Literature DB >> 15352248

Evaluation of an integrated strategy for proteomic profiling of skeletal muscle.

Marie-Catherine Le Bihan1, Edward Tarelli, Gary R Coulton.   

Abstract

Proteomic analysis of skeletal muscle presents particular challenges when trying to identify valid biomarkers of phenotypic change in small biopsies from genetically diverse human subjects. Currently, two-dimensional (2-D) gel electrophoresis and mass spectrometry are the chosen analytical strategies but 2-D gels are not appropriate for analyzing proteins less than 11 kDa, they can suffer from problems of reproducibility and in routine use are not a viable high-throughput technique. We have evaluated an integrated proteomic strategy employing Ciphergen ProteinChip arrays, one-dimensional polyacrylamide gel electrophoresis and mass spectrometry. Protein fingerprints characteristic of fast and slow contracting muscles from normal and kyphoscoliosis (ky) mutant mice were obtained from Ciphergen protein arrays. Eight statistically validated protein biomarkers have so far been identified capable of discriminating fast from slow muscle. Five of these showed further differential expression in ky versus normal BDL soleus muscles. Several biomarkers have been formally identified, and were myosin light chain isoforms shown previously to be expressed differentially by fast versus slow skeletal muscles. This integrated experimental approach using a model mouse muscle system shows the potential of Ciphergen protein array technology for proteomic analysis of small proteins in small muscle samples and its applicability for phenotypic characterization of skeletal muscle in general.

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Year:  2004        PMID: 15352248     DOI: 10.1002/pmic.200300759

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  4 in total

1.  Subcellular proteomics of mice gastrocnemius and soleus muscles.

Authors:  Rui Vitorino; Rita Ferreira; Maria Neuparth; Sofia Guedes; Jason Williams; Kenneth B Tomer; Pedro M Domingues; Hans J Appell; José A Duarte; Francisco M L Amado
Journal:  Anal Biochem       Date:  2007-04-12       Impact factor: 3.365

2.  Validation of candidate serum ovarian cancer biomarkers for early detection.

Authors:  Feng Su; Jennifer Lang; Ashutosh Kumar; Carey Ng; Brian Hsieh; Marc A Suchard; Srinivasa T Reddy; Robin Farias-Eisner
Journal:  Biomark Insights       Date:  2007-10-16

3.  Heavy marijuana users show increased serum apolipoprotein C-III levels: evidence from proteomic analyses.

Authors:  S Jayanthi; S Buie; S Moore; R I Herning; W Better; N M Wilson; C Contoreggi; J L Cadet
Journal:  Mol Psychiatry       Date:  2008-05-13       Impact factor: 15.992

4.  The use of proteomics in identifying differentially expressed serum proteins in humans with type 2 diabetes.

Authors:  Tea Sundsten; Michael Eberhardson; Michael Göransson; Peter Bergsten
Journal:  Proteome Sci       Date:  2006-12-12       Impact factor: 2.480

  4 in total

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