April 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” In this study, researchers identified a gene regulatory network in Arabidopsis that controls root hair growth under low-temperature conditions, revealing specific transcription factors and downstream targets that contribute to this growth response despite overall plant development being halted.
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February 2025 in “Nature Communications” In this study, a deep neural network model called regX was developed to prioritize driver regulators for cell state transitions by incorporating gene-level regulation and interactions, showing potential therapeutic targets in type 2 diabetes and hair follicle development when applied to single-cell multi-omics data.
December 2023 in “Animals” In this study, researchers analyzed miRNA and gene expression in the hair follicles of FMD during different hair cycle stages, identifying differential expression patterns and key pathways involved in hair follicle development and growth.
June 2026 in “Health Science Reports” This study examined the genetic basis of alopecia areata by analyzing gene expression differences between patients and healthy controls, identifying critical pathways, hub genes, transcription factors, and miRNAs implicated in the disease, and suggesting potential targets for treatment.
This review synthesizes current advances in transcriptomics and RNA regulatory networks, alongside stem cell-derived skin organoid research, to propose a conceptual framework for understanding and potentially guiding regenerative skin repair, without claiming clinical readiness.