SPLASH: Systematic proteomics laboratory analysis and storage hub
Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore.PROTEOMICS (Impact Factor: 3.81). 03/2006; 6(6):1758-69. DOI: 10.1002/pmic.200500378
In the field of proteomics, the increasing difficulty to unify the data format, due to the different platforms/instrumentation and laboratory documentation systems, greatly hinders experimental data verification, exchange, and comparison. Therefore, it is essential to establish standard formats for every necessary aspect of proteomics data. One of the recently published data models is the proteomics experiment data repository [Taylor, C. F., Paton, N. W., Garwood, K. L., Kirby, P. D. et al., Nat. Biotechnol. 2003, 21, 247-254]. Compliant with this format, we developed the systematic proteomics laboratory analysis and storage hub (SPLASH) database system as an informatics infrastructure to support proteomics studies. It consists of three modules and provides proteomics researchers a common platform to store, manage, search, analyze, and exchange their data. (i) Data maintenance includes experimental data entry and update, uploading of experimental results in batch mode, and data exchange in the original PEDRo format. (ii) The data search module provides several means to search the database, to view either the protein information or the differential expression display by clicking on a gel image. (iii) The data mining module contains tools that perform biochemical pathway, statistics-associated gene ontology, and other comparative analyses for all the sample sets to interpret its biological meaning. These features make SPLASH a practical and powerful tool for the proteomics community.
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ABSTRACT: The molecular mechanisms regulating myometrial contractility and preterm premature rupture of the membranes leading to preterm birth are poorly understood. The completion of the human genome sequence led to the development of functional genomics and gene array technology to simultaneously identify candidate genes potentially involved in regulation of human parturition. However, the study of living systems can now be expanded past genomics based on the rationale that it is the protein products of the genes, not simply gene expression, that have effects and cause disturbances at the cellular level. Therefore, identification of disease biomarkers, followed by a description of their functional networks, has the potential to significantly aid the development of new strategies for the prediction, diagnosis, and prevention of preterm birth. Interest in mass spectrometry and its use as a new clinical diagnostic tool has grown rapidly and is poised to become an important medical field for the next century.
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ABSTRACT: The current revolution in biomedical sciences has raised new hope for early diagnosis, prevention, and treatment of human diseases. Recent advancements in genomics, proteomics, and other basic sciences are currently transforming the medical science, and offer the promise of answering many of the questions related to human diseases, including their early and accurate diagnosis. Profiling of biological fluids (i.e., serum, urine, amniotic fluid, and cerebrospinal fluid) has successfully identified relevant protein biomarkers that potentially can change early diagnosis and treatment of several medical conditions related to human pregnancy. Similarly, proteomics holds the promise to complement genomics to revolutionize screening and prenatal diagnosis of genetic conditions during early pregnancy. This article summarizes current technology and reviews the application of proteomics in diagnosis of genetic disorders during human pregnancy.
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