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Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions

Cystinuria is one of various disorders that cause biomineralization in the urinary system, including bladder stone formation in humans. It is most prevalent in children and adolescents and more aggressive in males. There is no cure, and only limited disease management techniques help to solubilize t...

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Autores principales: Rose, Jacob, Basisty, Nathan, Zee, Tiffany, Wehrfritz, Cameron, Bose, Neelanjan, Desprez, Pierre-Yves, Kapahi, Pankaj, Stoller, Marshall, Schilling, Birgit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246204/
https://www.ncbi.nlm.nih.gov/pubmed/35771811
http://dx.doi.org/10.1371/journal.pone.0250137
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author Rose, Jacob
Basisty, Nathan
Zee, Tiffany
Wehrfritz, Cameron
Bose, Neelanjan
Desprez, Pierre-Yves
Kapahi, Pankaj
Stoller, Marshall
Schilling, Birgit
author_facet Rose, Jacob
Basisty, Nathan
Zee, Tiffany
Wehrfritz, Cameron
Bose, Neelanjan
Desprez, Pierre-Yves
Kapahi, Pankaj
Stoller, Marshall
Schilling, Birgit
author_sort Rose, Jacob
collection PubMed
description Cystinuria is one of various disorders that cause biomineralization in the urinary system, including bladder stone formation in humans. It is most prevalent in children and adolescents and more aggressive in males. There is no cure, and only limited disease management techniques help to solubilize the stones. Recurrence, even after treatment, occurs frequently. Other than a buildup of cystine, little is known about factors involved in the formation, expansion, and recurrence of these stones. This study sought to define the growth of bladder stones, guided by micro-computed tomography imaging, and to profile dynamic stone proteome changes in a cystinuria mouse model. After bladder stones developed in vivo, they were harvested and separated into four developmental stages (sand, small, medium and large stone), based on their size. Data-dependent and data-independent acquisitions allowed deep profiling of stone proteomics. The proteomic signatures and pathways illustrated major changes as the stones grew. Stones initiate from a small nidus, grow outward, and show major enrichment in ribosomal proteins and factors related to coagulation and platelet degranulation, suggesting a major dysregulation in specific pathways that can be targeted for new therapeutic options.
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spelling pubmed-92462042022-07-01 Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions Rose, Jacob Basisty, Nathan Zee, Tiffany Wehrfritz, Cameron Bose, Neelanjan Desprez, Pierre-Yves Kapahi, Pankaj Stoller, Marshall Schilling, Birgit PLoS One Research Article Cystinuria is one of various disorders that cause biomineralization in the urinary system, including bladder stone formation in humans. It is most prevalent in children and adolescents and more aggressive in males. There is no cure, and only limited disease management techniques help to solubilize the stones. Recurrence, even after treatment, occurs frequently. Other than a buildup of cystine, little is known about factors involved in the formation, expansion, and recurrence of these stones. This study sought to define the growth of bladder stones, guided by micro-computed tomography imaging, and to profile dynamic stone proteome changes in a cystinuria mouse model. After bladder stones developed in vivo, they were harvested and separated into four developmental stages (sand, small, medium and large stone), based on their size. Data-dependent and data-independent acquisitions allowed deep profiling of stone proteomics. The proteomic signatures and pathways illustrated major changes as the stones grew. Stones initiate from a small nidus, grow outward, and show major enrichment in ribosomal proteins and factors related to coagulation and platelet degranulation, suggesting a major dysregulation in specific pathways that can be targeted for new therapeutic options. Public Library of Science 2022-06-30 /pmc/articles/PMC9246204/ /pubmed/35771811 http://dx.doi.org/10.1371/journal.pone.0250137 Text en © 2022 Rose et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rose, Jacob
Basisty, Nathan
Zee, Tiffany
Wehrfritz, Cameron
Bose, Neelanjan
Desprez, Pierre-Yves
Kapahi, Pankaj
Stoller, Marshall
Schilling, Birgit
Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions
title Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions
title_full Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions
title_fullStr Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions
title_full_unstemmed Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions
title_short Comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions
title_sort comprehensive proteomic quantification of bladder stone progression in a cystinuric mouse model using data-independent acquisitions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246204/
https://www.ncbi.nlm.nih.gov/pubmed/35771811
http://dx.doi.org/10.1371/journal.pone.0250137
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