LCN2-Deficient PC-3 Cells: Functional and Genomic Characterization Data

A 13.7 MB Excel file containing functional and genomic characterization data for prostate cancer cell lines. The dataset, created by Kiara Gäberlein and last updated in April 2026, compares parental PC-3 cells with a newly created LCN2-deficient clone using CRISPR/Cas9 and next-generation sequencing. It provides insights into genes and pathways related to inflammation, stress response, and cytoskeletal organization in aggressive prostate cancer.

Use Cases

• Identify differentially expressed genes related to LCN2 depletion based on next-generation sequencing data mentioned in the description
• Analyze the link between LCN2 and chromosomal instability based on spectral karyotyping (SKY) and micronuclei analysis results
• Investigate pathways involving inflammation and endoplasmic reticulum stress in prostate cancer cells based on described functional roles
• Validate CRISPR/Cas9 editing outcomes and associated genomic changes in a prostate cancer model cell line

Strengths

• Data is validated using multiple techniques, including STR analysis, RT-qPCR, and spectral karyotyping, as described.
• The dataset is licensed under CC-BY-4.0, allowing for open sharing and adaptation.
• Focuses on a specific, well-defined biological model (PC-3 cells) and intervention (LCN2 knockout).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The 13.7 MB file size suggests a relatively small dataset.

Provenance

Source

figshare

Collection Method

Genetic analysis of cell lines using CRISPR/Cas9 editing, next-generation sequencing, STR analysis, and RT-qPCR.

Freshness

Last updated 2026-04-20 09:07:40; freshness should be verified.