Evidence map›Paper›PMID 28597341›Full record

ArticleNeuroscience bulletin2017

In Silico Prediction and Validation of Gfap as an miR-3099 Target in Mouse Brain.

Shahidee Zainal Abidin, Jia-Wen Leong, Marzieh Mahmoudi, Norshariza Nordin, Syahril Abdullah, Pike-See Cheah, King-Hwa Ling

Open access · greenAbstract read
In one paragraph

Article in Neuroscience bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 9 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

7 authors at 2 institutions in 1 country.

Shahidee Zainal AbidinNeuroBiology and Genetics Group, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Jia-Wen LeongNeuroBiology and Genetics Group, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Marzieh MahmoudiNeuroBiology and Genetics Group, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Norshariza NordinGenetics and Regenerative Medicine Research Center, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Syahril AbdullahGenetics and Regenerative Medicine Research Center, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Pike-See CheahNeuroBiology and Genetics Group, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
King-Hwa LingNeuroBiology and Genetics Group, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia. lkh@upm.edu.my.
Universiti Putra Malaysia · MYUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are small non-coding RNAs that play crucial roles in the regulation of gene expression and protein synthesis during brain development. MiR-3099 is highly expressed throughout embryogenesis, especially in the developing central nervous system. Moreover, miR-3099 is also expressed at a higher level in differentiating neurons in vitro, suggesting that it is a potential regulator during neuronal cell development. This study aimed to predict the target genes of miR-3099 via in-silico analysis using four independent prediction algorithms (miRDB, miRanda, TargetScan, and DIANA-micro-T-CDS) with emphasis on target genes related to brain development and function. Based on the analysis, a total of 3,174 miR-3099 target genes were predicted. Those predicted by at least three algorithms (324 genes) were subjected to DAVID bioinformatics analysis to understand their overall functional themes and representation. The analysis revealed that nearly 70% of the target genes were expressed in the nervous system and a significant proportion were associated with transcriptional regulation and protein ubiquitination mechanisms. Comparison of in situ hybridization (ISH) expression patterns of miR-3099 in both published and in-house-generated ISH sections with the ISH sections of target genes from the Allen Brain Atlas identified 7 target genes (Dnmt3a, Gabpa, Gfap, Itga4, Lxn, Smad7, and Tbx18) having expression patterns complementary to miR-3099 in the developing and adult mouse brain samples. Of these, we validated Gfap as a direct downstream target of miR-3099 using the luciferase reporter gene system. In conclusion, we report the successful prediction and validation of Gfap as an miR-3099 target gene using a combination of bioinformatics resources with enrichment of annotations based on functional ontologies and a spatio-temporal expression dataset.

Indexed as

Computer SimulationAlgorithmsAnalysis of VarianceAnimalsAnimals, NewbornBrainComputational BiologyEmbryo, MammalianGene Expression RegulationGlial Fibrillary Acidic ProteinHEK293 CellsHumansMiceMicroRNAsPredictive Value of TestsTransfectionGlial Fibrillary Acidic ProteinMicroRNAsAstrogliogenesisBioinformaticsIn silicoNeurogenesisTarget gene

Identifiers

PMID28597341
PMCPMC5567562
OpenAlexW2622644626

What OpenQuestion holds

Textmetadata
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.