Longitudinal deep multi-omics profiling in a CLN3Δex7/8 minipig model identifies biomarker signatures of disease
This study's findings demonstrate the potential of deep multi-omics profiling for uncovering disease-specific biomarkers, providing valuable insights for understanding disease and facilitating the identification of potential drug targets, thus offering valuable insights for therapeutic interventions.
Authors
- Daniel Hornburg (ORCID: https://orcid.org/0000-0002-6618-7774)
- Khatereh Motamedchaboki
- Mitchell J. Rechtzigel (ORCID: https://orcid.org/0000-0002-5298-7391)
- Jon J. Brudvig (ORCID: https://orcid.org/0000-0002-3324-6125)
- Christine Neville (ORCID: https://orcid.org/0000-0003-4618-5496)
- Vicki J. Swier (ORCID: https://orcid.org/0000-0001-7509-9920)
- Tyler B. Johnson (ORCID: https://orcid.org/0000-0002-6431-942X)
- Alex Campos
- Ting Huang
- Jill M. Weimer
- Brittany Lee
- Ramón Díaz
Institutions
- Sanford Burnham Prebys Medical Discovery Institute (US)
- University of South Dakota (US)
- Sanford Research (US)
- Amicus Therapeutics (United States) (US)
Publication Details
- Journal
- Communications Medicine
- Published
- 2026-03-03
- DOI
- https://doi.org/10.1038/s43856-025-01227-5
- Primary Topic
- Lysosomal Storage Disorders Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00