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Record W4411223296 · doi:10.1101/2025.06.10.658867

Molecular basis of Siglec-10 ligand recognition and antibody blockade

2025· preprint· en· W4411223296 on OpenAlexaff
Klaudia Sobczak, Asier Antoñana-Vildosola, Pablo Valverde, Maria Alejandra Travecedo, Zeinab Jame-Chernaboo, Edward N. Schmidt, Silvia D’Andrea, Eunate Valdaliso-Díez, Iker Oyenarte, Maria Elena Laugieri, Maju Joe, Fahima Mozaneh, Sung-Yao Lin, Alexandre Bosch, María J. Moure, Antonio Franconetti, So Young Lee, Jone Etxaniz-Díaz de Durana, Lorena Pérez, Asís Palazón, Filipa Marcelo, Elisa Fadda, Francisco Corzana, Ana Gimeno, Jesús Jiménez‐Barbero, June Ereño‐Orbea, Luis Alfonso Martínez‐Cruz

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSIGLECAntibodyComputational biologyMolecular recognitionChemistryBiologyImmunologyMolecule

Abstract

fetched live from OpenAlex

ABSTRACT Siglec-10 is a sialic acid-binding immunoglobulin-like lectin implicated in immune regulation, yet the molecular basis for ligand recognition and how this is functionally linked to immune modulation remains poorly defined. Herein, we present a multidisciplinary study encompassing structural, biochemical, and cellular approaches to elucidate Siglec-10-carbohydrate interactions and their functional consequences. The crystal structure of the extracellular domain of Siglec-10 in complex with α2-6 sialyllactose revealed the presence of two key arginine residues within the Siglec-10 binding site that interact with the carboxyl group of sialic acid, the canonical R119 and R127, suggesting potential dual contributions to ligand engagement. Saturation Transfer Difference (STD)-Nuclear Magnetic Resonance (NMR) confirmed that R119 is essential for sialoglycan binding in solution, whereas R127 appears dispensable for interactions with glycans under these conditions. In contrast, cell-based binding assays using primary human T cells and engineered monocytic lines demonstrated that both arginine residues (R119 and R127) are critical for cellular recognition, revealing a context-dependent interaction. By obtaining direct images at a molecular resolution of 6-7 nm, super-resolution microscopy further revealed glycan-independent dimerization of the Siglec-10 receptor on the surface of human monocytes. Ligand blockade mediated by anti-Siglec-10 mAb (clone S10A) restores CAR-T cell cytotoxicity in vitro , supporting its role as an immune checkpoint receptor. Finally, although CD24 was not identified as a Siglec-10 ligand on T cells, proximity labeling and mass spectrometry uncovered other sialylated glycoproteins that may mediate this interaction. Together, these results identify Siglec-10 as a modulatory receptor with structural and functional features distinct from other Siglec family members and highlight its potential for therapeutic targeting in cancer immunotherapy.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.257
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

Explore more

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