Abstract

Welcome to Innoscience Hungary Ltd, a non-profit research company dedicated to advancing brain disease research through molecular, proteomic, physiological, and electrophysiological methodologies. With decades of experience, we aim to create a high-tech, supportive research ecosystem for graduate students, PhD students and postdoctoral researchers. By combining budget-based and non-budget resources, including private donations and grants, we ensure a stable and productive environment. Our goal is to retain talented researchers in Hungary, counterbalancing the challenges posed by limited funding and technological resources, and ultimately to support the translation of exploratory research results into diagnostic and therapeutic innovation.

Our collaborations and partnerships over the years:

We quantify brain pathology as measurable molecular signatures – synaptic proteome remodeling, mitochondrial/MAM proteostasis shifts, and extracellular peptidome dynamics – captured across regions and disease-relevant perturbations. Our molecular readouts are explicitly designed to map onto physiology and behavior.

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We connect single-neuron physiology to single-cell molecular programs. Our work pairs electrophysiology with ultra-deep single-cell transcriptomics to define cell-type-resolved targets and immune signatures, and includes mechanistic studies of cellular homeostasis pathways in neurons.

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At the developmental level, we study how neural circuits and immune responses evolve over time and under different conditions. The Luminex MAGPIX cytokine assay allows for the multiplexed measurement of cytokines and other immune markers, providing insight into neuro-immune interactions that influence brain development and disease. Together with techniques like microdialysis we can analyze the biochemical environment of the brain, monitoring changes in neurotransmitter and cytokine levels to understand how these factors shape neural development.

At the behavioral level, we quantify how molecular and circuit perturbations translate into learning, memory and exploratory phenotypes in rodents. We combine standardized behavioral paradigms with high-resolution, video-based tracking (e.g., DeepLabCut, SimBa, MoSeq) and automated scoring to obtain reproducible, fine-grained measures of behavior. By integrating these outputs with physiological and molecular readouts, we test mechanistic links between synaptic function and behavior in disease-relevant models.

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