Evidence map›Paper›PMID 28203233›Full record

ArticleFrontiers in microbiology2017

Exo-miRExplorer: A Comprehensive Resource for Exploring and Comparatively Analyzing Exogenous MicroRNAs.

Ling-Ling Zheng, Kai-Wen Deng, An-Cheng Deng, Jie Wu, Jian-Hua Yang, Zhao-Rong Lun, Liang-Hu Qu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 1 country.

Ling-Ling ZhengKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, RNA Information Center, School of Life Sciences, Sun Yat-sen University Guangzhou, China.
Kai-Wen DengKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, RNA Information Center, School of Life Sciences, Sun Yat-sen University Guangzhou, China.
An-Cheng DengKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, RNA Information Center, School of Life Sciences, Sun Yat-sen University Guangzhou, China.
Jie WuKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, RNA Information Center, School of Life Sciences, Sun Yat-sen University Guangzhou, China.
Jian-Hua YangKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, RNA Information Center, School of Life Sciences, Sun Yat-sen University Guangzhou, China.
Zhao-Rong LunKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, RNA Information Center, School of Life Sciences, Sun Yat-sen University Guangzhou, China.
Liang-Hu QuKey Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, RNA Information Center, School of Life Sciences, Sun Yat-sen University Guangzhou, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small regulatory RNAs that play important roles in animals, plants, and viruses. Deep-sequencing technology has been widely adopted in miRNA investigations. However, it is still a big mysterious why nearly all sequencing data contain miRNA sequences from exogenous species, called exo-miRNAs. In this study, we developed a novel platform, exo-miRExplorer, for mining and identifying exo-miRNAs from high-throughput small RNA sequencing experiments which originated from tissues and cell lines of multiple organisms. Thousands of exo-miRNAs are characterized with their expression abundance, the RNA families, original organisms and the sequencing platforms presented in exo-miRExplorer. Subsequently, we used exo-miRExplorer to perform further analysis. Comparative analysis of the exo-miRNAs between different sequencing datasets revealed significant correlation of exo-miRNAs between experiments in the same study. The plant-derived exo-miRNAs analysis provided robust evidence for non-diet source of exo-miRNAs. Virus-derived exo-miRNA analysis showed that pathogen RNAs could transfer to host cells and exist in deep-sequencing result at abundance level. In conclusion, exo-miRExplorer provides users with an integrative resource to facilitate detection and analysis of exo-miRNAs. exo-miRExplorer is available at the following URL: http://rna.sysu.edu.cn/exomiRDB/.

Indexed as

contaminationdeep-sequencingexogenousmicroRNAorganisms

Identifiers

PMID28203233
PMCPMC5285362
OpenAlexW2584651428

What OpenQuestion holds

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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.