Prediction and evaluation of Split open reading frames
26 October 2023·
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1 min read
Christina Wrobel (formerly Kalk)

The regulation of RNA translation is crucial for maintaining appropriate protein levels within cells. A novel mechanism which controls RNA translation is via the formation of Split open reading frames (Split-ORFs). These occur in transcripts containing at least two open reading frames, each encoding a part of the same full-length protein. These multiple open reading frames arise from alternatively spliced transcript isoforms. We developed the Split-ORF pipeline, a computational tool that predicts Split-ORFs from transcripts’ sequences and identifies regions unique to the predicted Split-ORF products for evaluation with Ribo-seq data.

Authors
Christina Wrobel (formerly Kalk)
(she/her)
PhD student
A Biochemist by training, I developed a strong interest in data analysis and statistics which led me to pursue a second Master’s degree in Statistics and Data Science. During this time, I also joined the lab as a PhD student. Since then I worked on diverse projects at the intersection of computational biology, bioinformatics and RNA research. My research mainly focuses on RNA translation regulation, aiming to uncover the mechanisms that control protein production in cells and how these processes differ across cell types, conditions, and disease states.