Evidence map›Paper›PMID 24596494›Full record

ArticleSaudi journal of biological sciences2014

Computational identification of miRNA and targets from expressed sequence tags of coffee (Coffea arabica).

Arzuba Akter, Md Muzahidul Islam, Shakhinur Islam Mondal, Zabed Mahmud, Nurnabi Azad Jewel, Sabiha Ferdous, Md Ruhul Amin, Md Mahfuzur Rahman

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.9field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 58 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

8 authors at 1 institution in 1 country.

Arzuba AkterBiochemistry and Molecular Biology Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Md Muzahidul IslamGenetic Engineering and Biotechnology Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Shakhinur Islam MondalGenetic Engineering and Biotechnology Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Zabed MahmudGenetic Engineering and Biotechnology Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Nurnabi Azad JewelGenetic Engineering and Biotechnology Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Sabiha FerdousGenetic Engineering and Biotechnology Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Md Ruhul AminComputer Science and Engineering Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Md Mahfuzur RahmanFood Engineering and Tea Technology Department, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Shahjalal University of Science and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are the group of ∼22 nucleotides long noncoding small endogenous and evolutionary conserved post-transcriptional regulatory RNAs, which show an enormous role in various biological and metabolic processes in both animals and plants. To date not a single miRNA has been identified in coffee (Coffea arabica), which is an economically important plant of Rubiaceae family. In this study a well-developed, powerful and comparative computational approach, EST-based homology search is applied to find potential miRNA of coffee. We blasted publicly available EST sequences obtained from NCBI GenBank against previously known plant miRNAs. For the first time, one potential miRNA from a large miRNA family with appropriate fold back structures was identified through a series of filtration criteria. A total of six potential target genes in Arabidopsis were identified based on their sequence complementarities. The target genes mainly encode transport inhibitor like protein, transcription factor, DNA-binding protein, and GRR1-like protein, and these genes play an important role in various biological processes like response to chitin, cold, salt stress, water deprivation etc. Overall, findings from this study will accelerate the way for further researches of miRNAs and their functions in coffee.

Indexed as

Coffea arabicaComputational approachExpressed sequence tagsMicroRNA

Identifiers

PMID24596494
PMCPMC3937464
OpenAlexW1991638844

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.