First computer program to detect DNA mutations in single cancer cells

Researchers at The University of Texas MD Anderson Cancer Center have announced a new method for detecting DNA mutations in a single cancer cell versus current technology that analyzes millions of cells which they believe could have important applications for cancer diagnosis and treatment. The results are published in the April 18 online issue of Nature Methods.

Existing technology, known as next-generation sequencing (NGS), measures genomes derived from millions of cells versus the newer method for single-cell sequencing, called Monovar. Developed by MD Anderson researchers, Monovar allows scientists to examine data from multiple single cells. The study was, in part, funded by MD Anderson’s Moon Shots Program, an unprecedented effort to significantly reduce deaths from cancer.

This led to development of newer technology, called single cell sequencing (SCS), that has had a major impact in many areas of biology, including cancer research, neurobiology, microbiology, and immunology, and has greatly improved understanding of certain tumor characteristics in cancer. Monovar improves further on the new SCS’s computational tools which scientists found “lacking” by more accurately detecting slight alterations in DNA makeup known as single nucleotide variants (SNVs).

Full news coverage can be found from  The University of Texas MD Anderson Cancer Center Website.