1. Lecture 5: Challenges in the post- genomic era The tiger leg leaf frog Photo: Zig Leszccynski Image: courtesy Rainforest Alliance

2. Are genome projects the end?

3. http://www.sanger.ac.uk/PostGenomics/

4. Functional genomics (A) Identifying genes from the sequence (B) Gene expression profiling (transcriptomics) (C) Model systems Proteomics Systems biology Post-genomics

5. (A) Hunting genes from the sequence 2 broad approaches 1)Ab initio method (computational)  Codon analysis  Regulatory regions (TF binding sites, CpG islands etc)  Exon-intron boundaries 2) Experimental method  Hybridisation approaches – Northern Blots, cDNA capture / cDNA select, Zoo blots  Transcript mapping: RT-PCR, exon trapping etc

6. Northern BlotZoo Blot

7. Transcriptome complete collection of transcribed elements of the genome (global mRNA profiling) transcriptome maps provide clues on Regions of transcription Transcription factor binding sites Sites of chromatin modification Sites of DNA methylation Chromosomal origins of replication (B) Gene expression profiling

8. The transcriptome Advantages: high-throughput information Gene expression profile of the cell/tissue problems false –positives data analysis Cost Analysed by DNA Microarrays

9. Microarrays….

10. gene inactivation methods (knockouts, RNAi, site- directed mutagenesis, transposon tagging, genetic footprinting etc) Gene overexpression methods (knock-ins, transgenics, reporter genes) (C) MODEL SYSTEMS

11. RNAi RNAi mimics loss-of- function mutations Non-inheritable Lack of reproducibility

12. How does RNAi work? http://www.nature.com/focus/rnai/animations/ index.html

13. Gene overexpression methods (knock-ins, transgenics, reporter genes etc) MODEL SYSTEMS

14. Proteomics Nature (2003) March 13: Insight articles from pg 194 Analysis of protein expression Protein structure and function Protein-protein interactions

15. Proteomics Proteome projects - co-ordinated by the HUPO (Human Protein Organisation) Involve protein biochemistry on a high- throughput scale Problems  limited and variable sample material,  sample degradation,  abundance,  post-translational modifications,  huge tissue, developmental and temporal specificity as well as disease and drug influences. Nature (2003) March 13: Insight articles from pgs 191-197.

16. Approaches in proteomics Nature (2003) March 13: Insight articles from pgs 191-197. High throughput approach 1)Mass- spectrometry 2) Array based proteomics 3)Structural proteomics

17. High throughput approaches in proteomics 1)Mass spectrometry-based proteomics: Nobel prize in Chemistry (2002) John B. Fenn "for the development of methods for identification and structure analyses of biological macromolecules" "for their development of soft desorption ionisation methods for mass spectrometric analyses of biological macromolecules" "for his development of nuclear magnetic resonance spectroscopy for determining the three-dimensional structure of biological macromolecules in solution Koichi Tanaka Kurt Wüthrich

18. High throughput approaches in proteomics 1) Mass spectrometry-based proteomics: relies on the discovery of protein ionisation techniques. used for  protein identification and quantification,  profiling,  protein interactions and  modifications. Nature (2003) March 13: Insight articles from pgs 191-197

19. two dimensional gels and mass spectrometry Identification of proteins in complex mixtures

20. 19_09.jpg two dimensional gels

21. Mass spectrometry (MS) Nature (2003) March 13: Insight articles from pgs 191-197

22. ionizer source: converts analyte to gaseous ions mass analyser: measures mass-to-charge ratio (m/z) detector: registers the number of ions at each m/z Principle of MS

23. Types of ionizer sources Nature (2003) March 13: Insight articles from pgs 191-197. Electrospray ionisation (ESI) matrix-assisted laser desortion/ionisation (MALDI) MALDI-MS - simple peptide mixtures whereas ESI-MS - for complex samples.

24. 2) Array-based proteomics Nature (2003) March 13: Insight articles from pgs 191-197. Based on the cloning and amplification of identified ORFs into homologous (ideally used for bacterial and yeast proteins) or sometimes heterologous systems (insect cells which result in post-translational modifications similar to mammalian cells). A fusion tag (short peptide or protein domain that is linked to each protein member e.g. GST) is incorporated into the plasmid construct.

25. Array based proteomics…. Nature (2003) March 13: Insight articles from pgs 191-197. a. Protein expression and purification b. Protein activity: Analysis can be done using biochemical genomics or functional protein microarrays. c. Protein interaction analysis two-hybrid analysis (yeast 2-hybrid), FRET (Fluorescence resonance energy transfer), phage display etc d. Protein localisation: immunolocalisation of epitope-tagged products. E.g the use of GFP or luciferase tags

26. Array based proteomics…. Nature (2003) March 13: Insight articles from pgs 191-197. Protein chips Antibody chips – arrayed antibodies Antigen chips – arrayed antigens Functional arrays – arrayed proteins Protein capture chips – arrayed capture agents that interact with proteins e.g. BIAcore Solution arrays – nanoparticles

27. 19_14.jpg 3) Structural proteomics 8HDF / MTHF? FAD Modelling of a novel photolyase based on sequenceWinnie Wu

28. Identification of protein- protein interactions affinity capture/mass spectrometry Fig. 10. 31

29. Identification of protein-protein interactions Phage display Fig. 10.32

30. Systems Biology the global study of multiple components of biological systems and their interactions –Sequencing genomes –High-throughput platform development –Development of powerful computational tools –The use of model organisms –Comparative genomics New approaches to studying biological systems

31. 19_20.jpg

32. Six steps in systems approach Formulate computer based model for the system Discovery science to define as many of the system’s elements as possible Perturb the system genetically or environmentally Integrating levels of information from perturbations Formulate hypothesis to explain disparities between model and experimental data Refine the model after integrating data

33. Nitin S. Baliga et al. Genome Res. 2004; 14: 1025-1035 Systems biology approach to studying how Halobacterium NRC-1 transcriptome responds to uv radiation

34. Challenges for the future – ‘ Genomics – CNV’s in medicine ‘Physiome’ Translational medicine

35. General Reading –Chapter 19- HMG3 by Strachan and Read Reference Science 9 Feb 2007 Vol. 315. no. 5813, pp. 848 – 853 (CNV report) Nature (13 March 2003). Proteomics insight articles from Vol. 422, No. 6928 pgs 191-197 Crit Rev Biotechnol. 2007 Apr-Jun;27(2):63-75 (good current review on challenges in transcriptomics /proteomics) Resource: http://www.sanger.ac.uk/PostGenomics/