Evidence map›Paper›PMID 39766856›Full record

ArticleGenes2024

Expression and Analysis of

Tana An, Manglai Dugarjaviin, Haige Han

Abstract read
In one paragraph

Article in Genes, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Differential Expression ofAnimals : an open access journal from MDPI · 2026
    Article
  3. Differential Expression and Analysis ofAnimals : an open access journal from MDPI · 2026
    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

3 authors.

Tana AnInner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot 010018, China.ORCID 0009-0004-3833-8899
Manglai DugarjaviinInner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot 010018, China.
Haige HanInner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Inner Mongolia Agricultural University, Hohhot 010018, China.

Funding

National Natural Science Joint Fund Key Support Project U23A20224
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe Mongolian horse, one of the oldest and most genetically diverse breeds, exhibits a wide variety of coat colors and patterns, including both wild-type and unique features. A notable characteristic of dun Mongolian horses is the presence of Bider markings-symmetrical, black-mottled patterns observed on the shoulder blades. These markings are also seen in Przewalski's horses. The dun coat color, a common wild-type phenotype in domestic horses, is characterized by pigment dilution with distinct dark areas and is regulated by mutations in the

methodsSkin tissue samples were collected from three key anatomical regions of dun Mongolian horses with Bider markings: the croup, dorsal midline, and shoulder. Histological staining was conducted to examine the skin and hair follicle structure and pigment distribution. RT-qPCR was used to measure

resultsHematoxylin and eosin staining revealed the skin and hair follicle structures, including the epidermis, hair shaft, and hair bulb across different stages of the hair growth cycle. Differences in pigmentation were observed across the sampling sites. The croup and the light-colored area of the shoulder showed asymmetrical pigmentation, while the dorsal midline and dark-colored area of the shoulder displayed symmetrical pigmentation.

conclusionsThis study demonstrates region-specific differences in

Indexed as

SkinT-Box Domain ProteinsAnimalsHair ColorHair FollicleHorsesMongoliaPhenotypeSkin PigmentationT-Box Domain ProteinsBider markingdun coat colorMongolian horseTBX3 gene

Identifiers

PMID39766856
PMCPMC11675668

What OpenQuestion holds

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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.