# Charting clonal evolution and behavior with GoT-Multi

## TL;DR

The paper introduces GoT-Multi, a new method to track clonal evolution in diseases by analyzing transcriptomes, offering insights into cellular states and disease progression.

## Contribution

The novel contribution is the development of GoT-Multi, a technology for multi-target transcriptome genotyping that reveals cellular states in clonal evolution.

## Key findings

- GoT-Multi enables insights into cellular states mediating clonal evolution in diseases like Richter transformation of chronic lymphocytic leukemia.
- The method reveals convergence of cell states despite distinct driver mutations.

## 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.

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.