Evidence map›Paper›PMID 14551330›Full record

ArticlePlant physiology2003

SAGE analysis of transcriptome responses in Arabidopsis roots exposed to 2,4,6-trinitrotoluene.

Drew R Ekman, W Walter Lorenz, Alan E Przybyla, N Lee Wolfe, Jeffrey F D Dean

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
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  5. Glyoxalase Goes Green: The Expanding Roles of Glyoxalase in Plants.International journal of molecular sciences · 2017
    Review
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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 2 institutions in 1 country.

Drew R EkmanDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia 30602, USA.
W Walter Lorenz
Alan E Przybyla
N Lee Wolfe
Jeffrey F D Dean
Environmental Protection Agency · USUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serial analysis of gene expression was used to profile transcript levels in Arabidopsis roots and assess their responses to 2,4,6-trinitrotoluene (TNT) exposure. SAGE libraries representing control and TNT-exposed seedling root transcripts were constructed, and each was sequenced to a depth of roughly 32,000 tags. More than 19,000 unique tags were identified overall. The second most highly induced tag (27-fold increase) represented a glutathione S-transferase. Cytochrome P450 enzymes, as well as an ABC transporter and a probable nitroreductase, were highly induced by TNT exposure. Analyses also revealed an oxidative stress response upon TNT exposure. Although some increases were anticipated in light of current models for xenobiotic metabolism in plants, evidence for unsuspected conjugation pathways was also noted. Identifying transcriptome-level responses to TNT exposure will better define the metabolic pathways plants use to detoxify this xenobiotic compound, which should help improve phytoremediation strategies directed at TNT and other nitroaromatic compounds.

Indexed as

ArabidopsisATP-Binding Cassette TransportersCytochrome P-450 Enzyme SystemGene Expression ProfilingGene Expression Regulation, EnzymologicGene Expression Regulation, PlantGenome, PlantGlutathione TransferaseNitroreductasesPlant RootsTrinitrotolueneATP-Binding Cassette TransportersCytochrome P-450 Enzyme SystemGlutathione TransferaseNitroreductasesTrinitrotoluene

Identifiers

PMID14551330
PMCPMC281634
OpenAlexW1965258494

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.