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Institution

University of Florence

EducationFlorence, Toscana, Italy
About: University of Florence is a education organization based out in Florence, Toscana, Italy. It is known for research contribution in the topics: Population & Carbonic anhydrase. The organization has 27292 authors who have published 79599 publications receiving 2341684 citations. The organization is also known as: Università degli studi di Firenze & Universita degli studi di Firenze.


Papers
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Journal ArticleDOI
TL;DR: The transverse momentum spectra of charged particles have been measured in pp and PbPb collisions at 2.76 TeV by the CMS experiment at the LHC as mentioned in this paper.
Abstract: The transverse momentum spectra of charged particles have been measured in pp and PbPb collisions at sqrt(sNN) = 2.76 TeV by the CMS experiment at the LHC. In the transverse momentum range pt = 5-10 GeV/c, the charged particle yield in the most central PbPb collisions is suppressed by up to a factor of 5 compared to the pp yield scaled by the number of incoherent nucleon-nucleon collisions. At higher pt, this suppression is significantly reduced, approaching roughly a factor of 2 for particles with pt in the range pt=40-100 GeV/c.

446 citations

Journal ArticleDOI
TL;DR: Activation of HSCs is regulated by several soluble factors, including growth factors, cytokines, chemokines, and products of oxidative stress, as well as by extensive changes in the composition and organization of the ECM.
Abstract: Following acute or chronic liver tissue damage, hepatic stellate cells (HSCs) undergo a process of activation toward a phenotype characterized by increased proliferation, motility, contractility, and synthesis of extracellular matrix components. Activation of HSCs is regulated by several soluble factors, including growth factors, cytokines, chemokines, and products of oxidative stress, as well as by extensive changes in the composition and organization of the ECM. Different groups of soluble factors may be classified according to their prevalent biological effect: (a) factors promoting HSC proliferation and/or migration (i.e., platelet-derived growth factor, basic fibroblast growth factor, insulin-like growth factor-1); (b) factors promoting fibrillar ECM accumulation, particularly transforming growth factor-beta1; (c) factors with a prevalent contractile effect on HSCs, such as endothelin-1, thrombin, angiotensin-II and vasopressin, although all these agents also may promote HSC proliferation; (d) proinflammatory cytokines and chemokines; and (e) cytokines with a prominent antiinflammatory/antifibrogenic activity, such as interleukin-10 and interferon-gamma. Additional important issues are represented by the relationship between cytokine and integrin signaling, and by the effects of oxidative stress-related molecules on cytokine signaling. In the past decade the major intracellular signaling pathways elicited by these factors in HSCs have been greatly elucidated.

446 citations

Journal ArticleDOI
TL;DR: It is shown that common genetic variation influences levels of clinically relevant proteins in human serum and plasma and the identification of protein quantitative trait loci (pQTLs) may be a powerful complementary method of improving the understanding of disease pathways.
Abstract: There is considerable evidence that human genetic variation influences gene expression. Genome-wide studies have revealed that mRNA levels are associated with genetic variation in or close to the gene coding for those mRNA transcripts – cis effects, and elsewhere in the genome – trans effects. The role of genetic variation in determining protein levels has not been systematically assessed. Using a genome-wide association approach we show that common genetic variation influences levels of clinically relevant proteins in human serum and plasma. We evaluated the role of 496,032 polymorphisms on levels of 42 proteins measured in 1200 fasting individuals from the population based InCHIANTI study. Proteins included insulin, several interleukins, adipokines, chemokines, and liver function markers that are implicated in many common diseases including metabolic, inflammatory, and infectious conditions. We identified eight Cis effects, including variants in or near the IL6R (p = 1.8×10−57), CCL4L1 (p = 3.9×10−21), IL18 (p = 6.8×10−13), LPA (p = 4.4×10−10), GGT1 (p = 1.5×10−7), SHBG (p = 3.1×10−7), CRP (p = 6.4×10−6) and IL1RN (p = 7.3×10−6) genes, all associated with their respective protein products with effect sizes ranging from 0.19 to 0.69 standard deviations per allele. Mechanisms implicated include altered rates of cleavage of bound to unbound soluble receptor (IL6R), altered secretion rates of different sized proteins (LPA), variation in gene copy number (CCL4L1) and altered transcription (GGT1). We identified one novel trans effect that was an association between ABO blood group and tumour necrosis factor alpha (TNF-alpha) levels (p = 6.8×10−40), but this finding was not present when TNF-alpha was measured using a different assay , or in a second study, suggesting an assay-specific association. Our results show that protein levels share some of the features of the genetics of gene expression. These include the presence of strong genetic effects in cis locations. The identification of protein quantitative trait loci (pQTLs) may be a powerful complementary method of improving our understanding of disease pathways.

446 citations

Journal ArticleDOI
TL;DR: The order in which JAK2 and TET2 mutations were acquired influenced clinical features, the response to targeted therapy, the biology of stem and progenitor cells, and clonal evolution in patients with myeloproliferative neoplasms.
Abstract: BACKGROUND Cancers result from the accumulation of somatic mutations, and their properties are thought to reflect the sum of these mutations. However, little is known about the effect of the order in which mutations are acquired. METHODS We determined mutation order in patients with myeloproliferative neoplasms by genotyping hematopoietic colonies or by means of next-generation sequencing. Stem cells and progenitor cells were isolated to study the effect of mutation order on mature and immature hematopoietic cells. RESULTS The age at which a patient presented with a myeloproliferative neoplasm, acquisition of JAK2 V617F homozygosity, and the balance of immature progenitors were all influenced by mutation order. As compared with patients in whom the TET2 mutation was acquired first (hereafter referred to as “TET2-first patients”), patients in whom the Janus kinase 2 (JAK2) mutation was acquired first (“JAK2-first patients”) had a greater likelihood of presenting with polycythemia vera than with essential thrombocythemia, an increased risk of thrombosis, and an increased sensitivity of JAK2-mutant progenitors to ruxolitinib in vitro. Mutation order influenced the proliferative response to JAK2 V617F and the capacity of double-mutant hematopoietic cells and progenitor cells to generate colony-forming cells. Moreover, the hematopoietic stem-and-progenitor-cell compartment was dominated by TET2 single-mutant cells in TET2-first patients but by JAK2–TET2 double-mutant cells in JAK2-first patients. Prior mutation of TET2 altered the transcriptional consequences of JAK2 V617F in a cell-intrinsic manner and prevented JAK2 V617F from up-regulating genes associated with proliferation. CONCLUSIONS The order in which JAK2 and TET2 mutations were acquired influenced clinical features, the response to targeted therapy, the biology of stem and progenitor cells, and clonal evolution in patients with myeloproliferative neoplasms. (Funded by Leukemia and Lymphoma Research and others.) abstr act

445 citations

Journal ArticleDOI
TL;DR: Serri et al. as mentioned in this paper proposed that the delamination and migration of the Adriatic continental lithosphere related to the di erention of the northern Apenninic arc magmatism can be explained by a geodynamic process which causes a variable amount of phlogopite through reaction between fluids and/or melts with the mantle.

445 citations


Authors

Showing all 27699 results

NameH-indexPapersCitations
Charles A. Dinarello1901058139668
D. M. Strom1763167194314
Gregory Y.H. Lip1693159171742
Christopher M. Dobson1501008105475
Dirk Inzé14964774468
Thomas Hebbeker1481984114004
Marco Zanetti1451439104610
Richard B. Devereux144962116403
Gunther Roland1411471100681
Markus Klute1391447104196
Tariq Aziz138164696586
Guido Tonelli138145897248
Giorgio Trinchieri13843378028
Christof Roland137130896632
Christoph Paus1371585100801
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023244
2022631
20215,298
20205,251
20194,652
20184,147