Christopher Gerner

The paper integrates proteomics and lipidomics data from sheep organs to functionally annotate lipid mediators and identify novel roles for fatty acids in protein synthesis and inflammation resolution.

This study identifies acetylation-dependent remodeling of the secretory pathway in senescence, showing its role in shaping the senescence-associated secretome.

This study identifies TRβ as a driver of prostate cancer growth and shows that NH-3 inhibits PCa cell proliferation and tumor growth, particularly in castration-resistant models.

This study identifies plectin as a critical mediator of mechanical homeostasis in hepatocellular carcinoma, showing that its inhibition suppresses tumor growth and metastasis.

This study uses phosphoproteomics to show that inflammatory stimulation of fibroblasts primarily drives resource and stress management rather than specific inflammatory effector functions.

This paper introduces a high-throughput proteomics method for biological sex identification from archaeological human dental enamel, achieving high accuracy and scalability.

The paper optimizes automated phosphopeptide enrichment to improve phosphoproteome coverage and sensitivity in low-input samples using LC-MS/MS.

The paper shows that subculture memory effects increase variation in omics data from perturbation studies, improving deconvolution and revealing causal networks.

The paper introduces a normalization method, MIX, that combines pharmacokinetic and statistical approaches to correct size effects in metabolomic time series data, improving biomarker detection.

This study shows that daily caffeine intake reduces grey matter volume in humans and impairs working memory, suggesting potential long-term cognitive detriments.