ArticleBMC genomics2018
Integrated miRNA-mRNA analysis reveals regulatory pathways underlying the curly fleece trait in Chinese tan sheep.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 33 citations in OpenAlex.
- Hair Follicles as Micro-Organs: MicroRNA-Mediated Control of Growth, Cycling, and Fiber Traits.Biomolecules · 2026Review
- Role of MEG3-miRNAs in immune-inflammatory regulation in age-dependent wool follicle remodeling in Tan sheep.BMC genomics · 2026Article
- Population structure and selection signal analysis of indigenous sheep from the southern edge of the Taklamakan Desert.BMC genomics · 2024Article
- Identification of Potential miRNA-mRNA Regulatory Network Associated with Growth and Development of Hair Follicles in Forest Musk Deer.Animals : an open access journal from MDPI · 2023Article
- Imprinted Dlk1-Gtl2 cluster miRNAs are potential epigenetic regulators of lamb fur quality.BMC genomics · 2023Article
- Epigenetic mechanism of Gtl2-miRNAs causes the primitive sheep characteristics found in purebred Merino sheep.Cell & bioscience · 2023Article
- Genetics of the phenotypic evolution in sheep: a molecular look at diversity-driving genes.Genetics, selection, evolution : GSE · 2022Review
- Article
- Integrated analysis of the whole transcriptome of skeletal muscle reveals the ceRNA regulatory network related to the formation of muscle fibers in Tan sheep.Frontiers in genetics · 2022Article
- Integration Analysis of Transcriptome and Proteome Reveal the Mechanisms of Goat Wool Bending.Frontiers in cell and developmental biology · 2022Article
- miRModuleNet: Detecting miRNA-mRNA Regulatory Modules.Frontiers in genetics · 2022Article
- Dynamic changes of genomic methylation profiles at different growth stages in Chinese Tan sheep.Journal of animal science and biotechnology · 2021Article
- Importance of Bioactive Substances in Sheep's Milk in Human Health.International journal of molecular sciences · 2021Review
- Article
- Identification and characterization of circRNAs in the skin during wool follicle development in Aohan fine wool sheep.BMC genomics · 2020Article
- Integrated Hypothalamic Transcriptome Profiling Reveals the Reproductive Roles of mRNAs and miRNAs in Sheep.Frontiers in genetics · 2019Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundTan sheep is an indigenous Chinese breed well known for its beautiful curly fleece. One prominent breed characteristic of this sheep breed is that the degree of curliness differs markedly between lambs and adults, but the molecular mechanisms regulating the shift are still not well understood. In this study, we identified 49 differentially expressed (DE) microRNAs (miRNAs) between Tan sheep at the two stages through miRNA-seq, and combined the data with that in our earlier Suppression Subtractive Hybridization cDNA (SSH) library study to elucidate the mechanisms underlying curly fleece formation.
resultsThirty-six potential miRNA-mRNA target pairs were identified using computational methods, including 25 DE miRNAs and 10 DE genes involved in the MAPK signaling pathway, steroid biosynthesis and metabolic pathways. With the differential expressions between lambs and adults confirmed by qRT-PCR, some miRNAs were already annotated in the genome, but some were novel miRNAs. Inhibition of KRT83 expression by miR-432 was confirmed by both gene knockdown with siRNA and overexpression, which was consistent with the miRNAs and targets prediction results.
conclusionOur study represents the comprehensive analysis of mRNA and miRNA in Tan sheep and offers detailed insight into the development of curly fleece as well as the potential mechanisms controlling curly hair formation in humans.
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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.