Muscle has an intrinsic ability to change its mass and phenotype in response to activity. This process involves quantitative and qualitative changes in gene expression, including that of the myosin heavy chain isogenes that encode different types of molecular motors. This, and the differential expression of metabolic genes, results in altered fatigue resistance and power output. The regulation of muscle mass involves autocrine as well as systemic factors. We have cloned the cDNAs of local and systemic isoforms of insulin-like growth factor-I (IGF-I) from exercised muscle. Although different isoforms are derived from the IGF-I gene by alternative splicing, the RNA transcript of one of them is only detectable following injury and/or mechanical activity. Thus this protein has been called mechano growth factor (MGF). Because of a reading-frame shift, MGF has a different 3′ sequence and a different mode of action compared with systemic or liver IGF-I. Although MGF has been called a growth factor, it may be regulated as a local repair factor.
Skip Nav Destination
Article navigation
April 2002
-
Cover Image
Cover Image
- PDF Icon PDF LinkFront Matter
- PDF Icon PDF LinkTable of Contents
- PDF Icon PDF LinkAdvertising
Conference Article|
April 01 2002
Gene expression in skeletal muscle
G. Goldspink
G. Goldspink
1
1Departments of Anatomy and Surgery, Royal Free and University College Medical School, Royal Free Campus, University of London, Rowland Hill Street, London NW3 2PF, U.K.
1e-mail goldspink@rfc.ucl.ac.uk
Search for other works by this author on:
Publisher: Portland Press Ltd
Received:
December 18 2001
Online ISSN: 1470-8752
Print ISSN: 0300-5127
© 2002 Biochemical Society
2002
Biochem Soc Trans (2002) 30 (2): 285–290.
Article history
Received:
December 18 2001
Citation
G. Goldspink; Gene expression in skeletal muscle. Biochem Soc Trans 1 April 2002; 30 (2): 285–290. doi: https://doi.org/10.1042/bst0300285
Download citation file:
Sign in
Don't already have an account? Register
Sign in to your personal account
You could not be signed in. Please check your email address / username and password and try again.
Captcha Validation Error. Please try again.