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Analysis of the Human Prostate-Specific Proteome Defined by Transcriptomics and Antibody-Based Profiling Identifies TMEM79 and ACOXL as Two Putative, Diagnostic Markers in Prostate Cancer.

O'Hurley, Gillian ; Busch, Christer ; Fagerberg, Linn ; Hallström, Björn M ; Stadler, Charlotte ; Tolf, Anna ; Lundberg, Emma ; Schwenk, Jochen M ; Jirström, Karin LU orcid and Bjartell, Anders LU , et al. (2015) In PLoS ONE 10(8).
Abstract
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... (More)
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. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
10
issue
8
article number
e0133449
publisher
Public Library of Science (PLoS)
external identifiers
  • pmid:26237329
  • wos:000358942400012
  • scopus:84941979009
  • pmid:26237329
ISSN
1932-6203
DOI
10.1371/journal.pone.0133449
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Pathology, (Lund) (013030000), Faculty of Medicine (000022000), Division of Urological Cancers (013243420)
id
54c60a9f-dbc6-42ca-a0b5-e5129a9edb68 (old id 7844946)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26237329?dopt=Abstract
date added to LUP
2016-04-01 13:11:05
date last changed
2024-01-09 08:49:50
@article{54c60a9f-dbc6-42ca-a0b5-e5129a9edb68,
  abstract     = {{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.}},
  author       = {{O'Hurley, Gillian and Busch, Christer and Fagerberg, Linn and Hallström, Björn M and Stadler, Charlotte and Tolf, Anna and Lundberg, Emma and Schwenk, Jochen M and Jirström, Karin and Bjartell, Anders and Gallagher, William M and Uhlén, Mathias and Pontén, Fredrik}},
  issn         = {{1932-6203}},
  language     = {{eng}},
  number       = {{8}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS ONE}},
  title        = {{Analysis of the Human Prostate-Specific Proteome Defined by Transcriptomics and Antibody-Based Profiling Identifies TMEM79 and ACOXL as Two Putative, Diagnostic Markers in Prostate Cancer.}},
  url          = {{https://lup.lub.lu.se/search/files/3208562/8603159.pdf}},
  doi          = {{10.1371/journal.pone.0133449}},
  volume       = {{10}},
  year         = {{2015}},
}