Péter Nemes

This paper introduces a CE-ESI-MS workflow that enables simultaneous proteome and metabolome analysis in a single run, preserving depth and resolving cell-type differences in Xenopus blastomeres.

This paper introduces aspiration patch proteomics to profile single neurons in intact brain tissue, identifying over 1,000 proteins and enabling subtype-level proteome phenotyping without cell dissociation.

The paper develops a subcellular proteomics method to quantify proteins in asymmetrically dividing frog embryonic stem cells and identifies molecular changes in their descendants.

The paper develops an interface-resolved proteomics method to analyze cell-cell membrane contacts in Xenopus embryos, revealing molecular polarity at early developmental stages.

The paper introduces a rapid CE-MS platform with AI-based processing to profile single human neutrophils, revealing proteomic heterogeneity across immune functions.

The paper introduces Live Eco-AI, a cost-effective single-cell mass spectrometry proteomics method using CE and AI, achieving performance comparable to advanced instruments.

The paper introduces Eco-ddaPASEF, a method that enhances single-cell proteomics by improving ion mobility resolution, enabling deeper proteome detection in embryonic cells.

The paper introduces a fast proteomic method using CE-DIA MS to profile the subcellular proteome of single cells with high sensitivity and coverage.

The paper uses mass spectrometry to analyze the SMO tissue and finds increased energy metabolism and reactive oxygen species, suggesting a role in gastrulation.

The paper develops a method to analyze proteins in single neuronal somas using patch-clamp electrophysiology combined with subcellular capillary electrophoresis mass spectrometry, identifying proteomic differences between neurons.

The paper introduces a data-dependent acquisition strategy for ultrasensitive proteomics, increasing protein detection in trace amounts from cultured neurons.

The paper introduces in vivo subcellular mass spectrometry to analyze proteo-metabolomic profiles in Xenopus laevis embryos, revealing differential quantitative activities between cell types.