Anton Iliuk
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
151
Citations
3,419
Est. group size
~6
Recurring co-author estimate
Active years
19
Publishing since 2008
Anton Iliuk's research focuses on developing proteomics-based methods (studying the full set of proteins in a sample) to discover disease biomarkers, with a particular emphasis on extracellular vesicles—tiny particles released by cells that carry proteins, RNA, and other molecules and can be found in blood, urine, and other body fluids. This work spans applications in cancers (breast, pancreatic, prostate, endometrial, lung), Alzheimer's disease, and diabetes, often combining mass spectrometry with machine learning to identify markers that could support earlier, less invasive diagnosis.
Publication output grew substantially from 2017 through a peak around 2022-2023, followed by a decline in 2024-2025, though final-year counts may be incomplete.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- From Operating Room to Office: Translational Pathway for a Machine Learning–Driven Uterine Lavage Liquid Biopsy for Endometriosis and Adenomyosis
Obstetrics and Gynecology · 2026
- Proteomic profiling of brain organoids and extracellular vesicles identifies early Alzheimer's disease biomarkers and drug response heterogeneity
Alzheimer s & Dementia · 2026
- Coregulated metabolite networks associated with global protein crotonylation are central pathophysiological processes in prediabetes and diabetes
medRxiv · 2026
- ML-driven uterine lavage extracellular vesicle proteomics enables accurate, early detection of endometrial cancer
Gynecologic Oncology · 2026
- Host and bacterial urine proteomics might predict treatment outcomes for immunotherapy in advanced non-small cell lung cancer patients
Frontiers in Immunology · 2025
- Automated Enrichment and Coextraction Pipeline for Efficient Analysis of Urinary Extracellular Vesicle Protein and RNA
Journal of Proteome Research · 2025
- Phosphoproteomics of Cerebrospinal Fluid-Derived Extracellular Vesicles Applied to Primary Central Nervous System Lymphoma
Methods in molecular biology · 2025
- Bioinformatics-Guided Identification and Quantification of Biomarkers of Crotalus atrox Envenoming and Its Neutralization by Antivenom
Molecular & Cellular Proteomics · 2025
- Profiling Protein Post-Translational Modifications in Plasma-derived Extracellular Vesicles as Fingerprints for Breast Cancer Subtypes
Research Square · 2025
- Table S1 from Breast Cancer Mutations <i>HER2<sup>V777L</sup></i> and <i>PIK3CA<sup>H1047R</sup></i> Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug Resistance
2025
- Table S2 from Breast Cancer Mutations <i>HER2<sup>V777L</sup></i> and <i>PIK3CA<sup>H1047R</sup></i> Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug Resistance
2025
- Table S5 from Breast Cancer Mutations <i>HER2<sup>V777L</sup></i> and <i>PIK3CA<sup>H1047R</sup></i> Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug Resistance
2025
- Table S6 from Breast Cancer Mutations <i>HER2<sup>V777L</sup></i> and <i>PIK3CA<sup>H1047R</sup></i> Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug Resistance
2025
- Table S4 from Breast Cancer Mutations <i>HER2<sup>V777L</sup></i> and <i>PIK3CA<sup>H1047R</sup></i> Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug Resistance
2025
- Table S3 from Breast Cancer Mutations <i>HER2<sup>V777L</sup></i> and <i>PIK3CA<sup>H1047R</sup></i> Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug Resistance
2025
- medRxiv×6
- Figshare×6
- Analytical Chemistry×5
- Cancer Research×5
- Journal of Proteome Research×4
- W. Andy Tao
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Miranda L. Gardner
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Colin L. Hisey
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Kwang Joo Kwak
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Daniel Dodd
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile