Evidence map›Paper›PMID 30103673›Full record

ArticleBMC genomics2018

Identification and characterization of ncRNA-associated ceRNA networks in Arabidopsis leaf development.

Xianwen Meng, Peijing Zhang, Qi Chen, Jingjing Wang, Ming Chen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
8.1field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 76 citations in OpenAlex.

  1. Identification of circRNAs in industrial hemp (Frontiers in plant science · 2026
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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

5 authors at 2 institutions in 1 country.

Xianwen MengDepartment of Bioinformatics, the State Key Laboratory of Plant Physiology and Biochemistry, Institute of Plant Science, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Peijing ZhangDepartment of Bioinformatics, the State Key Laboratory of Plant Physiology and Biochemistry, Institute of Plant Science, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Qi ChenDepartment of Bioinformatics, the State Key Laboratory of Plant Physiology and Biochemistry, Institute of Plant Science, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Jingjing WangDepartment of Bioinformatics, the State Key Laboratory of Plant Physiology and Biochemistry, Institute of Plant Science, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
Ming ChenDepartment of Bioinformatics, the State Key Laboratory of Plant Physiology and Biochemistry, Institute of Plant Science, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China. mchen@zju.edu.cn.ORCID http://orcid.org/0000-0002-9677-1699
Zhejiang University · CNShandong Agricultural University · CN

Funding

National Key Research and Development Program of China 2016YFA0501704National Natural Science Foundation of China 31771477, 31571366 and 31450110068
6 · The paper itself

Abstract

backgroundLeaf development is a complex biological process that is accompanied by wide transcriptional changes. Many protein-coding genes have been characterized in plant leaves, but little attention has been given to noncoding RNAs (ncRNAs). Moreover, increasing evidence indicates that an intricate interplay among RNA species, including protein-coding RNAs and ncRNAs, exists in eukaryotic transcriptomes, however, it remains elusive in plant leaves.

resultsWe detected novel ncRNAs, such as circular RNAs (circRNAs) and long noncoding RNAs (lncRNAs), and further constructed and analyzed their associated competitive endogenous RNA (ceRNA) networks in Arabidopsis leaves. Transcriptome profiling showed extensive changes during leaf development. In addition, comprehensive detection of circRNAs in other plant leaves suggested that circRNAs are widespread in plant leaves. To investigate the complex post-transcriptional interactions in Arabidopsis leaves, we constructed a global circRNA/lncRNA-associated ceRNA network. Functional analysis revealed that ceRNAs were highly correlated with leaf development. These ceRNAs could be divided into six clusters, which were enriched for different functional classes. Stage-specific ceRNA networks were further constructed and comparative analysis revealed different roles of stage common and specific hub ceRNAs.

conclusionsOur results demonstrate that understanding the ceRNA interactions will lead insights into gene regulations implicated in leaf development.

Indexed as

Gene Regulatory NetworksArabidopsisGene Expression ProfilingGene Expression Regulation, PlantPlant LeavesRNARNA, CircularRNA, UntranslatedTranscriptomeRNARNA, CircularRNA, UntranslatedceRNAcircRNAsLeaf developmentlncRNAsNoncoding RNAs

Identifiers

PMID30103673
PMCPMC6090674
OpenAlexW2886708098

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.