objective(s): stem cell differentiation into different cell lineages depends upon several factors, cell cycle control elements and intracellular signaling elements, including p15ink4b and p16ink4a genes. epigenetics may be regarded as a control mechanism which is affected by these factors with respect to their promoter structure.   materials and methods: the cd34 + cord blood stem cells were pu...

bakground: multiple sclerosis (ms) is a cd4+ t cell-mediated autoimmune disease affecting the central nervous system (cns). it was previously believed that th1 cells were pathogenic t cells in experimental autoimmune encephalomyelitis (eae). however, the functional role of th1 cells in eae has been reconsidered upon the discovery of il-17- producing t cells which are consider as dominant effect...

results a total number of 43 specimens were studied, from which 9 were obtained from patients with metastatic prostate cancer. the expression of five examined genes had no correlation with psa level and gleason score. the expression of amacr decreased in metastatic prostate cancer (p = 0.02). the expression of other genes showed no difference between metastatic and non-metastatic tumors (p > 0....

conclusions a fusion tag from the pet32 expression plasmid permits the recovery of the recombinant fusion fgf-2 from e. coli, without affecting its biological activity. objectives the objective of this study was to overexpress and purify the high-level active human bfgf in escherichia coli (e. coli). materials and methods this experimental study was conducted in the islamic republic of iran. af...

We described development of a novel genome-based model-driven strategy useful for regulating eukaryotic gene expression. In order to extract biologically meaningful information from a large volume of mRNA expression data, we built previously a PROmoter-Based Estimation (PROBE) model. The PROBE model allowed us to establish a quantitative relationship between transcription-factor binding motifs ...

This thesis is concerned with the observation that coregulation patterns in gene expression data often reflect functional structures of the cell. First, simulated gene expression data and expression data from yeast experiments are studied with independent component analysis (ICA) and with related factor models. Then, in a more theoretical approach, relations between gene expression patterns and...

We investigate a model of optimal regulation, intended to describe large-scale differential gene expression. Relations between the optimal expression patterns and the function of genes are deduced from an optimality principle: the regulators have to maximise a fitness function which they influence directly via a cost term, and indirectly via their control on important cell variables, such as me...

DNA microarrays make possible the rapid and comprehensive assessment of the transcriptional activity of a cell, and as such have proven valuable in assessing the molecular contributors to biological processes and in the classification of human cancers. The major challenge in using this technology is the analysis of its massive data output, which requires computational means for interpretation a...