Journal article
Turnover of cytoskeletal proteins in vivo
Brain research, v 533(1), pp 83-90
1990
PMID: 2085737
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The turnover of the microtubule-associated proteins 1B and 2 (MAP1B and MAP2), tubulin, high molecular weight neurofilament protein (NF-H), and spectrin were studied by in vivo labeling. Radiolabeled [
35S]methionine was injected intracranially to 10-day-old rats and the rate of turnover was measured for total and specific brain proteins. The turnover of total brain proteins was biphasic and consisted of a fast and a slow component with half lives of 6.5 ± 0.4 and 14.2 ± 0.7 (mean ±S.E.M.) days, respectively. The turnover of individual cytoskeletal brain proteins was also biphasic. The fast decay rates of MAP1B, MAP2, tubulin and spectrin were5.8 ± 0.7, 6.9 ± 0.3, 4.8 ± 0.5 and4.9 ± 0.4 days, respectively, while the slow decay rates of these proteins were12.0 ± 1.3, 12.4 ± 1.7, 15.0 ± 0.5 and16.0 ± 1.2 days, respectively. In addition, the Triton X-100 insoluble fraction of MAP1B, tubulin, spectrin and NF-H showed monophasic decay rates of 29.0 ± 2.3, 15.0 ± 1.4, 16.0 ± 0.9 and 18.5 ± 1.5 days, respectively, which were similar to their slow decay rates in whole brain homogenates, suggesting that incorporation of these proteins into the cytoskeletal lattice increases their stability.
Metrics
Details
- Title
- Turnover of cytoskeletal proteins in vivo
- Creators
- Roohangiz Safaei - Eunice Kennedy Shriver CenterItzhak Fischer - Eunice Kennedy Shriver Center
- Publication Details
- Brain research, v 533(1), pp 83-90
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:A1990EK42200013
- Scopus ID
- 2-s2.0-0025080764
- Other Identifier
- 991019203666004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Neurosciences