Comparative Time-Dependent Analysis of Potential Inflammation Biomarkers in Lymphoma-Bearing SJL Mice.
Research output: Contribution to journal › Article
SJL mice colonized with RcsX lymphoma cells undergo a rapid inflammatory response associated with biological and physiological effects including increased nitric oxide production and mutations in spleen DNA. By 2 weeks postcolonization, these changes were accompanied by both up- and down-regulation of a number of plasma proteins. In the experiments reported here, plasma from individual SJL mice was analyzed at several time-points over the 2-week period to determine if there were sets of proteins whose expression varied in concert and thus might serve as early biomarkers for inflammation-related disorders. Samples were collected just prior to injection of the RcsX cells and then after 4, 8, and 12 days. Albumin and immunoglobulins were depleted, and the samples were resolved by 1D gel electrophoresis. The gels were cut into 20 slices, and the proteins were digested in-gel with trypsin. The digests were treated with iTRAQ reagents and then analyzed using LC/MS/MS. The resulting data were processed with two software packages, that is, ProQuant and Spectrum Mill, and then subjected to K-means cluster analysis (K = 4). The four clusters revealed a set of highly up-regulated proteins, a set of progressively up-regulated proteins, a set with no major changes, and a set that declined. The first cluster included haptoglobin and serum amyloid A; the second included groups with several functions including protease inhibition, cell motility, and transport. The iTRAQ results for a selection of the up-regulated proteins, including haptoglobin, hemopexin, serum amyloid P component, and ceruloplasmin, were confirmed with Western blots. Prominent down-regulated proteins included esterase-1, paraoxonase, and alpha-2-macroglobulin. Approximately 50% of the up-regulated proteins are canonical acute phase proteins, while the remainder are regulated by the Nrf2 transcription factor. Keywords: inflammation center dot SJL mouse center dot lymphoma center dot iTRAQ center dot tumor progression center dot biomarker center dot cluster analysis center dot acute phase proteins
|Research areas and keywords||
Subject classification (UKÄ) – MANDATORY
|Journal||Journal of Proteome Research|
|Publication status||Published - 2007|