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Technological and computational advances driving high-throughput oncology.

Authors :
Kolmar L
Autour A
Ma X
Vergier B
Eduati F
Merten CA
Source :
Trends in cell biology [Trends Cell Biol] 2022 Nov; Vol. 32 (11), pp. 947-961. Date of Electronic Publication: 2022 May 13.
Publication Year :
2022

Abstract

Engineering and computational advances have opened many new avenues in cancer research, particularly when being exploited in interdisciplinary approaches. For example, the combination of microfluidics, novel sequencing technologies, and computational analyses has been crucial to enable single-cell assays, giving a detailed picture of tumor heterogeneity for the very first time. In a similar way, these 'tech' disciplines have been elementary for generating large data sets in multidimensional cancer 'omics' approaches, cell-cell interaction screens, 3D tumor models, and tissue level analyses. In this review we summarize the most important technology and computational developments that have been or will be instrumental for transitioning classical cancer research to a large data-driven, high-throughput, high-content discipline across all biological scales.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1879-3088
Volume :
32
Issue :
11
Database :
MEDLINE
Journal :
Trends in cell biology
Publication Type :
Academic Journal
Accession number :
35577671
Full Text :
https://doi.org/10.1016/j.tcb.2022.04.008