Background: Killer cell immunoglobulin-like receptors (KIR) are expressed on NK cells and a subset of T cells. The variable KIR receptors along with their ligands, HLA class I, influence risk for autoimmune and malignant diseases. Objective: To investigate the KIR gene profiles in relation to susceptibility to Graves’ disease in patients with ophthalmopathy. Methods: KIR genes profiles were ana...

PURPOSE Identification of molecular characteristics of spontaneously regressing stage IVS and progressing stage IV neuroblastoma to improve discrimination of patients with metastatic disease following favorable and unfavorable clinical courses. EXPERIMENTAL DESIGN Serial analysis of gene expression profiles were generated from five stage IVS and three stage IV neuroblastoma. Differential expr...

staphylococcus aureus carrying pvl gene remain major health problem associated with highly virulent infections. characterization of such gene is important to know the impact and the functional significance of nucleotide variations. pcr and standard sequencing were performed for twelve sudanese strains from different sources. protein structures prediction, modeling and physiochemical analysis we...

Staphylococcus aureus carrying PVL gene remain major health problem associated with highly virulent infections. Characterization of such gene is important to know the impact and the functional significance of nucleotide variations. PCR and standard sequencing were performed for twelve Sudanese strains from different sources. Protein structures prediction, modeling and physiochemical analysis we...

Introduction: The advent of large-scale genome sequencing has revolutionized the field of genetics and biology. Sequencing projects require sophisticated computational analysis to manage vast collections of data. Scientists first sequenced a genome in 1977, that of a small bacteriophage consisting of 11 genes over 5.4kb of DNA. In the bacteriophage, coding genes comprise 95% of the genome. 1 Si...

Promising results were recently reported in utilizing network information in phenotype-similarity network and gene-interaction network with graph-based learning to derive new disease phenotype-gene associations. However, a more fundamental understanding of how the network information is relevant to disease phenotype-gene associations is lacking. In this paper, we analyze the circular bigraphs (...