转录组
生物
计算生物学
RNA序列
植物生物学
过程(计算)
生物技术
计算机科学
基因
遗传学
植物
基因表达
操作系统
作者
George Bawa,Zhixin Liu,Xiaole Yu,Lam‐Son Phan Tran,Xuwu Sun
标识
DOI:10.1016/j.tplants.2023.10.002
摘要
Single cell RNA-sequencing (scRNA-seq) advancements have helped detect transcriptional heterogeneities in biological samples. However, scRNA-seq cannot currently provide high-resolution spatial transcriptome information or identify subcellular organs in biological samples. These limitations have led to the development of spatially enhanced-resolution omics-sequencing (Stereo-seq), which combines spatial information with single cell transcriptomics to address the challenges of scRNA-seq alone. In this review, we discuss the advantages of Stereo-seq technology. We anticipate that the application of such an integrated approach in plant research will advance our understanding of biological process in the plant transcriptomics era. We conclude with an outlook of how such integration will enhance crop improvement.
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