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由单细胞转录组学揭示的细胞和组织特异性糖基化途径。

Cell- and tissue-specific glycosylation pathways informed by single-cell transcriptomics.

作者信息

Chrysinas Panagiotis, Venkatesan Shriramprasad, Ang Isaac, Ghosh Vishnu, Chen Changyou, Neelamegham Sriram, Gunawan Rudiyanto

机构信息

Department of Chemical and Biological Engineering, University at Buffalo-SUNY, 308 Furnas Hall, Buffalo, NY 14260, USA.

Department of Computer Science, University of Illinois Urbana-Champaign, 201 North Goodwin Avenue, Urbana, IL 61801, USA.

出版信息

NAR Genom Bioinform. 2024 Dec 18;6(4):lqae169. doi: 10.1093/nargab/lqae169. eCollection 2024 Dec.

DOI:10.1093/nargab/lqae169
PMID:39703423
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11655298/
Abstract

While single-cell studies have made significant impacts in various subfields of biology, they lag in the Glycosciences. To address this gap, we analyzed single-cell glycogene expressions in the Tabula Sapiens dataset of human tissues and cell types using a recent glycosylation-specific gene ontology (GlycoEnzOnto). At the median sequencing (count) depth, ∼40-50 out of 400 glycogenes were detected in individual cells. Upon increasing the sequencing depth, the number of detectable glycogenes saturates at ∼200 glycogenes, suggesting that the average human cell expresses about half of the glycogene repertoire. Hierarchies in glycogene and glycopathway expressions emerged from our analysis: nucleotide-sugar synthesis and transport exhibited the highest gene expressions, followed by genes for core enzymes, glycan modification and extensions, and finally terminal modifications. Interestingly, the same cell types showed variable glycopathway expressions based on their organ or tissue origin, suggesting nuanced cell- and tissue-specific glycosylation patterns. Probing deeper into the transcription factors (TFs) of glycogenes, we identified distinct groupings of TFs controlling different aspects of glycosylation: core biosynthesis, terminal modifications, etc. We present webtools to explore the interconnections across glycogenes, glycopathways and TFs regulating glycosylation in human cell/tissue types. Overall, the study presents an overview of glycosylation across multiple human organ systems.

摘要

虽然单细胞研究在生物学的各个子领域都产生了重大影响,但在糖科学领域却相对滞后。为了填补这一空白,我们使用最近的糖基化特异性基因本体(GlycoEnzOnto)分析了人类组织和细胞类型的人类细胞图谱数据集(Tabula Sapiens)中的单细胞糖基因表达。在测序(计数)深度的中位数时,在单个细胞中检测到400个糖基因中的约40 - 50个。随着测序深度的增加,可检测到的糖基因数量在约200个糖基因时达到饱和,这表明人类平均细胞表达了约一半的糖基因库。我们的分析揭示了糖基因和糖途径表达的层次结构:核苷酸糖的合成和转运表现出最高的基因表达,其次是核心酶、聚糖修饰和延伸的基因,最后是末端修饰的基因。有趣的是,相同的细胞类型根据其器官或组织来源表现出可变的糖途径表达,这表明存在细微的细胞和组织特异性糖基化模式。深入探究糖基因的转录因子(TFs),我们确定了控制糖基化不同方面(如核心生物合成、末端修饰等)的不同TFs分组。我们提供了网络工具来探索人类细胞/组织类型中糖基因、糖途径和调节糖基化的TFs之间的相互联系。总体而言,该研究概述了多个人类器官系统中的糖基化情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/b23a9316fe00/lqae169fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/d6f670e4f0d1/lqae169fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/908168f8e54f/lqae169fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/93a1685eb252/lqae169fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/b23a9316fe00/lqae169fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/d6f670e4f0d1/lqae169fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/908168f8e54f/lqae169fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/93a1685eb252/lqae169fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8032/11655298/b23a9316fe00/lqae169fig4.jpg

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2
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Small Methods. 2024 May;8(5):e2301338. doi: 10.1002/smtd.202301338. Epub 2024 Jan 2.
3
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4
The specious art of single-cell genomics.单细胞基因组学的似是而非的艺术。
PLoS Comput Biol. 2023 Aug 17;19(8):e1011288. doi: 10.1371/journal.pcbi.1011288. eCollection 2023 Aug.
5
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7
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Database (Oxford). 2022 Sep 16;2022. doi: 10.1093/database/baac083.
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