Evidence map›Paper›PMID 37503205›Full record

ArticlebioRxiv : the preprint server for biology2023

Gene expression variation underlying tissue-specific responses to copper stress in

Elizabeth R Everman, Stuart J Macdonald

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Elizabeth R Everman1200 Sunnyside Ave, University of Kansas, Molecular Biosciences, Lawrence, KS 66045, USA.
Stuart J Macdonald1200 Sunnyside Ave, University of Kansas, Molecular Biosciences, Lawrence, KS 66045, USA.
University of Kansas · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
Synthetic Chemical Biology CoreP30GM145499 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI Susan M Lunte · 2022 to 2026
$6.9M
A Resource for the Genetic Dissection of Complex TraitsR01OD034064 · OD · UNIVERSITY OF KANSAS LAWRENCE · PI ANTHONY Douglas LONG, Stuart John Macdonald · 2023 to 2026
$2.4M
Toxicogenomics of metal response in genetically-variable DrosophilapopulationsR01ES029922 · NIEHS · UNIVERSITY OF KANSAS LAWRENCE · PI MACDONALD, STUART JOHN · 2019 to 2021
$682k
Linking genomic, physiological, and behavioral responses using a Drosophila model of heavy metal stressK99ES033257 · NIEHS · UNIVERSITY OF KANSAS LAWRENCE · PI EVERMAN, ELIZABETH · 2021 to 2022
$180k
Genetic dissection and characterization of variation in copper resistance in Drosophila melanogasterF32GM133111 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI EVERMAN, ELIZABETH · 2019 to 2020
$127k
NIEHS NIH HHS K99 ES033257NIEHS NIH HHS R01 ES029922NIGMS NIH HHS F32 GM133111NIGMS NIH HHS P20 GM103418NIGMS NIH HHS P30 GM145499NIH HHS R01 OD034064
6 · The paper itself

Abstract

Copper is one of a handful of biologically necessary heavy metals that is also a common environmental pollutant. Under normal conditions, copper ions are required for many key physiological processes. However, in excess, copper quickly results in cell and tissue damage that can range in severity from temporary injury to permanent neurological damage. Because of its biological relevance, and because many conserved copper-responsive genes also respond to other non-essential heavy metal pollutants, copper resistance in

Indexed as

DSPReQTL mappinggene expressionheavy metals

Identifiers

PMID37503205
PMCPMC10370140
OpenAlexW4384133476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.