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Milk Bottom-Up Proteomics: Method Optimization

Milk is a complex fluid whose proteome displays a diverse set of proteins of high abundance such as caseins and medium to low abundance whey proteins such as ß-lactoglobulin, lactoferrin, immunoglobulins, glycoproteins, peptide hormones, and enzymes. A sample preparation method that enables high rep...

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Autores principales: Vincent, Delphine, Ezernieks, Vilnis, Elkins, Aaron, Nguyen, Nga, Moate, Peter J., Cocks, Benjamin G., Rochfort, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707256/
https://www.ncbi.nlm.nih.gov/pubmed/26793233
http://dx.doi.org/10.3389/fgene.2015.00360
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author Vincent, Delphine
Ezernieks, Vilnis
Elkins, Aaron
Nguyen, Nga
Moate, Peter J.
Cocks, Benjamin G.
Rochfort, Simone
author_facet Vincent, Delphine
Ezernieks, Vilnis
Elkins, Aaron
Nguyen, Nga
Moate, Peter J.
Cocks, Benjamin G.
Rochfort, Simone
author_sort Vincent, Delphine
collection PubMed
description Milk is a complex fluid whose proteome displays a diverse set of proteins of high abundance such as caseins and medium to low abundance whey proteins such as ß-lactoglobulin, lactoferrin, immunoglobulins, glycoproteins, peptide hormones, and enzymes. A sample preparation method that enables high reproducibility and throughput is key in reliably identifying proteins present or proteins responding to conditions such as a diet, health or genetics. Using skim milk samples from Jersey and Holstein-Friesian cows, we compared three extraction procedures which have not previously been applied to samples of cows' milk. Method A (urea) involved a simple dilution of the milk in a urea-based buffer, method B (TCA/acetone) involved a trichloroacetic acid (TCA)/acetone precipitation, and method C (methanol/chloroform) involved a tri-phasic partition method in chloroform/methanol solution. Protein assays, SDS-PAGE profiling, and trypsin digestion followed by nanoHPLC-electrospray ionization-tandem mass spectrometry (nLC-ESI-MS/MS) analyses were performed to assess their efficiency. Replicates were used at each analytical step (extraction, digestion, injection) to assess reproducibility. Mass spectrometry (MS) data are available via ProteomeXchange with identifier PXD002529. Overall 186 unique accessions, major and minor proteins, were identified with a combination of methods. Method C (methanol/chloroform) yielded the best resolved SDS-patterns and highest protein recovery rates, method A (urea) yielded the greatest number of accessions, and, of the three procedures, method B (TCA/acetone) was the least compatible of all with a wide range of downstream analytical procedures. Our results also highlighted breed differences between the proteins in milk of Jersey and Holstein-Friesian cows.
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spelling pubmed-47072562016-01-20 Milk Bottom-Up Proteomics: Method Optimization Vincent, Delphine Ezernieks, Vilnis Elkins, Aaron Nguyen, Nga Moate, Peter J. Cocks, Benjamin G. Rochfort, Simone Front Genet Genetics Milk is a complex fluid whose proteome displays a diverse set of proteins of high abundance such as caseins and medium to low abundance whey proteins such as ß-lactoglobulin, lactoferrin, immunoglobulins, glycoproteins, peptide hormones, and enzymes. A sample preparation method that enables high reproducibility and throughput is key in reliably identifying proteins present or proteins responding to conditions such as a diet, health or genetics. Using skim milk samples from Jersey and Holstein-Friesian cows, we compared three extraction procedures which have not previously been applied to samples of cows' milk. Method A (urea) involved a simple dilution of the milk in a urea-based buffer, method B (TCA/acetone) involved a trichloroacetic acid (TCA)/acetone precipitation, and method C (methanol/chloroform) involved a tri-phasic partition method in chloroform/methanol solution. Protein assays, SDS-PAGE profiling, and trypsin digestion followed by nanoHPLC-electrospray ionization-tandem mass spectrometry (nLC-ESI-MS/MS) analyses were performed to assess their efficiency. Replicates were used at each analytical step (extraction, digestion, injection) to assess reproducibility. Mass spectrometry (MS) data are available via ProteomeXchange with identifier PXD002529. Overall 186 unique accessions, major and minor proteins, were identified with a combination of methods. Method C (methanol/chloroform) yielded the best resolved SDS-patterns and highest protein recovery rates, method A (urea) yielded the greatest number of accessions, and, of the three procedures, method B (TCA/acetone) was the least compatible of all with a wide range of downstream analytical procedures. Our results also highlighted breed differences between the proteins in milk of Jersey and Holstein-Friesian cows. Frontiers Media S.A. 2016-01-11 /pmc/articles/PMC4707256/ /pubmed/26793233 http://dx.doi.org/10.3389/fgene.2015.00360 Text en Copyright © 2016 Vincent, Ezernieks, Elkins, Nguyen, Moate, Cocks and Rochfort. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Vincent, Delphine
Ezernieks, Vilnis
Elkins, Aaron
Nguyen, Nga
Moate, Peter J.
Cocks, Benjamin G.
Rochfort, Simone
Milk Bottom-Up Proteomics: Method Optimization
title Milk Bottom-Up Proteomics: Method Optimization
title_full Milk Bottom-Up Proteomics: Method Optimization
title_fullStr Milk Bottom-Up Proteomics: Method Optimization
title_full_unstemmed Milk Bottom-Up Proteomics: Method Optimization
title_short Milk Bottom-Up Proteomics: Method Optimization
title_sort milk bottom-up proteomics: method optimization
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707256/
https://www.ncbi.nlm.nih.gov/pubmed/26793233
http://dx.doi.org/10.3389/fgene.2015.00360
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