数据科学
边疆
组学
稳健性(进化)
标准化
计算机科学
生物
计算生物学
生物信息学
地理
生物化学
考古
基因
操作系统
作者
Dario Bressan,Giorgia Battistoni,Gregory J. Hannon
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2023-08-03
卷期号:381 (6657)
被引量:130
标识
DOI:10.1126/science.abq4964
摘要
Spatial omics has been widely heralded as the new frontier in life sciences. This term encompasses a wide range of techniques that promise to transform many areas of biology and eventually revolutionize pathology by measuring physical tissue structure and molecular characteristics at the same time. Although the field came of age in the past 5 years, it still suffers from some growing pains: barriers to entry, robustness, unclear best practices for experimental design and analysis, and lack of standardization. In this Review, we present a systematic catalog of the different families of spatial omics technologies; highlight their principles, power, and limitations; and give some perspective and suggestions on the biggest challenges that lay ahead in this incredibly powerful—but still hard to navigate—landscape.
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