Open Source Data

GEO: Human prostate luminal epithelia adopt a club-like state in response to low androgen levels

Spatial transcriptomics of treatment naive and 5-alpha reductase inhibitior treated human BPH tissue

Read more..


GEO: Single cell RNA-sequencing of verumontanum region and peripheral zone of normal human prostate

Dissected verumontanum region and peripheral zone region from a normal human prostate sample were digested into single-cell suspensions, cells were subject to single-cell RNA-sequencing using the 10x Genomics platform

Read more..


GEO: Bulk RNA-sequencing of fibroblasts isolated by FACS from normal human prostate

Differential expression of prostatic fibroblasts were determined using RNA-sequencing of FACS sorted fibroblasts from normal human prostate transition and peripheral.

Read more..


GEO: Single-cell RNA-sequencing of adult human normal and BPH (glandular and stroma) prostates and urethra

Single-cell RNA-sequencing of adult human prostates and urethras from organ donors, and BPH (glandular and stromal) patients.

Read more..


GEO: Single-cell RNA-sequencing of adult mouse lower urinary tracts v2

Single-cell RNA-sequencing of adult mouse prostates and urethras.

Read more..


GUDMAP: Single cell analysis of mouse and human prostate reveals novel fibroblasts with specialized distribution and microenvironment interactions

Sequencing data relating to the in preparation publication: 'Single cell analysis of mouse and human prostate reveals novel fibroblasts with specialized distribution and microenvironment interactions'

Read more..


GUDMAP: Urethral luminal epithelia are castration-insensitive cells of the proximal prostate

Figures and data relating to the 2020 Prostate paper titled “Urethral luminal epithelia are castration‐insensitive cells of the proximal prostate”. This study utilizes single-cell RNA-sequencing (scRNA-Seq) on whole prostate tissues from healthy organ donors, basal cell hyperplasia patients, as well as mouse prostate and urethral tissues.

Read more..


GEO: Single-cell RNA-sequencing of adult mouse lower urinary tracts

Single-cell RNA-sequencing of adult mouse prostates and urethras.

Read more..


GEO: Single-cell RNA-sequencing of adult human prostates and urethra (normal and diseased)

Single-cell RNA-sequencing of adult human prostates from organ donors, and BPH (glandular) patients.

Read more..


FLOWRepository: OMIP-040: Optimized gating of human prostate cellular subpopulations

Epithelia, stoma and leukocytes can be isolated using CD45 and CD326. Epithelia are CD326Pos/CD45Neg, leukocytes are CD45Pos/CD26Neg, while stroma are double negative for these markers. Stroma can be separated into endothelia and fibromuscular stroma with CD31. Endothelia are CD31Pos while fibromuscular stroma are CD31Neg. Epithelia can also be divided into basal and luminal epithelia using the basal marker CD271 and the luminal marker CD26.

Read more..


GEO: Bulk RNA-sequencing of cell types isolated by FACS from normal human prostates

Differential expression of prostatic cell types were determined using RNA-sequencing of FACS sorted cell types from normal human prostates. The cell types sequenced were basal epithelia, luminal epithelia, a heterogeneous fibromuscular stroma and a poorly understood 'other' epithelial population.

Read more..


GEO: Single Cell RNA-sequencing of cell types isolated by FACS from normal human prostates

Single-cell RNA-sequencing was conducted on specific cell types and heterogeneous viable cells (sorted by FACS) in order to determine a cellular atlas of the normal human prostate.

Read more..


GUDMAP: Determining cellular heterogeneity in the human prostate with single-cell RNA sequencing

Figures and data relating to the 2018 Cell Reports paper titled “A Cellular Anatomy of the Normal Adult Human Prostate and Prostatic Urethra”. This study utilizes single-cell RNA-sequencing (scRNA-Seq) on whole prostate tissue and FACS sorted cell populations from healthy organ donors to predict the cellular composition of the normal human prostate.

Read more..