Literature DB >> 33152518

Single-Cell Transcriptome Analysis in Plants: Advances and Challenges.

Rahul Shaw1, Xin Tian1, Jian Xu2.   

Abstract

The rapid and enthusiastic adoption of single-cell RNA sequencing (scRNA-seq) has demonstrated that this technology is far more than just another way to perform transcriptome analysis. It is not an exaggeration to say that the advent of scRNA-seq is revolutionizing the details of whole-transcriptome snapshots from a tissue to a cell. With this disruptive technology, it is now possible to mine heterogeneity between tissue types and within cells like never before. This enables more rapid identification of rare and novel cell types, simultaneous characterization of multiple different cell types and states, more accurate and integrated understanding of their roles in life processes, and more. However, we are only at the beginning of unlocking the full potential of scRNA-seq applications. This is particularly true for plant sciences, where single-cell transcriptome profiling is in its early stage and has many exciting challenges to overcome. In this review, we compare and evaluate recent pioneering studies using the Arabidopsis root model, which has established new paradigms for scRNA-seq studies in plants. We also explore several new and promising single-cell analysis tools that are available to those wishing to study plant development and physiology at unprecedented resolution and scale. In addition, we propose some future directions on the use of scRNA-seq technology to tackle some of the critical challenges in plant research and breeding.
Copyright © 2020 The Author. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  bioinformatics pipelines; cell types and states; plant development and physiology; single-cell RNA sequencing; single-cell transcriptome analysis

Mesh:

Year:  2020        PMID: 33152518     DOI: 10.1016/j.molp.2020.10.012

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  25 in total

1.  Different threats, same response.

Authors:  Benjamin J Cole; Susannah G Tringe
Journal:  Nat Plants       Date:  2021-05       Impact factor: 15.793

2.  Isolation of Plant Nuclei Compatible with Microfluidic Single-nucleus ATAC-sequencing.

Authors:  Sandra B Thibivilliers; Dirk K Anderson; Marc Y Libault
Journal:  Bio Protoc       Date:  2021-12-05

3.  Plant PhysioSpace: navigating the "space" of plant stress responses.

Authors:  Eva Malečková
Journal:  Plant Physiol       Date:  2021-11-03       Impact factor: 8.340

4.  scCloudMine: A cloud-based app for visualization, comparison, and exploration of single-cell transcriptomic data.

Authors:  Mathew G Lewsey; Changyu Yi; Oliver Berkowitz; Felipe Ayora; Maurice Bernado; James Whelan
Journal:  Plant Commun       Date:  2022-01-22

5.  The maize single-nucleus transcriptome comprehensively describes signaling networks governing movement and development of grass stomata.

Authors:  Guiling Sun; Mingzhang Xia; Jieping Li; Wen Ma; Qingzeng Li; Jinjin Xie; Shenglong Bai; Shanshan Fang; Ting Sun; Xinlei Feng; Guanghui Guo; Yanli Niu; Jingyi Hou; Wenling Ye; Jianchao Ma; Siyi Guo; Hongliang Wang; Yu Long; Xuebin Zhang; Junli Zhang; Hui Zhou; Baozhu Li; Jiong Liu; Changsong Zou; Hai Wang; Jinling Huang; David W Galbraith; Chun-Peng Song
Journal:  Plant Cell       Date:  2022-04-26       Impact factor: 12.085

Review 6.  A glossary of plant cell structures: Current insights and future questions.

Authors:  Byung-Ho Kang; Charles T Anderson; Shin-Ichi Arimura; Emmanuelle Bayer; Magdalena Bezanilla; Miguel A Botella; Federica Brandizzi; Tessa M Burch-Smith; Kent D Chapman; Kai Dünser; Yangnan Gu; Yvon Jaillais; Helmut Kirchhoff; Marisa S Otegui; Abel Rosado; Yu Tang; Jürgen Kleine-Vehn; Pengwei Wang; Bethany Karlin Zolman
Journal:  Plant Cell       Date:  2022-01-20       Impact factor: 12.085

Review 7.  Potentials of single-cell genomics in deciphering cellular phenotypes.

Authors:  Abbas Shojaee; Michelle Saavedra; Shao-Shan Carol Huang
Journal:  Curr Opin Plant Biol       Date:  2021-06-08       Impact factor: 9.396

Review 8.  Single-cell analysis of cell identity in the Arabidopsis root apical meristem: insights and opportunities.

Authors:  Rachel Shahan; Trevor M Nolan; Philip N Benfey
Journal:  J Exp Bot       Date:  2021-10-13       Impact factor: 7.298

9.  Single-cell transcriptome atlas and chromatin accessibility landscape reveal differentiation trajectories in the rice root.

Authors:  Tian-Qi Zhang; Yu Chen; Ye Liu; Wen-Hui Lin; Jia-Wei Wang
Journal:  Nat Commun       Date:  2021-04-06       Impact factor: 14.919

Review 10.  A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis.

Authors:  Aleksandr Bobrovskikh; Alexey Doroshkov; Stefano Mazzoleni; Fabrizio Cartenì; Francesco Giannino; Ulyana Zubairova
Journal:  Front Genet       Date:  2021-05-21       Impact factor: 4.599

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