Summary of Study ST001682
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001081. The data can be accessed directly via it's Project DOI: 10.21228/M8ZT4C This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST001682 |
Study Title | Untargeted urine LC-HRMS metabolomics profiling for bladder cancer binary outcome classification |
Study Summary | Two samples cohorts were analysed for bladder cancer biomarkers selection. Untargeted urine RP UPLC-HRMS metabolomics profiling was utilized in SCAN MS mode and positive polarity. Dilute and shoot technique was employed for sample preparation. |
Institute | Lomonosov MSU |
Department | Chemistry |
Laboratory | Mass spectrometry |
Last Name | Plyushchenko |
First Name | Ivan |
Address | Leninskie gory, 1/3 |
plyush1993@bk.ru | |
Phone | +79160362200 |
Submit Date | 2020-10-20 |
Num Groups | 2 |
Total Subjects | 124 |
Raw Data Available | Yes |
Raw Data File Type(s) | cdf |
Analysis Type Detail | LC-MS |
Release Date | 2021-02-22 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001081 |
Project DOI: | doi: 10.21228/M8ZT4C |
Project Title: | Untargeted urine LC-HRMS metabolomics profiling for bladder cancer binary outcome classification |
Project Summary: | Two samples cohorts were analysed for bladder cancer biomarkers selection. Untargeted urine RP UPLC-HRMS metabolomics profiling was utilized in SCAN MS mode and positive polarity. Dilute and shoot technique was employed for sample preparation. |
Institute: | Lomonosov Moscow State University |
Department: | Chemistry |
Laboratory: | Mass spectrometry |
Last Name: | Plyushchenko |
First Name: | Ivan |
Address: | Leninskie gory, 1/3 |
Email: | plyush1993@bk.ru |
Phone: | +79160362200 |
Funding Source: | Russian Foundation for Basic Research (RFBR) |
Project Comments: | research project No. 19-33-90071 |
Publications: | Ivan V. Plyushchenko, et al. "Omics Untargeted Key Script: R-Based Software Toolbox for Untargeted Metabolomics with Bladder Cancer Biomarkers Discovery Case Study" Journal of Proteome Research 2022 21 (3), 833-847. DOI: 10.1021/acs.jproteome.1c00392 |
Contributors: | Rodin Igor, Glukhov Alexander |