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Santoni, D.

Publications and source records attributed to Santoni, D..

2 recordsLinked to original sources

Transcription Factor Driven Gene Regulation in Autism Spectrum Disorder

Autism Spectrum Disorders (ASD) encompass a group of neurodevelopmental disorders in which an affected individual faces challenges in social interaction and communication, along with restricted and repetitive stereotypic behavioral patterns and interests. In this work, we have studied the differential gene regulation between patients and controls, mediated by Transcription Factors (TFs), of key genes involved in ASD. Nine and seven TFs have been identified as potential regulators of the set of syndromic and non-syndromic key high confident genes retrieved by the Simons Foundation Autism Research Initiative (SFARI) database. We have also identified significant couples of Transcription Factor - Target Gene potentially associated with an altered regulation in ASD patients. Consistently, many identified couples are involved in processes associated with brain morphogenesis and development. In this regard, this biased regulation could be the target of some experimental design in order to 1) test this hypothesis and 2) try to target this altered regulation pattern in ASD samples. In conclusion, we would like to emphasize that the present work proposes an effective and reliable computational approach that could be applied to any disease with known key genes and available gene expression data.

bioinformatics↗

Characterizing and evaluating cell specialization through Gini index of gene expression: TCGA normal vs tumor case study

In this work we introduce the Gini Index, commonly used as a measure of statistical dispersion to evaluate the income inequality within a nation, as an effective and reliable measure of cell specialization. In particular we use it to evaluate and compare the specialization level of normal and tumor cells according to their gene expressions. Obtained results reveal how Gini Index is able to capture information associated with cell specialization, and show that tumor cells, on average, tend to lose their specialization or in other words their capacity to be the cells they were committed to be, due to cancer.

bioinformatics↗