Summary of project PR001762
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 PR001762. The data can be accessed directly via it's Project DOI: 10.21228/M8ZB1D This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Project ID: | PR001762 |
Project DOI: | doi: 10.21228/M8ZB1D |
Project Title: | Improving kidney function assessment in health and disease |
Project Summary: | Use results from a global metabolomics platform with existing measured GFR assessments to identify a set of markers from which to develop a highly accurate targeted mass spectrometry multiplex assay |
Institute: | Tufts Medical Center |
Department: | Nephrology |
Laboratory: | Metabolon; University of Minnesota |
Last Name: | Inker |
First Name: | Lesley |
Address: | 800 Washington Street, Boston, Massachusetts, 02111, USA |
Email: | Lesley.Inker@tuftsmedicine.org |
Phone: | 6176368783 |
Funding Source: | NIDDK |
Summary of all studies in project PR001762
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
---|---|---|---|---|---|---|---|---|
ST002818 | Evaluation of Novel Candidate Filtration Markers from a Global Metabolomics Discovery for Glomerular Filtration Rate Estimation (ALTOLD) | Homo sapiens | Tufts Medical Center | MS | 2023-09-06 | 1 | 289 | Uploaded data (9M) |
ST002819 | Evaluation of Novel Candidate Filtration Markers from a Global Metabolomics Discovery for Glomerular Filtration Rate Estimation (MDRD) | Homo sapiens | Tufts Medical Center | MS | 2023-09-06 | 1 | 751 | Uploaded data (19.5M) |
ST002820 | Evaluation of Novel Candidate Filtration Markers from a Global Metabolomics Discovery for Glomerular Filtration Rate Estimation (AASKG1) | Homo sapiens | Tufts Medical Center | MS | 2023-09-06 | 1 | 1002 | Uploaded data (39M) |