Evidence map›Paper›PMID 24069201›Full record

ArticlePloS one2013

De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.

Pengjuan Zhang, Chenghua Li, Lin Zhu, Xiurong Su, Ye Li, Chunhua Jin, Taiwu Li

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pengjuan ZhangSchool of Marine Sciences, Ningbo University, Ningbo, Zhejiang Province, P. R. China.
Chenghua Li
Lin Zhu
Xiurong Su
Ye Li
Chunhua Jin
Taiwu Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDe novo transcriptome sequencing is a robust method of predicting miRNA target genes, especially samples without reference genomes. Differentially expressed miRNAs have been previously identified in hemocytes collected from healthy skin and from skin affected by skin ulceration syndrome (SUS) in Apostichopusjaponicus. Target identification for these differentially expressed miRNAs is a major challenge for this non-model organism. METHODOLOGY/PRINCIPAL

findingsTo thoroughly understand the function of miRNAs, a normalized cDNA library was sequenced with the Illumina Hiseq2000 technology. A total of 91,098,474 clean reads corresponding to 251,148 unigenes, each with an average length of 494bp, were obtained. Blastx analysis against a nonredundant (nr) NCBI protein database revealed that in this set, 52,680 unigenes coded for 3,893 annotated proteins. Two digital gene expression (DGE) libraries from healthy and SUS samples showed that 4,858 of the unigenes were expressed at significantly different levels; 2,163 were significantly up-regulated, while 2,695 were significantly down-regulated. The computational prediction of miRNA targets from these differentially expressed genes identified 732 unigenes as the targets of 57 conserved and 8 putative novel miRNA families, including spu-miRNA-31 and spu-miRNA-2008.

conclusionThis study demonstrates the feasibility of identifying miRNA targets by transcriptome analysis. The DGE assembly data represent a substantial increase in the genomic resources available for this species and will provide insights into the gene expression profile analysis and the miRNAs function annotations of further studies.

Indexed as

AnimalsHigh-Throughput Nucleotide SequencingMicroRNAsSea CucumbersSkin DiseasesTranscriptomeMicroRNAs

Identifiers

PMID24069201
PMCPMC3772007

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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.