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> Home  /  Biomedical & Life Sciences  /  Series  /  Eukaryotic Gene Regulation  /  Talk Details
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Epigenetic Information in Gene Expression and Cancer
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    SPEAKER(S)

Prof. Siavash Kurdistani - University of California, Los Angeles, USA

Siavash Kurdistani received his BS in Biochemistry from UCLA (1994) and MD from Harvard Medical School (1999). He was awarded a Howard Hughes Medical Institute Postdoctoral Fellowship for Physicians in 2001. Currently he is an Assistant Professor in the Department of Biological Chemistry at the David Geffen School of Medicine, UCLA.

Talk Online Publication: Oct 2007

TOPICS COVERED IN EPIGENETIC INFORMATION IN GENE EXPRESSION AND CANCER

Types and functions of histone modifications - Histone code hypothesis - Epigenetics and transcription regulation - Relevance for human disease

How to cite this talk:
Kurdistani, S. (2007), "Epigenetic Information in Gene Expression and Cancer", in Carey, M. and Smale, S. (eds), Eukaryotic Gene Regulation: From Chromatin to Transcription to mRNA Processing , The Biomedical & Life Sciences Collection, Henry Stewart Talks Ltd, London (online at http://hstalks.com/bio)

Direct talk access link:
http://hstalks.com/lib.php?t=HST8.1012_1_2&c=252

    DETAILED SLIDE INDEX

1. Intro slide
2. Genome of eukaryotes
3. Crystal structure of a nucleosome core particle
4. Modifications of histones
5. Epigenetics
6. Biology of histone acetylation
7. Acetylation: Structural changes
8. Acetylation: Binding surface
9. Histone lysine methylation
10. Multiple HATs and HDACs in yeast
11. Overlapping functions of HATs and HDACs
12. Information in histone modification patterns
13. Histone info in yeast
14. Histone info in human cells
15. ChIP on chip
16. Representation of acetylation data
17. Average acetylation levels for ORF clusters
18. Biological significance of acetylation clusters
19. Expression levels of acetylation clusters
20. Functional enrichment of acetylation clusters
21. Identification of DNA motifs in acetylation clusters
22. Enrichment of acetylation clusters for transcription
23. Information storage in histone modifications
24. Information storage in human cancer
25. Protocol flowchart
26. Detection of histone modifications in cancer
27. Distribution of staining across all samples
28. Epigenetic clustering of cancer patients
29. Epigenetic information and clinical outcome
30. Best simple rule
31. Validation of simple rule
32. Epigenetic information as prognostic marker
33. Conclusions
34. END