Single-Cell and Spatial Methods for Multimodal Functional Glycan Profiling in Tissues

Cancer Cancer
Computational Methods Computational Methods
Genomics Genomics
Alex K. Shalek Alex K. Shalek
Ankit Basak Ankit Basak
Bokai Zhu Bokai Zhu
Constantine Tzouanas Constantine Tzouanas
Evelyn Yuzhou Tong Evelyn Yuzhou Tong
Feng Shan Feng Shan
Sarah Sweeting Sarah Sweeting
Sidney Allison Sidney Allison
Somkene 'DK' Alakwe Somkene 'DK' Alakwe

Basak et al.▾ Basak, A., Ortiz-Cordero, C., Yiu, S. P. T.,Allison, S., Sweeting, S., Shan, F., Tong, Y. E., Chorghade, R.,Sosa-Guir, A., Alakwe, S. D., Tzouanas, C., Zhu, B., Gabba, A., Yeo, Y. Y., Wui, W., Qiu, H., Chang, Y., Wang, C., Carpenter, E. J., Gupta, S., Lima, G. M., Parmelee, L., Rock, P., Zhang, Y., Derda, R., Burack, W. R., Ma, Q., Shalek, A. K., Jiang, S., Kiessling, L.

bioRxiv

February, 2026

Abstract

Glycans regulate multiple physiological processes, including immune recognition and cancer progression. In disease, altered glycan landscapes are interpreted by human lectins. Functional glycan-lectin interactions are difficult to profile because glycans are not genome-encoded and their changes are poorly captured by existing multimodal methods. We present two platforms, single-cell outlining and transcriptome sequencing (scGOAT-seq) and GlycoScope, which use human lectins to enable functional glycan accessibility into single-cell and spatial multiomic measurements. ScGOAT-seq quantifies lectin-accessible glycan states with gene expression, while GlycoScope enables multiplexed in situ co-detection of glycans and proteins in tissues. Applying these approaches to immune cells, we identify stimulus-specific glycan remodeling and show that distinct Siglec-ligand-defined programs stratify immune activation states not captured by traditional methods; in follicular lymphoma, GlycoScope, resolves spatial glycan programs associated with malignant B cells and localized immune microenvironments. The presented methods provide a general framework for integrating functional glycan accessibility into single-cell and spatial multiomics.