Andrew F. Jarnuczak

This study develops a multi-omics framework to identify biomarkers of inhaled drug-induced lung toxicity using spatial transcriptomics, proteomics, and histopathological data.

The paper identifies new neo-substrates of the molecular glue indisulam using network analysis and proteomics, validating one candidate through experimental testing.

The paper validates EndoC-βH1 as a translational human β cell model using omics and characterizes its secretome, finding it secretes 671 proteins in baseline and 3,278 under stress, with exosome secretion as a major mode.

This study compiles a proteomics resource for cancer cell lines and tumour samples, finding that protein abundance in cell lines often reflects tumours but fails to capture subtype-specific variations.

The paper creates a comprehensive human phosphoproteome by integrating 6,801 phospho-enriched mass spectrometry experiments and prioritizes functional phosphosites using machine learning.

This paper explores how to quantify the impact of public omics data by examining usage patterns and the role of FAIR principles in data discovery and reuse.