Dataset Information

Single cell transcriptome analysis (scRNASeq) and inferred single cell copy number variations (scCNVs) of cancer associated fibroblast (CAFs) populations in murine KPC pancreatic tumors

ABSTRACT: To study possible CNVs and genes affected by CNVs in the cancer associated fibroblast populations of pancreatic cancers, we applied single cell sequencing technology (10x Genomics) to identify different subpopulations in murine KPC pancreatic tumors and pancreata of age- and gender-matched non-tumor bearing mice. Single cell RNA sequencing (scRNA-Seq) identified three major CAF subpopulations which were interrogated together with the ductal carcinoma population for CNVs using a previously reported inferCNV algorithm. Fibroblasts and ductal cells identified by scRNA-Seq in normal, uninvolved pancreas were used as reference and inferCNVs in both CAF and ductal carcinoma cells were validated with CNVs previously reported within a large high-resolution array comparative genomic hybridization (aCGH) of KPC tumors. CNVs were exclusively detected in the myelofibroblastic cancer associated fibroblast (myCAF) subpopulation and not in the other CAF phenotypes. In comparison to ductal carcinoma cells, myCAFs were less frequently affected by CNVs. CNVs in the myCAFs which were unique for the myCAFs and not shared with gene loci affected by CNVs in ductal carcinoma cells included known regulators of CAF activation, CAF-mediated cancer cell invasion, or antagonists of TGFβ signaling.

ORGANISM(S): Mus musculus

PROVIDER: GSE180859 | GEO | 2021/07/29

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:ABSTRACT Background: Human breast cancer most frequently originates within a well-defined anatomical structure referred to as the terminal duct lobular unit (TDLU). This structure is endowed with its very own lobular fibroblasts representing one out of two steady-state fibroblast subtypes – the other being interlobular fibroblasts. While cancer associated fibroblasts (CAFs) are increasingly appreciated as covering a spectrum of perturbed states, we lack a coherent understanding of their relationship – if any - with the steady-state fibroblast subtypes. To address this, we here established two autologous CAF lines representing inflammatory CAFs (iCAFs) and myofibroblast CAFs (myCAFs), and compared them with already established interlobular- and lobular fibroblasts with respect to their origin and impact on tumor formation. Methods: Primary breast tumor derived CAFs were transduced to express human telomerase reverse transcriptase (hTERT) and sorted into CD105low and CD105high populations using fluorescence activated cell sorting (FACS). The two populations were tested for differentiation similarities to iCAF and myCAF states through transcriptome-wide RNA-Sequencing (RNA-Seq) including comparison to an available iCAF-myCAF cell state atlas. Inference of origin in interlobular and lobular fibroblasts relied on RNA-seq profiles, immunocytochemistry and growth characteristics. Osteogenic differentiation and bone formation assays in culture and in vivo were employed to gauge for origin in bone marrow mesenchymal stem cells (bMSCs). Functional characteristics were assessed with respect to contractility in culture and interaction with tumor cells in mouse xenografts. The cells’ gene expression signatures were tested for association with clinical outcome of breast cancer patients using survival data in The Cancer Genome Atlas database (TCGA). Results: We demonstrate that iCAFs have properties in common with interlobular fibroblasts while myCAFs and lobular fibroblasts are related. None of the CAFs qualify as bMSCs as revealed by lack of critical performance in bone formation assays. Functionally, myCAFs and lobular fibroblasts are almost equally tumor promoting as opposed to iCAFs and interlobular fibroblasts. A myCAF gene signature is found to associate with poor breast cancer specific survival. Conclusions: We propose that iCAFs and myCAFs originate in interlobular and lobular fibroblasts, respectively, and more importantly, that the tumor promoting properties of lobular fibroblasts renders the TDLU an epicenter for breast cancer evolution.

Dataset Information

Single cell transcriptome analysis (scRNASeq) and inferred single cell copy number variations (scCNVs) of cancer associated fibroblast (CAFs) populations in murine KPC pancreatic tumors

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets