Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - IIN - Urine biomarker discovery

ABSTRACT: Diluted urine for biomarker discovery. Processed in MZmine 2.37.corr17.7_kei_merge2 GNPS link for IIN paper: https://gnps.ucsd.edu/ProteoSAFe/status.jsp?task=a5480529261b4a13bb867f2edad1dcbe

INSTRUMENT(S): LTQ Orbitrap XL

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

SUBMITTER: Hans-Ulrich Humpf

PROVIDER: MSV000084148 | GNPS | Mon Jul 29 06:46:00 BST 2019

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Similar Datasets

GNPS - IIN - Stachybotrys metabolites

Project description:Stachybotrys, natural product discovery study, extracts, filtrates, mycelium, wildtype, overexpression, Stachybotrysins, Stachybonoids, Stachybotrydials For ion identity networking paper. GNPS link: https://gnps.ucsd.edu/ProteoSAFe/status.jsp?task=0308d797c31a477292fe009030d03da7

2019-07-25 | MSV000084134 | GNPS

Teredinibacter sp. 2052S Quorum Sensing Untargeted Metabolomics

Project description:Raw LC-MS/MS data of crude extract of Teredinibacter sp. 2052S quorum sensing regulon https://gnps.ucsd.edu/ProteoSAFe/status.jsp?task=23f7062e523f49b18e13e4ca13715cfa

2021-12-23 | MSV000088613 | MassIVE

GNPS Optimisation SPE Oasis HLB Prime - EMP500 fecal sample

Project description:GNPS Optimisation SPE Oasis HLB Prime (Hydrophilic-Lipophilic-Balance, 30 mg with particle sizes of 30 um) using an EMP500 fecal sample. LC-MS/MS analysis of the different washing/elution steps on the Q-Exactive, using a C18 polar column. https://gnps.ucsd.edu/ProteoSAFe/status.jsp?task=2d2bb49239834407a5f1a8b0defad6e3 https://gnps.ucsd.edu/ProteoSAFe/status.jsp?task=3741451758824952886f765c9990a52b

2019-02-03 | MSV000083395 | GNPS

GNPS Teredinibacter sp. 2052S Quorum Sensing Untargeted Metabolomics

Project description:Raw LC-MS/MS data of crude extract of Teredinibacter sp. 2052S quorum sensing regulon https://gnps.ucsd.edu/ProteoSAFe/status.jsp?task=23f7062e523f49b18e13e4ca13715cfa

2021-12-23 | MSV000088613 | GNPS

GNPS - American Gut Project - Subset of High vs Low Plant Eaters - MZmine Processing for FBMN

Project description:This desposit contains the MZmine project and files for Feature-Based Molecular Networking analysis after MZmine processing. The data are for plant eaters who consume more than 30 types of plants vs. those who do not. See the MSV000080186 at https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=6ab8eb3e05fb47dcac3b3bab03f00e67 [doi:10.25345/C5W946]

2019-07-15 | MSV000084095 | GNPS

An integrative multi-platform analysis for biomarker discovery of osteosarcoma

Project description:Three osteosarcoma (OS) cell lines (MG-63, Saos-2 and U-2 OS) and 1 osteoblastic cell line (hFOB1.19) were collected for this work. MG-63 was kindly provided by Dr. Agi Grigoriadis from University College London. Saos-2, U-2 OS and hFOB1.19 were purchased from ATCC. All cells used were kept in exponential phase of growth. Total RNA was extracted using the RNeasy Total RNA Isolation kit (QIAGEN). The quality and purity of the products were controlled by Agilent 2100. The final synthesized biotinylated cDNAs were hybridized to Affymetrix GeneChip® U133A 2.0 arrays following the protocol strictly. Arrays were scanned with the Affymetrix scanner 3000. Data analysis was performed by Microarray Suite 5.0 after pre-standard procedure. Link-test on datasets from both SELDI-TOF-MS and microarray high-throughput analysis platforms can accelerate the identification of tumor biomarkers. The results confirmed that CYC-1 with important biomedical function was an effective candidate biomarker for osteosarcoma early diagnosis.

2011-09-15 | E-GEOD-14789 | biostudies-arrayexpress

Urine miRNA transcriptome of prostate cancer patients [Discovery cohort]

Project description:Intra-individual stability of the urine miRNA transcriptome was examined by investigating longitudinal changes over time in a cohort of patients with localized prostate cancer. Using training and validation cohorts, urinary miRNA biomarkers are characterized and validated their utility to identify aggressive prostate cancer.

2019-10-24 | GSE104431 | GEO

Optimizing a proteomics platform for urine biomarker discovery.

Project description: Not available

| S-EPMC2957724 | biostudies-literature

Discovery and validation of novel protein biomarkers in ovarian cancer patient urine

Project description:Diagnosis of ovarian cancer at an early stage is the most important determinant of survival. Thus, there is a clear need for novel biomarkers to improve diagnostic and prognostics that may better inform on therapeutic strategies. We have conducted a discovery study using label-free quantitative mass spectrometry (LFQ) to identify potential biomarker candidates in urine from individual ovarian cancer patients. LFQ analyses identified 4394 proteins (16397 peptides) in urine samples (n=20), 23 of which were significantly elevated in the malignant patient group compared to patients with benign disease. To validate these changes, we used Parallel Reaction Monitoring (PRM) to investigate their abundance in an independent cohort (n=20) of patient urine samples. Seven of the ten proteins were significantly enriched in the ovarian cancer patient samples; amongst these were established ovarian cancer markers WFDC2 (HE4) and Mesothelin (MSLN), validating our approach. This is the first application of a LFQ-PRM workflow to identify and validate ovarian cancer-specific biomarkers in urine samples.

2018-02-15 | PXD007962 | Pride

Bladder cancer biomarker discovery using global metabolomic profiling of urine.

Project description: Not available

| S-EPMC4277370 | biostudies-literature