Evidence map›Paper›PMID 35927429›Full record

ArticleScientific data2022

Male fathead minnow transcriptomes and associated chemical analytes in the Milwaukee estuary system.

Natàlia Garcia-Reyero, Mark A Arick, E Alice Woolard, Mitchell Wilbanks, John E Mylroie, Kathleen Jensen, Michael Kahl, David Feifarek, Shane Poole, Eric Randolph and 5 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

15 authors at 5 institutions in 1 country.

Natàlia Garcia-ReyeroU.S. Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, USA.
Mark A ArickInstitute for Genomics, Biocomputing & Biotechnology (IGBB), Mississippi State University, Starkville, MS, USA.
E Alice WoolardU.S. Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, USA.
Mitchell WilbanksU.S. Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, USA.
John E MylroieBennet Aerospace, Raleigh, NC, USA.
Kathleen JensenU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Michael KahlU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
David FeifarekU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Shane PooleU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Eric RandolphU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Jenna CavallinU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Brett R BlackwellU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Daniel VilleneuveU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Gerald T AnkleyU.S. Environmental Protection Agency, Office of Research and Development, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, MN, USA.
Edward J PerkinsU.S. Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, USA. Edward.J.Perkins@erdc.dren.mil.
Environmental Protection Agency · USU.S. Army Engineer Research and Development Center · USBennett Aerospace (United States) · USMississippi State University · USUnited States Army · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contaminants of Emerging Concern (CECs) can be measured in waters across the United States, including the tributaries of the Great Lakes. The extent to which these contaminants affect gene expression in aquatic wildlife is unclear. This dataset presents the full hepatic transcriptomes of laboratory-reared fathead minnows (Pimephales promelas) caged at multiple sites within the Milwaukee Estuary Area of Concern and control sites. Following 4 days of in situ exposure, liver tissue was removed from males at each site for RNA extraction and sequencing, yielding a total of 116 samples from which libraries were prepared, pooled, and sequenced. For each exposure site, 179 chemical analytes were also assessed. These data were created with the intention of inviting research on possible transcriptomic changes observed in aquatic species exposed to CECs. Access to both full sequencing reads of animal samples as well as water contaminant data across multiple Great Lakes sites will allow others to explore the health of these ecosystems in support of the aims of the Great Lakes Restoration Initiative.

Indexed as

CyprinidaeTranscriptomeAnimalsEcosystemEstuariesMaleWater Pollutants, ChemicalWater Pollutants, Chemical

Identifiers

PMID35927429
PMCPMC9352792
OpenAlexW4289843928

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.