Comparative Transcriptomics Data Profiling Reveals E2F Targets as an Important Biological Pathway Overexpressed in...

Area of Science:

• Neurodevelopmental Disorders
• Genetics
• Bioinformatics

Background:

• Intellectual disability (ID) is a significant neurodevelopmental disorder affecting intellectual functioning and adaptive behaviors.
• Early detection and intervention are crucial as ID develops during fetal stages.
• High-throughput transcriptomic analysis offers a powerful approach for identifying genetic factors in ID.

Purpose of the Study:

• To identify differentially expressed genes (DEGs) in intellectual disability patients.
• To pinpoint upregulated biological processes implicated in ID development.
• To leverage transcriptomic data for early ID detection strategies.

Main Methods:

• Comparative analysis of 7 transcriptomic studies from the National Center for Biotechnology Information (NCBI).
• Quality checking, trimming, and alignment of transcriptomic data.
• Differential gene expression analysis using DESeq2 and EdgeR in Rstudio.
• Functional enrichment analysis via Gene Set Enrichment Analysis (GSEA).

Main Results:

• Identification of specific DEGs associated with intellectual disability.
• Upregulation of biological processes including E2F targets, estrogen metabolism, oxidative phosphorylation, DNA repair, and glycolysis.
• Transcriptomic analysis provides insights into molecular pathways involved in ID.

Conclusions:

• Monitoring gene expression levels related to E2F targets, estrogen, oxidative phosphorylation, DNA repair, and glycolysis can aid in early intellectual disability detection.
• Transcriptomic data analysis is a valuable tool for understanding the genetic underpinnings of ID.
• These findings support the development of novel diagnostic markers for early intervention.