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Updated: Jan 18, 2026

Characterizing Mutational Load and Clonal Composition of Human Blood

Characterizing Mutational Load and Clonal Composition of Human Blood

Published on: July 11, 2019

Charting clonal evolution and behavior with GoT-Multi.

Jonas A Gudera¹, Vijay G Sankaran²

¹Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.

|January 15, 2026

Summary

This summary is machine-generated.

New Genotyping of Transcriptomes for multiple targets and sample types (GoT-Multi) technology tracks clonal evolution in diseases. This method reveals cellular states driving disease progression and convergent cell states, even with different mutations.

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Published on: December 28, 2015

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Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

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VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma

Published on: December 28, 2015

Area of Science:

Genomics
Molecular Biology
Cancer Research

Background:

Tracking clonal evolution is crucial for understanding normal physiology and disease mechanisms.
Disruptions in cellular processes underlie various diseases, necessitating advanced tracking methods.

Purpose of the Study:

To introduce Genotyping of Transcriptomes for multiple targets and sample types (GoT-Multi), a novel technology.
To demonstrate GoT-Multi's capability in elucidating cellular states involved in clonal evolution during disease.

Main Methods:

Development of the GoT-Multi technology for comprehensive genetic analysis.
Application of GoT-Multi to study clonal evolution in disease models.

Main Results:

GoT-Multi enables detailed insights into cellular states mediating clonal evolution.
The study observed convergent cell states in diseases like Richter transformation of chronic lymphocytic leukemia.
Convergence was identified even among cells with distinct driver mutations.

Conclusions:

GoT-Multi is a powerful tool for investigating clonal evolution and cellular dynamics in disease.
Understanding convergent cell states offers new perspectives on disease mechanisms and potential therapeutic targets.