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Protein and Sugar Export and Assembly in Gram-positive Bacteria

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Attention for Chapter 8: Anchoring of LPXTG-Like Proteins to the Gram-Positive Cell Wall Envelope
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Chapter title
Anchoring of LPXTG-Like Proteins to the Gram-Positive Cell Wall Envelope
Chapter number 8
Book title
Protein and Sugar Export and Assembly in Gram-positive Bacteria
Published in
Current topics in microbiology and immunology, January 2016
DOI 10.1007/82_2016_8
Pubmed ID
Book ISBNs
978-3-31-956012-0, 978-3-31-956014-4
Authors

Sara D. Siegel, Melissa E. Reardon, Hung Ton-That, Siegel, Sara D., Reardon, Melissa E., Ton-That, Hung

Abstract

In Gram-positive bacteria, protein precursors with a signal peptide and a cell wall sorting signal (CWSS)-which begins with an LPXTG motif, followed by a hydrophobic domain and a tail of positively charged residues-are targeted to the cell envelope by a transpeptidase enzyme call sortase. Evolution and selective pressure gave rise to six classes of sortase, i.e., SrtA-F. Only class C sortases are capable of polymerizing substrates harboring the pilin motif and CWSS into protein polymers known as pili or fimbriae, whereas the others perform cell wall anchoring functions. Regardless of the products generated from these sortases, the basic principle of sortase-catalyzed transpeptidation is the same. It begins with the cleavage of the LPXTG motif, followed by the cross-linking of this cleaved product at the threonine residue to a nucleophile, i.e., an active amino group of the peptidoglycan stem peptide or the lysine residue of the pilin motif. This chapter will summarize the efforts to identify and characterize sortases and their associated pathways with emphasis on the cell wall anchoring function.

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Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Researcher 5 14%
Student > Master 4 11%
Student > Postgraduate 3 8%
Professor 2 6%
Other 4 11%
Unknown 8 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 28%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 4 11%
Immunology and Microbiology 3 8%
Chemistry 3 8%
Other 5 14%
Unknown 6 17%