Coregulation mapping based on individual phenotypic variation in response to virus infection
2010

Mapping Gene Regulation in Response to Virus Infection

Sample size: 145 publication 10 minutes Evidence: moderate

Author Information

Author(s): Nudelman German, Ge Yongchao, Hu Jianzhong, Kumar Madhu, Seto Jeremy, Duke Jamie L, Kleinstein Steven H, Hayot Fernand, Sealfon Stuart C, Wetmur James G

Primary Institution: Mount Sinai School of Medicine

Hypothesis

Can gene expression variations among individuals infected with Newcastle Disease Virus be explained by shared transcription factors?

Conclusion

The study developed a methodology that effectively maps gene co-regulation in response to virus infection, revealing significant correlations among specific gene clusters.

Supporting Evidence

  • The study identified 34 key regulator genes involved in the immune response to NDV.
  • Significant positive correlations were found between gene expression levels and transcription factor sharing.
  • Two clusters of transcriptionally co-regulated genes were identified.
  • An interactive web tool called CorEx was developed to facilitate further research.

Takeaway

Scientists looked at how different people's genes reacted to a virus and found that some genes work together more closely than others.

Methodology

The study used multidimensional scaling and transcription factor enrichment analysis to investigate gene expression correlations among 34 genes in dendritic cells from 145 human donors infected with Newcastle Disease Virus.

Potential Biases

Potential bias from the NDV correction procedure affecting gene expression measurements.

Limitations

The sample of measured genes was small and further reduced by experimental uncertainties and filtering.

Participant Demographics

145 human donors were included in the study.

Statistical Information

P-Value

0.0003

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1745-7580-6-2

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