Detall

22
feb
Cicle Continuat de Conferències de la FMiCS: "MoNNets: An in vitro bioengineerable model of neuronal ensembles”

Dates:

22-02-2023 a 22-02-2023

Horari:

12h

Organitza:

Facultat de Medicina i Ciències de la Salut i Institut de Neurociències UB

Lloc:

Aula Magna (Campus Clínic)

El 22 de febrer que ve a les 12 h l'Aula Magna del Campus Clínic acollirà el novè dels seminaris del Cicle Continuat de Conferències de la Facultat de Medicina i Ciències de la Salut. 

El seminari es titula: "MoNNets: An in vitro bioengineerable model of neuronal ensembles”  i anirà càrrec d'Ángeles Rabadán, Senior Associated Scientist and  Head of ZeNeuroid (ZeClinics).

Aquest seminari s'adreça a tot el PDI de la Facultat de Medicina i Ciències de la Salut i als centres de recerca de Barcelona i no cal inscripció prèvia per assistir-hi.

A continuació, una breu sinopsi en anglès dels temes que hi abordarà:

"During last years, advances in 3D neuronal cultures, such as brain spheroids and organoids, are allowing unprecedented in vitro access to some of the molecular, cellular and developmental mechanisms underlying brain diseases. However, their efficacy in recapitulating brain network properties that encode brain function remains limited, thereby precluding development of effective in vitro models for complex brain disorders like schizophrenia. To mitigate some of these limitations, we develop and characterize a Modular Neuronal Network (MoNNet) approach that recapitulates specific features of neuronal ensemble dynamics, segregated local-global network activities and a hierarchical modular organization. We utilized MoNNets for quantitative in vitro modelling of schizophrenia-related network dysfunctions caused by highly penetrant mutations in SETD1A and 22q11.2 risk loci. Furthermore, we demonstrate its utility for drug discovery by performing pharmacological rescue of alterations in neuronal ensembles stability and global network synchrony. MoNNets are also suitable for unlimited bioengineerable manipulation regarding network shape, cell composition, or even activity modulation."

 

Us hi esperem!


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