Evidence map›Paper›PMID 30037072›Full record

ArticleInternational journal of molecular sciences2018

Characterization of a Long Non-Coding RNA, the Antisense RNA of Na/K-ATPase α1 in Human Kidney Cells.

Xiaoming Fan, Usman M Ashraf, Christopher A Drummond, Huilin Shi, Xiaolu Zhang, Sivarajan Kumarasamy, Jiang Tian

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. 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
0.1field-weighted citation impact, top 58% 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. Article
  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

7 authors at 2 institutions in 1 country.

Xiaoming FanDepartment of Medicine, University of Toledo, Toledo, OH 43614, USA. xiaoming.fan@rockets.utoledo.edu.
Usman M AshrafDepartment of Physiology and Pharmacology, Center for Hypertension and Personalized Medicine, University of Toledo, Toledo, OH 43614, USA. Usman.Ashraf2@rockets.utoledo.edu.
Christopher A DrummondDepartment of Medicine, University of Toledo, Toledo, OH 43614, USA. cdrummo88@gmail.com.ORCID 0000-0002-0378-9882
Huilin ShiDepartment of Medicine, University of Toledo, Toledo, OH 43614, USA. Huilin.Shi@UToledo.Edu.
Xiaolu ZhangDepartment of Medicine, University of Toledo, Toledo, OH 43614, USA. Xiaolu.Zhang@utoledo.edu.
Sivarajan KumarasamyDepartment of Physiology and Pharmacology, Center for Hypertension and Personalized Medicine, University of Toledo, Toledo, OH 43614, USA. Sivarajan.Kumarasamy@utoledo.edu.
Jiang TianDepartment of Medicine, University of Toledo, Toledo, OH 43614, USA. Jiang.Tian@utoledo.edu.ORCID 0000-0002-4188-3554
University of Toledo · USMPI Research (United States) · US

Funding

Na/K-ATPase Reduction in Renal Disease-Related Cardiac DysfunctionR01HL105649 · NHLBI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI TIAN, JIANG · 2012 to 2016
$1.8M
NHLBI NIH HHS R01 HL105649
6 · The paper itself

Abstract

Non-coding RNAs are important regulators of protein-coding genes. The current study characterized an antisense long non-coding RNA,

Indexed as

Blotting, WesternCell LineCell ProliferationEpigenesis, GeneticHEK293 CellsHepatocyte Nuclear Factor 3-alphaHumansKidneyReverse Transcriptase Polymerase Chain ReactionRNA, AntisenseRNA, Long NoncodingSignal TransductionSodium-Potassium-Exchanging ATPaseATP1A1 protein, humanFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaRNA, AntisenseRNA, Long NoncodingSodium-Potassium-Exchanging ATPaseATP1A1-AS1long non-coding RNANa/K-ATPasesignaling transductionSrc

Identifiers

PMID30037072
PMCPMC6073804
OpenAlexW2883165821

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.