Suppr超能文献

植物单细胞基因组学的前景。

The promise of single-cell genomics in plants.

机构信息

Department of Genome Sciences, University of Washington, Seattle, WA, USA.

Department of Genome Sciences, University of Washington, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.

出版信息

Curr Opin Plant Biol. 2020 Apr;54:114-121. doi: 10.1016/j.pbi.2020.04.002. Epub 2020 May 5.

Abstract

Single-cell genomic approaches have the potential to revolutionize the study of plant systems. Here, we highlight newly developed techniques to analyze transcriptomes at single-cell resolution. We focus on the rigorous standards necessary to generate and compare these data sets introducing analysis methods that can be applied to interpret their results. Lastly, we discuss the inherent limitations of single-cell studies and address future directions for plant single-cell genomics.

摘要

单细胞基因组学方法有可能彻底改变植物系统的研究。在这里,我们重点介绍新开发的技术,以单细胞分辨率分析转录组。我们专注于生成和比较这些数据集所需的严格标准,介绍可用于解释其结果的分析方法。最后,我们讨论了单细胞研究的固有局限性,并为植物单细胞基因组学的未来发展方向提出了建议。

相似文献

1
The promise of single-cell genomics in plants.植物单细胞基因组学的前景。
Curr Opin Plant Biol. 2020 Apr;54:114-121. doi: 10.1016/j.pbi.2020.04.002. Epub 2020 May 5.
3
6
Single-cell genomics.单细胞基因组学。
Curr Opin Plant Biol. 2005 Jun;8(3):236-41. doi: 10.1016/j.pbi.2005.03.015.
7
Single-Cell Transcriptome Analysis in Plants: Advances and Challenges.植物单细胞转录组分析:进展与挑战。
Mol Plant. 2021 Jan 4;14(1):115-126. doi: 10.1016/j.molp.2020.10.012. Epub 2020 Nov 2.
9
10
Plant Cell Identity in the Era of Single-Cell Transcriptomics.单细胞转录组学时代的植物细胞身份
Annu Rev Genet. 2021 Nov 23;55:479-496. doi: 10.1146/annurev-genet-071719-020453. Epub 2021 Sep 16.

引用本文的文献

1
Dynamics of alternative polyadenylation in single root cells of .……单根细胞中可变多聚腺苷酸化的动态变化
Front Plant Sci. 2024 Sep 20;15:1437118. doi: 10.3389/fpls.2024.1437118. eCollection 2024.
8
Advancing root developmental research through single-cell technologies.通过单细胞技术推进根系发育研究。
Curr Opin Plant Biol. 2022 Feb;65:102113. doi: 10.1016/j.pbi.2021.102113. Epub 2021 Sep 22.

本文引用的文献

3
Visualizing structure and transitions in high-dimensional biological data.高维生物数据中的结构和转变可视化。
Nat Biotechnol. 2019 Dec;37(12):1482-1492. doi: 10.1038/s41587-019-0336-3. Epub 2019 Dec 3.
5
Supervised classification enables rapid annotation of cell atlases.监督分类可实现细胞图谱的快速标注。
Nat Methods. 2019 Oct;16(10):983-986. doi: 10.1038/s41592-019-0535-3. Epub 2019 Sep 9.
7
Comprehensive Integration of Single-Cell Data.单细胞数据的综合整合。
Cell. 2019 Jun 13;177(7):1888-1902.e21. doi: 10.1016/j.cell.2019.05.031. Epub 2019 Jun 6.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验