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Roberto Esposito

Bio: Roberto Esposito is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Catalysis & Computer science. The author has an hindex of 31, co-authored 174 publications receiving 7797 citations. Previous affiliations of Roberto Esposito include University of Turin & University of Chieti-Pescara.


Papers
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Journal ArticleDOI
Daniel D Murray1, Kazuo Suzuki1, Matthew Law1, Jonel Trebicka2  +1486 moreInstitutions (9)
14 Oct 2015-PLOS ONE
TL;DR: No associations with mortality were found with any circulating miRNAs studied and these results cast doubt onto the effectiveness of circulating miRNA as early predictors of mortality or the major underlying diseases that contribute to mortality in participants treated for HIV-1 infection.
Abstract: Introduction The use of anti-retroviral therapy (ART) has dramatically reduced HIV-1 associated morbidity and mortality. However, HIV-1 infected individuals have increased rates of morbidity and mortality compared to the non-HIV-1 infected population and this appears to be related to end-organ diseases collectively referred to as Serious Non-AIDS Events (SNAEs). Circulating miRNAs are reported as promising biomarkers for a number of human disease conditions including those that constitute SNAEs. Our study sought to investigate the potential of selected miRNAs in predicting mortality in HIV-1 infected ART treated individuals. Materials and Methods A set of miRNAs was chosen based on published associations with human disease conditions that constitute SNAEs. This case: control study compared 126 cases (individuals who died whilst on therapy), and 247 matched controls (individuals who remained alive). Cases and controls were ART treated participants of two pivotal HIV-1 trials. The relative abundance of each miRNA in serum was measured, by RTqPCR. Associations with mortality (all-cause, cardiovascular and malignancy) were assessed by logistic regression analysis. Correlations between miRNAs and CD4+ T cell count, hs-CRP, IL-6 and D-dimer were also assessed. Results None of the selected miRNAs was associated with all-cause, cardiovascular or malignancy mortality. The levels of three miRNAs (miRs -21, -122 and -200a) correlated with IL-6 while miR-21 also correlated with D-dimer. Additionally, the abundance of miRs -31, -150 and -223, correlated with baseline CD4+ T cell count while the same three miRNAs plus miR-145 correlated with nadir CD4+ T cell count. Discussion No associations with mortality were found with any circulating miRNA studied. These results cast doubt onto the effectiveness of circulating miRNA as early predictors of mortality or the major underlying diseases that contribute to mortality in participants treated for HIV-1 infection.

3,094 citations

01 Jul 2012
TL;DR: A comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus aureus, Saccharomyces cerevisiae and in silico microarray data defines the performance, data requirements and inherent biases of different inference approaches, and provides guidelines for algorithm application and development.
Abstract: Reconstructing gene regulatory networks from high-throughput data is a long-standing challenge. Through the Dialogue on Reverse Engineering Assessment and Methods (DREAM) project, we performed a comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus aureus, Saccharomyces cerevisiae and in silico microarray data. We characterize the performance, data requirements and inherent biases of different inference approaches, and we provide guidelines for algorithm application and development. We observed that no single inference method performs optimally across all data sets. In contrast, integration of predictions from multiple inference methods shows robust and high performance across diverse data sets. We thereby constructed high-confidence networks for E. coli and S. aureus, each comprising ∼1,700 transcriptional interactions at a precision of ∼50%. We experimentally tested 53 previously unobserved regulatory interactions in E. coli, of which 23 (43%) were supported. Our results establish community-based methods as a powerful and robust tool for the inference of transcriptional gene regulatory networks.

1,355 citations

Book
31 Mar 2008

457 citations

Book
29 Oct 2009
TL;DR: In Communitas: The Origin and Destiny of Community, Roberto Esposito as mentioned in this paper examines the meaning of community from the perspective of its original etymological meaning: cum munus.
Abstract: No theme has been more central to international philosophical debates than that of community: from American communitarianism to Habermas's ethic of communication to the French deconstruction of community in the work of Derrida and Nancy. Nevertheless, in none of these cases has the concept been examined from the perspective of community's original etymological meaning: cum munus. In Communitas: The Origin and Destiny of Community, Roberto Esposito does just that through an original counter-history of political philosophy that takes up not only readings of community by Hobbes, Rousseau, Kant, Heidegger and Bataille, but also by Holderlin, Nietzsche, Canetti, Arendt, and Sartre. The result of his extraordinary conceptual and lexical analysis is a radical overturning of contemporary interpretations of community. Community isn't a property, nor is it a territory to be separated and defended against those who do not belong to it. Rather, it is a void, a debt, a gift to the other that also reminds us of our constitutive alterity with respect to ourselves.

333 citations

Book
21 Nov 2011
TL;DR: In this paper, the authors discuss the appropriateness of appropriative and appropriative use of the katechon, the restrainer, the pharmakon, and the implant.
Abstract: Introduction I. Appropriation 1. Ius proprium 2. Violence against violence 3. Double blood 4. Legal immunization II. The katechon 1. Sacer and sanctus 2. The restrainer 3. Political theology 4. Theodicy III. Compensatio 1. Immunitary anthropology 2. The productivity of the negative 3. The risk of community 4. The power of the void IV. Biopolitics 1. Incorporations 2. The pharmakon 3. Zellenstaat 4. The governance of life V. The implant 1. Biophilosophies of immunity 2. War games 3. The defeated 4. Common immunity

263 citations


Cited by
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TL;DR: This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year, to survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks.

8,730 citations

Journal ArticleDOI
TL;DR: The implementation of Open Babel is detailed, key advances in the 2.3 release are described, and a variety of uses are outlined both in terms of software products and scientific research, including applications far beyond simple format interconversion.
Abstract: A frequent problem in computational modeling is the interconversion of chemical structures between different formats. While standard interchange formats exist (for example, Chemical Markup Language) and de facto standards have arisen (for example, SMILES format), the need to interconvert formats is a continuing problem due to the multitude of different application areas for chemistry data, differences in the data stored by different formats (0D versus 3D, for example), and competition between software along with a lack of vendor-neutral formats. We discuss, for the first time, Open Babel, an open-source chemical toolbox that speaks the many languages of chemical data. Open Babel version 2.3 interconverts over 110 formats. The need to represent such a wide variety of chemical and molecular data requires a library that implements a wide range of cheminformatics algorithms, from partial charge assignment and aromaticity detection, to bond order perception and canonicalization. We detail the implementation of Open Babel, describe key advances in the 2.3 release, and outline a variety of uses both in terms of software products and scientific research, including applications far beyond simple format interconversion. Open Babel presents a solution to the proliferation of multiple chemical file formats. In addition, it provides a variety of useful utilities from conformer searching and 2D depiction, to filtering, batch conversion, and substructure and similarity searching. For developers, it can be used as a programming library to handle chemical data in areas such as organic chemistry, drug design, materials science, and computational chemistry. It is freely available under an open-source license from http://openbabel.org .

6,040 citations

Journal ArticleDOI
TL;DR: It is impossible that the rulers now on earth should make any benefit, or derive any the least shadow of authority from that, which is held to be the fountain of all power, Adam's private dominion and paternal jurisdiction.
Abstract: All these premises having, as I think, been clearly made out, it is impossible that the rulers now on earth should make any benefit, or derive any the least shadow of authority from that, which is held to be the fountain of all power, Adam's private dominion and paternal jurisdiction; so that he that will not give just occasion to think that all government in the world is the product only of force and violence, and that men live together by no other rules but that of beasts, where the strongest carries it, and so lay a foundation for perpetual disorder and mischief, tumult, sedition and rebellion, (things that the followers of that hypothesis so loudly cry out against) must of necessity find out another rise of government, another original of political power, and another way of designing and knowing the persons that have it, than what Sir Robert Filmer hath taught us.

3,076 citations

Journal ArticleDOI
TL;DR: On a compendium of single-cell data from tumors and brain, it is demonstrated that cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states.
Abstract: We present SCENIC, a computational method for simultaneous gene regulatory network reconstruction and cell-state identification from single-cell RNA-seq data (http://scenicaertslaborg) On a compendium of single-cell data from tumors and brain, we demonstrate that cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states SCENIC provides critical biological insights into the mechanisms driving cellular heterogeneity

2,277 citations

21 Jun 2010

1,966 citations