Transcriptome-aligned metabolic profiling by SERSome reflects biological changes following mesenchymal stem cells expansion
In this study, we explore the application of SERS technique to provide robust metabolic characteristics of MSCs across different passages and donors. These results demonstrate the effectiveness of SERSome in reflecting biological characteristics. Due to its sensitivity, adaptability, low cost, and feasibility for miniaturized instrumentation throughout pretreatment, measurement, and analysis, the label-free SERSome technique is suitable for monitoring MSC expansion and offers significant advantages for large-scale MSC manufacturing.
Authors
- Wei‐Qiang Gao (ORCID: https://orcid.org/0000-0002-0959-2570)
- Xinyuan Bi
- Hanyu Rao (ORCID: https://orcid.org/0000-0003-1286-8707)
- Jian Ye (ORCID: https://orcid.org/0000-0002-8101-8362)
- Bin Ma (ORCID: https://orcid.org/0009-0001-9423-4734)
- Wei Liu (ORCID: https://orcid.org/0000-0003-2018-7004)
Institutions
- Shanghai Jiao Tong University (CN)
- Renji Hospital (CN)
- Shanghai Jian Qiao University (CN)
Publication Details
- Journal
- Stem Cell Research & Therapy
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s13287-024-04109-0
- Citations
- 5
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 3.31
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality
- Renji Hospital
- Sichuan Province Science and Technology Support Program