dripARF

dripARF analyzes rRNA fragments from Ribo-Seq experiments to detect ribosomal heterogeneity and infer differential ribosomal protein incorporation across samples.

Key Features:

• Detection of Differential Ribosomal Protein Incorporation: Uses Ribo-Seq rRNA fragment signals to identify variations in ribosomal protein (RP) incorporation that may confer selective mRNA translation.
• Utilization of rRNA Fragment Data: Leverages rRNA fragment reads typically discarded as 'waste' in Ribo-Seq to predict variations in ribosome composition within the studied material.
• Integration with Ribosomal Structure Knowledge: Maps rRNA fragment-derived signals onto the known 3D structure of the human ribosome to inform predictions of compositional changes.
• Validation and Application: Validated on publicly available Ribo-Seq datasets and implicated specific ribosomal proteins, including eS25/RPS25, in biological processes such as development.

Scientific Applications:

• Exploration of Ribosome Heterogeneity: Characterizes ribosome composition variability across tissues using Ribo-Seq rRNA fragments.
• Disease and Developmental Research: Identifies candidate ribosomal proteins involved in disease and developmental processes by detecting differential RP incorporation.
• Reanalysis of Existing Data: Enables extraction of ribosome composition insights from published Ribo-Seq datasets by analyzing rRNA fragment data.

Methodology:

Integrates computational analysis of rRNA fragment data from Ribo-Seq with mapping onto the known 3D structure of the human ribosome and validation against publicly available Ribo-Seq datasets.