult human urine which we speculated to have progenitor potential.

2021-01-25 | GSE165396 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data