Publication Date:
2006-09-16
Description:
Mycobacterium tuberculosis uses the ESX-1/Snm system [early secreted antigen 6 kilodaltons (ESAT-6) system 1/secretion in mycobacteria] to deliver virulence factors into host macrophages during infection. Despite its essential role in virulence, the mechanism of ESX-1 secretion is unclear. We found that the unstructured C terminus of the CFP-10 substrate was recognized by Rv3871, a cytosolic component of the ESX-1 system that itself interacts with the membrane protein Rv3870. Point mutations in the signal that abolished binding of CFP-10 to Rv3871 prevented secretion of the CFP-10 (culture filtrate protein, 10 kilodaltons)/ESAT-6 virulence factor complex. Attachment of the signal to yeast ubiquitin was sufficient for secretion from M. tuberculosis cells, demonstrating that this ESX-1 signal is portable.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Champion, Patricia A Digiuseppe -- Stanley, Sarah A -- Champion, Matthew M -- Brown, Eric J -- Cox, Jeffery S -- A105155/PHS HHS/ -- AI51667/AI/NIAID NIH HHS/ -- AI63302/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2006 Sep 15;313(5793):1632-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology and Immunology, University of California, San Francisco, 600 16th Street, Campus Box 2200, San Francisco, CA 94143-2200, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16973880" target="_blank"〉PubMed〈/a〉
Keywords:
Amino Acid Sequence
;
Antigens, Bacterial/chemistry/*metabolism
;
Bacterial Proteins/chemistry/genetics/*metabolism
;
Dimerization
;
Membrane Proteins/metabolism
;
Models, Biological
;
Molecular Sequence Data
;
Mutation
;
Mycobacterium tuberculosis/genetics/*metabolism/pathogenicity
;
Protein Binding
;
*Protein Sorting Signals
;
Protein Structure, Tertiary
;
Protein Transport
;
Recombinant Fusion Proteins/metabolism
;
Two-Hybrid System Techniques
;
Ubiquitin/metabolism
;
Virulence Factors/chemistry/*metabolism
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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