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Cancers Originate from Somatic Mutations in a Single Cell

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...

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Related Experiment Video

Updated: Dec 10, 2025

Author Spotlight: Shear Assay Protocol for the Determination of Single-Cell Material Properties

Author Spotlight: Shear Assay Protocol for the Determination of Single-Cell Material Properties

Published on: May 19, 2023

Mapping cancer genetics at single-cell resolution.

Luke A Gilbert^1,2,3,4

¹Department of Urology, University of California, San Francisco, San Francisco, CA 94158, USA.

Science Translational Medicine

|August 28, 2020

Summary

This summary is machine-generated.

CRISPR genetic interaction mapping identifies gene networks crucial for cancer development. This approach helps uncover complex biological pathways driving cancer phenotypes.

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Area of Science:

Genomics
Cancer Biology
Molecular Genetics

Background:

Understanding gene interactions is key to deciphering complex diseases like cancer.
Cancer phenotypes are driven by intricate networks of genetic alterations.

Purpose of the Study:

To employ CRISPR genetic interaction mapping to identify gene networks influencing cancer phenotypes.
To provide a comprehensive map of genetic interactions relevant to cancer biology.

Main Methods:

Utilized CRISPR screening technology for high-throughput genetic interaction mapping.
Analyzed genetic interaction data to identify functional gene networks.

Main Results:

Discovered novel networks of interacting genes that significantly impact cancer phenotypes.
Validated key genetic interactions through functional assays.

Conclusions:

CRISPR genetic interaction mapping is a powerful tool for dissecting cancer-driving gene networks.
The identified networks offer potential targets for cancer therapy.