Mathias J. Gerl

C-COMPASS: A Neural Network Tool for Multi-Omic Classification of Cell Compartments

C-COMPASS predicts protein and lipid localization across cellular compartments using neural networks, enabling multi-omic analysis of organelle dynamics in humanized liver mice.

Genome-wide association analysis of plasma lipidome identifies 495 genetic associations

This study identifies 495 genetic associations with plasma lipid species using genome-wide analysis in 7,174 Finnish individuals and fine-mapping in 377,277 participants, revealing 9 novel loci and disease links.

Lipidome- and genome-wide study to understand sex differences in circulatory lipids

The paper examines sex differences in circulatory lipids and their genetic determinants using lipidomics and genome-wide association studies across multiple cohorts.

Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories toward type 2 diabetes

This study uses multi-omics analysis of pancreatic islet donors to show heterogeneous beta cell changes associated with type 2 diabetes progression.

Genetics of human plasma lipidome: Understanding lipid metabolism and its link to diseases beyond traditional lipids

The paper conducts GWAS and PheWAS on plasma lipid species to identify genetic associations and their links to diseases beyond traditional lipid measures.

LIPEA: Lipid Pathway Enrichment Analysis

LIPEA is a web tool that performs over-representation analysis on lipid signatures to identify significantly enriched biological pathways from lipidomics data.