M. M. Oeller

Aggregate Deep Visual Proteomics reveals selective organization of α-synuclein inclusions

This study uses Aggregate Deep Visual Proteomics to show that α-synuclein inclusions selectively concentrate specific proteins in neurons, revealing their formation mechanisms and potential therapeutic targets.

Scanning DIA on the ZenoTOF 8600 system records a precursor dimension for every fragment at tenfold higher ion flux

The paper introduces the ZenoTOF 8600 system, which enhances proteomics by increasing ion flux and improving precursor identification and quantification in DIA mode.

In the same cell, the proteome defines cellular state and the transcriptome marks transitions

The paper quantifies proteins and transcripts in the same cell, finding that the proteome defines stable cell states while the transcriptome reflects transitions.

A cell type-resolved proteomic atlas of the human body

The paper constructs a cell type-resolved proteomic atlas of the human body using Deep Visual Proteomics, revealing protein abundance patterns and uncovering cancer-testis antigens in oocytes.

Biomolecular condensates sustain pH gradients at equilibrium driven by charge neutralisation

This study shows that biomolecular condensates can sustain pH gradients without energy input by neutralizing charges, revealing their role in creating pH microenvironments.

Deep Learning-Driven Fragment Ion Selection for Improved Quantification in MS based Proteomics

The paper introduces QuantSelect, a deep learning method for fragment ion selection in DIA proteomics, improving quantification accuracy and differential expression sensitivity.

Targeting Specific Kinase Substrates Rescues Increased Colitis Severity Induced by the Crohn's Disease-Linked LRRK2-N2081D Variant

This study investigates how the LRRK2-N2081D variant increases Crohn's disease risk by showing it causes more severe colitis and distinct RAB substrate phosphorylation compared to LRRK2-G2019S.

Solid-Phase Extraction Capture (SPEC) in nanoliter volumes for fast, robust and ultra-sensitive proteomics

The paper introduces SPEC, a proteomics sample preparation method that improves proteome depth and reproducibility from limited samples.

nanoPhos enables ultra-sensitive and cell-type resolved spatial phosphoproteomics

nanoPhos improves phosphoproteomics sensitivity and enables cell-type resolved spatial analysis of mouse brain tissue.

The proteomic landscape of proteotoxic stress in a fibrogenic liver disease

This study uses spatial proteomics and machine learning to analyze AATD in human liver tissue, revealing peroxisomal upregulation and a terminal hepatocyte state with distinct proteomic signatures.