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Title: Space: the final frontier — achieving single-cell, spatially resolved transcriptomics in plants
Single-cell RNA-seq is a tool that generates a high resolution of transcriptional data that can be used to understand regulatory networks in biological systems. In plants, several methods have been established for transcriptional analysis in tissue sections, cell types, and/or single cells. These methods typically require cell sorting, transgenic plants, protoplasting, or other damaging or laborious processes. Additionally, the majority of these technologies lose most or all spatial resolution during implementation. Those that offer a high spatial resolution for RNA lack breadth in the number of transcripts characterized. Here, we briefly review the evolution of spatial transcriptomics methods and we highlight recent advances and current challenges in sequencing, imaging, and computational aspects toward achieving 3D spatial transcriptomics of plant tissues with a resolution approaching single cells. We also provide a perspective on the potential opportunities to advance this novel methodology in plants.  more » « less
Award ID(s):
1945854
NSF-PAR ID:
10279604
Author(s) / Creator(s):
; ; ;
Editor(s):
Jez, Joseph M.; Topp, Christopher N.
Date Published:
Journal Name:
Emerging Topics in Life Sciences
Volume:
5
Issue:
2
ISSN:
2397-8554
Page Range / eLocation ID:
179 to 188
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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