Somatic Mutagenesis
Somatic Mutagenesis - Related Videos
07:06
Tissue Regeneration with Somatic Stem Cells
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2023
Somatic or adult stem cells, like embryonic stem cells, are capable of self-renewal but demonstrate a restricted differentiation potential. Nonetheless, these cells are crucial to homeostatic processes and play an important role in tissue repair. By studying and manipulating this cell population, scientist may be able to develop new regenerative therapies for injuries and diseases. This video first defines somatic stem cells, and then explores the role these cells play in tissue regeneration.
13:18
Single Oocyte Bisulfite Mutagenesis
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Cited by 14 •
2012
Bisulfite mutagenesis is the gold standard for analyzing DNA methylation. Our modified protocol allows for DNA methylation analysis at the single-cell level and was specifically designed for individual oocytes. It can also be used for cleavage-stage embryos.
04:51
Optogenetic Random Mutagenesis Using Histone-miniSOG in C. elegans
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Cited by 6 •
2016
Genetically-encoded histone-miniSOG induces genome-wide heritable mutations in a blue light-dependent manner. This mutagenesis method is simple, fast, free of toxic chemicals, and well-suited for forward genetic screening and transgene integration.
10:44
An Introduction to Worm Lab: from Culturing Worms to Mutagenesis
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Cited by 27 •
2011
Screening for mutants with phenotypic defects is a straightforward method for identifying genes that function in a given biological process. In this article we describe how to culture free living worms (e.g., Pristionchus pacificus) in the laboratory and show two different mutagenesis methods, EMS and TMP/UV.
09:01
Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Cited by 12 •
2011
Here we demonstrate a simple protocol to create a random mutant library for a given target sequence. We show how this method, which is performed in vivo in Escherichia coli, can be coupled with functional selections to evolve new enzymatic activities.
FAQs
Driver mutations alter cellular behavior in ways that can support growth or survival, giving affected cells a selective advantage. Passenger mutations accompany this expansion but do not provide the same benefit. Distinguishing these categories helps cancer researchers identify alterations most likely to contribute directly to tumor development rather than treating every detected sequence change as equally important.
A sequence change does not have a uniform consequence across all cells. Its effect depends on the affected gene, the type of DNA alteration, and the surrounding cellular context. These factors help determine whether a mutation changes cell behavior, remains harmless, or contributes to clonal expansion, making biological interpretation essential when analyzing tumor genomes.
When DNA damage or replication errors escape repair, they can accumulate as permanent sequence changes. A defective repair pathway may therefore leave a recognizable pattern across the genome, known as a mutational signature. Studying these patterns can help researchers infer contributing biological processes and connect particular mutation profiles with mechanisms that shaped a cancer.
Repeated alterations can create subpopulations of cells with different growth or survival properties. Cells carrying advantageous changes may expand more successfully, causing the tumor to acquire a history of successive clonal changes. Reconstructing these patterns allows cancer researchers to examine how tumors develop over time and separate influential alterations from changes that simply accumulated during expansion.
Researchers sequence tumor genomes and examine the resulting DNA changes for their locations, types, and broader patterns. They then assess whether groups of alterations form mutational signatures or correspond to genes associated with altered cell behavior. This workflow supports interpretation of the tumor’s mutation history and helps connect observed changes with possible repair defects or exposures.
Analysis of somatic mutations can help identify cancer-related alterations, distinguish them from harmless passenger changes, and reconstruct tumor evolution. Mutational signatures may provide clues about contributing exposures or defective repair pathways. Together, these findings can support cancer diagnosis, prognosis assessment, and the development of targeted treatment strategies based on the tumor’s molecular features.