Literature DB >> 19670388

Label-free quantitative proteome analysis of skeletal tissues under mechanical load.

Wei-Bing Zhang1, Lin Wang.   

Abstract

Skeletal tissue has the capability to adapt its mass and structure in response to mechanical stress. However, the molecular mechanism of bone and cartilage to respond to mechanical stress are not fully understood. A label-free quantitative proteome approach was used for the first time to obtain a global perspective of the response of skeletal tissue to mechanical stress. Label-free quantitative analysis of 1D-PAGE-LC/MS/MS based proteomics was applied to identify differentially expressed proteins. Differential expression analysis in the experimental groups and control group showed significant changes for 248 proteins including proteins related to proliferation, differentiation, regulation of signal transduction and energy metabolic pathways. Fluorescence labeling by incorporation of alizarin/calcein in newly formed bone minerals qualitatively demonstrated new bone formation. Skeletal tissues under mechanical load evoked marked new bone formation in comparison with the control group. Bone material apposition was evident. Our data suggest that 39 proteins were assigned a role in anabolic process. Comparisons of anabolic versus catabolic features of the proteomes show that 42 proteins were related to catabolic. In addition, some proteins were related to regulation of signal transduction and energy pathways, such as tropomyosin 4, fibronectin 1, and laminin, might be new molecular targets that are responsive to mechanical force. Differentially expressed proteins identified in this model may offer a useful starting point for elucidating novel aspects of the effects of mechanical force on skeletal tissue. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19670388     DOI: 10.1002/jcb.22291

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  6 in total

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Authors:  Peter M Govey; Jon M Jacobs; Susan C Tilton; Alayna E Loiselle; Yue Zhang; Willard M Freeman; Katrina M Waters; Norman J Karin; Henry J Donahue
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3.  High throughput proteomic analysis of the secretome in an explant model of articular cartilage inflammation.

Authors:  Abigail L Clutterbuck; Julia R Smith; David Allaway; Pat Harris; Susan Liddell; Ali Mobasheri
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4.  Applications of proteomics to osteoarthritis, a musculoskeletal disease characterized by aging.

Authors:  Ali Mobasheri
Journal:  Front Physiol       Date:  2011-12-23       Impact factor: 4.566

5.  Polycystin-1 mediates mechanical strain-induced osteoblastic mechanoresponses via potentiation of intracellular calcium and Akt/β-catenin pathway.

Authors:  Hua Wang; Wen Sun; Junqing Ma; Yongchu Pan; Lin Wang; Weibing Zhang
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

6.  Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism, and ecosystem carbon fluxes.

Authors:  Silvia Mazzuca; M Björk; S Beer; P Felisberto; S Gobert; G Procaccini; J Runcie; J Silva; A V Borges; C Brunet; P Buapet; W Champenois; M M Costa; D D'Esposito; M Gullström; P Lejeune; G Lepoint; I Olivé; L M Rasmusson; J Richir; M Ruocco; I A Serra; A Spadafora; Rui Santos
Journal:  Front Plant Sci       Date:  2013-03-19       Impact factor: 5.753

  6 in total

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