Evidence map›Paper›PMID 29961817›Full record

ArticleDatabase : the journal of biological databases and curation2018

LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs.

Cong Pian, Guangle Zhang, Tengfei Tu, Xiangyu Ma, Fei Li

Erratum issuedAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Whole genome circRNA profiling ofDrug metabolism and personalized therapy · 2026
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  15. Long noncoding RNAs: new insights in modulating mammalian spermatogenesis.Journal of animal science and biotechnology · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Cong PianMinistry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, China.
Guangle ZhangDepartment of Mathematics, College of Science, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Tengfei TuNetwork Security Research Group, Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Xiangyu MaSchool of Life Science, Anhui Agriculture University, Hefei, China.
Fei LiMinistry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are endogenous molecules longer than 200 nucleotides, and lack coding potential. LncRNAs that interact with microRNAs (miRNAs) are known as a competing endogenous RNAs (ceRNAs) and have the ability to regulate the expression of target genes. The ceRNAs play an important role in the initiation and progression of various cancers. However, until now, there is no a database including a collection of experimentally verified, human ceRNAs. We developed the LncCeRBase database, which encompasses 432 lncRNA-miRNA-mRNA interactions, including 130 lncRNAs, 214 miRNAs and 245 genes from 300 publications. In addition, we compiled the signaling pathways associated with the included lncRNA-miRNA-mRNA interactions as a tool to explore their functions. LncCeRBase is useful for understanding the regulatory mechanisms of lncRNA.Database URL: http://lnccerbase.it1004.com.

Indexed as

Databases, GeneticHumansInternetReproducibility of ResultsRNA, Long NoncodingUser-Computer InterfaceRNA, Long Noncoding

Identifiers

PMID29961817
PMCPMC6014130

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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.