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Published on: March 2, 2018
Genetic and Protein Network Underlying the Convergence of Rett-Syndrome-like (RTT-L) Phenotype in Neurodevelopmental
Eric Frankel1, Avijit Podder2, Megan Sharifi1
1Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, USA.
Mutations in genes unrelated to Rett syndrome (RTT) cause similar neurological symptoms in RTT-like (RTT-L) patients. This study identifies key genes and regulatory factors involved in RTT and RTT-L, revealing shared biological pathways.
Area of Science:
- Genetics and Molecular Biology
- Neuroscience
- Systems Biology
Background:
- Mutations in the methyl-CpG-binding protein 2 (MECP2) gene cause Rett syndrome (RTT) in girls.
- A subset of patients exhibit Rett-syndrome-like phenotypes (RTT-L) without mutations in known RTT-associated genes.
Purpose of the Study:
- To identify genetic mutations associated with RTT-L phenotypes in patients.
- To construct a comprehensive protein-protein interaction network (PPIN) for RTT and RTT-L genes.
- To uncover shared biological processes and regulatory mechanisms in RTT and RTT-L.
Main Methods:
- Genetic analysis of eight RTT-L patients to identify causative mutations.
- Literature review to annotate RTT-L associated genes.
- Construction and analysis of an integrated protein-protein interaction network (PPIN).
- Functional enrichment analysis and identification of common transcription factor binding sites.
Main Results:
- Identified mutations in genes unrelated to RTT in eight RTT-L patients.
- Constructed a PPIN with 2871 interactions among 2192 proteins linked to RTT and RTT-L genes.
- Functional analysis revealed shared biological processes and identified transcription factors (TFs) as key regulatory motifs.
- HDAC1 and CHD4 were highlighted as central players in the RTT and RTT-L interactome.
Conclusions:
- Genetic heterogeneity underlies RTT-L, involving genes distinct from those in classical RTT.
- The integrated PPIN provides insights into the molecular mechanisms shared between RTT and RTT-L.
- Identifying key regulatory factors like HDAC1 and CHD4 offers potential therapeutic targets for these complex neurological disorders.
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