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空间转录组学研究进展及其应用

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空间转录组学是在组织切片上完成,保留样本空间信息的组学研究。空间转录组学旨在将空间信息与基因表达数据相结合,从而在组织和细胞的空间背景下量化大量基因的mRNA表达。作为生物学研究的范式转变,空间转录组能够同时提供转录组水平的细胞基因表达数据和空间位置信息,阐明细胞和微环境之间的相互作用。从对RNA整个功能生命周期的理解,到对分子机制的描述,再到绘制不同组织区域的基因表达图谱,研究人员通过选择合适的空间转录组技术,可以实现更深一步探索生物发育过程和疾病发病机制等。近年来,空间转录组学领域在快速发展的同时也迎来了诸多挑战,比如样本类型的依赖性、可视化基因的分辨率、商业化的难易程度、获得详细单细胞信息的能力等。本文总结并回顾了四大类空间转录组技术,比较并分析多种研究策略的技术优势及主要挑战,以协助当前的实验设计和研究分析。最后总结并展望了空间转录组学在多组学整合分析和疾病模型建立中的重要意义以及未来的发展前景。
Advances and applications in spatial transcriptomics
Spatial transcriptomics is an organizational study done on tissue sections that preserves the spa-tial information of the sample.Spatial transcriptomics aims to combine spatial information with gene ex-pression data to quantify the mRNA expression of a large number of genes in the spatial context of tissues and cells.As a paradigm shift in biological research,spatial transcriptomics can provide both spatial loca-tion information and transcriptome-level cellular gene expression data,elucidating the interactions between cells and the microenvironment.From the understanding of the entire functional life cycle of RNA to the characterization of molecular mechanisms to the mapping of gene expression in various tissue regions,by choosing the appropriate spatial transcriptome technology,researchers can achieve a deeper exploration of biological developmental processes,disease pathogenesis,etc.In recent years,the field of spatial tran-scriptomics has ushered in several challenges along with its rapid development,such as the dependence on sample types,the resolution of visualized genes,the difficulty of commercialization,and the ability to ob-tain detailed single-cell information.In this paper,we summarize and review the four major categories of spatial transcriptome technologies and compare and analyze the technical advantages and major challenges of multiple research strategies to assist current experimental design and research analysis.Finally,the im-portance of spatial transcriptomics in the integration of multi-omics analysis and disease modeling as well as the future development prospects are summarized and outlined.

spatial transcriptomicsspatial positionomics technologymulti-omics

孙月秋、于年祚、张俊虎

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吉林大学化学学院,超分子结构与材料国家重点实验室,吉林长春 130012

空间转录组 空间位置 组学技术 多组学

National Natural Science Foundation of China

22275071

2024

分子科学学报
中国化学会

分子科学学报

CSTPCD
影响因子:0.434
ISSN:1000-9035
年,卷(期):2024.40(2)
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