Brca1 Brca2 Analysis
Brca1 Brca2 Analysis - Related Videos
08:15
gDNA Enrichment by a Transposase-based Technology for NGS Analysis of the Whole Sequence of BRCA1, BRCA2, and 9 Genes Involved in DNA Damage Repair
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2014
gDNA enrichment for NGS sequencing is an easy and powerful tool for the study of constitutional mutations. In this article, we present the procedure to analyse simply the complete sequence of 11 genes involved in DNA damage repair.
09:24
Silencing of BRCA2 to Identify Novel BRCA2-regulated Biological Functions in Cultured Human Cells
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Cited by 1 •
2015
Gene silencing by siRNA represents a convenient experimental strategy to analyze BRCA2-dependent biological functions with immediate implications to better understand cancer biology. A method to efficiently silence BRCA2, along with the experimental procedure to detect and quantify changes in BRCA2 protein expression by immunoblotting in human cell lines, is presented.
08:53
Identifying the Effects of BRCA1 Mutations on Homologous Recombination using Cells that Express Endogenous Wild-type BRCA1
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Cited by 15 •
2011
We provide a method for testing BRCA1 variants in a tissue culture based assay for homologous recombination repair of DNA damage by depleting endogenous BRCA1 protein from a cell using RNAi and replacing it with a BRCA1 point mutant that contains a coding change.
09:22
Functional Assessment of BRCA1 variants using CRISPR-Mediated Base Editors
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Cited by 1 •
2021
People with BRCA1 mutations have a higher risk of developing cancer, which warrants accurate evaluation of the function of BRCA1 variants. Herein, we described a protocol for functional assessment of BRCA1 variants using CRISPR-mediated cytosine base editors that enable targeted C:G to T:A conversion in living cells.
15:04
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
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Cited by 46 •
2009
This article describes a novel protocol and reagent set designed for sensitive measurement of neurotoxic effects of compounds and treatments on co-cultures of neurons and astrocytes using high content analysis. Results demonstrate that high content analysis represents an exciting novel technology for neurotoxicity assessment.
FAQs
Pathogenic changes in BRCA1 or BRCA2 can disrupt DNA-damage repair, weakening a tumor-suppressor function. This defect can promote genomic instability, meaning greater accumulation of damage across cells. The analysis therefore connects a specific variant to repair failure, cancer susceptibility, and the study of homologous recombination in biology.
The distinction identifies different sources of risk and different uses for the result. An inherited variant can support hereditary cancer risk assessment, whereas an acquired tumor variant can provide information relevant to treatment selection. Both contexts also help researchers relate DNA-repair defects to cancer development.
A variant should not be judged from sequence data alone. Bioinformatic and clinical interpretation classifies changes as pathogenic, benign, or uncertain. When available, functional assessment can clarify whether a change affects gene function. This layered approach supports a more precise distinction between disease-associated findings and changes whose significance remains unresolved.
A typical workflow begins with DNA sequencing of BRCA1 and BRCA2, then adds deletion or duplication testing when needed. The resulting data undergo bioinformatic analysis and clinical interpretation to evaluate variant significance. Functional assessment may follow if the effect of a variant remains unclear, creating a more complete evidence base for the finding.
It is useful when a person or family requires hereditary cancer risk assessment, or when a tumor result may inform treatment selection. Findings can also guide surveillance and preventive decisions. In research, the analysis helps investigate how DNA-repair changes relate to genomic instability and cancer development.
By linking gene variants with repair function, BRCA1 and BRCA2 analysis supports investigation of homologous recombination, genomic instability, and cancer development. Researchers can use variant classifications and functional evidence to connect molecular changes with broader biological patterns, while clinical teams apply the same information to risk assessment and selected treatment decisions.