Journal article
Tumor-associated protein SPIK/TATI suppresses serine protease dependent cell apoptosis
Apoptosis (London), v 13(4), pp 483-494
01 Apr 2008
PMID: 18347987
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Serine protease dependent cell apoptosis (SPDCA) is a recently described caspase independent innate apoptotic pathway. It differs from the traditional caspase dependent apoptotic pathway in that serine proteases, not caspases, are critical to the apoptotic process. The mechanism of SPDCA is still unclear and further investigation is needed to determine any role it may play in maintaining cellular homeostasis and development of disease. The current knowledge about this pathway is limited only to the inhibitory effects of some serine protease inhibitors. Synthetic agents such as pefabloc, AEBSF and TPCK can inhibit this apoptotic process in cultured cells. There is little known, however, about biologically active agents available in the cell which can inhibit SPDCA. Here, we show that over-expression of a cellular protein called serine protease inhibitor Kazal (SPIK/TATI/PSTI) results in a significant decrease in cell susceptibility to SPDCA, suggesting that SPIK is an apoptosis inhibitor suppressing this pathway of apoptosis. Previous work has associated SPIK and cancer development, indicating that this finding will help to open the doorway for further study on the mechanism of SPDCA and the role it may play in cancer development.
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Details
- Title
- Tumor-associated protein SPIK/TATI suppresses serine protease dependent cell apoptosis
- Creators
- Xuanyong Lu - Drexel UniversityJason Lamontagne - Baruch S. Blumberg InstituteFelix Lu - Drexel UniversityTimothy M. Block - Drexel University
- Publication Details
- Apoptosis (London), v 13(4), pp 483-494
- Publisher
- Springer Nature
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Web of Science ID
- WOS:000254302400002
- Scopus ID
- 2-s2.0-41149133740
- Other Identifier
- 991019167552504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemistry & Molecular Biology
- Cell Biology