Evidence map›Paper›PMID 37291509›Full record

ArticleBMC genomic data2023

A multi-tissue gene expression dataset for hibernating brown bears.

Blair W Perry, Michael W Saxton, Heiko T Jansen, Corey R Quackenbush, Brandon D Evans Hutzenbiler, Charles T Robbins, Joanna L Kelley, Omar E Cornejo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomic data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 2 institutions in 1 country.

Blair W PerrySchool of Biological Sciences, Washington State University, Pullman, WA, 99164, USA.
Michael W SaxtonSchool of Biological Sciences, Washington State University, Pullman, WA, 99164, USA.
Heiko T JansenDepartment of Integrative Physiology and Neuroscience, Washington State University, Pullman, WA, 99164, USA.
Corey R QuackenbushSchool of Biological Sciences, Washington State University, Pullman, WA, 99164, USA.
Brandon D Evans HutzenbilerSchool of Biological Sciences, Washington State University, Pullman, WA, 99164, USA.
Charles T RobbinsSchool of Biological Sciences, Washington State University, Pullman, WA, 99164, USA.
Joanna L KelleyDepartment of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, 95060, USA.
Omar E CornejoDepartment of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, 95060, USA. omcornej@ucsc.edu.
Washington State University · USUniversity of California, Santa Cruz · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesComplex physiological adaptations often involve the coordination of molecular responses across multiple tissues. Establishing transcriptomic resources for non-traditional model organisms with phenotypes of interest can provide a foundation for understanding the genomic basis of these phenotypes, and the degree to which these resemble, or contrast, those of traditional model organisms. Here, we present a one-of-a-kind gene expression dataset generated from multiple tissues of two hibernating brown bears (Ursus arctos). DATA DESCRIPTION: This dataset is comprised of 26 samples collected from 13 tissues of two hibernating brown bears. These samples were collected opportunistically and are typically not possible to attain, resulting in a highly unique and valuable gene expression dataset. In combination with previously published datasets, this new transcriptomic resource will facilitate detailed investigation of hibernation physiology in bears, and the potential to translate aspects of this biology to treat human disease.

Indexed as

HibernationUrsidaeAdaptation, PhysiologicalAnimalsGene ExpressionHumansSeasonsBrown bearsGene expressionHibernationTranscriptomics

Identifiers

PMID37291509
PMCPMC10251632
OpenAlexW4379879896

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.