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Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics
Mastitis, inflammation of the mammary gland, is the most common and costly disease of dairy cattle in the western world. It is primarily caused by bacteria, with Streptococcus uberis as one of the most prevalent causative agents. To characterize the proteome during Streptococcus uberis mastitis, an...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048399/ https://www.ncbi.nlm.nih.gov/pubmed/27412694 http://dx.doi.org/10.1039/c6mb00290k |
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author | Mudaliar, Manikhandan Tassi, Riccardo Thomas, Funmilola C. McNeilly, Tom N. Weidt, Stefan K. McLaughlin, Mark Wilson, David Burchmore, Richard Herzyk, Pawel Eckersall, P. David Zadoks, Ruth N. |
author_facet | Mudaliar, Manikhandan Tassi, Riccardo Thomas, Funmilola C. McNeilly, Tom N. Weidt, Stefan K. McLaughlin, Mark Wilson, David Burchmore, Richard Herzyk, Pawel Eckersall, P. David Zadoks, Ruth N. |
author_sort | Mudaliar, Manikhandan |
collection | PubMed |
description | Mastitis, inflammation of the mammary gland, is the most common and costly disease of dairy cattle in the western world. It is primarily caused by bacteria, with Streptococcus uberis as one of the most prevalent causative agents. To characterize the proteome during Streptococcus uberis mastitis, an experimentally induced model of intramammary infection was used. Milk whey samples obtained from 6 cows at 6 time points were processed using label-free relative quantitative proteomics. This proteomic analysis complements clinical, bacteriological and immunological studies as well as peptidomic and metabolomic analysis of the same challenge model. A total of 2552 non-redundant bovine peptides were identified, and from these, 570 bovine proteins were quantified. Hierarchical cluster analysis and principal component analysis showed clear clustering of results by stage of infection, with similarities between pre-infection and resolution stages (0 and 312 h post challenge), early infection stages (36 and 42 h post challenge) and late infection stages (57 and 81 h post challenge). Ingenuity pathway analysis identified upregulation of acute phase protein pathways over the course of infection, with dominance of different acute phase proteins at different time points based on differential expression analysis. Antimicrobial peptides, notably cathelicidins and peptidoglycan recognition protein, were upregulated at all time points post challenge and peaked at 57 h, which coincided with 10 000-fold decrease in average bacterial counts. The integration of clinical, bacteriological, immunological and quantitative proteomics and other-omic data provides a more detailed systems level view of the host response to mastitis than has been achieved previously. |
format | Online Article Text |
id | pubmed-5048399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-50483992016-10-12 Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics Mudaliar, Manikhandan Tassi, Riccardo Thomas, Funmilola C. McNeilly, Tom N. Weidt, Stefan K. McLaughlin, Mark Wilson, David Burchmore, Richard Herzyk, Pawel Eckersall, P. David Zadoks, Ruth N. Mol Biosyst Chemistry Mastitis, inflammation of the mammary gland, is the most common and costly disease of dairy cattle in the western world. It is primarily caused by bacteria, with Streptococcus uberis as one of the most prevalent causative agents. To characterize the proteome during Streptococcus uberis mastitis, an experimentally induced model of intramammary infection was used. Milk whey samples obtained from 6 cows at 6 time points were processed using label-free relative quantitative proteomics. This proteomic analysis complements clinical, bacteriological and immunological studies as well as peptidomic and metabolomic analysis of the same challenge model. A total of 2552 non-redundant bovine peptides were identified, and from these, 570 bovine proteins were quantified. Hierarchical cluster analysis and principal component analysis showed clear clustering of results by stage of infection, with similarities between pre-infection and resolution stages (0 and 312 h post challenge), early infection stages (36 and 42 h post challenge) and late infection stages (57 and 81 h post challenge). Ingenuity pathway analysis identified upregulation of acute phase protein pathways over the course of infection, with dominance of different acute phase proteins at different time points based on differential expression analysis. Antimicrobial peptides, notably cathelicidins and peptidoglycan recognition protein, were upregulated at all time points post challenge and peaked at 57 h, which coincided with 10 000-fold decrease in average bacterial counts. The integration of clinical, bacteriological, immunological and quantitative proteomics and other-omic data provides a more detailed systems level view of the host response to mastitis than has been achieved previously. Royal Society of Chemistry 2016-09-16 2016-07-14 /pmc/articles/PMC5048399/ /pubmed/27412694 http://dx.doi.org/10.1039/c6mb00290k Text en This journal is © The Royal Society of Chemistry 2016 http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Chemistry Mudaliar, Manikhandan Tassi, Riccardo Thomas, Funmilola C. McNeilly, Tom N. Weidt, Stefan K. McLaughlin, Mark Wilson, David Burchmore, Richard Herzyk, Pawel Eckersall, P. David Zadoks, Ruth N. Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics |
title | Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics
|
title_full | Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics
|
title_fullStr | Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics
|
title_full_unstemmed | Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics
|
title_short | Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics
|
title_sort | mastitomics, the integrated omics of bovine milk in an experimental model of streptococcus uberis mastitis: 2. label-free relative quantitative proteomics |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048399/ https://www.ncbi.nlm.nih.gov/pubmed/27412694 http://dx.doi.org/10.1039/c6mb00290k |
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