Evidence map›Paper›PMID 31799078›Full record

ArticlePeerJ2019

Analysis of miRNA expression profiles in the liver of

Yanli Wang, Ke Lv, Mei Zhao, Hailong Chen, Guohua Ji, Yongliang Zhang, Tingmei Wang, Hongqing Cao, Yinghui Li, Lina Qu

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Yanli WangSchool of Life Sciences, Northwestern Polytechnical University, Xian, Shaanxi, China.
Ke LvState Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China.
Mei ZhaoInstitute of Psychology, Chinese Academy of Sciences, Beijing, China.
Hailong ChenState Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China.
Guohua JiState Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China.
Yongliang ZhangSchool of Life Sciences, Northwestern Polytechnical University, Xian, Shaanxi, China.ORCID 0000-0001-9965-3594
Tingmei WangSchool of Life Sciences, Northwestern Polytechnical University, Xian, Shaanxi, China.
Hongqing CaoState Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China.
Yinghui LiSchool of Life Sciences, Northwestern Polytechnical University, Xian, Shaanxi, China.
Lina QuState Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China.
China Astronaut Research and Training Center · CNNorthwestern Polytechnical University · CNInstitute of Psychology, Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circadian clock controls the physiological functions of many tissues including the liver via an autoregulatory transcriptional-translational feedback loop, of which CLOCK is a core positive component. In addition, many studies have indicated that microRNAs (miRNAs) regulate liver function. However, how CLOCK-regulated miRNAs are linked to liver function remains largely unknown. In this study, miRNAs expression profiles were performed in the liver of

Indexed as

Circadian rhythmsClock mutationLivermiRNAs

Identifiers

PMID31799078
PMCPMC6885354
OpenAlexW2990508110

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.