9 citations
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March 2017 in “Journal of Visualized Experiments” The assay effectively identifies compounds that affect immune cell activation.
32 citations
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August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
10 citations
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July 2022 in “Journal of Medicinal Chemistry” Adding a second method to PROTACs could improve cancer treatment.
29 citations
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October 2017 in “Journal of proteomics” The research found specific proteins that affect fiber characteristics and hair growth in sheep and goats.
91 citations
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May 1972 in “Journal of Biological Chemistry” Transglutaminases work through a ping-pong mechanism, and human plasma and platelet transglutaminases have similar catalytic subunits.
70 citations
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February 2009 in “Biological Trace Element Research” July 2024 in “Journal of Investigative Dermatology”
19 citations
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November 1971 in “Clinica Chimica Acta” The document concludes that measuring γ-glutamyl transpeptidase activity is more accurate with a higher substrate concentration and using diluted acetic acid to stop the reaction.
April 2020 in “International Journal of Cosmetic Science” The study found that minor protein differences between curved and straight Japanese hair are unlikely to significantly affect hair structure.
July 2017 in “OPAL (Open@LaTrobe) (La Trobe University)” High-throughput LC-MS screening is effective for finding new autotaxin inhibitors for asthma treatment.
April 2019 in “Journal of the Endocrine Society” Using LC-MS/MS for hormone measurement can prevent false high testosterone results and avoid unnecessary tests.
17 citations
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August 2015 in “Journal of steroid biochemistry and molecular biology/The Journal of steroid biochemistry and molecular biology” The study found that urine metabolites M1b or M4 are the best indicators of ATD use in horses, with detection possible up to 77 hours in urine and 28 hours in blood.
12 citations
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March 2018 in “Analytical chemistry” Researchers created a new method to measure brain steroids, finding higher levels of certain steroids and changes due to a drug.
4 citations
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May 2024 in “Steroids” The method accurately measures sex hormones in human plasma but can have small errors.
3 citations
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October 2023 in “Journal of Pain” Certain proteins might predict surgical success in trigeminal neuralgia treatment.
Researchers developed a quick and accurate method to measure hormones in urine, confirming a baldness treatment's effectiveness without altering hormone levels.
January 2026 in “Figshare” January 2026 in “Figshare” 3 citations
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November 2022 in “Separations” The method accurately measures seven androgens in plasma and shows different hormone levels in females with acne and obesity.
27 citations
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April 2013 in “Reviews in endocrine and metabolic disorders” The document concludes that using LC-MS/MS for measuring androgens is more accurate than older methods, but it needs careful validation and standardized references to be most effective.
11 citations
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April 2023 in “Frontiers in Pharmacology” Integrating biological networks improves drug repurposing and ADR prediction.
9 citations
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April 2013 in “Journal of Chromatography B” A reliable method was created to measure tamsulosin in human blood.
June 2025 in “Rapid Communications in Mass Spectrometry” The new method improves protein extraction and analysis in hair, aiding biomedical and forensic work.
January 2013 in “Wageningen Academic Publishers eBooks” Proteomics helps understand protein changes in wool fiber development.
24 citations
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November 1997 in “Journal of Biological Chemistry” Mouse high-glycine/tyrosine proteins have distinct patterns in hair follicles, peaking at specific hair cycle days.
15 citations
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October 2010 in “Archives of Toxicology” A yeast-based test can detect the steroid methyltestosterone in urine longer than traditional methods.
December 2022 in “Research Square (Research Square)” The QuantAnts machines can find cancer markers and create CRISPR targets for them.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
January 2021 in “Scandinavian journal of clinical and laboratory investigation” The document describes a way to measure biotin in blood to prevent wrong test results in hormone level testing.