文献类型： 外文期刊
作者： Guo, Zhonglong 1 ; Kuang, Zheng 1 ; Wang, Ying 1 ; Zhao, Yongxin 1 ; Tao, Yihan 2 ; Cheng, Chen 1 ; Yang, Jing 1 ; Lu, Xi 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Agrobiotechnol Res Ctr, Beijing 100097, Peoples R China
2.Peking Univ, Sch Life Sci, Peking Tsinghua Ctr Life Sci, State Key Lab Prot & Plant Gene Res, Beijing 100871, Peoples R China
3.Peking Univ, Sch Adv Agr Sci, Beijing 100871, Peoples R China
4.Shaanxi Normal Univ, Minist Educ Med Resources & Nat Pharmaceut Chem, Natl Engn Lab Resource Dev Endangered Crude Drugs, Xian 710062, Peoples R China
期刊名称：NUCLEIC ACIDS RESEARCH （ 影响因子：16.971； 五年影响因子：15.542 ）
ISSN： 0305-1048
年卷期： 2020 年 48 卷 D1 期
页码：
收录情况： SCI
摘要： MicroRNAs (miRNAs) are small non-coding RNA molecules that function as diverse endogenous gene regulators at the post-transcriptional level. In the past two decades, as research effort on miRNA identification, function and evolution has soared, so has the demand for miRNA databases. However, the current plant miRNA databases suffer from several typical drawbacks, including a lack of entries for many important species, uneven annotation standards across different species, abundant questionable entries, and limited annotation. To address these issues, we developed a knowledge-based database called Plant miRNA Encyclopedia (PmiREN, http: //www.pmiren.com/), which was based on uniform processing of sequenced small RNA libraries using miRDeep-P2, followed by manual curation using newly updated plant miRNA identification criteria, and comprehensive annotation. PmiREN currently contains 16,422 high confidence novel miRNA loci in 88 plant species and 3,966 retrieved from miRBase. For every miRNA entry, information on precursor sequence, precursor secondary structure, expression pattern, clusters and synteny in the genome, potential targets supported by Parallel Analysis of RNA Ends (PARE) sequencing, and references is attached whenever possible. PmiREN is hierarchically accessible and has eight built-in search engines. We believe PmiREN is useful for plant miRNA cataloguing and data mining, therefore a resource for data-driven miRNA research in plants.
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