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Chemoenzymatic Measurement of Cell-surface Glycan in Single-cell Multiomics: LacNAc as an Example

Authors :
Wenhao Yu
Xinlu Zhao
Abubakar S. Jalloh
Yingying Zhao
Brandon Dinner
Yang Yang
Shian Ouyang
Yachao Li
Tian Tian
Zihan Zhao
Rong Yang
Mingkuan Chen
Gregoire Lauvau
Zijian Guo
Peng Wu
Jie P. Li
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

Despite the rich information of a cell’s physiological state encoded in the dynamic changes of cell-surface glycans, methods of capturing glycosylation states at the single-cell level are quite limited. Here we report a chemoenzymatic single-cell N-acetyllactosamine (LacNAc) detection method via tagging the LacNAc with a specific DNA barcode. Compared to the lectin-based glycan detection, the chemoenzymatic labeling does not change the transcriptional status of immune cells and is more compatible with scRNA-seq. Integrated analysis of LacNAc and transcriptome of T cells at a single-cell level reveals that the quantity of cell-surface LacNAc is significantly upregulated in activated CD8+ T cells but maintained at the basal level in quiescent CD8+ T cells (i.e., naive and central memory T cells). Further analysis confirms that the LacNAc level is positively correlated to the glycolytic activity of CD8+ T cells at all statues. Taken together, our study demonstrates the feasibility of chemoenzymatic detection of cell-surface glycan in single-cell RNA sequencing-based multiomics with information of TCR sequence and cell-surface epitopes (i.e., scTCR and CITE-seq) and offers a new way to characterize the biological role of glycan in diversified physiological states.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........231e862ad8d135f15be855c68667cdfa
Full Text :
https://doi.org/10.1101/2022.09.01.506123