AI Article Synopsis

  • The study investigates the role of micro(mi)RNAs in human hair follicle (HF) cycling, revealing that these molecules are key regulators of hair biology pathways.
  • Researchers analyzed the expression of ten candidate miRNAs in HFs from 25 healthy males and identified target genes linked to known and novel hair-related functions.
  • Findings suggest that exploring miRNA interactions and their target pathways could enhance our understanding of hair growth and potentially address hair loss issues.

Article Abstract

Background: Human hair follicle (HF) cycling is characterised by the tight orchestration and regulation of signalling cascades. Research shows that micro(mi)RNAs are potent regulators of these pathways. However, knowledge of the expression of miRNAs and their target genes and pathways in the human HF is limited. The objective of this study was to improve understanding of the role of miRNAs and their regulatory interactions in the human HF.

Methods: Expression levels of ten candidate miRNAs with reported functions in hair biology were assessed in HFs from 25 healthy male donors. MiRNA expression levels were correlated with mRNA-expression levels from the same samples. Identified target genes were tested for enrichment in biological pathways and accumulation in protein-protein interaction (PPI) networks.

Results: Expression in the human HF was confirmed for seven of the ten candidate miRNAs, and numerous target genes for miR-24, miR-31, and miR-106a were identified. While the latter include several genes with known functions in hair biology (e.g., ITGB1, SOX9), the majority have not been previously implicated (e.g., PHF1). Target genes were enriched in pathways of interest to hair biology, such as integrin and GnRH signalling, and the respective gene products showed accumulation in PPIs.

Conclusions: Further investigation of miRNA expression in the human HF, and the identification of novel miRNA target genes and pathways via the systematic integration of miRNA and mRNA expression data, may facilitate the delineation of tissue-specific regulatory interactions, and improve our understanding of both normal hair growth and the pathobiology of hair loss disorders.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322611PMC
http://dx.doi.org/10.1186/s12895-017-0054-9DOI Listing

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