Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/39950
Type: Journal article
Title: Methods for transcriptome and proteome research: applications for studying the biology of reproduction in cattle
Author: Wolf, E.
Hiendleder, S.
Bauersachs, S.
Frohlich, T.
Sinowatz, F.
Blum, H.
Arnold, G.
Citation: Berliner und Munchener Tierarztliche Wochenschrift, 2006; 119(1-2):7-16
Publisher: Blackwell Wissenschafts-verlag GMBH
Issue Date: 2006
ISSN: 0005-9366
1439-0299
Statement of
Responsibility: 
Eckhard Wolf , Stefan Hiendleder , Stefan Bauersachs , Thomas Fröhlich , Fred Sinowatz , Helmut Blum , Georg J Arnold
Abstract: Improvements of animal health, welfare and product quality are major goals of modern animal breeding. Thus, in addition to the classical production traits, functional traits such as disease resistance, fertility and longevity moved into the center of animal breeder's interests. Due to their low heritability, the improvement of functional traits using conventional approaches of phenotypic testing and quantitative genetics is difficult. A number of studies have been conducted worldwide in various species to map quantitative trait loci (QTLs) and to identify genetic markers for health traits. This has revealed a plethora of chromosome regions which may harbor genes with relevance for animal health. Functional genome research integrates holistic investigations at the level of the genome, at the level of gene activity (transcriptome, proteome) and at various levels of phenotypic expression. The integration of all these levels of information provides the basis for the functional dissection of complex traits. This review provides an overview of the most important strategies for holistic transcriptome and proteome analyses. The successful application of these techniques is exemplified by our studies of bovine reproductive biology.
Keywords: Animals
Cattle
Proteome
Genetic Markers
Oligonucleotide Array Sequence Analysis
Chromosome Mapping
Gene Expression Profiling
Proteomics
Gene Expression Regulation
Reproduction
Quantitative Trait Loci
Genome
Female
Male
Appears in Collections:Agriculture, Food and Wine publications
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