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Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization

The clinical sampling of urine is noninvasive and unrestricted, whereby huge volumes can be easily obtained. This makes urine a valuable resource for the diagnoses of diseases. Urinary and renal proteomics have resulted in considerable progress in kidney-based disease diagnosis through biomarker dis...

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Autores principales: Paul, Piby, Antonydhason, Vimala, Gopal, Judy, Haga, Steve W., Hasan, Nazim, Oh, Jae-Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038205/
https://www.ncbi.nlm.nih.gov/pubmed/32024005
http://dx.doi.org/10.3390/ijms21030961
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author Paul, Piby
Antonydhason, Vimala
Gopal, Judy
Haga, Steve W.
Hasan, Nazim
Oh, Jae-Wook
author_facet Paul, Piby
Antonydhason, Vimala
Gopal, Judy
Haga, Steve W.
Hasan, Nazim
Oh, Jae-Wook
author_sort Paul, Piby
collection PubMed
description The clinical sampling of urine is noninvasive and unrestricted, whereby huge volumes can be easily obtained. This makes urine a valuable resource for the diagnoses of diseases. Urinary and renal proteomics have resulted in considerable progress in kidney-based disease diagnosis through biomarker discovery and treatment. This review summarizes the bioinformatics tools available for this area of proteomics and the milestones reached using these tools in clinical research. The scant research publications and the even more limited bioinformatic tool options available for urinary and renal proteomics are highlighted in this review. The need for more attention and input from bioinformaticians is highlighted, so that progressive achievements and releases can be made. With just a handful of existing tools for renal and urinary proteomic research available, this review identifies a gap worth targeting by protein chemists and bioinformaticians. The probable causes for the lack of enthusiasm in this area are also speculated upon in this review. This is the first review that consolidates the bioinformatics applications specifically for renal and urinary proteomics.
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spelling pubmed-70382052020-03-10 Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization Paul, Piby Antonydhason, Vimala Gopal, Judy Haga, Steve W. Hasan, Nazim Oh, Jae-Wook Int J Mol Sci Review The clinical sampling of urine is noninvasive and unrestricted, whereby huge volumes can be easily obtained. This makes urine a valuable resource for the diagnoses of diseases. Urinary and renal proteomics have resulted in considerable progress in kidney-based disease diagnosis through biomarker discovery and treatment. This review summarizes the bioinformatics tools available for this area of proteomics and the milestones reached using these tools in clinical research. The scant research publications and the even more limited bioinformatic tool options available for urinary and renal proteomics are highlighted in this review. The need for more attention and input from bioinformaticians is highlighted, so that progressive achievements and releases can be made. With just a handful of existing tools for renal and urinary proteomic research available, this review identifies a gap worth targeting by protein chemists and bioinformaticians. The probable causes for the lack of enthusiasm in this area are also speculated upon in this review. This is the first review that consolidates the bioinformatics applications specifically for renal and urinary proteomics. MDPI 2020-01-31 /pmc/articles/PMC7038205/ /pubmed/32024005 http://dx.doi.org/10.3390/ijms21030961 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Paul, Piby
Antonydhason, Vimala
Gopal, Judy
Haga, Steve W.
Hasan, Nazim
Oh, Jae-Wook
Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization
title Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization
title_full Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization
title_fullStr Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization
title_full_unstemmed Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization
title_short Bioinformatics for Renal and Urinary Proteomics: Call for Aggrandization
title_sort bioinformatics for renal and urinary proteomics: call for aggrandization
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038205/
https://www.ncbi.nlm.nih.gov/pubmed/32024005
http://dx.doi.org/10.3390/ijms21030961
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