Evidence map›Paper›PMID 27909446›Full record

ArticleFrontiers in genetics2016

Functional Toxicogenomic Profiling Expands Insight into Modulators of Formaldehyde Toxicity in Yeast.

Matthew North, Brandon D Gaytán, Carlos Romero, Vanessa Y De La Rosa, Alex Loguinov, Martyn T Smith, Luoping Zhang, Chris D Vulpe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2016. 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
0.7field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Role of Dissimilative Pathway ofMicroorganisms · 2022
    Article
  3. Article
  4. Article
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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

8 authors at 1 institution in 1 country.

Matthew NorthDepartment of Nutritional Science and Toxicology, University of California Berkeley, CA, USA.
Brandon D GaytánDepartment of Nutritional Science and Toxicology, University of California Berkeley, CA, USA.
Carlos RomeroDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, CA, USA.
Vanessa Y De La RosaDepartment of Nutritional Science and Toxicology, University of California Berkeley, CA, USA.
Alex LoguinovDepartment of Nutritional Science and Toxicology, University of California Berkeley, CA, USA.
Martyn T SmithDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, CA, USA.
Luoping ZhangDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, CA, USA.
Chris D VulpeDepartment of Nutritional Science and Toxicology, University of California Berkeley, CA, USA.
University of California, Berkeley · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
6 · The paper itself

Abstract

Formaldehyde (FA) is a commercially important chemical with numerous and diverse uses. Accordingly, occupational and environmental exposure to FA is prevalent worldwide. Various adverse effects, including nasopharyngeal, sinonasal, and lymphohematopoietic cancers, have been linked to FA exposure, prompting designation of FA as a human carcinogen by U.S. and international scientific entities. Although the mechanism(s) of FA toxicity have been well studied, additional insight is needed in regard to the genetic requirements for FA tolerance. In this study, a functional toxicogenomics approach was utilized in the model eukaryotic yeast

Indexed as

alternative modelsformaldehydefunctional genomicsyeast

Identifiers

PMID27909446
PMCPMC5112362
OpenAlexW2551974436

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.