Work

Single-cell Resolved Oncogene Co-expression: From Principles to Clinical Impact

Year: 2025

Type: article

Abstract: This commentary explores the concept and utility of studying oncogene co-expression at single-cell resolution and its clinical and biological implications. We emphasize the importance of scalable methods, mathematically driven quantification models, and artificial intelligence integration to enhance the clinical utility of this approach.

Source: Blood Cancer Discovery

DOI: 10.1158/2643-3230.bcd-25-0064

Authors: Shruti Sridhar, Allison S.Y. Chan, Anand D. Jeyasekharan

Institutions: National University of Singapore, Cancer Science Institute of Singapore, National Cancer Centre Singapore, National University Health System

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Medical Research Council, National Medical Research Council