O'Hurley Gillian, Busch Christer, Fagerberg Linn, Hallström Björn M, Stadler Charlotte, Tolf Anna, Lundberg Emma, Schwenk Jochen M, Jirström Karin, Bjartell Anders, Gallagher William M, Uhlén Mathias, Pontén Fredrik
Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden; UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland; OncoMark Ltd, NovaUCD, Belfield Innovation Park, Belfield, Dublin 4, Ireland.
Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
PLoS One. 2015 Aug 3;10(8):e0133449. doi: 10.1371/journal.pone.0133449. eCollection 2015.
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.
为了更好地理解前列腺功能和疾病,明确并探究表征前列腺的分子成分至关重要。本研究的目的是与其他26种人体组织相比,确定前列腺特异性转录组和蛋白质组。结合mRNA深度测序(RNA-seq)和基于免疫组织化学的蛋白质分析,以识别前列腺特异性基因表达模式,并探索可用于前列腺癌诊断的潜在临床应用的组织生物标志物。我们鉴定出203个在前列腺中表达上调的基因,其中22个与所有其他组织类型相比,表达水平高出五倍以上。除了先前已知的蛋白质外,我们还鉴定出两种特征不明的蛋白质,即跨膜蛋白79(TMEM79)和酰基辅酶A氧化酶样蛋白(ACOXL),它们有可能在组织活检中区分良性和癌性前列腺组织。总之,我们应用全基因组分析,通过转录组学和基于抗体的蛋白质分析来鉴定前列腺特异性蛋白质组,以识别在前列腺中表达上调的基因。我们的数据为进一步的功能研究提供了一个起点,以探索正常和患病前列腺的分子组成,包括潜在的前列腺癌标志物,如TMEM79和ACOXL。