Evidence map›Paper›PMID 12102506›Full record

ArticleAnnals of botany2002

Classification of genes differentially expressed during water-deficit stress in Arabidopsis thaliana: an analysis using microarray and differential expression data.

Elizabeth A Bray

Open access · bronzeAbstract read
In one paragraph

Article in Annals of botany, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
15.2field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 246 citations in OpenAlex.

  1. Article
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  4. Unveiling synergistic QTLs associated with slow wilting in soybean (Glycine max [L.] Merr.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  20. Drought tolerance in wheat.TheScientificWorldJournal · 2013
    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

1 author at 1 institution in 1 country.

Elizabeth A BrayDepartment of Botany and Plant Sciences, and The Center for Plant Cell Biology, University of California, Riverside 92521, USA. elizabeth.bary@ucr.edu
University of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many changes in gene expression occur in response to water-deficit stress. A challenge is to determine which changes support plant adaptation to conditions of reduced soil water content and which occur in response to lesions in metabolic and cellular functions. Microarray methods are being employed to catalogue all of the changes in gene expression that occur in response to specific water-deficit conditions. Although these methods do not measure the amount or activities of specific proteins that function in the water-deficit response, they do target specific biochemical and cellular events that should be detailed in further work. Potential functions of approx. 130 genes of Arabidopsis thaliana that have been shown to be up-regulated are tabulated here. These point to signalling events, detoxification and other functions involved in the cellular response to water-deficit stress. As microarray techniques are refined, plant stress biologists will be able to characterize changes in gene expression within the whole genome in specific organs and tissues subjected to different levels of water-deficit stress.

Indexed as

Adaptation, PhysiologicalAlgorithmsArabidopsisBiological TransportCell CommunicationDown-RegulationGene Expression Regulation, PlantGenes, PlantOligonucleotide Array Sequence AnalysisOsmotic PressureSignal TransductionStress, MechanicalTranscription, GeneticUp-RegulationWaterWater

Identifiers

PMID12102506
PMCPMC4233808
OpenAlexW2114540137

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.