54 citations
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January 2021 in “Biophysics Reports” This review highlights the current progress and application pros and cons of various cell-based screening platforms in drug discovery, discussing challenges and potential improvements for these innovative methods.
29 citations
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June 2017 in “Journal of Inherited Metabolic Disease” This review discusses the potential of using high-throughput and high-content screening methods for drug repositioning in rare diseases and reports no new results.
3 citations
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February 2025 in “Endocrine” This study emphasizes the necessity of confirming elevated testosterone levels detected by immunoassay with liquid chromatography-tandem mass spectroscopy before pursuing more complex diagnostic evaluations.
November 2023 in “Journal of Investigative Dermatology” This study used advanced single-cell RNA and chromatin sequencing to investigate differences in peripheral blood cells between mild and severe alopecia areata patients, uncovering shared transcription factor motifs that may explain disease severity and open avenues for future research on therapeutic targets.
April 2017 in “bioRxiv (Cold Spring Harbor Laboratory)” This study introduced the dual-flow-RootChip platform to demonstrate that Arabidopsis roots exhibit non-autonomous adaptations, such as hair growth regulation, when subjected to varied environmental conditions on opposite sides.
This study examined the molecular communication in psoriasis cells, highlighting unique immune cell interactions and identifying new features of the hair follicle cell-psoriasis axis. It suggests the potential for targeted therapies at the single-cell level to improve psoriasis treatment.
57 citations
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July 2000 in “Toxicology Letters” This study found that the K6/ODC transgenic mouse model is highly sensitive to identifying genotoxic carcinogens, showing 100% concordance with traditional rodent bioassays.
23 citations
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July 2018 in “BMC Complementary and Alternative Medicine” This study used association rule mining and network analysis to identify frequently combined herb sets for treating alopecia from 56 articles, highlighting the potential of Polygonum multiflorum, Angelica sinensis, and Ligusticum chuanxiong in traditional medicine and suggesting further bioinformatics research to understand their efficacy.
The researchers developed a comprehensive human skin cell atlas using data from various studies and established a consensus nomenclature for normal human skin in this project, which also includes a deep learning-based method for more effective reference mapping of new cells.
4 citations
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May 2017 in “Data in Brief” This study identified five potential molecular targets for future androgenetic alopecia therapy using genome-wide gene-expression investigations and bioinformatics analyses.
April 2023 in “JMIR Research Protocols” In this study, researchers are constructing a comprehensive data set from 997 adult participants in Japan to develop a statistical model that explores the relationships among various health parameters, aiming to enable personalized and preventive health care interventions based on empirical data.
3 citations
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February 2024 in “Forensic Sciences Research” In this study, researchers found that massively parallel sequencing of mitochondrial DNA (mtDNA) can improve information recovery from forensic samples, with successful full region amplification possible from as few as 2,000 mtDNA copies, albeit with variability in heteroplasmy among hair samples from the same donor.
April 2018 in “Journal of Investigative Dermatology” This study used single-cell RNA sequencing to identify at least nine subpopulations of keratinocytes in human neonatal epidermis, revealing unexpected heterogeneity and complex differentiation trajectories.
4 citations
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March 2024 in “Forensic Sciences Research” This review found that current forensic DNA phenotyping panels for biogeographical ancestry and visible traits face significant limitations due to inconsistencies in terminology, genetic understanding, and genotyping technologies, highlighting the need for harmonization and further research.
September 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” In this study, the reconstructed skin epidermal model derived from hair follicles showed gene expression and enzyme functionality consistent with native human skin, suggesting its viability for studying skin metabolism and potential toxicity of dermo-cosmetic ingredients.
383 citations
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February 2011 in “Nature Reviews Genetics” This review discusses advances in forensic DNA profiling, highlighting new genetic markers and methods for identifying unknown individuals, but reports no new research findings.
November 2023 in “Zenodo (CERN European Organization for Nuclear Research)” In this study, Almet et al. (2023) compiled integrated single-cell RNA sequencing data from multiple mouse datasets to investigate how fibroblasts evolve during wound healing by examining changes in the extracellular matrix and signaling pathways.
July 2025 in “Malaria Journal” This study suggests that while Nanostring profiling identifies important processes in resolving MA-ARDS, solely targeting late-stage resolution by altering SPM production is not enough. The researchers conclude that combining multi-targeted adjunctive therapies with antimalarial drugs may be necessary to enhance survival and recovery.
1 citations
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January 2014 in “Hair therapy & transplantation” This report describes benefits of advanced hair transplant techniques, micro-FUE and U-FUE, which may result in natural, undetectable hair restoration and discrete post-procedure appearance.
1 citations
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September 2017 This study found that the combination of Stemoxydine® and Resveratrol improved hair density in women with Female Pattern Hair Loss.
4 citations
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November 2024 in “Current Opinion in Genetics & Development”
This study created a detailed atlas of endogenous peptides across 13 maize tissues during various developmental phases, revealing a complex regulatory network where peptide abundance doesn't always align with their source proteins, signaling unique roles in maize development.
December 2022 in “IntechOpen eBooks” This paper discusses forensic DNA phenotyping, emphasizing its ability to infer visible traits from biological samples without reference samples, but notes ethical and legal concerns related to its use.
20 citations
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August 2014 in “Talanta” This study developed a novel method to simultaneously measure finasteride, dutasteride, and related biomarkers in serum, finding that both drugs lowered DHT levels while increasing substrate concentrations.
13 citations
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August 2017 in “Scientific reports” This study designed a 66 K SNP chip using solution hybrid selection for cashmere goats, reporting SNP call rates between 95.3% and 99.8% and demonstrating its utility in genomic analyses, suggesting potential application for other species.
November 2023 in “Zenodo (CERN European Organization for Nuclear Research)” This study does not report results but provides integrated single-cell RNA sequencing data from multiple mouse wound healing models, offering resources for studying fibroblast-driven changes in the extracellular matrix and signaling during the healing process.
May 2026 in “JID Innovations” This study found a significant overlap between gene expression signatures of alopecia areata and certain chronic inflammatory skin disorders, suggesting shared biological processes may drive their co-occurrence and providing a foundation for future research into distinct comorbid subtypes.
9 citations
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May 2020 in “Journal of Pharmaceutical and Biomedical Analysis” This study developed an efficient LC-MS bioanalytical method to simultaneously quantify minoxidil sulphate and latanoprost in skin layers, supporting the formulation of topical treatments for androgenic alopecia.
August 2026 in “The FASEB Journal” This study identified two key epigenetic-related genes, HR and SMYD4, which may act as potential biomarkers in keloid disease, suggesting new therapeutic avenues for further research.
This study identified 193 plasma proteins associated with prostate cancer risk, validating 20 high-risk proteins including KLK3, and pinpointed potential drug targets like HSPB1, RRM2B, and PSCA through genetic analysis, offering new insights for biomarkers and treatments.