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Molecular & Cellular Proteomics 6:1824-1826, 2007.
© 2007 by The American Society for Biochemistry and Molecular Biology, Inc.


HUPO Views

What Has Proteomics Accomplished?

John J. M. Bergeron{ddagger}, and Ralph A. Bradshaw§,

From {ddagger} McGill University, Montreal, H3A 282, Canada and the § University of California, San Francisco, California 94143-0446

The Barbados Principles, which emanated from the Barbados Conference in January 2007 and were reported in HUPO News (1), assigned to Ralph Bradshaw and John Bergeron the task of formulating a statement on "What has proteomics accomplished?" as a way of providing a progress report for the discipline and a guideline for future emphases.

The amazing expansion in proteomics in the last five years is underscored by the number of international meetings, symposia, and workshops and on the growth in the scientific literature focused on this field. This is due in part to a major influx of physicists, chemists, and bioinformaticians who have helped catalyze the development and application of the principal supporting technologies utilized in proteomics research. At the same time, the biological community has made enormous strides in utilizing these tools to execute global analyses of protein expression with concomitant insight into the mechanisms of proteins of unknown function emanating from these analyses. Biologists are becoming comfortable with MS, which is the current backbone of the field, as well as other useful methods for protein separation and identification. Because a significant percentage of the genes in any genome are of unknown function, this remains a major challenge for proteomics, and it will, in turn, have a key role to play in filling these gaps in our knowledge. Budding yeast have been a surrogate model for the eukaryotic kingdom, and it is not surprising that the first comprehensive proteomics analyses have come from studies with yeast.

The expression products of genes readily detected by a Western blot approach, as well as tagged versions of proteins made from corresponding open reading frames, have given a global analysis of protein expression (2). MS initially lagged behind the Western blot approach but is now able to match and even exceed it utilizing new quantitation technologies, as reported by Matthias Mann at a recent meeting in San Francisco (3) and in an article (4). That this is accomplished in a single MS experiment, as opposed to the 6,000 separate experiments for the Western blot data, is an amazing testimonial to the tremendous progress in current mass spec-based technology and data analysis.

Just as Magellan was the first to circumnavigate the globe with all the uncertainty of the resulting maps to document the voyage, navigation of the global protein-protein interaction networks in yeast has been one of the unassailable accomplishments of proteomics. As reported in these pages previously, from the HUPO congress highlights in Long Beach (5), there is only a small proportion (about 25%) of overlap between the two major efforts to accomplish this monumental journey through the yeast interactome (6, 7). However, considerable new insight into the biology emanating from these networks has been realized. This has especially been due to the superimposition of these interaction networks on global approaches to identify pathways by synthetic lethal screens. Here, the characterization of genes whose knock-out may be subtle or nonessential when coupled with the knock-out of another nonessential gene enables further insight into protein function (8). Striking biological discoveries are stemming from these approaches (e.g. Refs. 911). As the value and credibility (12) of this resource grows, these "gold" mines of data bases will undoubtedly lead to further discoveries. This is a particularly notable achievement of proteomics because the magnitude of protein-protein interactions in cells was simply grossly underestimated, if appreciated at all.

As opposed to these large scale efforts, the generation of individual protein complexes by specific and careful sample preparation has also led to biological insight wherein MS is again the preferred technology to characterize these individual protein complexes. Two such efforts may be indicated as a sample of such discoveries. Using ICAT technology, the lab of Aebersold reported a new subunit of the RNA polymerase II complex (13). The detection of this subunit was at the limit of the technology of the time. Its importance has grown since the demonstration also by Aebersold and collaborators that this new subunit (TFB5) was mutated in a subset of patients suffering from trichothiodystrophy (14).

A further noteworthy advance has been in the elucidation of proteins in association with mutant CFTR protein that leads to cystic fibrosis. Using a label-free quantitative approach, the Yates group with collaborators could elucidate a comprehensive characterization of all the molecular chaperones retaining CFTR in the endoplasmic reticulum (15). Since this leads to degradation of the CFTR protein, the patients suffer and die because of this over stringent quality control machinery in the endoplasmic reticulum. By using RNA interference technology the Yates collaborators, i.e. Balch and Kelly, could selectively remove each of the chaperones uncovered by MS methodology. The removal of one (Aha1) led to the astonishing observation that the mutant CFTR protein would now leave the endoplasmic reticulum and be successfully transported to the cell surface acting as a functional chloride channel and effectively "curing" the disease at the level of cells in culture. Of course, the deleterious effects of chaperone removal in the patient would outweigh the benefit of successfully transporting the mutant CFTR protein to the cell surface. Regardless, the principle of "curing" cystic fibrosis by rescuing the mislocalized protein represents a proof of principle for a strategy in which drugs may be used to elicit greater specificity in effecting mutant CFTR "rescue."

The enormous advances in sensitivity and quantitation at the MS level as demonstrated at a mini-symposium on Protein Quantitation and Dynamics in San Francisco (3), coupled with efforts to effect global protein-protein interaction pulldowns in mice at each stage of development from the embryo to the adult, will be a projected accomplishment in the near future. The application of antibody-based methods indicated in journal (16) as an alternative to gene tagging will also be a method to check on the expected aberrations in protein expression from high throughput tagging technologies.

As high quality antibodies become available to the representative protein of each human gene then the application of this resource to the magnetic bead isolation method from the Chait laboratory may be a further expected outcome of proteomics (17).

Clinical proteomics is focused on disease-linked proteins and especially proteins that maybe used as marker molecules indicative of disease stages. For the latter, a number of community efforts organized by HUPO are exploring clinical proteomics in a variety of disease phenotypes in organs including liver, brain, and the cardiovascular systems (Human Liver Proteome Project, Human Brain Proteome Project, and Human Cardiovascular Initiative) through either proteomic profiling (Human Plasma Proteome Project) or post-translational modified proteins (including glycosylation, e.g. Human Disease Glycomics Proteomic Initiative). In particular, efforts to map comprehensively the proteins in plasma have undergone a dramatic increase in credibility. From the pioneering efforts of the HUPO Human Plasma Proteome Project (18), the accession of nearly two million identified spectra from over 17,000 peptides mapping to proteins of the human plasma proteome via the PeptideAtlas resource was reported by Eric Deutsch at the recent San Francisco meeting (3). The enormous resource and the quantitation of protein abundance in plasma by application of the Absolute Protein Expression Profiling method of quantitation (19) has now extended to 7 orders of magnitude the dynamic range of protein characterization in human plasma.

Thus, proteomics has already provided important new information on basic cell function and organization and expanded our understanding of the nature (and complexity) of post-translational modified proteins and other manipulations. It has provided significant new foundations for translational applications and, to a very real degree, helped to define what the challenges will be for the next five years. In this regard, technological innovations in sensitivity and quantitation of peptides and proteins as well as their post-translational modification, characterized by MS, are expanding at a breathless pace. This will inevitably lead to an even larger influx of biologists and clinicians as the ready pickings from this new technology are realized. The complete mapping of functional annotations and disease links to each of the genes of the human genome has become a realistic target, if still several years off. Efforts are underway to position and map proteins deduced by proteomics to each location in the cell and to resolve function by the elucidation of complexes. A single global project perhaps organized by HUPO could very well coordinate this bold challenge especially because order and standardization in the reporting of proteomics experiments is well under way (20).


   FOOTNOTES
 
{ddagger} To whom correspondence may be addressed. E-mail: john.bergeron{at}mcgill.ca

§ To whom correspondence may be addressed. E-mail: rab{at}cgl.ucsf.edu


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