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Reprogramming the glycocalyx: Advances in glycoengineering for immunomodulation and regenerative medicine

2025· article· en· W4414380192 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiomaterials · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsUniversity of British Columbia
FundersDepartment of Pathology and Laboratory Medicine, University of North Carolina School of MedicineCanadian Glycomics NetworkCanadian Institutes of Health ResearchMichael Smith Health Research BCCentre for Blood Research, University of British ColumbiaUniversity of British ColumbiaNatural Sciences and Engineering Research Council of CanadaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine
KeywordsRegenerative medicineReprogrammingGlycanGlycocalyxImmune systemCellTissue engineering

Abstract

fetched live from OpenAlex

This review explores the evolving landscape of glycoengineering on the cell surface, a pivotal field in translational medicine with profound implications for immunomodulation and regenerative therapies. The cell membrane and glycocalyx, composed of proteins, lipids, and glycans, govern cellular interactions, immune recognition, and tissue regeneration. Given the dynamic nature and important biological roles of these structures, precise glycoengineering strategies are essential for modulating cell behavior without compromising function and safety. We delve into genetic and non-genetic approaches to manipulation of cell surface patterns, including targeted glycan and glycosaminoglycan modifications, metabolic glycoengineering, the use of synthetic glycopolymers, and bio-orthogonal glycan functionalization. Enzymatic strategies for glycan cleavage and addition further expand the toolkit for controlled cell surface remodeling. These advancements hold promise for cancer immunotherapy, organ transplantation, islet transplantation, and cardiovascular disease treatments. Despite the considerable potential of glycoengineering, a number of challenges, such as membrane instability and unintended cellular alterations remain, necessitating precise control over modifications. This review critically evaluates emerging strategies, discussing their limitations and future directions in biomedical and bioengineering applications. By integrating glycocalyx biology with advanced engineering techniques, we provide a roadmap for harnessing cell surface engineering to enhance therapeutic efficacy, immune modulation, biomaterial innovation, and regenerative medicine. • Glycoengineering and genetic engineering enables precise control of cell surface glycans and GAGs. • Bio-orthogonal and mucin-mimetic tools allow dynamic cell surface modulation. • Enzymatic glycan editing supports targeted therapies in major disease areas. • Integrating glycocalyx biology with molecular and biomaterial engineering advances regenerative medicine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.184

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.281
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it