ArticleAmerican journal of physiology. Renal physiology2019
Quantitative proteomic analysis of a genetically induced prostate inflammation mouse model via custom 4-plex DiLeu isobaric labeling.
Article in American journal of physiology. Renal physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Integrating intracellular and extracellular proteomic profiling for in-depth investigations of cellular communication in a model of prostate cancer.Proteomics · 2023Article
- Characterization of Neuronal Lysosome Interactome with Proximity Labeling Proteomics.Journal of visualized experiments : JoVE · 2022Article
- Male Lower Urinary Tract Dysfunction: An Underrepresented Endpoint in Toxicology Research.Toxics · 2022Review
- Multiplexed quantitative neuropeptidomics via DiLeu isobaric tagging.Methods in enzymology · 2022Article
- Prostate-Specific Deletion of Cdh1 Induces Murine Prostatic Inflammation and Bladder Overactivity.Endocrinology · 2021Article
- Spatiotemporal Proteomics Reveals the Molecular Consequences of Hormone Treatment in a Mouse Model of Lower Urinary Tract Dysfunction.Journal of proteome research · 2020Article
- Urinary Metabolomic and Proteomic Analyses in a Mouse Model of Prostatic Inflammation.Urine (Amsterdam, Netherlands) · 2019Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Inflammation is involved in many prostate pathologies including infection, benign prostatic hyperplasia, and prostate cancer. Preclinical models are critical to our understanding of disease mechanisms, yet few models are genetically tractable. Here, we present a comparative quantitative proteomic analysis of urine from mice with and without prostate-specific inflammation induced by conditional prostate epithelial IL-1β expression. Relative quantification and sample multiplexing was achieved using custom 4-plex
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