Single-Cell Analysis Reveals the Impact of Tumor-derived matrix on Cancer-Associated Fibroblasts (original) (raw)
Peng, Qiyun, Sun, Haojie, Neilson, Lisa J., Maknitikul, Sitang, Xu, Jiabao 
ORCID: https://orcid.org/0000-0002-1285-9408, Kong, Lingjiang, Zanivan, Sara and Yin, Huabing ORCID: https://orcid.org/0000-0001-7693-377X(2024) Single-Cell Analysis Reveals the Impact of Tumor-derived matrix on Cancer-Associated Fibroblasts. In: ICBSP '24: Proceedings of the 2024 9th International Conference on Biomedical Imaging, Signal Processing, Hong Kong Shaanxi Hong Kong, 18-20 Oct 2024,(doi: 10.1145/3707172.3707191)
Abstract
High-grade serous ovarian cancer (HGSOC) is a leading cause of death among gynecological malignancies, primarily due to its frequent metastasis to the omentum. To understand its underlying biological processes, in vitro models that can recapitulate the original microenvironment of this organ are essential. Thus, Omentum-derived Gel (OmGel), a matrix derived from tumour-associated omental tissue of HGSOC patients has been developed, which has unprecedented similarity to the in vivo extracellular matrix (ECM). This study explores the responses of cancer-associated fibroblasts (CAFs) on OmGel in comparison to Matrigel, a commonly used matrix for cell culture. We employed single-cell Raman spectroscopy to analyze the biochemical profiles of CAFs cultured on both matrices, categorizing cells into Long, Round, and Extend morphologies based on form factors. Our findings reveal that OmGel induces significant biochemical changes in CAFs, particularly in elongated cells, which exhibit elevated levels of DNA/RNA and lipids compared to those on Matrigel. These results underscore the importance of using physiologically relevant matrices like OmGel for better understanding of cell and matrix interactions in the tumor microenvironment, offering insights into the development of more effective therapeutic strategies targeting the tumor stroma.
| Item Type: | Conference Proceedings |
|---|---|
| Additional Information: | QP was funded by China Scholarship Council (CSC). HS thanks the support from Shanghai Municipal Commission of Education. SM thanks Royal Thai Government Science and Technology Scholarship (Ministry of Higher Education, Science, Research and Innovation). HY thanks the support from UK Natural Environment Research Council (NE/S008721/1) and Innovate UK (reference 104984). |
| Keywords: | Raman spectroscopy, single cell analysis, ovarian cancer and stromal cells, omentum-derived matrix. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Yin, Professor Huabing and Maknitikul, Miss Sitang and Xu, Dr Jiabao |
| Authors: | Peng, Q., Sun, H., Neilson, L. J., Maknitikul, S., Xu, J., Kong, L., Zanivan, S., and Yin, H. |
| College/School: | College of Science and Engineering > School of Engineering > Biomedical Engineering |
| Copyright Holders: | © 2024 Copyright held by the owner/author(s) |
| First Published: | First published in Proceedings of the 2024 9th International Conference on Biomedical Imaging, Signal Processing |
| Publisher Policy: | Reproduced under a creative commons licence |
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Funder and Project Information
LinkPI: Linking Phenotype function with Identity: a novel integrated single-cell technology and metagenomics approach
Huabing Yin
NE/S008721/1
ENG - Biomedical Engineering
An integrated microfluidic single cell Raman technology for rapid diagnosis of pathogens and their antibiotic resistance
Huabing Yin
104984
ENG - Biomedical Engineering
Deposit and Record Details
| ID Code: | 347049 |
|---|---|
| Depositing User: | Dr Jiabao Xu |
| Datestamp: | 03 Feb 2025 14:40 |
| Last Modified: | 04 Feb 2025 02:41 |
| Date of first online publication: | 2024 |
| Date Deposited: | 3 February 2025 |
| Data Availability Statement: | No |