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Updated: May 31, 2026
07:02
Minimally Invasive Embryo Transfer and Embryo Vitrification at the Optimal Embryo Stage in Rabbit Model
Published on: May 16, 2019
Creating new knowledge for ruminant reproduction from rapidly expanding and evolving scientific databases
S Bauersachs1, H Blum, S Krebs
1Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, Ludwig-Maximilians-Universität München, Feodor-Lynen-Str. 25, D-8 1377 Munich, Germany.
Society of Reproduction and Fertility Supplement
|July 16, 2011
Summary
Omics technologies and bioinformatics analysis help uncover causes of declining fertility in dairy animals. This approach aids in interpreting complex molecular data for improved reproductive health.
Area of Science:
- Reproductive biology
- Bioinformatics
- Genomics
Background:
- Declining fertility poses a significant challenge to the dairy industry.
- Omics technologies offer comprehensive molecular analysis of reproductive components.
- Large-scale datasets necessitate advanced bioinformatics for interpretation.
Purpose of the Study:
- To review ruminant genome projects and available Omics resources.
- To describe databases and tools for transcriptomics and proteomics data analysis.
- To highlight strategies for identifying regulatory genes and biological pathways.
Main Methods:
- Overview of current ruminant genome projects and resources.
- Description of databases for genomics, transcriptomics, and proteomics.
- Explanation of bioinformatics tools like GSEA and TFBS analysis.
Main Results:
- Summary of existing resources for ruminant Omics data.
- Identification of key bioinformatics strategies for data interpretation.
- Emphasis on linking molecular data to genotype-phenotype relationships.
Conclusions:
- Omics technologies and bioinformatics are crucial for understanding and improving dairy cattle fertility.
- Comprehensive molecular analysis enhances genome-wide association studies.
- Insights gained can guide strategies to mitigate fertility issues influenced by various factors.
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