Literature DB >> 32817557

An enzymatic toolkit for selective proteolysis, detection, and visualization of mucin-domain glycoproteins.

D Judy Shon1, Stacy A Malaker1, Kayvon Pedram1, Emily Yang1, Venkatesh Krishnan2, Oliver Dorigo2, Carolyn R Bertozzi3,4.   

Abstract

Densely O-glycosylated mucin domains are found in a broad range of cell surface and secreted proteins, where they play key physiological roles. In addition, alterations in mucin expression and glycosylation are common in a variety of human diseases, such as cancer, cystic fibrosis, and inflammatory bowel diseases. These correlations have been challenging to uncover and establish because tools that specifically probe mucin domains are lacking. Here, we present a panel of bacterial proteases that cleave mucin domains via distinct peptide- and glycan-based motifs, generating a diverse enzymatic toolkit for mucin-selective proteolysis. By mutating catalytic residues of two such enzymes, we engineered mucin-selective binding agents with retained glycoform preferences. StcEE447D is a pan-mucin stain derived from enterohemorrhagic Escherichia coli that is tolerant to a wide range of glycoforms. BT4244E575A derived from Bacteroides thetaiotaomicron is selective for truncated, asialylated core 1 structures commonly associated with malignant and premalignant tissues. We demonstrated that these catalytically inactive point mutants enable robust detection and visualization of mucin-domain glycoproteins by flow cytometry, Western blot, and immunohistochemistry. Application of our enzymatic toolkit to ascites fluid and tissue slices from patients with ovarian cancer facilitated characterization of patients based on differences in mucin cleavage and expression patterns.

Entities:  

Keywords:  O-glycosylation; immunohistochemistry; mass spectrometry; mucin; mucinase

Mesh:

Substances:

Year:  2020        PMID: 32817557      PMCID: PMC7474620          DOI: 10.1073/pnas.2012196117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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