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Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle
In this study the mRNA differential display method was applied to identify mastitis-associated expressed DNA sequences based on different expression patterns in mammary gland samples of non-infected and infected udder quarters of a cow. In total, 704 different cDNA bands were displayed in both udder...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231760/ https://www.ncbi.nlm.nih.gov/pubmed/12927078 http://dx.doi.org/10.1186/1297-9686-35-S1-S19 |
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author | Schwerin, Manfred Czernek-Schäfer, Diana Goldammer, Tom Kata, Srinivas R Womack, James E Pareek, Ravi Pareek, Chandra Walawski, Krzysztof Brunner, Ronald M |
author_facet | Schwerin, Manfred Czernek-Schäfer, Diana Goldammer, Tom Kata, Srinivas R Womack, James E Pareek, Ravi Pareek, Chandra Walawski, Krzysztof Brunner, Ronald M |
author_sort | Schwerin, Manfred |
collection | PubMed |
description | In this study the mRNA differential display method was applied to identify mastitis-associated expressed DNA sequences based on different expression patterns in mammary gland samples of non-infected and infected udder quarters of a cow. In total, 704 different cDNA bands were displayed in both udder samples. Five hundred-and-thirty two bands, (75.6%) were differentially displayed. Ninety prominent cDNA bands were isolated, re-amplified, cloned and sequenced resulting in 87 different sequences. Amongst the 19 expressed sequence tags showing a similarity with previously described genes, the majority of these sequences exhibited homology to protein kinase encoding genes (26.3%), to genes involved in the regulation of gene expression (26.3%), to growth and differentiation factor encoding genes (21.0%) and to immune response or inflammation marker encoding genes (21.0%). These sequences were shown to have mastitis-associated expression in the udder samples of animals with and without clinical mastitis by quantitative RT-PCR. They were mapped physically using a bovine-hamster somatic cell hybrid panel and a 5000 rad bovine whole genome radiation hybrid panel. According to their localization in QTL regions based on an established integrated marker/gene-map and their disease-associated expression, four genes (AHCY, PRKDC, HNRPU, OSTF1) were suggested as potentially involved in mastitis defense. |
format | Online Article Text |
id | pubmed-3231760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32317602011-12-07 Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle Schwerin, Manfred Czernek-Schäfer, Diana Goldammer, Tom Kata, Srinivas R Womack, James E Pareek, Ravi Pareek, Chandra Walawski, Krzysztof Brunner, Ronald M Genet Sel Evol Research In this study the mRNA differential display method was applied to identify mastitis-associated expressed DNA sequences based on different expression patterns in mammary gland samples of non-infected and infected udder quarters of a cow. In total, 704 different cDNA bands were displayed in both udder samples. Five hundred-and-thirty two bands, (75.6%) were differentially displayed. Ninety prominent cDNA bands were isolated, re-amplified, cloned and sequenced resulting in 87 different sequences. Amongst the 19 expressed sequence tags showing a similarity with previously described genes, the majority of these sequences exhibited homology to protein kinase encoding genes (26.3%), to genes involved in the regulation of gene expression (26.3%), to growth and differentiation factor encoding genes (21.0%) and to immune response or inflammation marker encoding genes (21.0%). These sequences were shown to have mastitis-associated expression in the udder samples of animals with and without clinical mastitis by quantitative RT-PCR. They were mapped physically using a bovine-hamster somatic cell hybrid panel and a 5000 rad bovine whole genome radiation hybrid panel. According to their localization in QTL regions based on an established integrated marker/gene-map and their disease-associated expression, four genes (AHCY, PRKDC, HNRPU, OSTF1) were suggested as potentially involved in mastitis defense. BioMed Central 2003-06-15 /pmc/articles/PMC3231760/ /pubmed/12927078 http://dx.doi.org/10.1186/1297-9686-35-S1-S19 Text en Copyright ©2003 INRA, EDP Sciences |
spellingShingle | Research Schwerin, Manfred Czernek-Schäfer, Diana Goldammer, Tom Kata, Srinivas R Womack, James E Pareek, Ravi Pareek, Chandra Walawski, Krzysztof Brunner, Ronald M Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle |
title | Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle |
title_full | Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle |
title_fullStr | Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle |
title_full_unstemmed | Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle |
title_short | Application of disease-associated differentially expressed genes – Mining for functional candidate genes for mastitis resistance in cattle |
title_sort | application of disease-associated differentially expressed genes – mining for functional candidate genes for mastitis resistance in cattle |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231760/ https://www.ncbi.nlm.nih.gov/pubmed/12927078 http://dx.doi.org/10.1186/1297-9686-35-S1-S19 |
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