Tumors are complex ecosystems, in which malignant and non-malignant cells engage in continuous interactions. Cancer associated fibroblasts (CAFs) are the most abundant non-malignant cells in the majority of carcinomas. The wide range of activities that CAFs perform suggests a dynamic and heterogeneous composition, yet tumor infiltrating CAF subpopulations remain poorly characterized. Here we used single-cell RNA sequencing, index sorting and bulk RNA sequencing to map CAFs at various stages of tumor progression and metastasis. SOURCE: Ido Amit (ido.amit@weizmann.ac.il) -  Weizmann Institute of Science

GSE149635: Single cell mapping of breast tumor stroma reveals dynamically evolving compositions of cancer-associated fibroblasts along tumor progression (scRNA-seq dataset)

Pluto Bioinformatics

GSE149635: Single cell mapping of breast tumor stroma reveals dynamically evolving compositions of cancer-associated fibroblasts along tumor progression (scRNA-seq dataset)