There is evidence for a strong genetic component in the etiology of schizophrenia, as demonstrated by family, twin and adoption studies suggesting a heritability of about 80%. There are several approaches in the search for genetic risk factors such as linkage or association studies. Additionally, much effort was done in refining the phenotype including neuropsychology, neurophysiology, imaging or the generation of animal models. Genes becoming associated with schizophrenia have to be tested for functionality including e.g. metabolomics, transcriptomics, proteomics, generation of transgenic mice, analysis of protein-protein interactions, allele-specific RNA expression analysis, analysis of neuronal and stem cell cultures, as well as post mortem studies and behavioral studies in rodents. This amount of data requires complex data analysis. A system's perspective can help in the analysis of the structural and functional complexity of the brain. New tools will be needed for a more complex and systemic view. The systems biology approach could be a pivotal tool in understanding of complex behavior and diseases in future.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1055/s-2008-1081200 | DOI Listing |
Circ Genom Precis Med
January 2025
CARIM School for Cardiovascular Diseases (A.I., S.Z., J.W., B.B., H.J.G.M.C., B.H., M.K., S.V., U.S., M.S.), Maastricht University, the Netherlands.
Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease development. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrial (LA) and right atrial (RA) may provide insight into diseases such as atrial fibrillation.
Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design.
Front Immunol
January 2025
Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and progressive joint destruction. Neutrophil extracellular traps (NETs), a microreticular structure formed after neutrophil death, have recently been implicated in RA pathogenesis and pathological mechanisms. However, the underlying molecular mechanisms and key genes involved in NET formation in RA remain largely unknown.
View Article and Find Full Text PDFFront Genome Ed
January 2025
Key Laboratory of Herbage and Endemic Crop Biology, Ministry of Education, Inner Mongolia University, Hohhot, Inner Mongolia, China.
Virus-induced genome editing (VIGE) technologies have been developed to address the limitations to plant genome editing, which heavily relies on genetic transformation and regeneration. However, the application of VIGE in plants is hampered by the challenge posed by the size of the commonly used gene editing nucleases, Cas9 and Cas12a. To overcome this challenge, we employed intein-mediated protein splicing to divide the transcript into two segments (Split-v1) and three segments (Split-v3).
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Department of Integrated Pulmonology, Fourth Clinical Medical College of Xinjiang Medical University, Urumqi, Xinjiang, China.
Background: Diabetes and chronic obstructive pulmonary disease (COPD) are prominent global health challenges, each imposing significant burdens on affected individuals, healthcare systems, and society. However, the specific molecular mechanisms supporting their interrelationship have not been fully defined.
Methods: We identified the differentially expressed genes (DEGs) of COPD and diabetes from multi-center patient cohorts, respectively.
Introduction: Tuberculosis (TB) poses a significant threat to global health, with millions of new infections and approximately one million deaths annually. Various modeling efforts have emerged, offering tailored data-driven and physiologically-based solutions for novel and historical compounds. However, this diverse modeling panorama may lack consistency, limiting result comparability.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!