Endocrinology: advances through omics and related technologies

Area of Science:

• * Systems biology
• * Endocrinology
• * Genomics

Background:

• * Rapid advancements in omics technologies (genomics, transcriptomics, proteomics, metabolomics) are transforming biological research.
• * Systems-level data analysis and integration methods are evolving.
• * Nontraditional model species are increasingly valuable for biological and endocrinology research.

Purpose of the Study:

• * To discuss how omics technologies expand knowledge in nontraditional model organisms.
• * To highlight the use of new model species due to conserved evolutionary pathways.
• * To explore endocrine function and gene roles across species using omics.

Main Methods:

• * Application of omics technologies for comprehensive biological data acquisition.
• * Systems-level analysis and integration of multi-omics data.
• * Gene manipulation techniques, including overexpression of key genes (e.g., growth hormone in transgenic fish).

Main Results:

• * Omics approaches have significantly advanced understanding, particularly in nontraditional models.
• * Growth hormone (GH) overexpression in transgenic fish provided insights into its role in testis development via insulin-like growth factor interactions.
• * Omics tools facilitate monitoring, manipulation, and cross-level data integration.

Conclusions:

• * Omics technologies offer novel opportunities to investigate endocrine function across a wide range of species.
• * Understanding gene interactions and evolutionary conservation aids in selecting and utilizing new model organisms.
• * This integrated approach enhances the study of complex gene functions in endocrine systems.