Daniel Hornburg

Expanded Proteome Coverage Powered by Advanced Ion Processing Enables Deep Single-Cell Drug Response Subtyping in Human Stem Cell Derived Cardiomyocytes

This paper introduces an enhanced single-cell proteomics workflow using timsUltra AIP, showing improved proteome coverage and drug response subtyping in human iPSC-CMs.

An ultrasensitive spatial tissue proteomics workflow exceeding 100 proteomes per day

The paper develops an ultrasensitive spatial tissue proteomics workflow capable of processing over 100 proteomes per day, demonstrating its utility in analyzing rare cancers.

Deep, unbiased and quantitative mass spectrometry-based plasma proteome analysis of individual responses to mRNA COVID-19 vaccine

This study quantitatively analyzes plasma proteome changes in vaccinated individuals using a nanoparticle-based proteomic workflow, identifying proteins associated with vaccine response and COVID-19 infection.

High-throughput proteome profiling with low variation in a multi-center study using dia-PASEF

The paper benchmarks dia-PASEF with timsTOF HT for high-throughput proteome analysis in a multi-center study, showing consistent protein and peptide identification across laboratories.

Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease

This study tracks microbiome changes across four body sites in 86 participants over six years, revealing site-specific stability, individualized dynamics, and altered patterns in insulin-resistant individuals.

Longitudinal Deep Multi-Omics Profiling in a CLN3Δex7/8 Minipig Model Reveals Novel Biomarker Signatures for Batten Disease

Lipidomic profiling reveals age-dependent changes in complex plasma membrane lipids that regulate neural stem cell aging

This study identifies age-related lipidomic changes in neural stem cells using mass spectrometry and shows that lipid modifications affect NSC function and activation.

Identification of Covalent Modifications Regulating Immune Signaling Complex Composition and Phenotype

The paper introduces a method to identify covalent modifications and protein interactions regulating immune signaling complex composition and function in monocytes.

Integration and comparison of multi-omics profiles of NGLY1 deficiency plasma and cellular models to identify clinically relevant molecular phenotypes

This study integrates metabolomics and proteomics data from NGLY1 deficiency patient samples and cellular models to identify molecular phenotypes linked to immune activation and metabolic disturbances.

A genome-wide almanac of co-essential modules assigns function to uncharacterized genes

This paper develops a statistical method to identify gene co-essentiality, creating a genome-wide functional module almanac that predicts functions for 102 uncharacterized genes and validates key findings.

Molecular Choreography of Acute Exercise

The paper characterizes the dynamic multi-omic molecular response to acute exercise and identifies biomarkers of fitness.