Summary of project PR001298
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 PR001298. The data can be accessed directly via it's Project DOI: 10.21228/M8XQ3N This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR001298 |
| Project DOI: | doi: 10.21228/M8XQ3N |
| Project Title: | Multi-omic attributes and unbiased computational modeling for the prediction of immunomodulatory potency of mesenchymal stromal cells |
| Project Summary: | Mesenchymal stromal cells (MSCs) are “living medicines” that continue to be evaluated in clinical trials to treat various clinical indications, yet remain unapproved. Because these cell therapies can be harvested from different tissue sources, are manufactured ex vivo, and are composed of highly responsive cells from donors of varying demographics, significant complexities limit the current understanding and advancements to clinical practice. However, we propose a model workflow used to overcome challenges by identifying multi-omic features that can serve as predictive therapeutic outcomes of MSCs. Here, features were identified using unbiased symbolic regression and machine learning models that correlated multi-omic datasets to results from in vitro functional assays based on putative mechanisms of action of MSCs. Together, this study provides a compelling framework for achieving the identification of candidate CQAs specific to MSCs that may help overcome current challenges, advancing MSCs to broad clinical use. This upload contains the metabolomic dataset which were correlated with quality metrics, such as potency. |
| Institute: | Georgia Institute of Technology |
| Last Name: | Gaul |
| First Name: | David |
| Address: | 311 Ferst Drive Atlanta, GA 30332 |
| Email: | david.gaul@chemistry.gatech.edu |
| Phone: | 4048943870 |
Summary of all studies in project PR001298
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST002052 | Multi-omic Attributes and Unbiased Computational Modeling for the Prediction of Immunomodulatory Potency of Mesenchymal Stromal Cells | Homo sapiens | Georgia Institute of Technology | MS* | 2023-01-06 | 1 | 34 | Uploaded data (2.2G)* |
