Evidence map›Paper›PMID 36834556›Full record

ReviewInternational journal of molecular sciences2023

Tweaking the Small Non-Coding RNAs to Improve Desirable Traits in Plant.

Koushik Halder, Abira Chaudhuri, Malik Z Abdin, Asis Datta

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. 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
–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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Small interfering RNA: From designing to therapeutic in cancer.Journal, genetic engineering & biotechnology · 2025
    Review
  5. Review
  6. Review
  7. MicroRNA: A Dynamic Player from Signalling to Abiotic Tolerance in Plants.International journal of molecular sciences · 2023
    Review
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

4 authors.

Koushik HalderNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India.ORCID 0000-0002-6704-1750
Abira ChaudhuriNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India.ORCID 0000-0001-7211-3694
Malik Z AbdinCentre for Transgenic Plant Development, Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110062, India.
Asis DattaNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant transcriptome contains an enormous amount of non-coding RNAs (ncRNAs) that do not code for proteins but take part in regulating gene expression. Since their discovery in the early 1990s, much research has been conducted to elucidate their function in the gene regulatory network and their involvement in plants' response to biotic/abiotic stresses. Typically, 20-30 nucleotide-long small ncRNAs are a potential target for plant molecular breeders because of their agricultural importance. This review summarizes the current understanding of three major classes of small ncRNAs: short-interfering RNAs (siRNAs), microRNA (miRNA), and transacting siRNAs (tasiRNAs). Furthermore, their biogenesis, mode of action, and how they have been utilized to improve crop productivity and disease resistance are discussed here.

Indexed as

MicroRNAsRNA, Long NoncodingRNA, Small UntranslatedGene Expression Regulation, PlantPlantsRNA, PlantRNA, Small InterferingMicroRNAsRNA, Long NoncodingRNA, PlantRNA, Small InterferingRNA, Small Untranslatedabiotic stressmiRNAsiRNAsmall non-coding RNAstasiRNA

Identifiers

PMID36834556
PMCPMC9966754

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.