Intraline genomic heterogeneity of the triple-negative breast cancer MDA-MB-231-luc-GFP cell line
Cancer cell lines are valuable models for studying tumor biology, yet their genomic evolution during culture can compromise experimental reproducibility. We conducted a detailed genomic analysis of the triple-negative breast cancer cell line MDA-MB-231-luc-GFP, examining sublines obtained from different sources, at various time points, and across distinct passages. We introduce the concept of intraline heterogeneity (ILH) to highlight the genomic variability observed among these sublines. Our analyses revealed extensive genomic diversity, including differences in single-nucleotide variants (SNVs) and copy number alterations (CNAs). In particular, CNAs exhibited remarkable heterogeneity, with pronounced chromosomal gains and losses between sublines, underscoring the impact of genomic instability on ILH. These findings suggest that ILH may influence experimental outcomes, emphasizing the importance of considering passage-specific genomic characterization to ensure consistency and reliability in cancer research.
Authors
- Nuria Estévez‐Gómez (ORCID: https://orcid.org/0000-0002-7281-3137)
- Juan J. Pasantes (ORCID: https://orcid.org/0000-0001-6515-3946)
- Cristóbal Fernández-Santiago (ORCID: https://orcid.org/0000-0001-5532-8503)
- David Posada (ORCID: https://orcid.org/0000-0003-1407-3406)
- João M. Alves (ORCID: https://orcid.org/0000-0002-9599-5463)
- Daniel García‐Souto (ORCID: https://orcid.org/0000-0002-0997-8799)
- Nair Varela (ORCID: https://orcid.org/0000-0002-1360-2890)
- Roberto Piñeiro (ORCID: https://orcid.org/0000-0001-9479-139X)
- Laura Tomás (ORCID: https://orcid.org/0000-0001-9848-002X)
- Míriam Pérez
Institutions
- Consejo Superior de Investigaciones Científicas (ES)
- Universidade de Santiago de Compostela (ES)
- Galicia Sur Biomedical Foundation (ES)
- Instituto de Investigacións Mariñas (ES)
- Instituto de Investigación Sanitaria de Santiago (ES)
- Servicio Gallego de Salud (ES)
- Universidade de Vigo (ES)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.06.033
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerio de Ciencia e Innovación