Spatial topology of organelle is a new breast cancer cell classifier.
Cancer
Cell biology
Organizational aspects of cell biology
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
21 Jul 2023
21 Jul 2023
Historique:
received:
05
07
2022
revised:
10
05
2023
accepted:
23
06
2023
medline:
31
7
2023
pubmed:
31
7
2023
entrez:
31
7
2023
Statut:
epublish
Résumé
Genomics and proteomics have been central to identify tumor cell populations, but more accurate approaches to classify cell subtypes are still lacking. We propose a new methodology to accurately classify cancer cells based on their organelle spatial topology. Herein, we developed an organelle topology-based cell classification pipeline (OTCCP), which integrates artificial intelligence (AI) and imaging quantification to analyze organelle spatial distribution and inter-organelle topology. OTCCP was used to classify a panel of human breast cancer cells, grown as 2D monolayer or 3D tumor spheroids using early endosomes, mitochondria, and their inter-organelle contacts. Organelle topology allows for a highly precise differentiation between cell lines of different subtypes and aggressiveness. These findings lay the groundwork for using organelle topological profiling as a fast and efficient method for phenotyping breast cancer function as well as a discovery tool to advance our understanding of cancer cell biology at the subcellular level.
Identifiants
pubmed: 37519903
doi: 10.1016/j.isci.2023.107229
pii: S2589-0042(23)01306-8
pmc: PMC10384275
doi:
Types de publication
Journal Article
Langues
eng
Pagination
107229Subventions
Organisme : NCI NIH HHS
ID : R01 CA207725
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA233188
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA274622
Pays : United States
Informations de copyright
© 2023 The Author(s).
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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