Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with...

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Exitron splicing (EIS) events are increasingly recognized as crucial in cancer development.
• These splicing events can alter protein function, potentially driving tumorigenesis.
• EIS has emerged as a significant source of tumor-specific neoantigens.

Purpose of the Study:

• To describe an integrated protocol for the identification of exitron splicing events.
• To outline a method for predicting neoantigens derived from EIS using RNA-seq data.
• To provide a comprehensive guide for researchers in cancer genomics.

Main Methods:

• Utilizing RNA sequencing (RNA-seq) data for comprehensive analysis.
• Implementing a step-by-step protocol from data acquisition to neoantigen prediction.
• Leveraging bioinformatics tools for the identification and characterization of EIS.

Main Results:

• The protocol enables robust identification of EIS events in cancer.
• The method facilitates the prediction of EIS-derived neoantigens.
• This approach offers a standardized workflow for cancer neoantigen discovery.

Conclusions:

• The described protocol provides a valuable resource for cancer research.
• Identifying EIS and associated neoantigens can advance cancer diagnostics and therapeutics.
• This integrated approach enhances the understanding of cancer-specific molecular alterations.