Present Scenario of Long Non-Coding RNAs in Plants.
Present Scenario of Long Non-Coding RNAs in Plants.
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DOI：
10.3390/ncrna3020016
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发表时间：
2017-03-24
期刊：
影响因子：
4.3
通讯作者：
Singh K
中科院分区：
文献类型：
--
作者：
Bhatia G;Goyal N;Sharma S;Upadhyay SK;Singh K
在过去的十年中，植物中的小非编码RNA已经被广泛研究。相比之下，植物长非编码RNA（lncRNA）的全基因组鉴定最近获得了动力。LncRNA是基因调控的重要参与者，其在真核生物中的重要调控作用正在被广泛研究。1992年首次在人类中报道了LncRNA。从那时起，动物研究，特别是人类研究，取得了迅速的进展，大量的数据已经产生，收集和组织使用计算方法。此外，还进行了许多研究来了解这些长RNA物质在多种疾病中的作用。然而，lncRNA在植物中的研究状况落后于动物（特别是人类）。正在努力在这个方向上使用计算工具和高通量测序技术，如lncRNA微阵列技术，RNA测序（RNA-seq），RNA捕获测序，（RNA CaptureSeq）等，鉴于目前的情况下，大量的数据已经产生了关于植物lncRNA，这一数量可能会增加在随后的几年。本文综述了lncRNA在植物中的研究现状，并沿着介绍了植物特异性lncRNA的信息检索资源和数据库。
Small non-coding RNAs have been extensively studied in plants over the last decade. In contrast, genome-wide identification of plant long non-coding RNAs (lncRNAs) has recently gained momentum. LncRNAs are now being recognized as important players in gene regulation, and their potent regulatory roles are being studied comprehensively in eukaryotes. LncRNAs were first reported in humans in 1992. Since then, research in animals, particularly in humans, has rapidly progressed, and a vast amount of data has been generated, collected, and organized using computational approaches. Additionally, numerous studies have been conducted to understand the roles of these long RNA species in several diseases. However, the status of lncRNA investigation in plants lags behind that in animals (especially humans). Efforts are being made in this direction using computational tools and high-throughput sequencing technologies, such as the lncRNA microarray technique, RNA-sequencing (RNA-seq), RNA capture sequencing, (RNA CaptureSeq), etc. Given the current scenario, significant amounts of data have been produced regarding plant lncRNAs, and this amount is likely to increase in the subsequent years. In this review we have documented brief information about lncRNAs and their status of research in plants, along with the plant-specific resources/databases for information retrieval on lncRNAs.
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DOI：
10.1093/bioinformatics/btt495
发表时间：
2013-11-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
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作者：
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影响因子：
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影响因子：
7
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影响因子：
5.8
作者：
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DOI：
10.1093/database/bat034
发表时间：
2013
期刊：
Database : the journal of biological databases and curation
影响因子：
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作者：
Bhartiya D;Pal K;Ghosh S;Kapoor S;Jalali S;Panwar B;Jain S;Sati S;Sengupta S;Sachidanandan C;Raghava GP;Sivasubbu S;Scaria V
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Scaria V