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Data Acquisition Tools & Techniques

Data Acquisition Tools & Techniques. In this presentation……. Part 1 – Sequencing Technology Part 2 – Genomic Databases. Part 1. Sequencing Technology. Principles of DNA sequencing.

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Data Acquisition Tools & Techniques

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  1. Data Acquisition Tools & Techniques

  2. In this presentation…… Part 1 – Sequencing Technology Part 2 – Genomic Databases

  3. Part1 Sequencing Technology

  4. Principles of DNA sequencing • DNA sequencing is performed using an automated version of the chain termination reaction, in which limiting amounts of dideoxyribonucleotides generate nested sets of DNA fragments with specific terminal bases • Four reactions are set up, one for each of the four bases in DNA, each incorporating a different fluorescent label • The DNA fragments are separated by PAGE and the sequence is read by a scanner as each fragment moves to the bottom of the gel

  5. Types of DNA sequencing DNA sequences come in three major forms • Genomic DNA comes directly from the genome and includes extragenic material as well as genes. In eukaryotes, genomic DNA contains introns • cDNA is reverse-transcribed from mRNA and corresponds only to the expressed parts of the genome. It does not contain introns • Recombinant DNA comes from the laboratory and comprises artificial DNA molecules such as cloning vectors

  6. Genome sequencing strategies Only short DNA molecules (~800 bp) can be sequenced in one read, so large DNA molecules, such as genomes, must first be broken into fragments. Genome sequencing can be approached in two ways • Shotgun sequencing involves the generation of random DNA fragments, which are sequenced in large numbers to provide genome-wide coverage • Clone contig sequencing involves the systematic production and sequencing of subclones

  7. Sequence quality control • High quality sequence data is generated by performing multiple reads on both DNA strands • Preliminary trace data is then base called and assessed for quality using a program such as Phred • Vector sequences and repeated DNA elements are masked off and then the sequence is assembled into contigs using a program such as Phrap • Remaining inconsistencies must be addressed by human curators

  8. Single-pass sequencing • Sequence data of lower quality can be generated by single reads (single-pass sequencing) • Although somewhat inaccurate, single-pass sequences such as ESTs and GSSs can be generated in large amounts very quickly and inexpensively

  9. RNA sequencing Most RNA sequencing are deduced from the corresponding DNA sequences but special methods are required for the identification of modified nucleotides. These include biochemical assays, NMR spectroscopy and MS

  10. Protein sequencing • Most protein sequencing is now-a-days carried out by MS, a technique in which accurate molecular masses are calculated from the mass/charge ration of ions in a vacuum • Soft ionization methods allow MS analysis of large macromolecules such as proteins • Sequences can be deduced by comparing the masses of tryptic peptide fragments to those predicted from virtual digests of proteins in databases • Also, de novo sequencing can be carried out by generating nested sets of peptide fragments in a collision cell and calculating difference in mass between fragments differing in length by a single amino acid residue

  11. Importance of protein interactions • They underlie most cellular functions. Protein-protein interactions result in formation of transient or stable multi-subunit complexes • Understanding of these complexes is required for functional annotation of proteins and is a step towards the elucidation of molecular pathways such as signaling cascades and regulatory networks • Protein interactions with nucleic acids form an important area of study, since such interactions are required for replication, transcription, recombination, DNA repair and many other processes. Proteins also interact with small molecules, which act as ligands, substrates, cofactors and allosteric regulators

  12. Genetic methods Suppressor mutant Synthetic lethal effect Dominant negative mutations Affinity methods Affinity chromatography Co-immunoprecipitation Molecular and atomic methods X-ray crystallography NMR spectroscopy Other methods FRET SPR spectroscopy SELDI Library-based methods Y2H system Methods for protein interactions

  13. Other methods • For larger proteins that do not readily form crystals, alternative analytical methods are required to deduce structures • These include X-ray fiber diffraction, electron microscopy and circular dichroism (CD) spectroscopy

  14. Protein structure determination • X-ray crystallography • NMR spectroscopy • Other methods • X-ray fiber diffraction • Electron microscopy • CD spectroscopy

  15. X-ray crystallography • Involves determination of protein structure by studying diffraction pattern of X-rays through a precisely orientated protein crystal • They way in which X-rays are scattered depends on the electron density and spatial orientation of the atoms in the crystal • A mathematical method called the Fourier transform is used to reconstruct electron density maps from the diffraction data allowing structural models to be built

  16. NMR spectroscopy • NMR is a property of certain atoms that can switch between magnetic states in an applied magnetic field by absorbing electromagnetic radiation • The nature of absorbance spectrum is influenced by the type of atom and its chemical context, so that NMR spectroscopy can discriminate between different chemical groups • NMR spectra are also modified by the proximity of atoms in space • Analysis of NMR spectra allows 3D configuration of atoms to be reconstructed, resulting in a series of structural models • The technique is suitable only for the analysis of small, soluble proteins

  17. 2-D gel electrophoresis • The current method for studying proteins consists in part of a technique called two dimensional gel electrophoresis, which separates proteins by charge and size • In the technique, researchers squirt a solution of cell contents onto a narrow polymer strip that has a gradient of acidity. When the strip is exposed to an electric current, each protein in the mixture settles into a layer according to its charge. Next, the strip is placed along the edge of a flat gel and exposed to electricity again. As the proteins migrate through the gel, they separate according to their molecular weight. What results is a smudgy patterns of dots, each of which contains a different protein • In academic laboratories, scientists generally use a tool similar to a hole puncher to cut the protein spots from 2-D gels for individual identification by another method, mass spectroscopy • Now-a-days, companies have started using robots to do it

  18. Part2 Genomic Databases

  19. Types of databases • There are many types of databases available for researchers in the field of biology • Primary sequence databases - for storage of raw experimental data • Secondary databases - contain information on sequence patterns and motifs • Organism specific databases • Other databases

  20. Primary sequence databases • Three primary sequence databases are GenBank (NCBI), the Nucleotide Sequence Database (EMBL) and the DNA Databank of Japan (DDBJ) • These are repositories for raw sequence data, but each entry is extensively annotated and has features table to highlight the important properties of each sequence • The three databases exchange data on a daily basis

  21. Subsidiary sequence databases • Particular types of sequence data are stored in subsidiaries of the main sequence databases. For instance, ESTs are stored in dbEST, a division of GenBank • There are also subsidiary databases for GSSs and unfinished genomic sequence data

  22. Organism specific resource • As well as general databases that serve the entire biology community, there are many organism specific databases that provide information and resources for those researches working on particular species • The number of such databases is growing as more genome projects are initiated, and many can be accessed from general genomics gateway sites such as GOLD

  23. Organism-specific genomic databases

  24. Finding organism-specific databases • Organism specific databases are widely distributed on the Internet • In order to find and interrogate databases on specific organisms, it is necessary to use a gateway site to access relevant databases and information resources • Worked examples are provided, using GOLD as the gateway and illustrated with Ebola virus, the bacterium E. coli, the fruit fly Drosophila melanogaster and the human genome

  25. Useful gateway sites providing information on multiple, organism and genomic resources

  26. Nematode Baker’s Yeast Cells

  27. Other databases • Specialized sequence databases – for storage and analysis of particular types of sequences e.g., rRNA and tRNA, introns, promoters and other regulatory elements • OMIM – for study of human genetics and molecular biology • Incyte and UniGene – for providing gene sequences and transcripts with expert annotation for use in drug design and research • Structural databases – for protein structural data (e.g. PDB, MMDB) – containing X-ray Crys. and NMR studies • Proteins and higher order functions – to store information on particular types of proteins such as receptors, signal transduction components, regulatory hierarchies and enzymes • Literature databases – to store scientific articles with text search facility (e.g. Medline and PubMED)

  28. Database tools for displaying and annotating genomic sequence data

  29. Database formats • There is no universally agreed format for genome databases and several viewers and browsers have been developed with graphical displays for genomic sequence analysis and annotation • One of the most versatile formats is ACeDN (originally designed for the nematode C. elegans), which has an object-oriented database architecture and is now used in many applications outside the field of genomic bioinformatics

  30. Common formats • There are several conventions for representing nucleic acid and protein sequences, of which the following are widely used • NBRF/PIR • FASTA • GDE • These formats have limited facilities for comments, which must include a unique identifier code and sequence accession number

  31. Formats for multiple sequence alignment • There are separate formats for multiple sequence alignment representation, of which the following are popular • MSF • PHYLIP • ALN

  32. Files of structural data • Structural data are maintained as flat files using the PDB format • Such files contain orthogonal atomic co-ordinates together with annotations, comments and experimental details

  33. Submission of sequences • Sequences may be submitted to any of the three primary databases using the tools provided by the database curators • Such tools include WebIn and BankIt, which can be used over the Internet, and Sequin, a stand-alone application

  34. Database interrogation • All the databases discussed above can be searched by sequence similarity • However, detailed text-based searches of the annotations are also possible using tools such as Entrez • The simplest way to cross-reference between the primary nucleotide sequence databases and SWISS-PROT is to search by accession number, as this provides an unambiguous identifier of genes and their products

  35. Databases covered by Entrez

  36. Databases covered by DBGET/LinkDB

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