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单细胞组学:人类疾病和动物模型功能基因研究的新方向。

Single-cell omics: A new direction for functional genetic research in human diseases and animal models.

作者信息

Kong Siyuan, Li Rongrong, Tian Yunhan, Zhang Yaqiu, Lu Yuhui, Ou Qiaoer, Gao Peiwen, Li Kui, Zhang Yubo

机构信息

Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Animal Functional Genomics Group, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China; College of Animal Science and Technology, Qingdao Agricultural University, Qingdao, China.

Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-omics of MARA, Animal Functional Genomics Group, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.

出版信息

Front Genet. 2023 Jan 4;13:1100016. doi: 10.3389/fgene.2022.1100016. eCollection 2022.


DOI:10.3389/fgene.2022.1100016
PMID:36685871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9846559/
Abstract

Over the past decade, with the development of high-throughput single-cell sequencing technology, single-cell omics has been emerged as a powerful tool to understand the molecular basis of cellular mechanisms and refine our knowledge of diverse cell states. They can reveal the heterogeneity at different genetic layers and elucidate their associations by multiple omics analysis, providing a more comprehensive genetic map of biological regulatory networks. In the post-GWAS era, the molecular biological mechanisms influencing human diseases will be further elucidated by single-cell omics. This review mainly summarizes the development and trend of single-cell omics. This involves single-cell omics technologies, single-cell multi-omics technologies, multiple omics data integration methods, applications in various human organs and diseases, classic laboratory cell lines, and animal disease models. The review will reveal some perspectives for elucidating human diseases and constructing animal models.

摘要

在过去十年中,随着高通量单细胞测序技术的发展,单细胞组学已成为一种强大的工具,用于理解细胞机制的分子基础并完善我们对多种细胞状态的认识。它们可以揭示不同遗传层面的异质性,并通过多组学分析阐明它们之间的关联,从而提供更全面的生物调控网络遗传图谱。在后全基因组关联研究(GWAS)时代,单细胞组学将进一步阐明影响人类疾病的分子生物学机制。本综述主要总结了单细胞组学的发展和趋势。这包括单细胞组学技术、单细胞多组学技术、多组学数据整合方法、在各种人体器官和疾病中的应用、经典实验室细胞系以及动物疾病模型。该综述将揭示一些关于阐明人类疾病和构建动物模型的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/1f2d5b60e3ea/fgene-13-1100016-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/234118aa3ee1/fgene-13-1100016-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/7b92303ce02c/fgene-13-1100016-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/74882e55b530/fgene-13-1100016-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/1f2d5b60e3ea/fgene-13-1100016-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/234118aa3ee1/fgene-13-1100016-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/7b92303ce02c/fgene-13-1100016-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/74882e55b530/fgene-13-1100016-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d068/9846559/1f2d5b60e3ea/fgene-13-1100016-g004.jpg

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[5]
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[6]
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[7]
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本文引用的文献

[1]
Single-cell atlas of domestic pig cerebral cortex and hypothalamus.

Sci Bull (Beijing). 2021-7-30

[2]
Intratumor heterogeneity and T cell exhaustion in primary CNS lymphoma.

Genome Med. 2022-9-24

[3]
Live-seq enables temporal transcriptomic recording of single cells.

Nature. 2022-8

[4]
Transcriptomics, regulatory syntax, and enhancer identification in mesoderm-induced ESCs at single-cell resolution.

Cell Rep. 2022-8-16

[5]
Nucleosome-Omics: A Perspective on the Epigenetic Code and 3D Genome Landscape.

Genes (Basel). 2022-6-22

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Single-cell approaches in human microbiome research.

Cell. 2022-7-21

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Nat Rev Genet. 2023-1

[8]
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Nat Commun. 2022-7-13

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Nucleic Acids Res. 2022-7-22

[10]
DeepLoop robustly maps chromatin interactions from sparse allele-resolved or single-cell Hi-C data at kilobase resolution.

Nat Genet. 2022-7

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