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Chemoproteomics reveals Toll-like receptor fatty acylation

Overview of attention for article published in BMC Biology, November 2014
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Title
Chemoproteomics reveals Toll-like receptor fatty acylation
Published in
BMC Biology, November 2014
DOI 10.1186/s12915-014-0091-3
Pubmed ID
Authors

Nicholas M Chesarino, Jocelyn C Hach, James L Chen, Balyn W Zaro, Murugesan VS Rajaram, Joanne Turner, Larry S Schlesinger, Matthew R Pratt, Howard C Hang, Jacob S Yount

Abstract

BackgroundPalmitoylation is a 16-carbon lipid post-translational modification that increases protein hydrophobicity. This form of protein fatty acylation is emerging as a critical regulatory modification for multiple aspects of cellular interactions and signaling. Despite recent advances in the development of chemical tools for the rapid identification and visualization of palmitoylated proteins, the palmitoyl proteome has not been fully defined. Here we sought to identify and compare the palmitoylated proteins in murine fibroblasts and dendritic cells.Results563 putative palmitoylation substrates were identified, more than 200 of which have not been previously suggested to be palmitoylated in past proteomic studies. Here we validate the palmitoylation of several new proteins including TLRs 2, 5, and 10, CD80, CD86, and NEDD4. Palmitoylation of TLR2, which was uniquely identified in dendritic cells, was mapped to a transmembrane domain-proximal cysteine. Inhibition of TLR2 S-palmitoylation pharmacologically or by cysteine mutagenesis led to decreased cell surface expression and a decreased inflammatory response to microbial ligands.ConclusionsThis work identifies many fatty acylated proteins involved in fundamental cellular processes as well as cell type-specific functions, highlighting the value of examining the palmitoyl proteomes of multiple cell types. S-palmitoylation of TLR2 is a previously unknown immunoregulatory mechanism that represents an entirely novel avenue for modulation of TLR2 inflammatory activity.

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Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 14 25%
Other 5 9%
Student > Bachelor 4 7%
Professor 2 4%
Other 7 12%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 32%
Biochemistry, Genetics and Molecular Biology 17 30%
Chemistry 8 14%
Immunology and Microbiology 3 5%
Medicine and Dentistry 1 2%
Other 2 4%
Unknown 8 14%