Evidence map›Paper›PMID 31125290›Full record

ArticlePhysiological genomics2019

Creation of the 5-hydroxytryptamine receptor 7 knockout rat as a tool for cardiovascular research.

Elena Y Demireva, Huirong Xie, Emma D Flood, Janice M Thompson, Bridget M Seitz, Stephanie W Watts

Open access · greenAbstract read
In one paragraph

Article in Physiological genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 5-Hydroxytryptamine may be a viable treatment option for hypertension resistant to diuretic treatment.American journal of physiology. Heart and circulatory physiology · 2025
    Article
  3. Article
  4. Article
  5. 5-HTMicrocirculation (New York, N.Y. : 1994) · 2023
    Article
  6. Article
  7. Recent Advances in the Production of Genome-Edited Rats.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Article
  10. 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

6 authors at 1 institution in 1 country.

Elena Y DemirevaTransgenic and Genome Editing Facility, and Institute for Quantitative Health Science and Engineering, Michigan State University , East Lansing, Michigan.
Huirong XieTransgenic and Genome Editing Facility, and Institute for Quantitative Health Science and Engineering, Michigan State University , East Lansing, Michigan.
Emma D FloodDepartment of Pharmacology and Toxicology, Michigan State University , East Lansing, Michigan.
Janice M ThompsonDepartment of Pharmacology and Toxicology, Michigan State University , East Lansing, Michigan.
Bridget M SeitzDepartment of Pharmacology and Toxicology, Michigan State University , East Lansing, Michigan.
Stephanie W WattsDepartment of Pharmacology and Toxicology, Michigan State University , East Lansing, Michigan.ORCID 0000-0002-9653-6357
Michigan State University · US

Funding

Vascular and Neural Mechanisms of Serotonin-induced Reduction in Blood PressureR01HL107495 · NHLBI · MICHIGAN STATE UNIVERSITY · PI WATTS, STEPHANIE W · 2012 to 2015
$1.4M
NHLBI NIH HHS R01 HL107495
6 · The paper itself

Abstract

Using CRISPR-Cas9 technology, we created a 5-HT

Indexed as

Animals, Genetically ModifiedGene Knockout TechniquesAnimalsBlood PressureBody WeightCardiovascular DiseasesCardiovascular SystemCRISPR-Cas SystemsExonsFemaleFrameshift MutationGene DeletionGenotypeMaleRatsRats, Sprague-DawleyReceptors, SerotoninSerotoninserotonin 7 receptor5-HT receptorcardiovascularrat knockout

Identifiers

PMID31125290
PMCPMC6689730
OpenAlexW2946091874

What OpenQuestion holds

Textmetadata
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.