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Peripheral leukocytes may reflect systemic disease and stress states through their gene expression profile. Subsequent protein analyses of leukocytes are hypothesized to provide essential information regarding systemic diseases. We have developed a protein biosignature analysis of the tumour suppressor and cell stress sensor p53 based on two-dimensional gel electrophoresis and immunoblotting, and utilize fluorescently labelled reference standards to significantly improve the alignment and comparison of biosignatures, including full-length p53 and isoforms p53β and p53γ. Analysis of the p53 biosignatures of peripheral blood mononuclear cells from 526 healthy individuals and 65 acute myeloid leukaemia patients indicated a novel putative p53 protein variant in a subset of individuals (227 of 526 healthy tested). The p53 variant was more distinct in the reference standard aligned biosignatures of healthy individuals, compared to the non-standard aligned leukaemia biosignatures. This approximately 2 kDa heavier variant of p53 appeared with similar frequency in leukemic and healthy test persons, without coinciding with known splice forms or post-translational modifications of p53. We propose that a standardized leukocyte protein biosignature of p53 provides a powerful research tool and indicate how p53 protein biosignatures may be used in future diagnostics. This article is part of a Special Issue entitled: Integrated omics.
Pubmed ID: 22842154
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Software application for performing pixel-by-pixel correlation analysis on a set of gel images from two-dimensional gel electrophoresis and a set of clinical parameters for a population. The application is written in C++, and has been tested on Windows, although it in principle should compile cross platform using CMake.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 29, 2016. A workbench tool to make existing population genetic software more accessible and to facilitate the integration of new tools for analyzing patterns of DNA sequence variation, within a phylogenetic context. Collectively, SNAP tools can serve as a bridge between theoretical and applied population genetic analysis. The exploration of DNA sequence variation for making inferences on evolutionary processes in populations requires the coordinated implementation of a Suite of Nucleotide Analysis Programs (SNAP), each bound by specific assumptions and limitations.
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