Spatial omics techniques and data analysis for cancer immunotherapy applications

Page view(s)
0
Checked on
Spatial omics techniques and data analysis for cancer immunotherapy applications
Please use this identifier to cite or link to this item: https://oar.a-star.edu.sg/communities-collections/articles/22182
Title:
Spatial omics techniques and data analysis for cancer immunotherapy applications
Journal Title:
Current Opinion in Biotechnology
DOI:
10.1016/j.copbio.2024.103111
Publication URL:
https://doi.org/10.1016/j.copbio.2024.103111
Authors:
Yue Zhang, Ren Yuan Lee, Chin Wee Tan, Xue Guo, Willa W-Y Yim, Jeffrey CT Lim, Felicia YT Wee, WU Yang, Malvika Kharbanda, Jia-Ying J Lee, Nye Thane Ngo, Wei Qiang Leow, Lit-Hsin Loo, Tony KH Lim, Radoslaw M Sobota, Mai Chan Lau, Melissa J Davis, Joe Yeong
Keywords:
Nanobiotechnology
Publication Date:
22 March 2024
Citation:
Zhang, Y., Lee, R. Y., Tan, C. W., Guo, X., Yim, W. W.-Y., Lim, J. C., Wee, F. Y., Yang, W., Kharbanda, M., Lee, J.-Y. J., Ngo, N. T., Leow, W. Q., Loo, L.-H., Lim, T. K., Sobota, R. M., Lau, M. C., Davis, M. J., & Yeong, J. (2024). Spatial omics techniques and data analysis for cancer immunotherapy applications. Current Opinion in Biotechnology, 87, 103111. https://doi.org/10.1016/j.copbio.2024.103111
Abstract:
In-depth profiling of cancer cells/tissues is expanding our understanding of the genomic, epigenomic, transcriptomic, and proteomic landscape of cancer. However, the complexity of the cancer microenvironment, particularly its immune regulation, has made it difficult to exploit the potential of cancer immunotherapy. High-throughput spatial omics technologies and analysis pipelines have emerged as powerful tools for tackling this challenge. As a result, a potential revolution in cancer diagnosis, prognosis, and treatment is on the horizon. In this review, we discuss the technological advances in spatial profiling of cancer around and beyond the central dogma to harness the full benefits of immunotherapy. We also discuss the promise and challenges of spatial data analysis and interpretation and provide an outlook for the future.
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
This research / project is supported by the A*STAR - Biomedical Engineering Programme
Grant Reference no. : C211318003

This research / project is supported by the Singapore National Medical Research Council - Open Fund - Young Individual Research Grant
Grant Reference no. : MOH-000323-00, OFYIRG19may-0007

This research / project is supported by the A*STAR - Industry Alignment Fund – Industry Collaboration Fund
Grant Reference no. : IAF-ICP I2201E0014
Description:
URI:
https://oar.a-star.edu.sg/communities-collections/articles/22182
ISSN:
0958-1669
Collections:
Bioinformatics Institute
Files uploaded:

Manuscripts in This Item:
File Size Format Action
1447manu-spatial-omics-techniques-and-data-analysis.pdf 1.01 MB PDF Open