2015/08/03 by Gillian O’Hurley, Christer Busch, Linn Fagerberg +10 · 1 citation
Biochemistry, Genetics and Molecular Biology · Medicine · #Bioinformatics #Biology #Cancer #Cancer-related gene regulation #Computational biology #Ferroptosis and cancer prognosis #Gene #Gene expression #Gene expression profiling #Genetics #Medicine #PCA3 #Pathology #Prostate #Prostate Cancer Treatment and Research #Prostate Diseases #Prostate cancer #Prostatic Diseases #Proteome #Transcriptome
paper · pdf · doi:10.1371/journal.pone.0133449
openalex publication_date 2015/08/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
To better understand prostate function and disease, it is important to define and explore the molecular constituents that signify the prostate gland. The aim of this study was to define the prostate specific transcriptome and proteome, in comparison to 26 other human tissues. Deep sequencing of mRNA (RNA-seq) and immunohistochemistry-based protein profiling were combined to identify prostate specific gene expression patterns and to explore tissue biomarkers for potential clinical use in prostate cancer diagnostics. We identified 203 genes with elevated expression in the prostate, 22 of which showed more than five-fold higher expression levels compared to all other tissue types. In addition to previously well-known proteins we identified two poorly characterized proteins, TMEM79 and ACOXL, with potential to differentiate between benign and cancerous prostatic glands in tissue biopsies. In conclusion, we have applied a genome-wide analysis to identify the prostate specific proteome using transcriptomics and antibody-based protein profiling to identify genes with elevated expression in the prostate. Our data provides a starting point for further functional studies to explore the molecular repertoire of normal and diseased prostate including potential prostate cancer markers such as TMEM79 and ACOXL.