Proteome analysis for the identification of in vivo estrogen-regulated proteins in bone

Proteomics. 2005 Dec;5(18):4936-45. doi: 10.1002/pmic.200401325.

Abstract

Estrogen deficiency results in a reduced bone mass, which can be prevented by treatment with estrogens. This study used a proteomic approach for the first time to obtain a global perspective of estrogens' effects on whole-bone proteins. Bone proteome profiles were examined in three groups of mice: (1) sham-operated with normal ovarian functions, (2) ovariectomised and (3) ovariectomised with estrogen replacement therapy. Bone proteins extracted from the humerus were separated by 2-DE and visualised by CBB colloidal staining. Spot detection and quantification was done by image analysis. Differentially expressed proteins were identified by MS and database search, using peptide mass fingerprint and peptide sequence analysis. Differential expression analysis in the three experimental groups showed significant changes for 14 proteins. These included proteins related to bone metabolism, cytoskeleton components and energy metabolic pathways. Our data suggest that some proteins related to cytoskeleton and to energy pathways, such as tropomyosins, aconitase 2 and enolase beta, might be new molecular targets responsive to the effects of estrogen. Differentially expressed proteins identified in this model may offer a useful starting point for elucidating novel aspects of the pleiotropic effects of estrogens on bone.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bone and Bones / drug effects*
  • Bone and Bones / metabolism*
  • Chromatography, Liquid
  • Electrophoresis, Gel, Two-Dimensional / methods
  • Estrogens / pharmacology*
  • Female
  • Humerus / drug effects
  • Humerus / metabolism
  • Mass Spectrometry
  • Mice
  • Ovariectomy
  • Proteins / metabolism*
  • Proteome / analysis*
  • Reproducibility of Results
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Substances

  • Estrogens
  • Proteins
  • Proteome