Base Editing Screen for DNA Repair Variants in Triple-Negative Breast Cancer Cells

Approximately 11,000 single-guide RNAs (sgRNAs) targeting 27 DNA damage response genes were screened in MDA-MB-231 cells to assess variant impact on cellular fitness. The dataset integrates mutation effects with clinical annotations, created by Wardah Masud and last updated in March 2026. It is part of a standardized, cross-comparable resource that includes data from MCF7 and MCF10A breast-derived cell lines.

Use Cases

• Functional stratification of variants of uncertain significance based on integrated clinical annotations.
• Identifying shared and context-specific genetic dependencies in breast cancer cell models.
• Training models to predict the impact of DNA repair gene variants on cellular fitness.
• Advancing precision oncology approaches by interpreting DNA damage response variants.

Strengths

• Screens approximately 11,000 sgRNAs targeting 27 DNA damage response genes.
• Integrates mutation-associated effects with clinical annotations for functional stratification.
• Standardized and cross-comparable with previous datasets from MCF7 and MCF10A cell lines.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is specific to breast-derived cell models (MDA-MB-231, MCF7, MCF10A), which may limit generalizability.

Provenance

Source

figshare

Collection Method

CRISPR-dependent base editing screens performed in MDA-MB-231 triple-negative breast cancer cells.

Freshness

Last updated 2026-03-26 07:16:15