Summary of Study ST002469
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 PR001595. The data can be accessed directly via it's Project DOI: 10.21228/M8J13B 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 | ST002469 |
| Study Title | Mesenchymal stromal cell (MSC) Metabolite MS study |
| Study Type | Untargeted Metabolite Study |
| Study Summary | Metabolomics and lipidomics workflows were used to analyze Mesenchymal stromal cell (MSC) metabolites. Metabolite abundances were used to model MSC potency results in IDO and T-cell proliferation assays. |
| Institute | Georgia Institute of Technology |
| Department | Chemistry and Biochemistry |
| Laboratory | Fernandez Lab |
| Last Name | Van Grouw |
| First Name | Alexandria |
| Address | 311 Ferst Dr. NW Atlanta, GA 30332 |
| agrouw3@gatech.edu | |
| Phone | 7072391412 |
| Submit Date | 2023-02-07 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-02-26 |
| Release Version | 1 |
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Project:
| Project ID: | PR001595 |
| Project DOI: | doi: 10.21228/M8J13B |
| Project Title: | Development of a Robust Consensus Modeling Approach for Identifying Cellular and Media Metabolites Predictive of Mesenchymal Stromal Cell Potency |
| Project Type: | MS Untargeted Analysis |
| Project Summary: | Mesenchymal stromal cells (MSCs) have shown promise in regenerative medicine applications due in part to their ability to modulate immune cells, such as T cells. However, MSCs demonstrate significant functional heterogeneity in terms of their immunomodulatory function because of differences in MSC donor/tissue source, as well as non-standardized manufacturing approaches. As MSC metabolism plays a critical role in their ability to expand to therapeutic numbers ex vivo, we comprehensively profiled intracellular and extracellular metabolites throughout the expansion process to identify predictors of MSC immunomodulatory function (T cell modulation and indoleamine-2,3-dehydrogenase (IDO) activity). Here, we profiled media metabolites in a non-destructive manner through daily sampling and nuclear magnetic resonance (NMR), as well as MSC intracellular metabolites at the end of expansion using mass spectrometry (MS). Using a robust consensus machine learning approach, we were able to identify panels of metabolites predictive of MSC immunomodulatory function for 10 independent MSC lines. |
| Institute: | Georgia Institute of Technology |
| Department: | Chemistry and Biochemistry |
| Laboratory: | Fernandez Lab |
| Last Name: | Van Grouw |
| First Name: | Alexandria |
| Address: | 311 Ferst Dr. NW Atlanta, GA 30332 |
| Email: | agrouw3@gatech.edu |
| Phone: | 7072391412 |
| Funding Source: | NSF Center for Cell Manufacturing Technologies |
