Edinson Lucumi Moreno

fluxTrAM automates processing of tracer-based metabolomics data and integrates it with genome-scale metabolic models for flux analysis.

The paper combines epidemiological pesticide exposure data with iPSC-derived dopaminergic neuron screening to identify and classify pesticides linked to Parkinson's disease.

The paper develops genome-scale metabolic models of human dopaminergic neurons to study metabolic dysfunction in Parkinson's disease using exometabolomic and transcriptomic data.

This study investigates neuronal activity in LRRK2-G2019S mutant neurons and finds increased spontaneous calcium transients and shorter inter-spike intervals.

The paper describes an automated microfluidic platform for culturing Parkinson’s disease patient-derived dopaminergic neurons and validates its ability to monitor differentiation and neuronal activity.

This paper introduces a novel method to generate midbrain-specific human organoids from neuroepithelial stem cells, which exhibit dopaminergic neurons, synaptic connections, and myelination, making them suitable for Parkinson's disease research.