Evidence map›Paper›PMID 32482924›Full record

SynthesisJournal of genetics2020

Identification of drought stress-responsive genes in rice (

Preeti Sirohi, Birendra S Yadav, Shadma Afzal, Ashutosh Mani, Nand K Singh

Abstract readMeta-Analysis
PubMed
In one paragraph

Synthesis in Journal of genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors at 1 institution in 1 country.

Preeti SirohiDepartment of Biotechnology, Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211 004, India. singhnand@gmail.com, nksingh@mnnit.ac.in.
Birendra S Yadav
Shadma Afzal
Ashutosh Mani
Nand K Singh
Motilal Nehru National Institute of Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meta-analysis provides a systematic access to the previously studied microarray datasets that can recognize several commonsignatures of stresses. Three different datasets of abiotic stresses on rice were used for meta-analysis. These microarray datasets were normalized to regulate data for technical variation, as opposed to biological differences between the samples. A t-test was performed to recognize the differentially-expressed genes (DEGs) between stressed and normal samples. Gene ontology enrichment analysis revealed the functional distribution of DEGs in different stressed conditions. Further analysis was carried out using software RICE NET DB and divided into three different categories: biological process (homoiothermy and protein amino acid phosphorylation), cellular component (nucleus and membrane), and molecular function (zinc ion binding ad DNA binding). The study revealed that 5686 genes were constantly expressed differentially in

Indexed as

Databases, GeneticDown-RegulationDroughtsGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGene Regulatory NetworksGenes, PlantMultigene FamilyOligonucleotide Array Sequence AnalysisOryzaStress, PhysiologicalUp-Regulation

Identifiers

PMID32482924
OpenAlexW3022284834

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.