Your browser doesn't support javascript.
loading
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles.
Takis, Panteleimon G; Vuckovic, Ivan; Tan, Tricia; Denic, Aleksandar; Lieske, John C; Lewis, Matthew R; Macura, Slobodan.
Afiliação
  • Takis PG; Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK.
  • Vuckovic I; National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, UK.
  • Tan T; Metabolomics Core, Mayo Clinic, Rochester, MN 55905, USA.
  • Denic A; Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, UK.
  • Lieske JC; Clinical Biochemistry, Blood Sciences, North West London Pathology, Charing Cross Hospital, London W6 8RF, UK.
  • Lewis MR; Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Macura S; Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Bioinformatics ; 38(18): 4437-4439, 2022 09 15.
Article em En | MEDLINE | ID: mdl-35861573
ABSTRACT

SUMMARY:

1H 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 1H 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2022 Tipo de documento: Article