PhD Scientific Days 2024

Budapest, 9-10 July 2024

Poster Session D - Neurosciences 1.

Screening AAV delivery routes, capsids and promoters for cortex-wide functional and long-term stable access to brain function in large-brain species

Author(s)

Fanni Somogyi1,2, Beatrix Kovacs1,2, Klaudia Csikos1,2, Abel Petik1,3, Domonkos Horvath1,3, Attila B. Dobos1, Lucia Wittner1, Daniel Hillier1,3
1: HUN-REN Research Centre for Natural Sciences
2: János Szentágothai Neurosciences Program, Semmelweis University Doctoral School
3: Faculty of Information Technology and Bionics, Pázmány Péter Catholic University

Text of the abstract

How signals relevant to behavior and cognition are processed within neural circuits, engaging thousands of neurons across multiple brain regions remains a central question. After decades of research, our current understanding of brain-wide neural circuits enabling various brain functions in non-rodent species (e.g., cats, primates) remains limited. In stark contrast, significant progress has been made in dissecting mouse brain function, enabled by the availability of transgenic driver and reporter lines. We set out to emulate the quality and reproducibility of transgenic mouse reporter lines in non-rodent models by establishing a long-term stable gene delivery method that achieves functional protein levels across the brain. We quantified transduction efficiency upon screening a set of constructs in the cat brain. We identified one construct that yields brain-wide labeling upon a single injection. Our result provides a precise, highly reproducible brain-wide transduction method, potentially approximating the qualities attributed to transgenic reporter mouse lines. Using this method, genetically-targeted dissection of both local and brain-wide functional circuits may gain broader application in non-rodent models.

This work was supported by ELKH-POC-2021-026 grant, the Lendület (“Momentum") Programme of the Hungarian Academy of Sciences to DH as well as by project no.129120 that has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the FK18 funding scheme from the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation fund.