Title | Plant Intron-Splicing Efficiency Database (PISE): exploring splicing of ∼1,650,000 introns in Arabidopsis, maize, rice, and soybean from ∼57,000 public RNA-seq libraries |
Author | |
Corresponding Author | Zhai,Jixian |
Publication Years | 2022-11-18
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DOI | |
Source Title | |
ISSN | 1674-7305
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EISSN | 1869-1889
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Abstract | Intron retention is the most common alternative splicing event in plants and plays a crucial role in the responses of plants to environmental signals. Despite a large number of RNA-seq libraries from different treatments and genetic mutants stored in public domains, a resource for querying the intron-splicing ratio of individual intron is still required. Here, we established the first-ever large-scale splicing efficiency database in any organism. Our database includes over 57,000 plant public RNA-seq libraries, comprising 25,283 from Arabidopsis, 17,789 from maize, 10,710 from rice, and 3,974 from soybean, and covers a total of 1.6 million introns in these four species. In addition, we manually curated and annotated all the mutant- and treatment-related libraries as well as their matched controls included in our library collection, and added graphics to display intron-splicing efficiency across various tissues, developmental stages, and stress-related conditions. The result is a large collection of 3,313 treatment conditions and 3,594 genetic mutants for discovering differentially regulated splicing efficiency. Our online database can be accessed at https://plantintron.com/. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
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SUSTech Authorship | First
; Corresponding
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Funding Project | National Key R&D Program of China[2019YFA0903903]
; Program for Guangdong Introducing Innovative and Entrepreneurial Teams[2016ZT06S172]
; Shenzhen Sci-Tech Fund[KYTDPT20181011104005]
; Key Laboratory of Molecular Design for Plant Cell Factory of Guangdong Higher Education Institutes[2019KSYS006]
; Stable Support Plan Program of Shenzhen Natural Science Fund[20200925153345004]
; National Natural Science Foundation of China[32100444]
; Shenzhen Fundamental Research Program[JCYJ20210324105202007]
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WOS Research Area | Life Sciences & Biomedicine - Other Topics
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WOS Subject | Biology
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WOS Accession No | WOS:000886195500001
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Publisher | |
Data Source | Web of Science
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Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/412584 |
Department | Department of Biology 生命科学学院 南方科技大学-北京大学植物与食品联合研究所 |
Affiliation | 1.Department of Biology,School of Life Sciences,Southern University of Science and Technology,Shenzhen,518055,China 2.Institute of Plant and Food Science,Southern University of Science and Technology,Shenzhen,518055,China 3.Key Laboratory of Molecular Design for Plant Cell Factory of Guangdong Higher Education Institutes,Institute of Plant and Food Science,Department of Biology,Southern University of Science and Technology,Shenzhen,518055,China |
First Author Affilication | Department of Biology; School of Life Sciences; SUSTech-Peking University National Institute of Plants and Food |
Corresponding Author Affilication | Department of Biology; School of Life Sciences; SUSTech-Peking University National Institute of Plants and Food |
First Author's First Affilication | Department of Biology; School of Life Sciences |
Recommended Citation GB/T 7714 |
Zhang,Hong,Jia,Jinbu,Zhai,Jixian. Plant Intron-Splicing Efficiency Database (PISE): exploring splicing of ∼1,650,000 introns in Arabidopsis, maize, rice, and soybean from ∼57,000 public RNA-seq libraries[J]. Science China-Life Sciences,2022.
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APA |
Zhang,Hong,Jia,Jinbu,&Zhai,Jixian.(2022).Plant Intron-Splicing Efficiency Database (PISE): exploring splicing of ∼1,650,000 introns in Arabidopsis, maize, rice, and soybean from ∼57,000 public RNA-seq libraries.Science China-Life Sciences.
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MLA |
Zhang,Hong,et al."Plant Intron-Splicing Efficiency Database (PISE): exploring splicing of ∼1,650,000 introns in Arabidopsis, maize, rice, and soybean from ∼57,000 public RNA-seq libraries".Science China-Life Sciences (2022).
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