Evidence map›Paper›PMID 31788200›Full record

ArticleEcology and evolution2019

Differential gene expression in chronic wasting disease-positive white-tailed deer (

Emma K Trone-Launer, Jun Wang, Guoqing Lu, Nohra E Mateus-Pinilla, Paige R Zick, James T Lamer, Paul A Shelton, Christopher N Jacques

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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 5 institutions in 2 countries.

Emma K Trone-LaunerDepartment of Biological Sciences Western Illinois University Macomb IL USA.
Jun WangKey Laboratory of Freshwater Fisheries Germplasm Resources Ministry of Agriculture Shanghai Ocean University Shanghai China.
Guoqing LuDepartment of Biology and School of Interdisciplinary Informatics University of Nebraska Omaha Omaha NE USA.
Nohra E Mateus-PinillaIllinois Natural History Survey-Prairie Research Institute University of Illinois Urbana-Champaign Champaign IL USA.
Paige R ZickDepartment of Biological Sciences Western Illinois University Macomb IL USA.
James T LamerIllinois River Biological Station Illinois Natural History Survey Havana IL USA.ORCID https://orcid.org/0000-0003-1155-1548
Paul A SheltonIllinois Department of Natural Resources Springfield IL USA.
Christopher N JacquesDepartment of Biological Sciences Western Illinois University Macomb IL USA.ORCID https://orcid.org/0000-0001-5225-457X
Western Illinois University · USIllinois Department of Natural Resources · USShanghai Ocean University · CNUniversity of Illinois Urbana-Champaign · USUniversity of Nebraska at Omaha · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy (TSE) that affects cervid species throughout North America. We evaluated gene expression in white-tailed deer collected by Illinois Department of Natural Resource wildlife managers during annual population reduction (e.g., sharpshooting) and disease monitoring efforts throughout the CWD-endemic area of northcentral Illinois. We conducted comparative transcriptomic analysis of liver and retropharyngeal lymph node tissue samples between CWD-positive (

Indexed as

chronic wasting diseasedifferential gene expressionIllinoisOdocoileus virginianusRNA‐Seqwhite‐tailed deer

Identifiers

PMID31788200
PMCPMC6875659
OpenAlexW2982601874

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.