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A Lectin HPLC Method to Enrich Selectively-glycosylated Peptides from Complex Biological Samples
Published on: October 1, 2009
Profiling Multiplexed Protein-Specific Sialylation in Cancer Drug Resistance Using Proximity Ligation Sequencing
Ning Zhang1,2, Gaoyu Song3, Zhiyuan Peng2
1School of Chemistry and Materials, University of Science and Technology of China, Hefei, Anhui, China.
Abstract:
Aberrant glycosylation, particularly enhanced sialylation of membrane proteins, acts as a critical regulator of receptor signaling, immune evasion, and therapeutic resistance in cancer. However, systematic and multiplexed interrogation of protein-specific sialylation in living cells remains technically challenging. Here, we report SATP-seq, a next-generation sequencing-based strategy that integrates a sialic acid-reactive probe (SA) with a targeted protein probe (TP) to enable ensemble profiling of protein-specific sialylation. By combining metabolic glycan labeling with nanobody- or aptamer-mediated protein recognition, SATP-seq achieves dual recognition of sialic acids and protein epitopes through DNA-programmed proximity ligation. The resulting ligation products encode sialylation states into unique DNA barcodes, converting glycosylation information into sequencable signals for multiplexed and quantitative analysis within a single sequencing run. Application of SATP-seq to gefitinib-sensitive PC9 and gefitinib-resistant PC9GR cells enables parallel profiling of seven membrane glycoproteins and reveals resistance-associated remodeling of protein-specific sialylation. Notably, differential sialylation of EGFR and CD47 emerges between sensitive and resistant cells, suggesting coordinated reprogramming of proliferative and immune-regulatory pathways. Enzymatic desialylation, EGFR knockdown, and proteomic validation collectively confirm the specificity and biological relevance of these alterations. Together, these findings establish multiplexed protein-specific sialylation profiling as a scalable approach for dissecting glycosylation-driven mechanisms of cancer drug resistance.

