OKC Grand Rounds 2009


Published on

  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

OKC Grand Rounds 2009

  1. 1. Sean Davis, M.D., Ph.D. Genetics Branch, Center for Cancer Research National Cancer Institute National Institutes of Health Genomics for Pediatrics An Overview of Technologies for Observing the Human Genome
  2. 4. The Human Genome Project
  3. 5. The Central Dogma
  4. 6. phenotype Gene Copy Number Sequence Variation Chromatin Structure and Function Gene Expression Transcriptional Regulation DNA Methylation Patient and Population Characteristics
  5. 7. Overview <ul><li>Microarrays </li><ul><li>Gene expression
  6. 8. Comparative genomic hybridization
  7. 9. Tiling arrays and data integration </li></ul><li>Next-generation sequencing </li><ul><li>DNAse-Seq application </li></ul></ul>
  8. 10. Normal Karyotype Tumor Karyotype
  9. 11. Hybridization <ul><li>Highly robust propensity of nucleic acid polymers to form dimers with known base pairings
  10. 12. Integral to life as we know it
  11. 13. Can be leveraged to build systems for interrogating biologic processes </li></ul>
  12. 14. ~30,000 genes 1 2 3 4 5
  13. 15. DNA Microarrays <ul><li>Gene Expression </li><ul><li>RNA hybridized to DNA, one spot per array </li></ul></ul>
  14. 16. Gene Expression Microarrays Golub et al., Science 286:531-537. (1999). Spellman et al., Molecular Biology of the Cell 9, 3273-3297. (1999).
  15. 17. <ul><li>Ductal Carcinoma In Situ
  16. 18. Breast cancer precursor or benign lesion?
  17. 19. Histologic grading used to help define treatment
  18. 20. Low grade and high grade clear-cut, but intermediate grade problematic </li></ul>
  19. 21. DNA Microarrays <ul><li>Gene Expression </li><ul><li>RNA hybridized to DNA, one probe per gene
  20. 22. RNA hybridized to DNA, multiple probes per gene
  21. 23. RNA hybridized to DNA, one or more probes per exon </li></ul></ul>
  22. 24. DNA Microarrays <ul><li>Gene Expression
  23. 25. Comparative Genomic Hybridization (CGH) </li><ul><li>Genomic DNA hybridized to DNA
  24. 26. Useful for determining relative copy number of DNA across the entire genome
  25. 27. Not useful (directly) for determining genome structure </li></ul></ul>
  26. 28. Array Comparative Genomic Hybridization (aCGH) Tumor DNA Normal DNA Hybridize (Tumor Suppressors) (Oncogenes) Normal Copy Number DNA Loss Amplification
  27. 29. Tumor Chromosome Normal Chromosome
  28. 30. A Genome View of Copy Number
  29. 31. Frequency of Copy Number Changes Summary of copy number changes from 46 breast cancer cell lines
  30. 32. <ul><li>GLI3 mutations and deletions can lead to Greig cephalopolysyndactyly syndrome (GCPS)
  31. 33. Typically requires mutation screening, FISH, and some small deletions may be missed
  32. 34. Use array comparative genomic hybridization to get very high-resolution view of the region </li></ul>
  33. 36. DNA Microarrays <ul><li>Gene Expression
  34. 37. Comparative Genomic Hybridization (CGH)
  35. 38. Single Nucleotide Polymorphisms </li><ul><li>Arrays can be used as a genotyping platform
  36. 39. Again, DNA hybridized to DNA, but designed to detect the differences in hybridization due to a SNP
  37. 40. Can be used for measuring copy number, finding stretches of uniparental disomy, risk alleles for certain conditions, and in linkage and association studies </li></ul></ul>
  38. 41. DNA Microarrays <ul><li>Gene Expression
  39. 42. Comparative Genomic Hybridization (CGH)
  40. 43. Single Nucleotide Polymorphisms
  41. 44. DNA methylation
  42. 45. MicroRNA expression
  43. 46. “Tiling array” applications
  44. 47. Others.... </li></ul>
  45. 48. Tiling Array Technology
  46. 49. Simultaneous Gene Expression and Copy Number on Tiling Arrays Annotated Genes Expression Copy Number, Sample 1 Copy Number, Sample 2 Simultaneous measurement of copy number in two samples and gene expression in one sample overlayed on map of genes in the region
  47. 50. Simultaneous Gene Expression and Copy Number on Tiling Arrays Annotated Genes Expression Copy Number, Sample 1 Copy Number, Sample 2 Increased expression in the small amplicon does not include all genes, giving clues as to the biologically important genes in the region
  48. 51. Simultaneous Gene Expression and Copy Number on Tiling Arrays Annotated Genes Expression Copy Number, Sample 1 Copy Number, Sample 2 Spikes of expression at exons of ERBB2
  49. 52. Simultaneous Expression and Copy Number Copy Number Expression Copy Number Evolutionary Conservation Expression Copy Number Opposite Strand Expression Evolutionary Conservation Expression Copy Number
  50. 53. Growth in Density Over Time And these numbers are from only a single array! <ul>And these numbers are from only a single array! </ul><ul>Excel doesn't work! </ul>2,000 spots, 1997 8,000 spots, 2000 36,000 spots, 2003 85,000 to 390,000 spots, 2004 10,000,000 beads, 2005
  51. 54. Why did the chicken cross the road? Darwin1: It was the logical next step after coming down from the trees. Darwin2: The fittest chickens cross the road.
  52. 55. Sequencing <ul><li>Why use hybridization, which is just a measure of sequences, correct? </li><ul><li>Sequencing is costly, time- and labor-intensive, and inefficient </li></ul><li>Next-generation sequencing technology changes the equation such that sequencing can be more efficient, cheaper, and less time- and labor-intensive than hybridization-based methods like microarrays </li></ul>
  53. 59. Next-generation Sequencing
  54. 61. Chromatin <ul><li>Chromatin is the complex of protein and DNA that make up the chromosomes. It is not a static structure. </li></ul><ul><li>The nucleosomes are the basic building blocks of chromatin structure. Their positioning on the genome and the regulation of their placement is not well described. </li></ul>
  55. 62. <ul><li>DNAse is an enzyme that cuts DNA at locations where DNA is accessible
  56. 63. These “accessible” regions have been associated with open chromatin
  57. 64. Regions of open chromatin are necessary for transcriptional and regulatory machinery to have access to gene neighborhoods and facilitate transcription </li></ul>
  58. 65. DNAse Hypersensitivity <ul><li>Method for finding regions of “open” chromatin
  59. 66. In data published with the ENCODE consortium, DNAse hypersensitive (HS) were shown to be correlated with: </li><ul><li>Histone modification
  60. 67. Transcription start sites
  61. 68. Early replicating regions
  62. 69. Transcription factor binding sites (experimentally determined by ChIP/chip, etc.) </li></ul></ul>Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. The ENCODE Consortium. Nature , 2007.
  63. 70. DNAse-Seq Method Crawford, G.E., Davis, S., Scacheri, P.C., Renaud, G., Halawi, M.J., Erdos, M.R., Green, R., Meltzer, P.S., Wolfsberg, T.G., and Collins, F.S. Nat Methods , 2006
  64. 74. <ul><li>Distances between sequences in non-DNAse HS regions have an oscillating pattern with frequency that corresponds to a single turn of the double-helix
  65. 75. DNAse is known to cut preferentially in the minor groove, which is exposed every 10.4 bases when wrapped around a nucleosome
  66. 76. A nucleosome is wrapped by 147 base pairs when complexed with DNA
  67. 77. Implication: Nucleosomes are positioned in a highly organized, precise manner </li></ul>Nucleosome Positioning
  68. 79. Phenotype Gene Copy Number Sequence Variation Chromatin Modification Gene Expression Transcriptional Regulation DNA Methylation
  69. 80. Public Data <ul><li>NCBI Gene Expression Omnibus (GEO) </li><ul><li>250,000 microarray experiments already done ! </li></ul><li>NCBI Short Read Archive (SRA) </li><ul><li>Compendium of sequencing experiments utilizing next-generation sequencing technologies </li></ul><li>GWAS databases
  70. 81. Databases of gene and protein function and interactions </li></ul>
  71. 82. Final Thoughts <ul><li>Genomic technologies are rapidly evolving and constantly improving
  72. 83. These technologies will see increasing use in clinical medicine, but such use must be tempered by sound clinical hypotheses and testing
  73. 84. The data generated by many of these technologies necessitates improved clinical, translational, and research information systems </li></ul>
  74. 86. Challenges <ul><li>Most of these technologies are still quite expensive and do not adapt well to clinical laboratory settings
  75. 87. Designing studies that evaluate the operating characteristics of new testing methods is costly and requires the appropriate patient populations
  76. 88. There are many ethical concerns associated with the enormous amounts of personal information that might be gleaned from genomic technologies applied in the clinical setting </li></ul>
  77. 89. The Biggest Challenge? How do we integrate all the disparate pieces of information, collected longitudinally and by many sources, to improve the health of the individual?
  78. 90. Thanks <ul><li>NCI </li><ul><li>Paul Meltzer
  79. 91. Sven Bilke
  80. 92. Yuan Jiang
  81. 93. Bob Walker </li></ul><li>University of Sydney </li><ul><li>Lucy Webster
  82. 94. Rosemary Balleine </li></ul></ul><ul><li>Duke </li><ul><li>Greg Crawford
  83. 95. Terry Furey </li></ul><li>NHGRI </li><ul><li>Julie Johnston
  84. 96. Les Biesecker </li></ul></ul>
  85. 97. One day the zoo-keeper noticed that the orangutan was reading two books - the Bible and Darwin's The Origin of Species. In surprise he asked the ape, &quot;Why are you reading both those books&quot;? &quot;Well,&quot; said the orangutan, &quot;I just wanted to know if I was my brother's keeper or my keeper's brother.&quot; [email_address]
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.