Evidence map›Paper›PMID 36570328›Full record

ArticleBioinformatics and biology insights2022

Sequence, Secondary Structure, and Phylogenetic Conservation of MicroRNAs in

Muhammad Waqar Mazhar, Nik Yusnoraini Yusof, Tayyaba Shaheen, Saira Saif, Ahmad Raza, Fatima Mazhar

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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. Article
  2. Review
  3. Article
  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.

Muhammad Waqar MazharDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.
Nik Yusnoraini YusofInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Kubang Kerian, Malaysia.
Tayyaba ShaheenDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.
Saira SaifDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.
Ahmad RazaDepartment of Biological Sciences, Nuclear Institute for Agriculture & Biology, Faisalabad, Pakistan.
Fatima MazharDepartment of Microbiology, Muhammad Nawaz Sharif University of Agriculture, Multan, Multan, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs are small non-coding RNA molecules that are produced in a cell endogenously. They are made up of 18 to 26 nucleotides in strength. Due to their evolutionary conserved nature, most of the miRNAs provide a logical basis for the prediction of novel miRNAs and their clusters in plants such as sunflowers related to the Asteraceae family. In addition, they participate in different biological processes of plants, including cell signaling and metabolism, development, growth, and tolerance to (biotic and abiotic) stresses. In this study profiling, conservation and characterization of novel miRNA possessing conserved nature in various plants and their targets annotation in sunflower (Asteraceae) were obtained by using various computational tools and software. As a result, we looked at 152 microRNAs in

Indexed as

Arabidopsis thalianamiRNAsOryza sativaphylogenetic analysisSolanum lycopersicum

Identifiers

PMID36570328
PMCPMC9768830

What OpenQuestion holds

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Registered trials

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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.