1,720,999 research outputs found
Architetture a 64 bit in biologia computazionale: un’esperienza con una macchina AMD R Opteron R SMP biprocessore
No full textA method to detect individuals with different genetic background in case-control studies
No full textNovel genes possibly relevant for molecular diagnosis or therapy of human rhabdomyosarcoma, detected by genomic expression profiling
No full textTranscriptional profiles of an alveolar rhabdomyosarcoma (RMS) and of a RMS cell line were reconstructed by a computational and statistical approach. Expression data of 29,963 genes in 11 adult human healthy tissues and in 37 tumour tissues were analysed for comparison. We identified 202 genes differentially expressed in at least one RMS sample, as compared with normal skeletal muscle. Among them, 107 resulted specifically overexpressed in RMS, but in no tumour affecting other tissues. Cluster analysis applied to expression data detected a series of genes presumably co-expressed with genes encoding known tumour markers and/or reportedly involved in genesis or development of rhabdomyosarcoma. This study succeeded in identifying a number of genes, which become candidates for in vitro study, thus facilitating discovery of novel tumour markers or targets for drug therapy
MAGIA2: from miRNA and genes expression data integrative analysis to microRNA-transcription factor mixed regulatory circuits (2012 update).
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Disease-genes and intracellular protein networks
No full textBy a computational approach we reconstructed genomic transcriptional profiles of 19 different adult human tissues, based on information on activity of 27,924 genes obtained from unbiased UniGene cDNA libraries. In each considered tissue, a small number of genes resulted highly expressed or "tissue specific." Distribution of gene expression levels in a tissue appears to follow a power law, thus suggesting a correspondence between transcriptional profile and "scale-free" topology of protein networks. The expression of 737 genes involved in Mendelian diseases was analyzed, compared with a large reference set of known human genes. Disease genes resulted significantly more expressed than expected. The possible correspondence of their products to important nodes of intracellular protein network is suggested. Auto-organization of the protein network, its stability in time in the differentiated state, and relationships with the degree of genetic variability at genome level are discussed
miRNome of italian large white pig subcutaneous fat tissue: new miRNAs, isomiRs and moRNAs
No full textImprinting paterno in una popolazione di famiglie asmatiche italiane: evidenze preliminari
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