A modular lentiviral system for multiplexed gene perturbation and functional analysis suggests interdependence of hormone receptors in breast cancer growth in vivo.
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Alam S, Matvienko D, Boström J, Pires MJ, Papadimitropoulou A, Eshtad S, Sanjiv K, Qian H, Valerie NC, Brisken C, Altun M
Life Sci. Alliance 10 (1) - [2027-01-00; online 2026-11-05]
Precise and flexible control of gene expression is essential for dissecting gene function in complex biological systems. Although recent developments in genetic engineering and CRISPR/Cas9 technology have expanded tools for gene activation, suppression, and editing, their application in physiologically relevant models remains challenging, time-consuming, and expensive. Here, we present a modular, doxycycline-inducible vector system that integrates gene overexpression, shRNA-mediated knockdown, and CRISPR/Cas9-mediated regulation within a single, lentivirus-compatible system. The modular design allows rapid exchange of selection markers, epitope tags, and reporters via Gateway cloning, providing broad adaptability across experimental settings. In addition to standard fluorescent and luminescent reporters, the system includes advanced sensors, such as Fucci cell cycle reporters, to enable monitoring of cellular processes. By combining fluorescence barcoding with combinatorial genetic perturbations, the platform supports multiplexed analysis of gene function and genetic interactions through phenotypic characterization by fluorescence imaging or flow cytometry. We demonstrate its utility in vivo with breast cancer intraductal xenografts, which suggest that ER+ breast cancer cells (MCF7) rely on androgen, estrogen, and progesterone receptors for in vivo growth. This versatile gene perturbation system provides tight temporal control, streamlined implementation, and high-content phenotyping capacity facilitating efficient in vitro and in vivo studies while reducing the use of animals in in vivo validation experiments. It thus expands the experimental repertoire for dynamic, multigene interrogation in complex systems.
NGI Stockholm (Genomics Production) [Service]
National Genomics Infrastructure [Service]
PubMed 42988560
DOI 10.26508/lsa.202603911
Crossref 10.26508/lsa.202603911
pmc: PMC13740142
pii: 10/1/e202603911