QUICKstep and GS-TAP: new moves for protein-interaction analysis.
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Biomedical subjects
Publications and source records attributed to Pascal Braun.
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A major impact of genome projects on human health will be their contribution to the understanding of protein function. Proteins are the engines of biological systems, nearly all pharmaceuticals act on proteins and increasingly proteins themselves are used therapeutically. As biology enters the post-genomic era, researchers have begun to embrace the exciting opportunity of investigating proteins in high throughput (HT) experiments. The study of proteins includes a vast array of techniques ranging from enzyme catalysis assays to interaction and structural studies. Many of these methods depend on purified proteins. The discovery of thousands of novel protein-coding sequences and the increased availability of large cDNA collections provide the opportunity to investigate protein function in a systematic manner and at an unprecedented scale. This opportunity highlights the need for development of HT methods for protein isolation. This article describes the challenges faced and the approaches taken to develop proteome-scale protein expression systems.
The lymphatic microvasculature is uniquely adapted for the continuous removal of interstitial fluid and proteins and is an important entry point for leukocytes and tumor cells. Specialized functions of lymphatics suggest differences in the molecular composition of the lymphatic and blood vascular endothelium. However, the extent to which the two cell types differ is still unclear, and few molecules that are truly specific to lymphatic endothelial cells have been identified to date. We have isolated primary lymphatic and blood microvascular endothelial cells from human skin by immunoselection with the lymphatic marker LYVE-1 and demonstrate that the two cell lineages express distinct sets of vascular markers and respond differently to growth factors and extracellular matrix. Comparative microarray analysis of gene-expression profiles revealed a number of unique molecular properties that distinguish lymphatic and blood vascular endothelium. The molecular profile of lymphatic endothelium seems to reflect characteristic functional and structural features of the lymphatic capillaries. Classification of the differentially expressed genes into functional groups revealed particularly high levels of genes implicated in protein sorting and trafficking, indicating a more active role of lymphatic endothelium in uptake and transport of molecules than previously anticipated. The identification of a large number of genes selectively expressed by lymphatic endothelium should facilitate the discovery of hitherto unknown lymphatic vessel markers and provide a basis for the analysis of the molecular mechanisms accounting for the characteristic functions of lymphatic capillaries.
The completion of the human genome project and the development of high-throughput approaches herald a dramatic acceleration in the pace of biological research. One of the most compelling next steps will be learning the functional roles of all proteins. Achievement of this goal depends in part on the rapid expression and isolation of proteins at large scale. We exploited recombinational cloning to facilitate the development of methods for the high-throughput purification of human proteins. cDNAs were introduced into a master vector from which they could be rapidly transferred into a variety of protein expression vectors for further analysis. A test set of 32 sequence-verified human cDNAs of various sizes and activities was moved into four different expression vectors encoding different affinity-purification tags. By means of an automatable 2-hr protein purification procedure, all 128 proteins were purified and subsequently characterized for yield, purity, and steps at which losses occurred. Under denaturing conditions when the His6 tag was used, 84% of samples were purified. Under nondenaturing conditions, both the glutathione S-transferase and maltose-binding protein tags were successful in 81% of samples. The developed methods were applied to a larger set of 336 randomly selected cDNAs. Sixty percent of these proteins were successfully purified under denaturing conditions and 82% of these under nondenaturing conditions. A relational database, FLEXProt, was built to compare properties of proteins that were successfully purified and proteins that were not. We observed that some domains in the Pfam database were found almost exclusively in proteins that were successfully purified and thus may have predictive character.