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单细胞糖组学的新兴技术

Emerging technologies for single-cell glycomics.

作者信息

Keisham Sunada, Tateno Hiroaki

机构信息

Cellular and Molecular Biotechnology Research Institute, Multicellular System Regulation Research Group, National Institute of Advanced Industrial Science and Technology (AIST), Central 6, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, Japan.

Ph.D. Program in Human Biology, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Japan.

出版信息

BBA Adv. 2024 Nov 26;6:100125. doi: 10.1016/j.bbadva.2024.100125. eCollection 2024.

DOI:10.1016/j.bbadva.2024.100125
PMID:39687516
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11646792/
Abstract

Glycans are present on virtually all cellular surfaces and are important regulators of multicellular communications. Advances in single-cell omics technologies have revolutionized life science research by elucidating cellular heterogeneity through integrated multimodal analyses, providing a comprehensive view of cellular functions. However, dissecting the heterogeneity of glycans at the single-cell level has been challenging due to their structural complexity and unamplifiable nature. Recently, we developed a novel technology called single-cell glycan and RNA sequencing (scGR-seq), which converts glycan information into genetic information using DNA-barcoded lectins, amplifies it by PCR, and simultaneously measures the glycome and transcriptome in thousands of single cells on a next-generation sequencer. In this mini-review, we review the recent advances in single-cell glycomics, focusing on our scGR-seq technology.

摘要

聚糖几乎存在于所有细胞表面,是多细胞通讯的重要调节因子。单细胞组学技术的进步通过整合多模态分析阐明细胞异质性,为细胞功能提供了全面的视角,从而彻底改变了生命科学研究。然而,由于聚糖结构复杂且不可扩增,在单细胞水平剖析聚糖的异质性一直具有挑战性。最近,我们开发了一种名为单细胞聚糖和RNA测序(scGR-seq)的新技术,该技术使用DNA条形码凝集素将聚糖信息转化为遗传信息,通过PCR进行扩增,并在下一代测序仪上同时测量数千个单细胞中的糖组和转录组。在本综述中,我们回顾了单细胞糖组学的最新进展,重点介绍了我们的scGR-seq技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a4/11646792/86eb7943a2a2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a4/11646792/a8a9764269b2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a4/11646792/a9132b0878d3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a4/11646792/86eb7943a2a2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a4/11646792/a8a9764269b2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a4/11646792/a9132b0878d3/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a4/11646792/86eb7943a2a2/gr3.jpg

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本文引用的文献

1
Native N-glycome profiling of single cells and ng-level blood isolates using label-free capillary electrophoresis-mass spectrometry.使用无标记毛细管电泳-质谱法对单细胞和 ng 级血液分离物进行天然 N-糖组分析。
Nat Commun. 2024 May 8;15(1):3847. doi: 10.1038/s41467-024-47772-w.
2
Droplet-Based Glycan and RNA Sequencing for Profiling the Distinct Cellular Glyco-States in Single Cells.基于液滴的聚糖和 RNA 测序技术用于分析单细胞中独特的细胞糖基状态。
Small Methods. 2024 May;8(5):e2301338. doi: 10.1002/smtd.202301338. Epub 2024 Jan 2.
3
The technological landscape and applications of single-cell multi-omics.
单细胞多组学的技术领域和应用。
Nat Rev Mol Cell Biol. 2023 Oct;24(10):695-713. doi: 10.1038/s41580-023-00615-w. Epub 2023 Jun 6.
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Primary Structure of Glycans by NMR Spectroscopy.通过 NMR 光谱学研究聚糖的一级结构。
Chem Rev. 2023 Feb 8;123(3):1040-1102. doi: 10.1021/acs.chemrev.2c00580. Epub 2023 Jan 9.
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Deep learning explains the biology of branched glycans from single-cell sequencing data.深度学习从单细胞测序数据中解析分支聚糖的生物学特性。
iScience. 2022 Sep 19;25(10):105163. doi: 10.1016/j.isci.2022.105163. eCollection 2022 Oct 21.
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Single-cell glycomics analysis by CyTOF-Lec reveals glycan features defining cells differentially susceptible to HIV.通过 CyTOF-Lec 进行单细胞糖组学分析揭示了定义对 HIV 具有不同易感性的细胞的聚糖特征。
Elife. 2022 Jul 5;11:e78870. doi: 10.7554/eLife.78870.
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Applying transcriptomics to studyglycosylation at the cell type level.应用转录组学在细胞类型水平研究糖基化。
iScience. 2022 May 18;25(6):104419. doi: 10.1016/j.isci.2022.104419. eCollection 2022 Jun 17.
8
CD63-positive extracellular vesicles are potential diagnostic biomarkers of pancreatic ductal adenocarcinoma.CD63阳性细胞外囊泡是胰腺导管腺癌潜在的诊断生物标志物。
BMC Gastroenterol. 2022 Mar 28;22(1):153. doi: 10.1186/s12876-022-02228-7.
9
Development of Urinary Diagnostic Biomarker for IgA Nephropathy by Lectin Microarray.利用凝集素微阵列技术开发IgA肾病的尿液诊断生物标志物
Am J Nephrol. 2022;53(1):10-20. doi: 10.1159/000520998. Epub 2021 Dec 29.
10
Integrated analysis of glycan and RNA in single cells.单细胞中聚糖和RNA的综合分析。
iScience. 2021 Jul 17;24(8):102882. doi: 10.1016/j.isci.2021.102882. eCollection 2021 Aug 20.