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Frontiers in Bioscience
Article . 2009 . Peer-reviewed
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Proteomics of tendinopathy

Authors: Mary T, Johnson;

Proteomics of tendinopathy

Abstract

Recent advances in the basic understanding of both human biology and animal models have enabled an unprecedented level of information to be gathered about the genetic regulation of human disease. However, a corresponding insight into functional interactions between genetic information and protein expression has been slower to accumulate. Measuring mRNA transcripts does not yield a complete set of information about the protein dynamics involved in tissue injury and repair. Proteomics methods applied to unravel these relationships rely upon the identification and analysis of the proteins present within selected tissues and cells. Our understanding of complex biological processes can be enhanced by exploring the differences in protein structure and function between normal and injured tissues. This review concentrates on the development and application of proteomics techniques to uncover the specific processes and pathways involved in tendon injury and chronic tendinopathy.

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Keywords

Proteomics, Tendons, Wound Healing, Tendon Injuries, Humans, Connective Tissue Diseases

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    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
gold