Zoltán Takáts

Glutamine and GLS1 are key metabolic checkpoints that Limit T cell Infiltration and Function in HNSCC

This study identifies glutamine metabolism as a key mechanism limiting T cell infiltration and function in HNSCC, showing that targeting glutaminase-1 enhances immune response.

Widespread detection of Polyethylene glycol reveals chronic human exposure through pharmaceutical drugs

Polyethylene glycol in human biofluids can mark drug exposure rather than contamination; it is oxidized to acid metabolites and appears in 2.3% of public metabolomics files.

DESI-MS-Based Analysis of Drug Distribution in Human Renal Cystic Tissue Using the Chorioallantoic Membrane (CAM) as a 3D In Vivo Model

This study uses DESI-MSI to visualize benzbromarone distribution in human renal cyst tissue on the CAM model, showing selective accumulation at the cyst epithelium.

Multimodal imaging reveals a lysosomal drug reservoir that drives heterogeneous distribution of PARP inhibitors

The paper uses multimodal imaging to show that lysosomes act as a reservoir for PARP inhibitors, leading to heterogeneous drug distribution and response in ovarian cancer.

X-CODE: a dual RNA barcoding system for multi-platform clonal tracking and spatial phenotyping

X-CODE enables multi-platform clonal tracking and spatial phenotyping by combining RNA barcoding with sequencing and imaging technologies.

Multi-omic analysis of vaginal bacteria:host immune and metabolic interactions in adverse early pregnancy outcomes

This study investigates host-microbe interactions in early pregnancy by analyzing vaginal bacteria, immune responses, and metabolic profiles to identify markers of adverse outcomes.

Mitochondrial reverse electron transport in myeloid cells perpetuates neuroinflammation

The paper identifies mitochondrial reverse electron transport in myeloid cells as a driver of neuroinflammation and shows that blocking it protects the CNS in disease models.

Mass recalibration for desorption electrospray ionization mass spectrometry imaging using endogenous reference ions.

The paper introduces a post-acquisition method to correct mass drift in DESI-MSI data, reducing mass errors by up to 60 ppm and improving molecular annotation and spatial distribution quality.

Training a neural network to learn other dimensionality reduction removes data size restrictions in bioinformatics and provides a new route to exploring data representations

The paper uses deep learning with t-SNE to analyze large datasets and overcome size limitations in bioinformatics.

Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging

The paper introduces a method using ion co-localization features to classify tumors from MSI data, addressing batch effects and generating hypotheses about sample classes.

METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease

An open-source cloud engine annotates imaging mass spectrometry data at controlled false discovery rate; publicly shared results reached over 3200 datasets and 6 million metabolite images by January 2019.

Network analysis of mass spectrometry imaging data from colorectal cancer identifies key metabolites common to metastatic development.