🧬 Comprehensive Bioinformatics Analysis of the Human PTEN Gene and Protein

An integrated in silico bioinformatics study investigating the genomic organization, protein structure, molecular interactions, functional enrichment, disease association, and clinical relevance of the human PTEN gene.

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📖 Project Overview

The Phosphatase and Tensin Homolog (PTEN) gene is one of the most important tumor suppressor genes in humans. PTEN negatively regulates the PI3K/AKT signaling pathway and plays essential roles in cell proliferation, apoptosis, migration, metabolism, and genomic stability. Mutations or loss of PTEN function are associated with numerous cancers and inherited disorders.

This project presents a comprehensive computational analysis of the human PTEN gene and protein using multiple publicly available bioinformatics databases and computational tools. The study integrates genomic, proteomic, structural, functional, and clinical analyses into a single reproducible workflow.

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🎯 Project Objectives

• Retrieve and annotate the human PTEN gene.
• Identify the canonical transcript and protein sequence.
• Perform coding sequence and ORF analysis.
• Analyze protein physicochemical properties.
• Identify conserved functional domains.
• Predict protein secondary and tertiary structures.
• Construct the protein–protein interaction network.
• Perform Gene Ontology and pathway enrichment analyses.
• Investigate disease-associated variants.
• Analyze PTEN expression and survival across cancers.

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🔬 Bioinformatics Workflow

Figure 1. Bioinformatics workflow employed for the comprehensive analysis of the human PTEN gene and protein.

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📊 Analysis Results

1. Gene Annotation

Gene annotation was performed using the NCBI Gene database to determine chromosomal location, transcript information, genomic organization, and reference sequence identifiers.

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2. Open Reading Frame (ORF) Analysis

The canonical coding sequence was analyzed using NCBI ORF Finder to verify the protein-coding region and translation frame.

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3. Protein Structure Prediction

The three-dimensional structure of PTEN was obtained from the AlphaFold Protein Structure Database and examined together with secondary structural information.

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4. Protein–Protein Interaction Network

STRING database analysis identified major PTEN interaction partners involved in PI3K/AKT signaling, apoptosis, cell adhesion, and tumor suppression.

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5. Gene Ontology Enrichment

GO enrichment analysis identified biological processes, molecular functions, and cellular components significantly associated with PTEN.

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6. Pathway Enrichment Analysis

Reactome pathway analysis demonstrated PTEN involvement in signal transduction, apoptosis, immune regulation, and cancer-associated pathways.

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7. Gene Expression Analysis

GEPIA3 analysis compared PTEN expression between tumor and normal tissues across multiple cancer types.

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8. Survival Analysis

Kaplan–Meier survival analysis evaluated the prognostic significance of PTEN expression in human cancers.

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9. Disease Association

ClinVar and OMIM resources were used to investigate disease-associated PTEN variants and their clinical relevance.

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📁 Repository Structure

PTEN-Bioinformatics-Analysis/
│
├── README.md
├── LICENSE
├── RESULTS.md
│
├── data/
│   ├── PTEN_gene_information.txt
│   ├── PTEN_CDS.fasta
│   ├── PTEN_protein_sequence.fasta
│   ├── ProtParam_results.txt
│   ├── STRING_network_statistics.txt
│   ├── GO_enrichment_results.csv
│   ├── Reactome_pathways.csv
│   └── GEPIA_expression_summary.txt
│
├──docs/
|    ├── project_summary.md
|    └── references.md
│
└── images/
    ├── repository_banner.png
    ├── workflow.png
    ├── gene_annotation.png
    ├── ORF_analysis.png
    ├── protein_structure.png
    ├── PPI_network.png
    ├── GO_enrichment.png
    ├── pathway_analysis.png
    ├── gene_expression.png
    ├── survival_analysis.png
    └── disease_association.png

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🛠️ Bioinformatics Databases and Tools

Database / Tool	Purpose
NCBI Gene	Gene annotation
Genome Data Viewer (GDV)	Genomic visualization
RefSeq	Canonical transcript and CDS
UniProt	Protein sequence retrieval
ORF Finder	Open Reading Frame analysis
ExPASy ProtParam	Physicochemical characterization
Conserved Domain Database (CDD)	Conserved domain identification
AlphaFold Protein Structure Database	Protein structure prediction
DSSP	Secondary structure analysis
STRING	Protein–protein interaction analysis
ShinyGO	GO enrichment analysis
Reactome	Pathway enrichment
OMIM	Disease information
ClinVar	Variant interpretation
Therapeutic Target Database (TTD)	Therapeutic relevance
GEPIA3	Expression and survival analysis

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📂 Supporting Files

The repository also includes:

• PTEN nucleotide coding sequence (CDS)
• Canonical PTEN protein FASTA sequence
• ProtParam physicochemical analysis
• STRING interaction statistics
• GO enrichment results
• Reactome pathway summary
• GEPIA expression summary
• Comprehensive project summary

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References

See References for the databases, tools, and scientific literature used in this analysis.

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📄 Project Summary

A detailed project summary is available in:

docs/project_summary.md

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🚀 Future Scope

Potential future extensions include:

• Comparative genomics
• Molecular docking
• Molecular dynamics simulation
• Evolutionary analysis
• RNA-seq integration
• Machine learning-based variant prediction

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👨‍🔬 Author

Soumojit Ghosh

B.Sc. Biotechnology
St. Xavier's College, Burdwan

GitHub Profile: https://github.com/soumojitghosh3706-source

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📜 License

This project is licensed under the MIT License.