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RBP Image Database: A resource for the systematic characterization of the subcellular distribution properties of
Louis Philip Benoit Bouvrette1,2, Xiaofeng Wang1, Jonathan Boulais1
1Institut de Recherches Cliniques de Montréal (IRCM) Montréal, Québec, Canada.
Nucleic Acids Research
|November 2, 2022
Summary
The RBP Image Database maps the cellular locations of 301 RNA binding proteins (RBPs) using advanced imaging. This resource aids in understanding RBP functions in gene regulation and disease.
Area of Science:
- Molecular Biology
- Cell Biology
- Genomics
Background:
- RNA binding proteins (RBPs) are crucial regulators of gene expression, influencing RNA metabolism.
- Understanding RBP subcellular localization is key to deciphering their roles in cellular processes and disease.
- Post-transcriptional gene expression steps occur in specific cellular compartments, necessitating knowledge of RBP distribution.
Purpose of the Study:
- To create a comprehensive database detailing the subcellular localization of 301 human RNA binding proteins (RBPs).
- To provide a valuable resource for researchers investigating RBP functions in cellular physiology and disease.
- To facilitate the study of RNA biology by offering detailed localization data.
Main Methods:
- Systematic immunofluorescence studies were performed on HepG2 and HeLa cell lines.
- A validated collection of RBP antibodies and 12 organelle/subcellular structure markers were utilized.
- High-throughput microscopy generated approximately 250,000 images for analysis.
Main Results:
- The RBP Image Database was established, featuring detailed subcellular localization for 301 RBPs.
- Comprehensive image data and a manually curated controlled vocabulary for annotations are included.
- A user-friendly interface allows efficient querying of RBP localization data.
Conclusions:
- The RBP Image Database serves as a unique and valuable resource for the scientific community.
- It enhances the understanding of RNA binding protein functions by providing critical localization information.
- The database supports research into RNA metabolism, cellular function, and disease etiology.
