Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics. Issue 9 (14th July 2016)
- Record Type:
- Journal Article
- Title:
- Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics. Issue 9 (14th July 2016)
- Main Title:
- Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics
- Authors:
- 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. - Abstract:
- Abstract : Longitudinal proteomic analysis of bovine milk shows consistent changes over time across cows after intramammary challenge with Streptococcus uberis . Abstract : 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.Abstract : Longitudinal proteomic analysis of bovine milk shows consistent changes over time across cows after intramammary challenge with Streptococcus uberis . Abstract : 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. … (more)
- Is Part Of:
- Molecular bioSystems. Volume 12:Issue 9(2016:Sep.)
- Journal:
- Molecular bioSystems
- Issue:
- Volume 12:Issue 9(2016:Sep.)
- Issue Display:
- Volume 12, Issue 9 (2016)
- Year:
- 2016
- Volume:
- 12
- Issue:
- 9
- Issue Sort Value:
- 2016-0012-0009-0000
- Page Start:
- 2748
- Page End:
- 2761
- Publication Date:
- 2016-07-14
- Subjects:
- Molecular biology -- Periodicals
Biochemistry -- Periodicals
571.7405 - Journal URLs:
- http://www.rsc.org/Publishing/Journals/mb/index.asp ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/c6mb00290k ↗
- Languages:
- English
- ISSNs:
- 1742-206X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.798350
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1042.xml