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Institution

University of Turin

EducationTurin, Piemonte, Italy
About: University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29607 authors who have published 77952 publications receiving 2480900 citations. The organization is also known as: Universita degli Studi di Torino & Università degli Studi di Torino.


Papers
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Journal ArticleDOI
TL;DR: The possibility that drugs modulating the pathway could be used as potential tools in tumor therapy is discussed, and the latest discoveries relating the activity of the pentose phosphate pathway to various aspects of tumor metabolism are summarized.

334 citations

Journal ArticleDOI
10 Oct 2013-Nature
TL;DR: This first attempt to detect genome-wide convergent sequence evolution across divergent taxa reveals the phenomenon to be much more pervasive than previously recognized.
Abstract: By analysing genomic sequences in echolocating mammals it is shown that convergence is not a rare process restricted to a handful of loci but is instead widespread, continuously distributed and commonly driven by natural selection acting on a small number of sites per locus; analyses involved sequence comparisons across 22 mammals, including 4 new bat genomes, and found signatures consistent with convergence in genes linked to hearing or deafness, but surprisingly also to vision. Convergent evolution, through which similar traits evolve in unrelated lineages, is a familiar demonstration of the power of natural selection. These traits are usually viewed as representing alternate evolutionary solutions involving different sets of genes, but that view is challenged by a study of echolocating mammals. Analysis of the genomic sequences in 22 echolocating species, including four new bat genomes, reveals that convergence is not a rare process restricted to a handful of loci but is widespread, continuously distributed and commonly driven by natural selection acting on a small number of sites per locus. Convergence is particularly strong in genes linked to hearing or deafness, but surprisingly, also to vision. Evolution is typically thought to proceed through divergence of genes, proteins and ultimately phenotypes1,2,3. However, similar traits might also evolve convergently in unrelated taxa owing to similar selection pressures4,5. Adaptive phenotypic convergence is widespread in nature, and recent results from several genes have suggested that this phenomenon is powerful enough to also drive recurrent evolution at the sequence level6,7,8,9. Where homoplasious substitutions do occur these have long been considered the result of neutral processes. However, recent studies have demonstrated that adaptive convergent sequence evolution can be detected in vertebrates using statistical methods that model parallel evolution9,10, although the extent to which sequence convergence between genera occurs across genomes is unknown. Here we analyse genomic sequence data in mammals that have independently evolved echolocation and show that convergence is not a rare process restricted to several loci but is instead widespread, continuously distributed and commonly driven by natural selection acting on a small number of sites per locus. Systematic analyses of convergent sequence evolution in 805,053 amino acids within 2,326 orthologous coding gene sequences compared across 22 mammals (including four newly sequenced bat genomes) revealed signatures consistent with convergence in nearly 200 loci. Strong and significant support for convergence among bats and the bottlenose dolphin was seen in numerous genes linked to hearing or deafness, consistent with an involvement in echolocation. Unexpectedly, we also found convergence in many genes linked to vision: the convergent signal of many sensory genes was robustly correlated with the strength of natural selection. This first attempt to detect genome-wide convergent sequence evolution across divergent taxa reveals the phenomenon to be much more pervasive than previously recognized.

334 citations

Journal ArticleDOI
TL;DR: Mutation screening of RYR1 has led to the identification of two previously undescribed mutations in different CCD pedigrees, one of which was also detected in an unrelated MH pedigree whose members are asymptomatic of CCD.
Abstract: Central core disease (CCD) of muscle is an inherited myopathy which is closely associated with malignant hyperthermia (MH) in humans. CCD has recently been shown to be tightly linked to the ryanodine receptor gene (RYR1) and mutations in this gene are known to be present in MH. Mutation screening of RYR1 has led to the identification of two previously undescribed mutations in different CCD pedigrees. One of these mutations was also detected in an unrelated MH pedigree whose members are asymptomatic of CCD. The data suggest a model to explain how a single mutation may result in two apparently distinct clinical phenotypes.

334 citations

Journal ArticleDOI
TL;DR: A network organization based on preemptive patient centralization allowed a high survival rate and provided effective and safe referral of patients with severe H1N1-suspected ARDS.
Abstract: Purpose In view of the expected 2009 influenza A(H1N1) pandemic, the Italian Health Authorities set up a national referral network of selected intensive care units (ICU) able to provide advanced respiratory care up to extracorporeal membrane oxygenation (ECMO) for patients with acute respiratory distress syndrome (ARDS). We describe the organization and results of the network, known as ECMOnet.

333 citations

Journal ArticleDOI
TL;DR: Posterior corneal elevation very effectively discriminates keratoconus from normal corneas, and its efficacy is lower for subclinical keratconus, and thus data concerning posterior elevation should not be used alone to stratify patients with this condition.

333 citations


Authors

Showing all 30045 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Lewis C. Cantley196748169037
Kenneth C. Anderson1781138126072
Elio Riboli1581136110499
Giacomo Bruno1581687124368
Silvia Franceschi1551340112504
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Marco Costa1461458105096
Pier Paolo Pandolfi14652988334
Andrew Ivanov142181297390
Chiara Mariotti141142698157
Tomas Ganz14148073316
Jean-Pierre Changeux13867276462
Dong-Chul Son138137098686
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023202
2022623
20215,734
20205,428
20194,544
20184,233