ArticleiScience2025
Multi-cellular phenotypic dynamics during the progression of an immunocompetent breast cancer model.
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The trial behind it
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Who cites it
2 citing papers in PubMed.
- Dissociation of Murine Mammary Gland and Tumor Tissues to Create Highly Viable Single-Cell Suspensions.Journal of visualized experiments : JoVE · 2026Article
- Temporal molecular remodeling of T cells informs their possible adaptation in 4T1 tumors.Computational and structural biotechnology journal · 2026Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The breast tumor microenvironment (TME) has recently been profiled at high resolution by performing single-cell RNA sequencing (scRNAseq) on patient samples. However, from patients' samples, analyzing the temporal dynamics of the TME is ethically, practically and scientifically challenging. Revealing these dynamics could structure inter-tumor heterogeneity into a temporally ordered sequence of causes and consequences in cellular events. Here, we survey the dynamics of the TME by performing scRNAseq at different time points of the progression of a mouse breast tumor allograft model driven by the PyMT antigen. We find that multi-cellular phenotypic dynamics follow one of three possible temporal patterns: stable colonization, wave-like, or progressive increase. In particular, IFN-responsive cancer cells,
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.