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Precise Visualization of Insulin Receptors A and B in Murine Brain with an RNA In Situ Hybridization Assay
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Comparative sequence-structure analysis of Aves insulin.

Md Mirazul Islam1, M Aktaruzzaman1, Zahurin Mohamed1

  • 1Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.

Bioinformation
|April 8, 2015
PubMed
Summary
This summary is machine-generated.

Avian insulin sequences exhibit conserved motifs and high variability at key positions, offering insights into insulin receptor binding and evolutionary relationships. This research aids in understanding insulin function across diverse species.

Keywords:
Aves Insulinblood glucose levelphysic-chemical propertiessequence-structure analysis

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Area of Science:

  • Biochemistry
  • Evolutionary Biology
  • Genomics

Background:

  • Normal blood glucose regulation relies on insulin binding to its receptor (IR).
  • Insulin sequences and blood glucose levels exhibit species-specific variations.
  • Aves possess higher blood glucose levels than mammals, making avian insulin an interesting subject for study.

Purpose of the Study:

  • To investigate the genetic variation and evolutionary relationships of avian insulin.
  • To compare sequence-structure features of avian insulin with other mammals.
  • To identify functionally critical residues in avian insulin for potential genetic implications.

Main Methods:

  • Compiled 32 Aves insulin sequences from GenBank.
  • Performed sequence-structure analysis and phylogenetic inference.
  • Developed structural models for surface analysis.

Main Results:

  • Identified conserved motifs (approx. 14 residues) crucial for function.
  • Observed high leucine content (20%) and instability index (>40) in avian insulin sequences.
  • Found variability at amino acid positions 11, 14, 16, and 20, potentially affecting IR binding.

Conclusions:

  • Avian insulin sequences possess conserved functional motifs and specific variable residues impacting IR interaction.
  • The findings contribute to understanding insulin evolution and function across species.
  • Structural modeling provides functional insights into avian insulin.