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Transcriptome-wide identification of glycoRNAs by Clier-seq pipeline

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摘要 RNA molecules can undergo modification by N-glycans and be displayed on the cell surface.However,recent studies have focused primarily on N-glycan modifications on small RNAs less than 200 nt in length;the transcriptome-wide subtypes of glycosylated RNAs(glycoRNAs)remain poorly characterized.Since glycoRNAs account for only a fraction of the total transcriptome,a validation system for their accurate analysis has not yet been established.In this study,we aimed to comprehensively characterize transcriptome-wide global glycoRNAs and novel glycoRNA subtypes in both epithelial cells and B cells.Using metabolic labeling and density gradient centrifugation methods,we identified glycoRNAs predominantly below 2,000 nt in both epithelial cells and B cells.We then developed the Clier-seq(click chemistrybased enrichment of glycoRNAs sequencing)method to maximize the coverage of glycoRNAs(ranging from 50 to 2,000 nt)and utilized the HISAT-String Tie-Ballgown pipeline to predict novel glycoRNA subtypes.We also established Clier-qPCR assays(click chemistry-based enrichment of glycoRNAs RT-qPCR)to validate the specificity of the candidate glycoRNAs.We demonstrated that transfer RNAs(tRNAs),particularly tRNAs(Ser),tRNAs(Thr),tRNAs(Val),and tRNAs(Lys),are the primary targets of glycosylation.Additionally,we found that vaultRNAs(vtRNAs),specifically vtRNA2-1,are glycosylated.Furthermore,we discovered several novel glycosylated long noncoding RNAs ranging from 200 to 400 nt in length.Herein,we propose a standardized bioinformatics pipeline for glycoRNA research,enabling accurate and comprehensive identification of glycoRNAs throughout the transcriptome.
出处 《Science China(Life Sciences)》 2026年第1期72-84,共13页 中国科学(生命科学英文版)
基金 supported by the National Key Research and Development Program of China(2022YFC3400900) the National Natural Science Foundation of China(81830090,82321003,82202510,U22A20322,82030046) the Program for Guangdong Introducing Innovative and Entrepreneurial Teams(2019BT02Y198) the Guangdong Science and Technology Department(2020B1212030004) the Sun Yat-sen University Talent Program(22yklj08)。
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