Proteomics; Just another name for biochemistry?
                                     
                                    Dr Pamela Greenwell
                                    Molecular and Medical Microbiology Research Group 
                                    School of Biosciences
                                    University of Westminster
                                    115, New Cavendish Street
                                    London W1 W6UW.
                                    Email: greenwp@wmin.ac.uk
                                     
                                     
                                     
                                    The growth of the “omics”  technologies has many people imaging we are just giving “sexy” names for
                                    boring, old-fashioned technology. Who would dispute that genomics is just genetics and molecular biology, “glycomics”
                                    is the study of glycosylation or that “metabolomics “ is simply the study of 
                                    metabolic pathways? Surely then, proteomics is just biochemistry.  Indeed,
                                    I have told my students that we are studying proteomics as they turn off  at the
                                    mere mention of the word  biochemistry. 
                                    But is proteomics simply biochemistry?
                                     
                                    The answer is a resounding NO!  Proteomics
                                    is a mixture of traditional biochemistry and the use of web based bioinformatics tools. 
                                    It enables us to understand and visualise protein structure, function, interaction and expression.  This is really the traditional biochemistry aspect. However, in addition, it gives us the opportunity,
                                    using bioinformatics, to predict the biochemical properties, structure and functions of proteins that have been derived from
                                    translation of the cloned nucleotides or PCR products.  Indeed, the output of
                                    most genome projects has been random gene sequences whose function and identity has been derived using bioinformatics tools.
                                    
                                     
                                    So what can I do? If we go to Genome Japan (http://www.genome.ad.jp) and open BLAST (Basic Local Alignment Search Tool) . We can then take a small segment of DNA or protein
                                    sequence we have isolated and compare that to every one of the billions of known sequences lodged  in databases worldwide. The results are available within minutes! Analysis of homology with other proteins
                                    will then help us identify our protein. If we then go to the Expasy Proteomics Server (http://us.expasy.org/), simply by typing the name of the protein of interest we can access the TrEBML data set for the protein
                                    in which you can find links to the protein sequence, the nucleotide sequences with any known variants, function, subcellular
                                    location, tissue specificity, polymorphisms, disease associations, similarities to other proteins and, for some proteins their
                                    web site, for example www.albumin.org . Scrolling down reveals access to projected 2D PAGE analysis, 3D structures, domain structure, post-translational
                                    modifications, the protein sequence, every known variant  with references, the
                                    ability to calculate pI and mass and access to BLAST which allows you to compare this protein to every other protein known.
                                    
                                     
                                     
                                    Now is the stage at which to point out that it isn’t always so simple. In some
                                    organisms, there are genes and proteins that have no significant homology to any other protein identified. For these, we can
                                    ask questions, via web based tools as to whether the sequence is likely to be membrane bound, does it have motifs like any
                                    other type of protein.  However, there are some proteins whose properties and
                                    functions will only be known when they are purified and assayed by traditional technology. 
                                    Nevertheless, you should go to the Expasy Server and see what is available,  I
                                    hope it will amaze you. Be warned, it is addictive and you can spend many happy hours at your computer rather than at the
                                    bench.
                                     
                                    So, what else is available?  If you teach,
                                    the KEGG: Kyoto Encyclopedia of Genes and Genomes available at Genome Japan  gives
                                    links to the  KEGG protein network which in turn links to  metabolic pathways, regulatory pathways, molecular complexes, network-network relations, network-environment
                                    relations and diseases. The metabolic pathway pages alone are fascinating, allowing you to explore generic pathways and then
                                    the same pathway in your organism of choice, highlighting the differences. A visit to the Human Protein Reference Database
                                    (http://www.hprd.org/) will allow you, ultimately, to find information on every known human protein, protein localisation and
                                    tissue specific expression. A simple click will then take you to all the known information on that protein. This site is still
                                    collating information, but, even now it is an impressive resource.  Protein   microarray databases are now available at the European Bioinformatics Institute
                                    http://www.ebi.ac.uk/Databases/microarray.html and here you can visualise some of the many available microarray datasets. There are also pages with
                                    links to all the important databases, for example http://www.biol.rug.nl/mbp/ListDatabases.htm#PD. The internet also has allows access to on-line tutorials that will help you realise the potential of
                                    proteomics (see footnote)
                                     
                                     
                                    Proteomics and bioinformatics are being used extensively by pharmaceutical  companies interested in drug targets and modelling potential protein-drug interaction. Microarray technology
                                    is proving to be a fast primary screen for drugs and ligands. In vaccinology, potential targets are being found using a combination
                                    of traditional biochemistry and proteomics.  Modelling studies are allowing refinements
                                    of drugs and ligands to improve binding characteristics.  Protein microarrays
                                    are also finding a place in the analysis of antibodies in a variety of context, for example in the understanding of antibody-antigen
                                    binding, analysis of antibody variants to determine and improve specificity and  
                                    in auto-immune disease for the identification of antigen targets.
                                     
                                     
                                    In microbiology, comparative
                                    genome analysis (http://www.webact.org/)  allows us to visualise potential areas associated with
                                    pathogenicity by comparing pathogenic and non-pathogenic strains. 
                                     
                                    In the hunt for surrogate disease
                                    markers of cancer, a range of traditional biochemical techniques, such as chromatography and 2D PAGE  can allow us to determine whether the production  of individual  proteins are up or down regulated, whether some proteins are not expressed post mutation
                                    or whether there are  novel proteins associated                                                        
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
                                     
                                     
                                    Will proteomics replace “wet
                                    “ science. The answer must be no, as the databases are reliant on information produced by the traditional “wet”
                                    approach.  There are also drawbacks to predicting structure, pI and mass as if
                                    your protein is heavily glycosylated for example, the real values will not reflect those obtained for the simple polypeptide
                                    chain. However, proteomics will enhance “wet” science, providing rapid assessments, screening and novel technologies.
                                    In my opinion, now is the time to start exploring!
                                     
                                    If you would like to run through
                                    tutorials, access references or attend courses or meetings on proteomics, information can be obtained by going to our proteomics
                                    tutorial website. http://www.mydocsonline.com/pub/greenwp/proteomics