计算生物学
生物
数据科学
转录组
原位
计算机科学
基因
遗传学
基因表达
地理
气象学
作者
Anastasia Magoulopoulou,Sergio Marco Salas,Katarína Tiklová,Erik Samuelsson,Markus M. Hilscher,Mats Nilsson
出处
期刊:Annual Review of Genomics and Human Genetics
[Annual Reviews]
日期:2023-08-25
卷期号:24 (1): 133-150
被引量:1
标识
DOI:10.1146/annurev-genom-102722-092013
摘要
Elucidating spatiotemporal changes in gene expression has been an essential goal in studies of health, development, and disease. In the emerging field of spatially resolved transcriptomics, gene expression profiles are acquired with the tissue architecture maintained, sometimes at cellular resolution. This has allowed for the development of spatial cell atlases, studies of cell–cell interactions, and in situ cell typing. In this review, we focus on padlock probe–based in situ sequencing, which is a targeted spatially resolved transcriptomic method. We summarize recent methodological and computational tool developments and discuss key applications. We also discuss compatibility with other methods and integration with multiomic platforms for future applications.
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