Proteomic analysis of livers of patients with primary hepatolithiasis

Difference gel electrophoresis DIGE

Proteomics offers powerful technologies to assist in the discovery of targets for novel therapeutic agents, by allowing the investigation of changes in protein state between control and diseased tissue and biofluids. Difference gel electrophoresis coupled with mass spectrometry (DIGE/MS) is a technology used within proteomics that has demonstrated technical robustness and associated statistical confidence to enable successful identification of therapeutic targets.:

PPI spider: a tool for the interpretation of proteomics data in the context of protein-protein interaction networks

Recent advances in experimental technologies allow for the detection of a complete cell proteome. Proteins that are expressed at a particular cell state or in a particular compartment as well as proteins with differential expression between various cells states are commonly delivered by many proteomics studies. Once a list of proteins is derived, a major challenge is to interpret the identified set of proteins in the biological context. Protein-protein interaction (PPI) data represents abundant information that can be employed for this purpose. However, these data have not yet been fully exploited due to the absence of a methodological framework that can integrate this type of information. Here, we propose to infer a network model from an experimentally identified protein list based on the available information about the topology of the global PPI network. We propose to use a Monte Carlo simulation procedure to compute the statistical significance of the inferred models. The method has been implemented as a freely available web-based tool, PPI spider (http://mips.helmholtz-muenchen.de/proj/ppispider). To support the practical significance of PPI spider, we collected several hundreds of recently published experimental proteomics studies that reported lists of proteins in various biological contexts. We reanalyzed them using PPI spider and demonstrated that in most cases PPI spider could provide statistically significant hypotheses that are helpful for understanding of the protein list.

PLIPS, an automatically collected database of protein lists reported by proteomics studies

The spectrum of problems covered by proteomics studies range from the discovery of compartment specific cell proteomes to clinical applications, including the identification of diagnostic markers and monitoring the effects of drug treatments. In most cases, the ultimate results of a proteomics study are lists of proteins found to be present (or differentially present) at cell physiological conditions under study. Normally, the results are published directly in the article in one or several tables. In many cases, this type of information remains disseminated in hundreds of proteomics publications. We have developed a Web mining tool which allows the collection of this information by searching through full text papers and automatically selecting tables, which report a list of protein identifiers. By searching through major proteomics journals, we have collected approximately 800 independent studies published recently, which reported about 1000 different protein lists. On the basis of this data, we developed a computational tool PLIPS (Protein Lists Identified in Proteomics Studies). PLIPS accepts as input a list of protein/gene identifiers. With the use of statistical analyses, PLIPS infers recently published proteomics studies, which report protein lists that significantly intersect with a query list. PLIPS is a freely available Web-based tool ( http://mips.helmholtz-muenchen.de/proj/plips ).

KEGG spider: interpretation of genomics data in the context of the global gene metabolic network

KEGG spider is a web-based tool for interpretation of experimentally derived gene lists in order to gain understanding of metabolism variations at a genomic level. KEGG spider implements a 'pathway-free' framework that overcomes a major bottleneck of enrichment analyses: it provides global models uniting genes from different metabolic pathways. Analyzing a number of experimentally derived gene lists, we demonstrate that KEGG spider provides deeper insights into metabolism variations in comparison to existing methods.

Optimizing the difference gel electrophoresis (DIGE) technology

Difference gel electrophoresis (DIGE) technology has been used to provide a powerful quantitative component to proteomics experiments involving 2D gel electrophoresis. DIGE combines spectrally resolvable fluorescent dyes (Cy2, Cy3, and Cy5) with sample multiplexing for low technical variation, and uses an internal standard methodology to analyze replicate samples from multiple experimental conditions with unsurpassed statistical confidence for 2D gel-based differential display proteomics. DIGE experiments can facilely accommodate sufficient independent (biological) replicate samples to control for the large interpersonal variation expected from clinical samples. The use of multivariate statistical analyses can then be used to assess the global variation in a complex set of independent samples, filtering out the noise from technical variation and normal biological variation thereby focusing on the underlying variation that can describe different disease states. This chapter focuses on the design and implementation of the DIGE methodology employing the use of a pooled-sample internal standard in conjunction with the minimal CyDye chemistry. Notes are also provided for the use of the alternative saturation labeling chemistry.

Circulating markers of biliary malignancy: opportunities in proteomics?

Cholangiocarcinoma, a primary liver tumour that arises from biliary epithelial cells, is increasing in incidence and has poor prognosis. Diagnosis is difficult, particularly in patients with primary sclerosing cholangitis, who are at risk of developing the disease. Timely diagnosis is essential because surgical resection in early disease remains the only cure. The lack of a sensitive and specific early diagnostic marker and of alternative treatments are the main reasons why patients have limited survival. The use of proteomic-based approaches, which analyse the physiological or pathological complement of proteins (ie, the proteome) in cells, tissues, or biological fluids, has received substantial interest in biomarker discovery. Proteomics complements genomic studies and examines functional end-units quantitatively and qualitatively, including post-translational modifications which might vary with disease and might have key roles in protein function or localisation. Major advances in technology and bioinformatics have enhanced proteomic studies, resulting in increased understanding of the pathogenesis of many diseases and in biomarker discovery with effective use of tissues, cell lines, and biological fluids. We review the current status and promise of proteomic-based approaches in biomarker discovery for cholangiocarcinoma.

Optimization of two-dimensional gel electrophoresis technique for liver fibrosis tissue from patients with hepatitis B

AIM: To establish and optimize the technique of two-dimensional gel electrophoresis (2-DE) for studying the proteomics of liver fibrosis tissue from patients with hepatitis B.

METHODS: Liver fibrosis tissues were obtained by surgical method, and the total proteins were extracted. Immobilized pH gradient isoelectric two-dimensional gel electrophoresis was used to separate the total protein. After coomassie brilliant blue staining, 2-DE maps were analyzed with ImageMaster 2D Platinum Software. A series of conditions such as the sample size, electrophoresis parameters and the way to treat the sample were improved.

RESULTS: After optimization, the horizontal trail was decreased; the resolution of the spot was improved; the number of protein spot was increased from 246 ± 33 to 729 ± 83 in the 2-DE maps.

CONCLUSION: The optimized technique of 2-DE can be introduced to study the proteomics of liver fibrosis tissue from patients with hepatitis B.

Gallstone disease: Epidemiology of gallbladder stone disease

Gallstone disease is common: >700,000 cholecystectomies and costs of approximately 6.5 billion dollars annually in the U.S. The burden of disease is epidemic in American Indians (60-70%); a corresponding decrease occurs in Hispanics of mixed Indian origin. Ten to fifteen per cent of white adults in developed countries harbour gallstones. Frequency is further reduced in Black Americans, East Asia and sub-Saharan Africa. In developed countries, cholesterol gallstones predominate; 15% are black pigment. East Asians develop brown pigment stones in bile ducts, associated with biliary infection or parasites, or in intrahepatic ducts (hepatolithiasis). Certain risk factors for gallstones are immutable: female gender, increasing age and ethnicity/family (genetic traits). Others are modifiable: obesity, the metabolic syndrome, rapid weight loss, certain diseases (cirrhosis, Crohn's disease) and gallbladder stasis (from spinal cord injury or drugs like somatostatin). The only established dietary risk is a high caloric intake. Protective factors include diets containing fibre, vegetable protein, nuts, calcium, vitamin C, coffee and alcohol, plus physical activity.