Computational and Experimental Analysis of RAG1/RAG2 in Swine Models

This research provides evolutionary profiling, conservation analysis, and structural modeling data for pig RAG1 and RAG2 proteins, used to develop CRISPR/Cas9 knockout swine models for immunological research. The study integrates computational predictions with in vivo experimental validation to characterize these proteins' roles in V(D)J recombination. The primary data is contained within a 1.7 MB DOCX file.

Use Cases

• Validate evolutionary profiling and conservation analysis predictions for pig RAG1/RAG2 against experimental knockout results.
• Use tertiary structural modeling and protein docking data to guide the design of genome editing targets for creating immunodeficient models.
• Analyze the framework combining computational analyses with experimental validation to assess its utility for future pig immunology and translational studies.

Strengths

• Data underpins the generation of validated RAG1/RAG2 knockout pig models using CRISPR/Cas9 genome editing.
• The integrated framework combines evolutionary profiling, conservation analysis, and structural modeling with in vivo validation.
• Research is recent, with a last update recorded in March 2026.

Limitations

• The core data is presented in a narrative DOCX format (1.7 MB), not a structured, machine-readable table, limiting direct computational analysis.
• No explicit column names, row counts, or sample data are provided, making the dataset's granular structure and size unknown.
• The dataset's focus is specific to pig RAG1/RAG2 characterization, which may limit broader applicability without domain expertise.

Provenance

Source

figshare, authored by Rui Zhang.

Collection Method

Generated through evolutionary profiling, conservation analysis, tertiary structural modeling, protein docking, and experimental validation via CRISPR/Cas9 genome editing.

Freshness

Last updated on 2026-03-25.