Proteomics

Dataset Information

0

Spatiotemporal proteomics of hormone treated mice (urine across time, prostate tissue)


ABSTRACT: Benign prostatic hyperplasia and related lower urinary tract symptoms remain common, costly, and impactful issues for aging males. Etiology and pathogenesis are multifactorial and include steroid hormone changes and inflammation. Noninvasive markers could one day inform personalized medicine, but interindividual variation and lack of healthy age-matched controls hamper research. Experimental models are appealing for insight into disease mechanisms. Here, we present a spatiotemporal proteomics study in a mouse model of hormone-induced urinary dysfunction. Urine samples were collected noninvasively across time: before, during, and after disease onset. Microcomputed tomography analysis implicated the prostate as a spatially relevant contributor to bladder outlet obstruction. Prostates were collected after disease onset and compared with control mice. Notable changes in urine include proteins representing oxidative stress defense and acute phase inflammatory response processes. In the prostate, hormone treatment led to perturbations related to oxidative stress response and H2O2 metabolism. Several protein changes coincided in both urine and prostate tissue, including Ctsb, Qsox1, and Gpx3. This study supports the concept of noninvasive urinary biomarkers for prostate disease diagnostics. Oxidative stress and acute phase inflammatory processes were identified as key consequences of hormone-induced bladder outlet obstruction. Future research into antioxidants and anti-inflammatories in prostate disease appears promising.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Urine, Prostate Gland

SUBMITTER: Samuel Thomas  

LAB HEAD: Lingjun Li

PROVIDER: PXD014416 | Pride | 2021-09-08

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
TableS-1_UrineDataset.txt Txt
TableS-2_TissueDataset.txt Txt
Week0-1.raw Raw
Week0-2.raw Raw
Week0-3.raw Raw
Items per page:
1 - 5 of 49
altmetric image

Publications

Spatiotemporal Proteomics Reveals the Molecular Consequences of Hormone Treatment in a Mouse Model of Lower Urinary Tract Dysfunction.

Thomas Samuel S   Hao Ling L   DeLaney Kellen K   McLean Dalton D   Steinke Laura L   Marker Paul C PC   Vezina Chad M CM   Li Lingjun L   Ricke William A WA  

Journal of proteome research 20200316 4


Benign prostatic hyperplasia and related lower urinary tract symptoms remain common, costly, and impactful issues for aging males. The etiology and pathogenesis are multifactorial and include steroid hormone changes and inflammation. Noninvasive markers could one day inform personalized medicine, but interindividual variation and lack of healthy age-matched controls hamper research. Experimental models are appealing for insight into disease mechanisms. Here, we present a spatiotemporal proteomic  ...[more]

Similar Datasets

2024-08-09 | PXD045473 | Pride
2022-02-28 | PXD004495 | Pride
2022-11-16 | E-MTAB-11910 | biostudies-arrayexpress
2010-04-09 | E-GEOD-16063 | biostudies-arrayexpress
2022-06-01 | E-MTAB-8529 | biostudies-arrayexpress
2008-12-01 | E-GEOD-9983 | biostudies-arrayexpress
2020-02-27 | PXD009047 | Pride
2020-05-29 | PXD012971 | Pride
2020-05-29 | PXD012970 | Pride
2016-01-13 | E-GEOD-75441 | biostudies-arrayexpress