Article ; Online: Exploring the identity of individual plant cells in space and time.
2023 Volume 240, Issue 1, Page(s) 61–67
Abstract: In recent years, single-cell genomics, coupled to imaging techniques, have become the state-of-the-art approach for characterising biological systems. In plant sciences, a variety of tissues and species have been profiled, providing an enormous quantity ... ...
Abstract | In recent years, single-cell genomics, coupled to imaging techniques, have become the state-of-the-art approach for characterising biological systems. In plant sciences, a variety of tissues and species have been profiled, providing an enormous quantity of data on cell identity at an unprecedented resolution, but what biological insights can be gained from such data sets? Using recently published studies in plant sciences, we will highlight how single-cell technologies have enabled a better comprehension of tissue organisation, cell fate dynamics in development or in response to various stimuli, as well as identifying key transcriptional regulators of cell identity. We discuss the limitations and technical hurdles to overcome, as well as future directions, and the promising use of single-cell omics to understand, predict, and manipulate plant development and physiology. |
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MeSH term(s) | Plant Cells ; Genomics/methods ; Cell Differentiation ; Plants/genetics |
Language | English |
Publishing date | 2023-07-22 |
Publishing country | England |
Document type | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 208885-x |
ISSN | 1469-8137 ; 0028-646X |
ISSN (online) | 1469-8137 |
ISSN | 0028-646X |
DOI | 10.1111/nph.19153 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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