4 citations
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May 2021 in “The journal of investigative dermatology/Journal of investigative dermatology” This study reported that ELL is crucial for maintaining the proliferative capacity of the basal layer in human epidermal keratinocytes by stabilizing RNA polymerase II at the transcription start site.
2 citations
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August 2022 in “Emergency medicine international” This study found that a key gene signature, including FGF11, highlights the immunologic nature of keloid lesions, distinguishing them from normal fibroblasts and scars.
1 citations
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December 2025 in “Scientific Reports” In this study, researchers developed a predictive model for the onset of alopecia areata by analyzing six datasets to identify key feature genes and employing various machine learning algorithms, ultimately finding the XGBoost model most effective for clinical application.
19 citations
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January 2018 in “BioMed Research International” This study suggests that miRNAs, particularly miR-195-5p, may regulate the loss of hair follicle inductivity in cultured dermal papilla cells by suppressing the Wnt/β-catenin pathway.
2 citations
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October 2023 in “Cancer Reports” This study found that colorectal cancer patients could be categorized into two groups based on mitochondrial-related gene features, with distinct survival outcomes and tumor microenvironment characteristics, suggesting these features could inform individualized treatment plans.