Evidence map›Paper›PMID 41614902›Full record

ArticleCurrent issues in molecular biology2026

Effect of Short Tandem Target Mimic miR-5110 on Melanogenesis in Melanocytes of Alpaca (

Shanshan Yang, Dingxing Jiao, Xuqi Wang, Yangyang Yan, Tao Song, Lili Wang, Ping Rui, Zengjun Ma, Fengsai Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current issues in molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shanshan YangCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.
Dingxing JiaoCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.
Xuqi WangCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.
Yangyang YanCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.
Tao SongCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.ORCID 0000-0002-9730-7855
Lili WangCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.
Ping RuiCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.
Zengjun MaCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.ORCID 0000-0003-4379-7534
Fengsai LiCollege of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066000, China.

Funding

Special Project for Basic Scientific Research of Provincial Universities 2023JK02the Science and Technology Research Project of colleges and universities in Hebei province BJK2023012the Scientific Research Fund of the Hebei Normal Unixersity of Science and Technology 2023YB004
6 · The paper itself

Abstract

MicroRNAs (miRNAs) play important roles in the regulation of melanogenesis and coat color in mammals. Short tandem target mimics (STTMs) have been used to block the functions of small RNA in animals and plants. To investigate the role of miR-5110 in melanogenesis, STTM was used to block the expression of miR-5110 (STTM-miR-5110). Luciferase reporter assay data indicated the miR-5110 regulates

Indexed as

melanocytesmelanogenesisMITFSOX10STTM-miR-5110

Identifiers

PMID41614902
PMCPMC12839781

What OpenQuestion holds

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LicenceCC BY
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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.