Summary of Study ST001119
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 PR000750. The data can be accessed directly via it's Project DOI: 10.21228/M8QX2G 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 | ST001119 |
| Study Title | Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability |
| Study Summary | Cancer cell metabolism is heavily influenced by microenvironmental factors, including nutrient availability. Therefore, knowledge of microenvironmental nutrient levels is essential to understand tumor metabolism. To measure the extracellular nutrient levels available to tumors, we developed a quantitative metabolomics method to measure the absolute concentrations of >118 metabolites in plasma and tumor interstitial fluid, the extracellular fluid that perfuses tumors. Comparison of nutrient levels in tumor interstitial fluid and plasma revealed that the nutrients available to tumors differ from those present in circulation. Further, by comparing interstitial fluid nutrient levels between autochthonous and transplant models of murine pancreatic and lung adenocarcinoma, we found that tumor type, anatomical location and animal diet affect local nutrient availability. These data provide a comprehensive characterization of the nutrients present in the tumor microenvironment of widely used models of lung and pancreatic cancer and identify factors that influence metabolite levels in tumors. |
| Institute | University of Chicago |
| Last Name | Muir |
| First Name | Alexander |
| Address | 929 E 57th St. W GCIS 306, Chicago, Illinois, 60637, USA |
| muir.alexander@gmail.com | |
| Phone | 5104950975 |
| Submit Date | 2019-01-03 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2019-03-06 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Subject:
| Subject ID: | SU001176 |
| Subject Type: | Mammal |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
| Species Group: | Mammals |
