crisscrosslinkeR
crisscrosslinkeR maps and visualizes protein–protein and protein–RNA crosslinks from crosslinking mass spectrometry (XL-MS) to enable comprehensive analysis of ribonucleoprotein complexes.
Key Features:
- Integration of diverse crosslinking data: Integrates XL-MS outputs from different crosslinking methods and software packages to enable combined analysis of protein–protein and protein–RNA interactions.
- Crosslinking approach compatibility: Supports handling of multiple crosslinking approaches to reconcile heterogeneous XL-MS datasets.
- Visualization export: Generates output files compatible with external visualization software for creation of publication-quality figures.
Scientific Applications:
- Ribonucleoprotein interaction mapping: Enables unbiased detection and mapping of protein–protein and protein–RNA interactions within ribonucleoprotein complexes using XL-MS data.
- RNA biology and gene regulation studies: Supports analysis of interaction networks relevant to RNA processing, regulation, and function.
- Protein complex characterization: Facilitates structural and functional investigation of protein complex formation via detected crosslink sites.
Methodology:
Processes crosslinking mass spectrometry (XL-MS) data to identify crosslink sites where proteins interact with each other or with RNA, and reconciles datasets from different crosslinking methods and analysis software.
Topics
Details
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/18/2021
Operations
Publications
Gail EH, Shah AD, Schittenhelm RB, Davidovich C. crisscrosslinkeR: identification and visualization of protein–RNA and protein–protein interactions from crosslinking mass spectrometry. Bioinformatics. 2020;36(22-23):5530-5532. doi:10.1093/bioinformatics/btaa1043. PMID:33346827.
PMID: 33346827
Funding: - Australian Research Council: DP190103407
- NHMRC: APP1162921, APP1184637