Early detection of highly pathogenic viral infections
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The document discusses early detection of viral infections through gene expression analysis. Samples were taken from subjects infected with Lassa virus or Marburg virus over several days. Gene expression levels were measured from the samples. A subset of genes were found to have differential expression 3 days post-exposure, indicating they may serve as early markers of viral infection. Taking multiple samples over time allows analysis of changes in gene expression during the course of infection.
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Early detection of highly pathogenic viral infections
- 1. Early Detection of Highly Pathogenic Viral Infections Ignacio Sanchez Caballero Wednesday, May 1, 13
- 5. Lassa Marburg 17 1 2 3 4 5 6 7 8 9 10 11 120 4 6 3 6 3 15 3 3 3 3 3 Days post-exposure Number of Samples Wednesday, May 1, 13
- 6. οοοο οοο οοο ο οο ο οο οο οο οοοο οοο οοο οοοοο οοοοοοοοο οοοοοοοοοοοο οοοοοοοοοοο οοοοοοοοοοο οο ο ο ο ο οο ο οο ο ο ο ο οο ο ο οο ο ο ο ο ο ο ο ο ο οοοο οοοο οοο οοο οοο οοοο οοοο οοο οοο οοοοοοοο ο οοο οοοοοοοοοοοο οοοοοοοοοοο οοοοοοοοοοο ο ο ο ο ο ο ο οο ο ο οο ο ο ο ο ο ο ο ο ο ο ο ο ο ο ο ο οο ο ο ο ο ο ο οο ο ο οο ο ο ο ο ο ο ο Lassa Marburg Samples taken at the same time have similar gene expression values Wednesday, May 1, 13
- 7. οοοο οοοο οοο οοο οοο οοο οοοο οοο οοο οοο οοοοοο οοοοοοοοο οοοοοοοοοοο οοοοοοοοοοο οο οοο ο ο οο ο ο οο ο οο οο ο ο οο ο ο ο ο οο ο ο οο ο ο ο ο ο ο ο οο ο ο ο ο ο ο ο ο οο ο ο οοο ο ο ο ο ο ο οο ο ο ο ο ο ο ο ο οο ο ο ο οο ο οοοοο οοοοοοο Combined Samples taken at the same time have similar gene expression values Wednesday, May 1, 13
- 9. No change Increase in expression Decrease in expression 30 High expression Low expression Days post-infection Wednesday, May 1, 13
- 10. No change Increase in expression Decrease in expression Probably random Probably significant 30 High expression Low expression Days post-infection Wednesday, May 1, 13
- 11. No change Increase in expression Decrease in expression Probably random Probably significant 30 High expression Low expression Days post-infection Significant high magnitude change Wednesday, May 1, 13
- 12. No change Increase in expression Decrease in expression High expression Low expression Days post-infection Probably random Probably significant Significant high magnitude change 30 Wednesday, May 1, 13
- 13. No change Increase in expression Decrease in expression High expression Low expression Days post-infection Probably random Probably significant Not significant high magnitude change 30 Wednesday, May 1, 13
- 14. No change Increase in expression Decrease in expression High expression Low expression Days post-infection Probably random Probably significant Not significant high magnitude change 30 Wednesday, May 1, 13
- 15. No change Increase in expression Decrease in expression High expression Low expression Days post-infection Probably random Probably significant Significant low magnitude change 30 Wednesday, May 1, 13
- 16. No change Increase in expression Decrease in expression High expression Low expression Days post-infection Probably random Probably significant Significant low magnitude change 30 Wednesday, May 1, 13
- 17. A subset of probes is differentially expressed 3 days post-exposure Wednesday, May 1, 13
- 18. A subset of probes is differentially expressed 3 days post-exposure Wednesday, May 1, 13
- 19. οο οο ο ο ο οο οο οο ο ο ο οοοοο οοοοοοο οοοοοοοο οοοο οοο ο οοοοοοοοοοοοοοοοοοοοοοοοο οοοοοοοοοοοοοοοοοοοοοοοοοοο Wednesday, May 1, 13
- 20. οο οο ο ο ο οο οο οο ο ο ο οοοοο οοοοοοο οοοοοοοο οοοο οοο ο οοοοοοοοοοοοοοοοοοοοοοοοο οοοοοοοοοοοοοοοοοοοοοοοοοοο οο οο ο ο ο οο οο οο ο ο ο οοοοο οοοοοοο οοοοοοοο οοοο οοο ο οοοοοοοοοοοοοοοοοοοοοοοοο οοοοοοοοοοοοοοοοοοοοοοοοοοο Wednesday, May 1, 13
- 21. οο οο ο ο ο οο οο οο ο ο ο οοοοο οοοοοοο οοοοοοοο οοοο οοο ο οοοοοοοοοοοοοοοοοοοοοοοοο οοοοοοοοοοοοοοοοοοοοοοοοοοο οο οο ο ο ο οο οο οο ο ο ο οοοοο οοοοοοο οοοοοοοο οοοο οοο ο οοοοοοοοοοοοοοοοοοοοοοοοο οοοοοοοοοοοοοοοοοοοοοοοοοοο οο οο ο ο ο οο οο οο ο ο ο οοοοο οοοοοοο οοοοοοοο οοοο οοο ο οοοοοοοοοοοοοοοοοοοοοοοοοοο οοοοοοοοοοοοοοοοοοοοοοοοοοοοοοοοο Wednesday, May 1, 13
- 22. Lassa Marburg 4 1 2 3 4 5 6 7 8 9 10 11 120 2 1 Days post-exposure Number of Samples 1 Test data set Wednesday, May 1, 13
- 23. Lassa Marburg 4 1 2 3 4 5 6 7 8 9 10 11 120 2 1 Days post-exposure Number of Samples 1 β Test data set Wednesday, May 1, 13
- 24. Aim 1: Early detection of highly pathogenic viral infections Compare the early transcriptional response of Lassa and Marburgβ Wednesday, May 1, 13
- 25. Aim 1: Early detection of highly pathogenic viral infections Compare the early transcriptional response of Lassa and Marburgβ Identify a set of candidate biomarker genesβ Wednesday, May 1, 13
- 26. Validate the current set of biomarkers using qPCR Aim 1: Early detection of highly pathogenic viral infections Compare the early transcriptional response of Lassa and Marburgβ Identify a set of candidate biomarker genesβ Wednesday, May 1, 13
- 27. Validate the current set of biomarkers using qPCR Compare the differences in using sequencing to measure gene expression Aim 1: Early detection of highly pathogenic viral infections Compare the early transcriptional response of Lassa and Marburgβ Identify a set of candidate biomarker genesβ Wednesday, May 1, 13
- 28. Validate the current set of biomarkers using qPCR Compare the differences in using sequencing to measure gene expression Incorporate additional viruses to the analysis Aim 1: Early detection of highly pathogenic viral infections Compare the early transcriptional response of Lassa and Marburgβ Identify a set of candidate biomarker genesβ Wednesday, May 1, 13
- 29. Aim 2: Visualization of complex biological data Develop a software tool to easily generate interactive plotsβ Wednesday, May 1, 13
- 30. Aim 2: Visualization of complex biological data Develop a software tool to easily generate interactive plotsβ Make generating a dynamic plot as easy as a static one Wednesday, May 1, 13
- 31. Aim 2: Visualization of complex biological data Develop a software tool to easily generate interactive plotsβ Make generating a dynamic plot as easy as a static one Aim 3: Experimental training Develop core skills in experimental virology Wednesday, May 1, 13
- 32. Aim 2: Visualization of complex biological data Develop a software tool to easily generate interactive plotsβ Make generating a dynamic plot as easy as a static one Aim 3: Experimental training Develop core skills in experimental virology Design and carry out experiments to determine viral and host gene function Wednesday, May 1, 13