Evidence map›Paper›PMID 26697356›Full record

ArticleGenomics data2015

An approach to identify the novel miRNA encoded from H. Annuus EST sequences.

Hemant Gupta, Tanushree Tiwari, Maulik Patel, Aditya Mehta, Arpita Ghosh

Open access · goldAbstract read
In one paragraph

Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  4. Article
  5. Transcriptome-wide miRNA identification ofPlant signaling & behavior · 2020
    Article
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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

5 authors at 1 institution in 1 country.

Hemant GuptaXcelris Labs Ltd., Ahmedabad, Gujarat, India.
Tanushree TiwariXcelris Labs Ltd., Ahmedabad, Gujarat, India.
Maulik PatelXcelris Labs Ltd., Ahmedabad, Gujarat, India.
Aditya MehtaXcelris Labs Ltd., Ahmedabad, Gujarat, India.
Arpita GhoshXcelris Labs Ltd., Ahmedabad, Gujarat, India.
Xcellon School of Business · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are a newly discovered class of non-protein small RNAs with 22-24 nucleotides. They play multiple roles in biological processes including development, cell proliferation, apoptosis, stress responses and many other cell functions. In this research, several approaches were combined to make a computational prediction of potential miRNAs and their targets in Helianthus annuus (H. annuus). The already available information of the plant miRNAs present in miRBase v21 was used against expressed sequence tags (ESTs). A total of three miRNAs were detected from which one potential novel miRNA was identified following a range of strict filtering criteria. The target prediction was carried out for these three miRNAs having various targets. These targets were functionally annotated and GO terms were assigned. To study the conserved nature of the miRNAs, predicted phylogenetic analysis was carried out. These findings will significantly provide the broader picture for understanding the functions in H. annuus.

Indexed as

Circos plotExpressed sequence tagsGene ontologyHelianthus annuusMicroRNAmiRBaseNovel miRNAsPhylogenetic analysisTarget predictionViridiplantae

Identifiers

PMID26697356
PMCPMC4664742
OpenAlexW1645908319

What OpenQuestion holds

Textmetadata
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.