Evidence map›Paper›PMID 31231773›Full record

ArticleDatabase : the journal of biological databases and curation2019

MepmiRDB: a medicinal plant microRNA database.

Dongliang Yu, Jiangjie Lu, Weishan Shao, Xiaoxia Ma, Tian Xie, Hidetaka Ito, Tingzhang Wang, Min Xu, Huizhong Wang, Yijun Meng

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. MicroRNAs in Medicinal Plants.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dongliang YuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.
Jiangjie LuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.
Weishan ShaoCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.
Xiaoxia MaCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.
Tian XieDepartment of Pharmacology, Holistic Integrative Pharmacy Institutes, College of Medicine, Hangzhou Normal University, Hangzhou, 311121, China.
Hidetaka ItoFaculty of Science, Hokkaido University, Sapporo, 060-0810, Japan.
Tingzhang WangKey Laboratory of Microbiological Technology and Bioinformatics Research in Zhejiang Province, Hangzhou, 310012, China.
Min XuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.
Huizhong WangCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.
Yijun MengCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, 310036, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) have been recognized as a key regulator in plant development and metabolism. Recent reports showed that the miRNAs of medicinal plants not only act as a critical modulator in secondary metabolism but also had a great potential of performing cross-kingdom gene regulation. Although several plant miRNA repositories have been publicly available, no miRNA database specific for medicinal plants has been reported to date. Here, we report the first version of MepmiRDB (medicinal plant microRNA database), which is freely accessible at http://mepmirdb.cn/mepmirdb/index.html. This database accommodates thousands of miRNA candidates belonging to 29 medicinal plant species. The miRNA information on sequences, expression patterns and regulatory networks has been included in the functional modules of the database. Specifically, the 'Sequence' module provides the sequences of the mature miRNAs and their precursors, and the structure information of the precursors. Moreover, the processing and small RNA accumulation signals on the miRNA precursors are also included in the 'Sequence' module. The organ/growth condition-specific expression information of the mature miRNAs has been stored in the 'Expression' module. The 'Interaction' module offers the information of the degradome-validated miRNA-target pairs of eight plant species. The 'Search' module enables users to search for the miRNAs by plant species and miRNA families, or by sequences. All data in this database are available for download. Taken together, the functional modules of MepmiRDB ensure its importance and timeliness for mechanistic and functional studies on the medicinal plant miRNAs.

Indexed as

Databases, Nucleic AcidGene Expression Regulation, PlantMicroRNAsPlants, MedicinalRNA, PlantMicroRNAsRNA, Plant

Identifiers

PMID31231773
PMCPMC6589547

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.