Evidence map›Paper›PMID 25972985›Full record

ArticleSystems and synthetic biology2015

Computational identification of novel microRNAs and their targets in the malarial vector, Anopheles stephensi.

Remya Krishnan, Vinod Kumar, Vivek Ananth, Shailja Singh, Achuthsankar S Nair, Pawan K Dhar

Open access · bronzeAbstract read
In one paragraph

Article in Systems and synthetic biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. microRNA profiles and functions in mosquitoes.PLoS neglected tropical diseases · 2018
    Pooled it
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  4. Article
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

6 authors at 2 institutions in 2 countries.

Remya KrishnanDepartment of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India.
Vinod KumarDepartment of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India.
Vivek AnanthSynthetic Biology Group, Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, U.P. India.
Shailja SinghSynthetic Biology Group, Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, U.P. India ; Department of Parasitology and Mycology, Institut Pasteur, Paris, France.
Achuthsankar S NairDepartment of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India.
Pawan K DharDepartment of Computational Biology and Bioinformatics, University of Kerala, Trivandrum, Kerala India ; Synthetic Biology Group, Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, U.P. India.
University of Kerala · INShiv Nadar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are a ~22 nucleotide small non-coding RNAs found in animals, plants and viruses. They regulate key cellular processes by enhancing, degrading or silencing protein coding targets. Currently most of the data on miRNA is available from Drosophila . Given their important post-transcriptional role in several organisms, there is a need to understand the miRNA mediated processes in normal and abnormal conditions. Here we report four novel microRNAs ast - mir - 2502, ast - mir - 2559, ast - mir - 3868 and ast - mir - 9891 in Anopheles stephensi identified from a set of 3,052 transcriptome sequences, showing average minimum free energy of -31.8 kcal/mol of duplex formation with mRNA indicating their functional relevance. Phylogenetic study shows conservation of sequence signatures within the Class Insecta. Furthermore, 26 potential targets of these four miRNAs have been predicted that play an important role in the mosquito life-cycle. This work leads to novel leads and experimental possibilities for improved understanding of gene regulatory processes in mosquito.

Indexed as

Anopheles stephensiBioinformaticsMicroRNAmiRNAPhylogenetics

Identifiers

PMID25972985
PMCPMC4427580
OpenAlexW2076911176

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.