Biomedical subjects

Mattia Pelizzola

Publications and source records attributed to Mattia Pelizzola.

6 recordsLinked to original sources

PubMed2006

AMDA: an R package for the automated microarray data analysis.

BACKGROUND: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and new experiments are constantly being performed. In spite of this fact, few and limited tools exist for quickly and easily analyzing the results. Microarray analysis can be challenging for researchers without the necessary training and it can be time-consuming for service providers with many users. RESULTS: To address these problems we have developed an automated microarray data analysis (AMDA) software, which provides scientists with an easy and integrated system for the analysis of Affymetrix microarray experiments. AMDA is free and it is available as an R package. It is based on the Bioconductor project that provides a number of powerful bioinformatics and microarray analysis tools. This automated pipeline integrates different functions available in the R and Bioconductor projects with newly developed functions. AMDA covers all of the steps, performing a full data analysis, including image analysis, quality controls, normalization, selection of differentially expressed genes, clustering, correspondence analysis and functional evaluation. Finally a LaTEX document is dynamically generated depending on the performed analysis steps. The generated report contains comments and analysis results as well as the references to several files for a deeper investigation. CONCLUSION: AMDA is freely available as an R package under the GPL license. The package as well as an example analysis report can be downloaded in the Services/Bioinformatics section of the Genopolis http://www.genopolis.it/.

Algorithms↗

PubMed2006

Effects of dexamethazone on LPS-induced activationand migration of mouse dendritic cells revealed by a genome-wide transcriptional analysis.

While lipopolysaccharides (LPS) induce dendritic cell (DC) maturation and migration to lymph nodes, glucocorticoids such as dexamethazone (Dex) have a profound suppressive effect on immune response. The mechanisms that might control this suppressive effect of Dex have been extensively investigated in lymphocytes as possible targets. Much less is known on the effects of Dex on DC, although they are recognized to regulate immunity. To get insights into possible combined effects of Dex and LPS on DC functions, we have undertaken a genome-wide analysis of differentially expressed genes of DC treated with Dex alone, LPS alone, or both, using high-density oligonucleotide microarrays. Hierarchical clustering and principal component analysis (PCA) agreed in identifying 24 h as the time point that best discriminated the three treatments. Among the counteracting effects we have observed an inhibition of Dex on the LPS-induced up-regulation of the chemokine receptor CCR7. In vivo, Dex treatment blocked the LPS-induced migration of DC, which lost their ability to reach the draining lymph nodes. In addition, we observed a synergistic effect of Dex and LPS on the expression of the secreted lipocalin 24p3, which has been reported to induce apoptosis in T cells and thus may be related to immune suppression.

Acute-Phase Proteins↗

PubMed2006

Dendritic cells in pathogen recognition and induction of immune responses: a functional genomics approach.

At the 38th Annual Meeting of the Society for Leukocyte Biology held in Oxford this year, the biology of dendritic cells (DCs) and macrophages was discussed. In particular, functional genomics approaches were presented to investigate transcriptional changes during microbe and phagocytes interactions. Here, we report functional genomics studies likely to be of interest to the Journal of Leukocyte Biology readers with a particular emphasis on DC biology. DCs are professional antigen-presenting cells, which are essential for the initiation and regulation of natural killer, T, and T regulatory cell responses. Immature DCs, resident in peripheral sites, are specialized in antigen capture and continually sample soluble and particulate antigens in their local environment. DCs express receptors for cytokines, chemokines, endogenous danger signals, and microbial structures. The interactions between DCs and microorganism are complex, but progress in the past few years has shed light on several aspects of these processes. Infectious disease is the result of an intimate relationship between pathogens and hosts. Thus, understanding the cross-talk between host and pathogen is essential to improve our knowledge of infectious disease. Functional genomics and proteomics applied to DCs and macrophage biology are now providing powerful tools to dissect, at the molecular level, host-pathogen interactions.

Animals↗

PubMed2005

A critical role for lipophosphoglycan in proinflammatory responses of dendritic cells to Leishmania mexicana.

Recognition of pathogen-associated molecular patterns (PAMP) influences the response of dendritic cells (DC) and therefore development of innate and adaptive immunity. Different forms of Leishmania mexicana have distinct effects on DC, with promastigotes and amastigotes being activating and apparently neutral, respectively. We investigated whether stage-specific differences in surface composition might account for these distinct effects. Amastigotes and promastigotes lacking the lpg1 gene needed for lipophosphoglycan (LPG) biosynthesis could not activate DC in vitro. Genome-wide transcriptional profiling of DC infected with wild-type or mutant promastigotes or wild-type amastigotes revealed that wild-type promastigotes induce an inflammatory signature that is lacking in DC exposed to the other parasite forms. The proinflammatory response pattern was partly recovered by reconstitution of lpg1 expression in lpg1-/- parasites, and exposure to purified LPG increased the expression of MHC class II and CD86 on DC. Infection with wild-type but not lpg1-/- promastigotes increased the number of activated DC in draining lymph nodes, and this was correlated with lower early parasite burdens in wild-type-infected animals. These in vivo and in vitro results suggest an LPG-dependent activation of DC that contributes to host defense and agree with the notion that the parasites evolved under immune pressure to down-regulate PAMP expression in mammalian hosts.

Animals↗

PubMed2004

A power law global error model for the identification of differentially expressed genes in microarray data.

BACKGROUND: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiology, disease or intervention. Methods for the identification of these so-called "differentially expressed genes" (DEG) would largely benefit from a deeper knowledge of the intrinsic measurement variability. Though it is clear that variance of repeated measures is highly dependent on the average expression level of a given gene, there is still a lack of consensus on how signal reproducibility is linked to signal intensity. The aim of this study was to empirically model the variance versus mean dependence in microarray data to improve the performance of existing methods for identifying DEG. RESULTS: In the present work we used data generated by our lab as well as publicly available data sets to show that dispersion of repeated measures depends on location of the measures themselves following a power law. This enables us to construct a power law global error model (PLGEM) that is applicable to various Affymetrix GeneChip data sets. A new DEG identification method is therefore proposed, consisting of a statistic designed to make explicit use of model-derived measurement spread estimates and a resampling-based hypothesis testing algorithm. CONCLUSIONS: The new method provides a control of the false positive rate, a good sensitivity vs. specificity trade-off and consistent results with varying number of replicates and even using single samples.

Algorithms↗

PubMed2004

A type I IFN-dependent pathway induced by Schistosoma mansoni eggs in mouse myeloid dendritic cells generates an inflammatory signature.

Schistosomes are helminth parasites that display a dual impact on the immune system of their hosts. Although the larval stage, also known as schistosomulum, appears to subvert the host defenses, the egg stage induces strong inflammatory reactions. Given the pivotal role of dendritic cells (DC) in initiating and regulating immune responses, we compared the distinct transcriptional programs induced in immature mouse DC by S. mansoni eggs or schistosomula. Although SLA abrogated the transcription of many genes implicated in DC functions, eggs caused myeloid DC to produce IFN-beta. Autocrine/paracrine signaling through the type I IFN receptor in response to eggs was necessary for the induction of known IFN-responsive genes and enhanced the synthesis of key inflammatory products. Taken as a whole, our data provide molecular insights into the immune evasion mechanism of schistosomula and suggest an unexpected role for type I IFN in the innate response to helminth eggs.

Animals↗