Delineating the heterogeneity of mesenchyme lineages in mutation-driven prostate carcinogenesis via single-cell profiling
Year: 2022
Type: dataset
Abstract: These are the count matrices (in .h5ad format) used to produce the results and figures in the paper entitled "distinct mesenchymal cell states mediate prostate cancer progression". adata_mouse.h5ad: the normalized count matrix and cell annotations for the mesenchymal prostate data from all mouse models. adata_mouse_myo.h5ad: the normalized count matrix for the myofibroblasts and pericytes (both are c0). scenic_mesenchyme_auc.csv: the auc matrix of the regulons activity in the different cells and clusters in the mouse mesenchymal data. scenic_mesenchyme_binary.csv: the binary matrix of regulons activity in the mouse mesenchymal data. adata_human.h5ad: the normalized count matrix and cell annotations for the mesenchymal human primary prostate cancer data. adata_human_boneMet_stroma.h5ad: the normalized count matrix and cell annotation for the bone metastasis data derived from Kfoury et al. visium_PRN.h5ad: the normalized count matrix and cell annotation for the Visium spatial transcriptomics data of the PRN mouse model. visium_WT.h5ad: the normalized count matrix and cell annotation for the Visium spatial transcriptomics data of the WT (PRN-WT) mouse model. natHistory_expression: the normalized expression matrix for the natural history cohort. natHistory_label: the metastasis indicators for the natural history cohort.
Authors: Pakula, Hubert, Omar, Mohamed, Carelli, Ryan, Pederzoli, Filippo, Fanelli, Giuseppe Nicolò, Pannellini, Tania, Emmenis, Lucie Van, Rodrigues, Silvia, Fidalgo-Ribeiro, Caroline, Nuzzo, Pier V., Brady, Nicholas J., Jere, Madhavi, Unkenholz, Caitlin, Mohammad, Mohammad, Khani, Francesca, de Almeida, Francisca Nunes, Rickman, David S., Barbieri, Christopher E., Robinson, Brian D., Marchionni, Luigi, Loda, Massimo
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4394052331