17 citations
,
November 2017 in “PLoS ONE” Transplanted bone marrow cells actively move, form clusters, and grow after transplantation.
10 citations
,
August 2014 in “PLoS ONE” Hair follicles can help diagnose traumatic brain injury quickly and non-invasively.
16 citations
,
February 2018 in “BMC Genomics” Certain genetic markers linked to reproductive potential were identified by their impact on a protein's ability to bind to genes.
January 2019 in “Florida International University Digital Commons (Florida International University)” TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
32 citations
,
August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
18 citations
,
September 2013 in “Technology” The study introduced a new imaging technology to track skin healing and bone marrow cell activity over time.
September 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Hair follicles and urine cell pellets are promising for transcriptome studies due to consistent quality and useful expression profiles.
2 citations
,
January 2010 July 2024 in “Journal of Investigative Dermatology”
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
13 citations
,
June 2014 in “Molecular therapy” The lentiviral array can monitor and predict gene activity during stem cell differentiation.
July 2022 in “Postepy biochemii” DNA markers can predict physical traits for forensic use, but there are ethical and technical challenges.
August 2018 in “Zenodo (CERN European Organization for Nuclear Research)” New techniques can record electromagnetic fields in hair follicles for potential medical use.
September 2024 in “Journal of the American Academy of Dermatology” 11 citations
,
April 2023 in “Frontiers in Pharmacology” Integrating biological networks improves drug repurposing and ADR prediction.
October 2025 in “Experimental & Molecular Medicine” Hair analysis is valuable for health and forensics but faces challenges like growth variability and contamination.
24 citations
,
March 2022 in “Genome biology” scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
December 2019 in “Periodicals of Engineering and Natural Sciences (PEN)” Hair analysis can provide insights into a person's medical history and location over time.
August 2023 in “Journal of Investigative Dermatology” Different body areas have unique skin cell communication patterns, explaining why certain skin diseases occur in specific regions.
30 citations
,
May 2020 in “Forensic Science International Genetics” The method improved hair analysis for better forensic identification.
29 citations
,
January 2010 in “Methods in Enzymology” The document concludes that careful design of genetic fate mapping experiments is crucial for accurate cell lineage tracing in mice.
9 citations
,
December 2023 in “BMC Genomics” Hair follicles and urine cell pellets are promising for transcriptome studies.
4 citations
,
March 2024 in “Forensic Sciences Research” Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
22 citations
,
April 2020 in “Frontiers in Cellular and Infection Microbiology” Alopecia areata may be linked to scalp microbiome differences, suggesting potential treatments with prebiotics, probiotics, and postbiotics.
4 citations
,
February 2020 in “Cell & tissue research/Cell and tissue research” Hair follicle stem cells might help treat traumatic brain injury.
5 citations
,
June 2022 in “Biophysical Journal” TGF-β and TNF influence hair follicle cell fate, with TNF being more effective in triggering cell death.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
September 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Not having enough cystatin M/E protein causes less hair growth and dry skin.
January 2026 in “Figshare”