Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Co-evolution analysis on endocrine research: a methodological approach.

Tonghai Dou1, Shuai Chen, Chaoneng Ji

  • 1State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, People's Republic of China.

Endocrine
|January 3, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Structural and functional insights into β-glucosidase derived from Thermoproteus sp. AZ2.

Archives of biochemistry and biophysics·2025
Same author

Structural insights and functional characterization of a novel β-glucosidase derived from Thermotoga profunda.

Biochemical and biophysical research communications·2024
Same author

Multiple transcriptome analyses reveal mouse testis developmental dynamics.

BMC genomics·2024
Same author

Structural insights into RNase J that plays an essential role in Mycobacterium tuberculosis RNA metabolism.

Nature communications·2023
Same author

Novel Structures of Type 1 Glyceraldehyde-3-phosphate Dehydrogenase from <i>Escherichia coli</i> Provide New Insights into the Mechanism of Generation of 1,3-Bisphosphoglyceric Acid.

Biomolecules·2021
Same author

Structural and Catalytic Characterization of TsBGL, a β-Glucosidase From <i>Thermofilum</i> sp. ex4484_79.

Frontiers in microbiology·2021

Analyzing biological data reveals co-evolutionary patterns in endocrine pathways. This helps identify new molecules, understand gene functions, and map endocrine regulation across species.

Area of Science:

  • Endocrinology
  • Bioinformatics
  • Genomics
  • Systems Biology

Background:

  • Biological data, including genomic and expression profiles, is rapidly expanding.
  • Co-evolutionary analysis offers insights into molecular relationships within biological systems.
  • Endocrine regulatory pathways are complex and involve intricate interactions between ligands and receptors.

Purpose of the Study:

  • To review recent advancements in analyzing co-evolutionary characteristics within endocrine regulatory pathways.
  • To highlight the methodological approaches used in endocrine-related co-evolution research.
  • To underscore the potential of co-evolutionary analysis in understanding endocrine systems.

Main Methods:

  • Comparative genomics across multiple species.

Related Experiment Videos

  • Analysis of gene and protein sequences.
  • Examination of gene expression profiles.
  • Bioinformatic approaches to identify molecular relationships.

    • Main Results:

    • Co-evolutionary analysis of biological data can elucidate relationships between ligands, receptors, and other endocrine molecules.
    • This approach aids in identifying uncharacterized ligands and receptors.
    • It facilitates gene function annotation and highlights functionally significant amino acid residues.

    Conclusions:

    • Co-evolutionary insights are crucial for deciphering endocrine regulatory mechanisms.
    • Methodological advancements are enabling a deeper understanding of endocrine pathway co-evolution.
    • This research area holds significant promise for future biological discoveries.