Juan Botas

The paper maps protein interaction network remodeling in a mouse tauopathy model using multi-omics and machine learning, identifying key complexes involved in early disease phenotypes.

The paper identifies CXXC4 as an epigenetic target that can restore DRD1 striatal neuron activity in Huntington disease by leveraging age-related gene patterns.

This study identifies MeCP2's interaction with the super elongation complex and shows it regulates transcription by modulating RNA polymerase II binding and gene expression.

This study identifies nervous system requirements for Alzheimer's disease risk genes in Drosophila by analyzing gene function and neurodegeneration.

The paper identifies striatum-selective molecular interactions of huntingtin using multi-epitope assays and models, revealing its role in transcriptional regulation and disease mechanisms.

This study uses a cross-species approach to identify gene expression networks linked to Alzheimer's disease pathology and neurodegeneration.

This paper investigates the role of the Drosophila ABCD1 ortholog in peroxisomal dynamics and shows that human ABCD1 overexpression inhibits peroxisomal biogenesis.

The paper uses single-cell RNA-sequencing in Drosophila to show that tau pathology and aging affect different cell types, with tau primarily impacting excitatory neurons and glia.

SPA-STOCSY is an automated tool for identifying annotated and non-annotated metabolites in NMR spectra, showing high accuracy and efficiency in both synthetic and real data.

The paper identifies genetic modifiers of alpha-synuclein-mediated neurodegeneration by screening fly homologs of lysosomal storage disorder genes.

The paper shows that reducing glial genes involved in synaptic function reduces disease pathology and behavioral issues in a Drosophila Huntington's Disease model.