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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005432naa a2200409 4500
001oai:DiVA.org:oru-40625
003SwePub
008150109s2011 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-406252 URI
0247 a https://doi.org/10.1186/1297-9686-43-242 DOI
040 a (SwePub)oru
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Brand, Bodou Research Group of Functional Genomics, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germany4 aut
2451 0a Comparative expression profiling of E. coli and S. aureus inoculated primary mammary gland cells sampled from cows with different genetic predispositions for somatic cell score
264 c 2011-06-24
264 1a London, UK :b BioMed Central,c 2011
338 a print2 rdacarrier
520 a Background: During the past ten years many quantitative trait loci (QTL) affecting mastitis incidence and mastitis related traits like somatic cell score (SCS) were identified in cattle. However, little is known about the molecular architecture of QTL affecting mastitis susceptibility and the underlying physiological mechanisms and genes causing mastitis susceptibility. Here, a genome-wide expression analysis was conducted to analyze molecular mechanisms of mastitis susceptibility that are affected by a specific QTL for SCS on Bos taurus autosome 18 (BTA18). Thereby, some first insights were sought into the genetically determined mechanisms of mammary gland epithelial cells influencing the course of infection.Methods: Primary bovine mammary gland epithelial cells (pbMEC) were sampled from the udder parenchyma of cows selected for high and low mastitis susceptibility by applying a marker-assisted selection strategy considering QTL and molecular marker information of a confirmed QTL for SCS in the telomeric region of BTA18. The cells were cultured and subsequently inoculated with heat-inactivated mastitis pathogens Escherichia coli and Staphylococcus aureus, respectively. After 1, 6 and 24 h, the cells were harvested and analyzed using the microarray expression chip technology to identify differences in mRNA expression profiles attributed to genetic predisposition, inoculation and cell culture.Results: Comparative analysis of co-expression profiles clearly showed a faster and stronger response after pathogen challenge in pbMEC from less susceptible animals that inherited the favorable QTL allele 'Q' than in pbMEC from more susceptible animals that inherited the unfavorable QTL allele 'q'. Furthermore, the results highlighted RELB as a functional and positional candidate gene and related non-canonical Nf-kappaB signaling as a functional mechanism affected by the QTL. However, in both groups, inoculation resulted in up-regulation of genes associated with the Ingenuity pathways 'dendritic cell maturation' and 'acute phase response signaling', whereas cell culture affected biological processes involved in 'cellular development'.Conclusions: The results indicate that the complex expression profiling of pathogen challenged pbMEC sampled from cows inheriting alternative QTL alleles is suitable to study genetically determined molecular mechanisms of mastitis susceptibility in mammary epithelial cells in vitro and to highlight the most likely functional pathways and candidate genes underlying the QTL effect.
650 7a NATURVETENSKAPx Biologix Bioinformatik och systembiologi0 (SwePub)106102 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Bioinformatics and Systems Biology0 (SwePub)106102 hsv//eng
7001 a Hartmann, Anjau Research Group of Functional Genomics, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germany4 aut
7001 a Repsilber, Dirk,d 1971-u Research Unit of Genetics and Biometry, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germany4 aut0 (Swepub:oru)drr
7001 a Griesbeck-Zilch, Bettinau Institute of Physiology, Technical University Munich, Freising, Germany4 aut
7001 a Wellnitz, Olgau Veterinary Physiology, Vetsuisse Faculty, University of Bern, Posieux, Switzerland4 aut
7001 a Kühn, Christau Research Unit of Molecular Biology, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germany4 aut
7001 a Ponsuksili, Sirilucku Research Group of Functional Genomics, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germany4 aut
7001 a Meyer, Heinrich H Du Institute of Physiology, Technical University Munich, Freising, Germany4 aut
7001 a Schwerin, Manfredu Research Group of Functional Genomics, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germany; Institute of Farm Animal Science and Technology, University of Rostock, Rostock, Germany4 aut
7102 a Research Group of Functional Genomics, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germanyb Research Unit of Genetics and Biometry, Leibniz Institute of Farm Animal Biology, Dummerstorf, Germany4 org
7730 t Genetics Selection Evolutiond London, UK : BioMed Centralg 43:1q 43:1x 0999-193Xx 1297-9686
8564 u https://doi.org/10.1186/1297-9686-43-24y Fulltext
8564 u https://gsejournal.biomedcentral.com/track/pdf/10.1186/1297-9686-43-24
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-40625
8564 8u https://doi.org/10.1186/1297-9686-43-24

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