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Charting clonal evolution and behavior with GoT-Multi.

Cell genomics 2026 Vol.6(1) p. 101077

Gudera JA, Sankaran VG

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Tracking clonal evolution is critical to fully define the mechanisms of normal physiology and the disruptions of these processes in disease.

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BibTeX ↓ RIS ↓
APA Gudera JA, Sankaran VG (2026). Charting clonal evolution and behavior with GoT-Multi.. Cell genomics, 6(1), 101077. https://doi.org/10.1016/j.xgen.2025.101077
MLA Gudera JA, et al.. "Charting clonal evolution and behavior with GoT-Multi.." Cell genomics, vol. 6, no. 1, 2026, pp. 101077.
PMID 41539290

Abstract

Tracking clonal evolution is critical to fully define the mechanisms of normal physiology and the disruptions of these processes in disease. In this issue of Cell Genomics, Pak and Saurty-Seerunghen et al. describe the development of Genotyping of Transcriptomes for multiple targets and sample types (GoT-Multi) and show how this new technology enables insights into cellular states that mediate clonal evolution in diseases, such as the Richter transformation of chronic lymphocytic leukemia, while also revealing convergence of cell states, even with distinct driver mutations.

MeSH Terms

Humans; Clonal Evolution; Leukemia, Lymphocytic, Chronic, B-Cell; Mutation; Transcriptome