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TALKIEN: crossTALK IntEraction Network. A web-based tool for deciphering molecular communication through
Ferran Moratalla-Navarro1,2,3, Víctor Moreno1,2,3, Rebeca Sanz-Pamplona1,2,4
1Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
TALKIEN visualizes molecular crosstalk by analyzing protein-protein interactions. This R/shiny application aids cancer research by predicting cell-cell communication and identifying potential drug targets.
Area of Science:
- Oncology
- Systems Biology
- Bioinformatics
Background:
- Molecular crosstalk between cells is crucial in cancer progression and treatment response.
- Advanced techniques like single-cell sequencing generate complex data requiring interpretation.
- Understanding cell-cell communication networks is vital for cancer research.
Purpose of the Study:
- To develop an intuitive application for visualizing and analyzing molecular crosstalk.
- To facilitate the interpretation of gene and protein interaction data in cancer.
- To provide a tool for generating in silico predictions of cell-cell communication.
Main Methods:
- TALKIEN (crossTALK IntEraction Network) is an R/shiny web application.
- It takes gene/protein lists as input to build and analyze protein-protein interaction networks.
- Utilizes systems biology methods like centrality measures and pathway analysis.
Main Results:
- TALKIEN visualizes ligand-receptor interactions and downstream pathways.
- The application supports network analysis, functional enrichment, and drug target identification.
- It generates predictions for cell-cell communication based on input data.
Conclusions:
- TALKIEN enables the detection of ligand-receptor interactions for in silico predictions.
- The tool provides a translational rationale for experimental validation in cancer research.
- It offers a user-friendly platform for exploring complex molecular interactions.
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