Evidence map›Paper›PMID 30872797›Full record

ArticleScientific reports2019

Identifying High Confidence microRNAs in the Developing Seeds of Jatropha curcas.

Mingfeng Yang, Heshu Lu, Feiyan Xue, Lanqing Ma

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Mingfeng YangKey Laboratory of Urban Agriculture (North China) Ministry of Agriculture, Beijing University of Agriculture, Beijing, 102206, China.
Heshu LuKey Laboratory of Urban Agriculture (North China) Ministry of Agriculture, Beijing University of Agriculture, Beijing, 102206, China.
Feiyan XueKey Laboratory of Urban Agriculture (North China) Ministry of Agriculture, Beijing University of Agriculture, Beijing, 102206, China.
Lanqing MaKey Laboratory of Urban Agriculture (North China) Ministry of Agriculture, Beijing University of Agriculture, Beijing, 102206, China. lqma@bua.edu.cn.
Beijing University of Agriculture · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are endogenously short noncoding regulatory RNAs implicated in plant development and physiology. Nine small RNA (sRNA) libraries from three typical seed developmental stages (young, intermediate, and mature) were generated by deep sequencing to identify the miRNAs of J. curcas, a potential oilseed crop for the production of renewable oil. Strict criteria were adopted to identify 93 high confidence miRNAs including 48 conserved miRNAs and 45 novel miRNAs. Target genes of these miRNAs were involved in a broad range of physiological functions, including gene expression regulation, primary & secondary metabolism, growth & development, signal transduction, and stress response. About one third (29 out of 93) miRNAs showed significant changes in expression levels during the seed developmental process, indicating that the miRNAs might regulate its targets by their changes of transcription levels in seed development. However, most miRNAs were found differentially expressed in the late stage of seed development, suggesting that miRNAs play more important roles in the stage when seed accumulating organic matters and suffering dehydration stress. This study presents the first large scale identification of high confidence miRNAs in the developing seeds of J. curcas.

Indexed as

Gene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGene LibraryGene Regulatory NetworksHigh-Throughput Nucleotide SequencingJatrophaMicroRNAsRNA, PlantSeedsSequence Analysis, RNAMicroRNAsRNA, Plant

Identifiers

PMID30872797
PMCPMC6418140
OpenAlexW2921652866

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.