Gametogenesis and reproductive tissue expression

Gametogenesis and reproductive tissue expression integrates cross-species high-throughput expression and interaction datasets to support analysis of germline development, the meiotic cell cycle, mitosis, and comparisons between healthy and malignant reproductive tissues.

Key Features:

• Cross-species dataset integration: Integrates high-density oligonucleotide microarray data, including 3'-UTR GeneChips and high-density tiling microarrays (Sc_tlg GeneChips), with genome-wide protein-DNA binding assays and protein-protein interaction studies within the Ensembl genome annotation framework.
• MIAME-compliant annotation: Uses the Multiomics Information Management and Annotation System (MIMAS 3.0) to provide MIAME-compliant sample and experiment annotation.
• Saccharomyces Genomics Viewer (SGV) visualization: Outputs genome annotations and DNA-strand specific expression data from high-density oligonucleotide tiling microarrays covering the complete budding yeast genome on both DNA strands.

Scientific Applications:

• Germline development and fertility research: Enables analysis of gene expression and regulatory networks relevant to germline development and fertility.
• Meiotic cell cycle and mitosis studies: Supports investigation of molecular mechanisms governing the meiotic cell cycle and mitosis using integrated expression and binding datasets.
• Comparative analysis of healthy versus malignant tissues: Facilitates comparison of expression profiles and regulatory interactions between healthy and malignant reproductive cells.

Methodology:

Integration of datasets from high-density oligonucleotide microarrays (3'-UTR GeneChips and Sc_tlg tiling arrays), genome-wide protein-DNA binding assays, and protein-protein interaction studies; MIAME-compliant annotation using MIMAS 3.0; visualization and genome annotation output via the Saccharomyces Genomics Viewer linked to Ensembl genome annotation.