Gene Expression Analysis in Models of Cognitive Diseases

by Jonathan Alexis Cortes Silva
Cumulative thesis
Date of Examination:2023-04-06
Date of issue:2023-04-18
Advisor:Prof. Dr. André Fischer
Referee:Prof. Dr. Bernd Wollnik
Referee:PD Dr. Roberto Goya-Maldonado
Referee:Prof. Dr. Tiago Fleming Outeiro
Referee:Prof. Dr. Oliver Wirths
Referee:Dr. Hauke Werner
Sponsor:Deutscher Akademischer Austauschdienst (DAAD)
Persistent Address: http://dx.doi.org/10.53846/goediss-9840

 

 

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Abstract

English

Neuropsychiatric disorders and neurodegenerative diseases have been a subject of significant interest in the scientific community for several reasons. A considerable portion of the population experiences discomfort due to the high prevalence of these disorders (Saarni et al., 2007). Despite a wealth of knowledge regarding the behavioral manifestations of these disorders, understanding the underlying cellular mechanisms remains a major challenge. Furthermore, research has revealed that these diseases are complex and heterogeneous (Wu & Yang, 2022; Young et al., 2018), with individuals who share similar diagnoses often exhibiting diverse responses to treatments and distinct cellular processes. Consequently, there is a pressing need to further investigate the cellular mechanisms that underlie neuropsychiatric and neurodegenerative diseases to develop more effective treatments for affected individuals. In this context, this cumulative thesis developed an analysis of genetic expression in three models of cognitive diseases. An animal model for Major Depression (MD), the APP/PS1-21 as a model for the study of Alzheimer’s disease, and two experiments in hIPSC and BENOS for the study of genetic expression in Floating Harbor Syndrome (FHS).
Keywords: Major Depression; Gene expression; Cognition; Neurodegeneration; Neuropsychiatric; Congenital; Diseases
 
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