Cellular Responses to Hemorrhagic Fever Virus Infection
Author Information
Author(s): Bowick Gavin C., McAuley Alexander J.
Primary Institution: University of Texas Medical Branch
Hypothesis
How can analysis of high-throughput datasets reveal cellular responses to hemorrhagic fever virus infection?
Conclusion
The study shows that analyzing high-throughput datasets can uncover important cellular pathways involved in hemorrhagic fever virus infections.
Supporting Evidence
- High-throughput assays provide a large repository of information on cellular responses to infection.
- Network analysis can help place high-throughput datasets into a functional context.
- Identifying transcription factors involved in cellular responses can lead to new therapeutic strategies.
Takeaway
Scientists looked at data from virus studies to understand how our cells react when infected, which can help in finding new treatments.
Methodology
The study used network analysis tools to compare cellular responses in hemorrhagic fever systems through meta-analysis of published high-throughput datasets.
Limitations
The study's findings are based on existing datasets, which may not cover all aspects of cellular responses.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website