Literature DB >> 28899088

Identification of Siglec Ligands Using a Proximity Labeling Method.

Lanyi Chang, Yi-Ju Chen, Chan-Yo Fan1, Chin-Ju Tang, Yi-Hsiu Chen, Penk-Yeir Low, Albert Ventura, Chun-Cheng Lin1, Yu-Ju Chen, Takashi Angata2.   

Abstract

Siglecs are a family of receptor-type glycan recognition proteins (lectins) involved in self-nonself discrimination by the immune system. Identification of Siglec ligands is necessary to understand how Siglec-ligand interaction translates into biological outcomes. However, this is challenging because the interaction is weak. To facilitate identification of Siglec ligands, we adopted a proximity labeling method based on the tyramide radicalization principle. Cells that express Siglec ligands were labeled with Siglec-peroxidase complexes and incubated with biotin tyramide and hydrogen peroxide to generate short-lived tyramide radicals that covalently label the proteins near the Siglec-peroxidase complex. A proof-of-principle experiment using CD22 (Siglec-2) probe identified its known ligands on B cells, including CD22 itself, CD45, and IgM, among others, demonstrating the validity of this method. The specificity of labeling was confirmed by sialidase treatment of target cells and using glycan recognition-deficient mutant CD22 probes. Moreover, possible interactions between biotin-labeled proteins were revealed by literature-based protein-protein interaction network analysis, implying the presence of a molecular cluster comprising CD22 ligands. Further application of this method identified CD44 as a hitherto unknown Siglec-15 ligand on RAW264.7-derived osteoclasts. These results demonstrated the utility of proximity labeling for the identification of Siglec ligands, which may extend to other lectins.

Entities:  

Keywords:  Siglec; lectin; ligand; peroxidase; proteomics; proximity labeling; sialic acid; tyramide

Mesh:

Substances:

Year:  2017        PMID: 28899088     DOI: 10.1021/acs.jproteome.7b00625

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


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