Evidence map›Paper›PMID 27404636›Full record

ArticlePloS one2016

An Integrated Analysis of MicroRNA and mRNA Expression Profiles to Identify RNA Expression Signatures in Lambskin Hair Follicles in Hu Sheep.

Xiaoyang Lv, Wei Sun, Jinfeng Yin, Rong Ni, Rui Su, Qingzeng Wang, Wen Gao, Jianjun Bao, Jiarui Yu, Lihong Wang and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
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  4. Effect ofBiology · 2022
    Article
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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

11 authors.

Xiaoyang LvCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Wei SunCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Jinfeng YinCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Rong NiCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Rui SuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Qingzeng WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Wen GaoCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Jianjun BaoCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Jiarui YuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Lihong WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Ling ChenAnimal Science and Veterinary Medicine Bureau of Suzhou City, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wave patterns in lambskin hair follicles are an important factor determining the quality of sheep's wool. Hair follicles in lambskin from Hu sheep, a breed unique to China, have 3 types of waves, designated as large, medium, and small. The quality of wool from small wave follicles is excellent, while the quality of large waves is considered poor. Because no molecular and biological studies on hair follicles of these sheep have been conducted to date, the molecular mechanisms underlying the formation of different wave patterns is currently unknown. The aim of this article was to screen the candidate microRNAs (miRNA) and genes for the development of hair follicles in Hu sheep. Two-day-old Hu lambs were selected from full-sib individuals that showed large, medium, and small waves. Integrated analysis of microRNA and mRNA expression profiles employed high-throughout sequencing technology. Approximately 13, 24, and 18 differentially expressed miRNAs were found between small and large waves, small and medium waves, and medium and large waves, respectively. A total of 54, 190, and 81 differentially expressed genes were found between small and large waves, small and medium waves, and medium and large waves, respectively, by RNA sequencing (RNA-seq) analysis. Differentially expressed genes were classified using gene ontology and pathway analyses. They were found to be mainly involved in cell differentiation, proliferation, apoptosis, growth, immune response, and ion transport, and were associated with MAPK and the Notch signaling pathway. Reverse transcription-polymerase chain reaction (RT-PCR) analyses of differentially-expressed miRNA and genes were consistent with sequencing results. Integrated analysis of miRNA and mRNA expression indicated that, compared to small waves, large waves included 4 downregulated miRNAs that had regulatory effects on 8 upregulated genes and 3 upregulated miRNAs, which in turn influenced 13 downregulated genes. Compared to small waves, medium waves included 13 downregulated miRNAs that had regulatory effects on 64 upregulated genes and 4 upregulated miRNAs, which in turn had regulatory effects on 22 downregulated genes. Compared to medium waves, large waves consisted of 13 upregulated miRNAs that had regulatory effects on 48 downregulated genes. These differentially expressed miRNAs and genes may play a significant role in forming different patterns, and provide evidence for the molecular mechanisms underlying the formation of hair follicles of varying patterns.

Indexed as

Gene Expression ProfilingAnimalsGene Regulatory NetworksHair FollicleMicroRNAsRNA, MessengerSheepMicroRNAsRNA, Messenger

Identifiers

PMID27404636
PMCPMC4942090

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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.