Institution
University of Turin
Education•Turin, 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 published on a yearly basis
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TL;DR: The distinctiveness of B-CLL B cells explains why B- CLL is different from other B-cell tumors and accounts for the development of immune deficiency and autoimmunity.
Abstract: PURPOSE: To review the recent major advances in the molecular and cell biology of B-cell chronic lymphocytic leukemia (B-CLL). METHODS: We analyzed the nature of malignant B-CLL B cells and their interactions with the microenvironment. RESULTS: B-CLL is a malignancy of a mantle zone-based subpopulation of anergic, self-reactive, activated CD5+ B cells devoted to the production of polyreactive natural autoantibodies. It is the quintessential example of a human malignancy that primarily involves defects in the induction of programmed cell death. An abnormal karyotype is observed in about 50% of patients with B-CLL. Patients with 13q14 abnormalities show heavy somatic mutation and have a benign disease. Trisomy 12 is associated with unmutated VH genes, atypical cellular morphology, and progressive disease. Extended cell survival is further shielded by a kinetic refractoriness likely promoted by abnormalities of the B-cell antigen receptor complex and favored by some cytokines that highlight a reciprocal dial...
428 citations
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Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico1, University of Milan2, Loyola University Chicago3, Harvard University4, University of Genoa5, University of Bari6, University of Lyon7, University of Turin8, University of Bologna9, Autonomous University of Barcelona10, University of Toronto11
TL;DR: The time is now right to apply the knowledge obtained with Pes to improve the management of critically ill and ventilator-dependent patients, as Pes measurements have enhanced the understanding of the pathophysiology of acute lung injury, patient-ventilator interaction, and weaning failure.
Abstract: This report summarizes current physiological and technical knowledge on esophageal pressure (Pes) measurements in patients receiving mechanical ventilation. The respiratory changes in Pes are representative of changes in pleural pressure. The difference between airway pressure (Paw) and Pes is a valid estimate of transpulmonary pressure. Pes helps determine what fraction of Paw is applied to overcome lung and chest wall elastance. Pes is usually measured via a catheter with an air-filled thin-walled latex balloon inserted nasally or orally. To validate Pes measurement, a dynamic occlusion test measures the ratio of change in Pes to change in Paw during inspiratory efforts against a closed airway. A ratio close to unity indicates that the system provides a valid measurement. Provided transpulmonary pressure is the lung-distending pressure, and that chest wall elastance may vary among individuals, a physiologically based ventilator strategy should take the transpulmonary pressure into account. For monitoring purposes, clinicians rely mostly on Paw and flow waveforms. However, these measurements may mask profound patient-ventilator asynchrony and do not allow respiratory muscle effort assessment. Pes also permits the measurement of transmural vascular pressures during both passive and active breathing. Pes measurements have enhanced our understanding of the pathophysiology of acute lung injury, patient-ventilator interaction, and weaning failure. The use of Pes for positive end-expiratory pressure titration may help improve oxygenation and compliance. Pes measurements make it feasible to individualize the level of muscle effort during mechanical ventilation and weaning. The time is now right to apply the knowledge obtained with Pes to improve the management of critically ill and ventilator-dependent patients.
428 citations
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TL;DR: It is shown that coded microsatellite data produced in different laboratories with different protocols and conditions can be compared, and that it is suitable for the identification and SSR allele characterization of cultivars.
Abstract: In order to investigate the comparability of microsatellite profiles obtained in different laboratories, ten partners in seven countries analyzed 46 grape cultivars at six loci (VVMD5, VVMD7, VVMD27, VVS2, VrZAG62, and VrZAG79) No effort was made to standardize equipment or protocols Although some partners obtained very similar results, in other cases different absolute allele sizes and, sometimes, different relative allele sizes were obtained A strategy for data comparison by means of reference to the alleles detected in well-known cultivars was proposed For each marker, each allele was designated by a code based on the name of the reference cultivar carrying that allele Thirty-three cultivars, representing from 13 to 23 alleles per marker, were chosen as references After the raw data obtained by the different partners were coded, more than 97% of the data were in agreement Minor discrepancies were attributed to errors, suboptimal amplification and visualization, and misscoring of heterozygous versus homozygous allele pairs We have shown that coded microsatellite data produced in different laboratories with different protocols and conditions can be compared, and that it is suitable for the identification and SSR allele characterization of cultivars It is proposed that the six markers employed here, already widely used, be adopted as a minimal standard marker set for future grapevine cultivar analyses, and that additional cultivars be characterized by means of the coded reference alleles presented here The complete database is available at http://wwwgenresde/eccdb/vitis/ Cuttings of the 33 reference cultivars are available on request from the Institut National de la Recherche Agronomique Vassal collection (didiervares@ensaminrafr)
427 citations
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TL;DR: It is concluded that succinate dehydrogenase deficiency may be the cause of a subgroup of GISTs and this offers a therapeutic target for Gists that may not respond to STI571 and its analogs.
Abstract: Gastrointestinal stromal tumors (GISTs) may be caused by germline mutations of the KIT and platelet-derived growth factor receptor-α (PDGFRA) genes and treated by Imatinib mesylate (STI571) or other protein tyrosine kinase inhibitors. However, not all GISTs harbor these genetic defects and several do not respond to STI571 suggesting that other molecular mechanisms may be implicated in GIST pathogenesis. In a subset of patients with GISTs, the lesions are associated with paragangliomas; the condition is familial and transmitted as an autosomal-dominant trait. We investigated 11 patients with the dyad of ‘paraganglioma and gastric stromal sarcoma’; in eight (from seven unrelated families), the GISTs were caused by germline mutations of the genes encoding subunits B, C, or D (the SDHB, SDHC and SDHD genes, respectively). In this report, we present the molecular effects of these mutations on these genes and the clinical information on the patients. We conclude that succinate dehydrogenase deficiency may be the cause of a subgroup of GISTs and this offers a therapeutic target for GISTs that may not respond to STI571 and its analogs.
426 citations
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TL;DR: High-throughput, genome-wide translocation sequencing (HTGTS) was developed to identify tens of thousands of independent translocation junctions involving fixed I-SceI meganuclease-generated DNA double-strand breaks within the c-myc oncogene or IgH locus of B lymphocytes induced for activation-induced cytidine deaminase (AID)-dependent IgH class switching.
426 citations
Authors
Showing all 30045 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Grätzel | 248 | 1423 | 303599 |
Lewis C. Cantley | 196 | 748 | 169037 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Elio Riboli | 158 | 1136 | 110499 |
Giacomo Bruno | 158 | 1687 | 124368 |
Silvia Franceschi | 155 | 1340 | 112504 |
Thomas E. Starzl | 150 | 1625 | 91704 |
Paolo Boffetta | 148 | 1455 | 93876 |
Marco Costa | 146 | 1458 | 105096 |
Pier Paolo Pandolfi | 146 | 529 | 88334 |
Andrew Ivanov | 142 | 1812 | 97390 |
Chiara Mariotti | 141 | 1426 | 98157 |
Tomas Ganz | 141 | 480 | 73316 |
Jean-Pierre Changeux | 138 | 672 | 76462 |
Dong-Chul Son | 138 | 1370 | 98686 |