Project description:Tumor-associated blood vessels differ from normal vessels at the morphological and molecular level. Proteins that are only present on tumor vessels may serve as biomarkers and as therapeutic targets for inhibition of angiogenesis in cancer. Comparing the transcriptional profiles of blood vascular endothelium from human invasive bladder cancer and from normal bladder tissue, we found several markers that could serve as novel biomarkers or therapeutic targets. In this dataset, we include the expression data obtained from laser capture microdissected (LCM) vessels isolated from tumor and bladder normal tissue. 10 samples were analyzed. We compared expression of tumor associated blood vessels with expression of vessels in the normal bladder tissue using Genespring GX 12.
Project description:Cancer associated fibroblasts (CAFs) are integral to the solid tumor microenvironment. Once thought to be a relatively uniform population of matrix-producing cells, the arrival of single cell RNA sequencing has revealed diverse CAF phenotypes. Here, we further probe CAF heterogeneity with a comprehensive multiome approach. Using paired, same-cell chromatin accessibility and transcriptome analysis, we provide an integrated analysis of CAF subpopulations over a complex spatial transcriptomic and proteomic landscape to identify three superclusters – steady state-like (SSL), mechanoresponsive (MR) and immunomodulatory (IM) CAFs. These superclusters are recapitulated across multiple tissue types and species. Selective disruption of underlying mechanical force or immune checkpoint inhibition therapy results in shifts in CAF subpopulation distributions and impacts tumor growth. As such, the balance among CAF superclusters may have considerable translational implications. Collectively, this research expands our understanding of CAF biology, identifying regulatory pathways in CAF differentiation and elucidating novel therapeutic targets in a species- and tumor-agnostic manner.
Project description:Cancer associated fibroblasts (CAFs) are integral to the solid tumor microenvironment. Once thought to be a relatively uniform population of matrix-producing cells, the arrival of single cell RNA sequencing has revealed diverse CAF phenotypes. Here, we further probe CAF heterogeneity with a comprehensive multiome approach. Using paired, same-cell chromatin accessibility and transcriptome analysis, we provide an integrated analysis of CAF subpopulations over a complex spatial transcriptomic and proteomic landscape to identify three superclusters – steady state-like (SSL), mechanoresponsive (MR) and immunomodulatory (IM) CAFs. These superclusters are recapitulated across multiple tissue types and species. Selective disruption of underlying mechanical force or immune checkpoint inhibition therapy results in shifts in CAF subpopulation distributions and impacts tumor growth. As such, the balance among CAF superclusters may have considerable translational implications. Collectively, this research expands our understanding of CAF biology, identifying regulatory pathways in CAF differentiation and elucidating novel therapeutic targets in a species- and tumor-agnostic manner.
Project description:Cancer associated fibroblasts (CAFs) are integral to the solid tumor microenvironment. Once thought to be a relatively uniform population of matrix-producing cells, the arrival of single cell RNA sequencing has revealed diverse CAF phenotypes. Here, we further probe CAF heterogeneity with a comprehensive multiome approach. Using paired, same-cell chromatin accessibility and transcriptome analysis, we provide an integrated analysis of CAF subpopulations over a complex spatial transcriptomic and proteomic landscape to identify three superclusters – steady state-like (SSL), mechanoresponsive (MR) and immunomodulatory (IM) CAFs. These superclusters are recapitulated across multiple tissue types and species. Selective disruption of underlying mechanical force or immune checkpoint inhibition therapy results in shifts in CAF subpopulation distributions and impacts tumor growth. As such, the balance among CAF superclusters may have considerable translational implications. Collectively, this research expands our understanding of CAF biology, identifying regulatory pathways in CAF differentiation and elucidating novel therapeutic targets in a species- and tumor-agnostic manner.
Project description:Cancer associated fibroblasts (CAFs) are integral to the solid tumor microenvironment. Once thought to be a relatively uniform population of matrix-producing cells, the arrival of single cell RNA sequencing has revealed diverse CAF phenotypes. Here, we further probe CAF heterogeneity with a comprehensive multiome approach. Using paired, same-cell chromatin accessibility and transcriptome analysis, we provide an integrated analysis of CAF subpopulations over a complex spatial transcriptomic and proteomic landscape to identify three superclusters – steady state-like (SSL), mechanoresponsive (MR) and immunomodulatory (IM) CAFs. These superclusters are recapitulated across multiple tissue types and species. Selective disruption of underlying mechanical force or immune checkpoint inhibition therapy results in shifts in CAF subpopulation distributions and impacts tumor growth. As such, the balance among CAF superclusters may have considerable translational implications. Collectively, this research expands our understanding of CAF biology, identifying regulatory pathways in CAF differentiation and elucidating novel therapeutic targets in a species- and tumor-agnostic manner.