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Identification of key pathways and genes responsible for aggressive behavior
Nasir Uddin1, Mushtaq Hussain2, Imran Rauf1
1Department of Computer Science, IBA, Karachi, Pakistan.
Computational Biology and Chemistry
|August 9, 2020
Summary
Researchers constructed a molecular network for aggression, identifying novel genes like UBC and Tp53 involved in protein regulation and transcription, potentially serving as biomarkers for this complex behavior.
Area of Science:
- Neuroscience
- Genetics
- Systems Biology
Background:
- Aggression is a complex behavior influenced by biomolecular interactions.
- A comprehensive molecular network for aggression has not yet been established.
Purpose of the Study:
- To construct a molecular network for aggression using systems network analysis.
- To identify novel genes associated with aggression through network analysis.
Main Methods:
- Recruited 327 genes with evidence for aggression involvement.
- Performed String network analysis to form a network of 275 genes and 2223 edges.
- Utilized MCODE for module delineation and gene ontology clustering, identifying 14 modules.
Main Results:
- The top 5 modules primarily involved neuronal signaling pathways.
- Network analysis of 10 randomly selected genes revealed novel candidate genes.
- Identified genes in protein turnover (UBC, UBA), mitogenic pathways (Rho, Myc), and transcription factors (Tp53) as potentially linked to aggression.
Conclusions:
- The study provides a molecular network resolution for aggression.
- Novel genes associated with aggression were identified, including those in protein turnover and transcription.
- These findings may lead to new biomarkers and therapeutic strategies for aggression.
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