Chenguang Liang

TL;DR: It is shown that commensal host bacterial communities can modify HS and thereby modulate SARS-CoV-2 spike protein binding and that these communities change with host age and sex.

TL;DR: This modeling approach enables rational glycoengineering and the elucidation of relationships between glycosyltransferases, thereby facilitating biopharmaceutical research and aiding the broader study of Glycosylation to elucidate the genetic basis of complex changes in glycosYLation.

TL;DR: Linear Code for Reaction Rules (LiCoRR), version 1.0, is presented, an unambiguous representation for describing glycosylation reactions in both literature and code to minimize inconsistent symbology thereby making glycan database queries easier.

TL;DR: The role of aberrant glycosylation in this process, and how it influences tumor immunity and immunotherapy is beginning to emerge as discussed by the authors, and the emerging technologies in systems glycobiology are enabling deeper insights into cancer immuno-oncology, helping identify novel drug targets and key biomarkers of cancer, and facilitating the rational design of glyco-immunotherapies.

TL;DR: With a clear guide for generating reaction rule descriptions, glycan synthesis models will be more interoperable and reproducible thereby moving glycoinformatics closer to compliance with FAIR standards.