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NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles
SUMMARY: (1)H nuclear magnetic resonance (NMR) spectroscopy is an established bioanalytical technology for metabolic profiling of biofluids in both clinical and large-scale population screening applications. Recently, urinary protein quantification has been demonstrated using the same 1D (1)H NMR ex...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477529/ https://www.ncbi.nlm.nih.gov/pubmed/35861573 http://dx.doi.org/10.1093/bioinformatics/btac502 |
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author | Takis, Panteleimon G Vuckovic, Ivan Tan, Tricia Denic, Aleksandar Lieske, John C Lewis, Matthew R Macura, Slobodan |
author_facet | Takis, Panteleimon G Vuckovic, Ivan Tan, Tricia Denic, Aleksandar Lieske, John C Lewis, Matthew R Macura, Slobodan |
author_sort | Takis, Panteleimon G |
collection | PubMed |
description | SUMMARY: (1)H nuclear magnetic resonance (NMR) spectroscopy is an established bioanalytical technology for metabolic profiling of biofluids in both clinical and large-scale population screening applications. Recently, urinary protein quantification has been demonstrated using the same 1D (1)H NMR experimental data captured for metabolic profiling. Here, we introduce NMRpQuant, a freely available platform that builds on these findings with both novel and further optimized computational NMR approaches for rigorous, automated protein urine quantification. The results are validated by interlaboratory comparisons, demonstrating agreement with clinical/biochemical methodologies, pointing at a ready-to-use tool for routine protein urinalyses. AVAILABILITY AND IMPLEMENTATION: NMRpQuant was developed on MATLAB programming environment. Source code and Windows/macOS compiled applications are available at https://github.com/pantakis/NMRpQuant, and working examples are available at https://doi.org/10.6084/m9.figshare.18737189.v1. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9477529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94775292022-09-19 NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles Takis, Panteleimon G Vuckovic, Ivan Tan, Tricia Denic, Aleksandar Lieske, John C Lewis, Matthew R Macura, Slobodan Bioinformatics Applications Note SUMMARY: (1)H nuclear magnetic resonance (NMR) spectroscopy is an established bioanalytical technology for metabolic profiling of biofluids in both clinical and large-scale population screening applications. Recently, urinary protein quantification has been demonstrated using the same 1D (1)H NMR experimental data captured for metabolic profiling. Here, we introduce NMRpQuant, a freely available platform that builds on these findings with both novel and further optimized computational NMR approaches for rigorous, automated protein urine quantification. The results are validated by interlaboratory comparisons, demonstrating agreement with clinical/biochemical methodologies, pointing at a ready-to-use tool for routine protein urinalyses. AVAILABILITY AND IMPLEMENTATION: NMRpQuant was developed on MATLAB programming environment. Source code and Windows/macOS compiled applications are available at https://github.com/pantakis/NMRpQuant, and working examples are available at https://doi.org/10.6084/m9.figshare.18737189.v1. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-07-21 /pmc/articles/PMC9477529/ /pubmed/35861573 http://dx.doi.org/10.1093/bioinformatics/btac502 Text en © The Author(s) 2022. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Takis, Panteleimon G Vuckovic, Ivan Tan, Tricia Denic, Aleksandar Lieske, John C Lewis, Matthew R Macura, Slobodan NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles |
title |
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles |
title_full |
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles |
title_fullStr |
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles |
title_full_unstemmed |
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles |
title_short |
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional (1)H NMR profiles |
title_sort | nmrpquant: an automated software for large scale urinary total protein quantification by one-dimensional (1)h nmr profiles |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477529/ https://www.ncbi.nlm.nih.gov/pubmed/35861573 http://dx.doi.org/10.1093/bioinformatics/btac502 |
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