Summary of project PR001257
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 PR001257. The data can be accessed directly via it's Project DOI: 10.21228/M87986 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR001257 |
| Project DOI: | doi: 10.21228/M87986 |
| Project Title: | Non-destructive characterization of Mesenchymal stem cells |
| Project Summary: | Background: Mesenchymal stem cells (MSCs) have shown promising results in clinical trials for their anti-inflammatory function. However, MSC therapy isn’t licensed by FDA, in part because of the heterogeneity of MSCs. The lack of predictive markers also makes it difficult to both manufacture and translate MSCs into clinic. Indoleamine 2,3-Dioxygenase (IDO) assay and T cell suppression assays correlate with MSCs function. We previously showed that cellular metabolites can be used to predict IDO assay and T cell suppression results. Although these methods are promising, they are all destructive and time-consuming and therefore cannot easily translate to a cell manufacturing setting. A non-destructive, in-process method to evaluate cell quality would be extremely valuable. Methods: Culture media from the growth of three different MSC cell lines (two bone marrow, one iPSC) were sampled daily for NMR metabolomics analysis. T cell proliferation and IDO assays were used as surrogates of anti-inflammatory function. Linear regression was used to assess the media metabolic changes over time, and partial least squares regression (PLSR) was then used to obtain predictive media markers (PMMs) based on variable importance in projection (VIP) scores. In addition, pathway analysis was performed to show the relations between media metabolites (MMs) and cell metabolites (CMs). Results: Depending on the time of sampling, PLSR of culture media regressed against a composite score resulted in R2 values between 0.73 and 0.86. Several amnio acids and organic acids were useful PMMs at different time periods. Correlation and pathway analyses related the consumption of valine and aspartate to the release of glycine and alanine during culture. Discussion: The work described here used PLSR models to identify PMMs that can predict MSC function. This method is relatively simple, non-destructive and can could in the future be used in a manufacturing setting to help predict MSC function. |
| Institute: | University of Georgia |
| Last Name: | Shen |
| First Name: | Xunan |
| Address: | 315 riverbend road |
| Email: | xs41379@uga.edu |
| Phone: | 7858407009 |
Summary of all studies in project PR001257
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST001981 | Non-destructive characterization of Mesenchymal stem cells | Homo sapiens | University of Georgia | NMR | 2021-12-01 | 1 | 9 | Not available |
