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University of Zurich

EducationZurich, Switzerland
About: University of Zurich is a education organization based out in Zurich, Switzerland. It is known for research contribution in the topics: Population & Medicine. The organization has 50842 authors who have published 124042 publications receiving 5304521 citations. The organization is also known as: UZH & Uni Zurich.


Papers
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Journal ArticleDOI
TL;DR: A "long tail" of new mitogen-activated protein kinase (MAPK) pathway alterations (MAP2K2, MITF) that confer RAF inhibitor resistance are discovered that may model subsequent resistance studies of BRAF(V600)-mutant melanoma.
Abstract: Most patients with BRAF(V600)-mutant metastatic melanoma develop resistance to selective RAF kinase inhibitors. The spectrum of clinical genetic resistance mechanisms to RAF inhibitors and options for salvage therapy are incompletely understood. We performed whole-exome sequencing on formalin-fixed, paraffin-embedded tumors from 45 patients with BRAF(V600)-mutant metastatic melanoma who received vemurafenib or dabrafenib monotherapy. Genetic alterations in known or putative RAF inhibitor resistance genes were observed in 23 of 45 patients (51%). Besides previously characterized alterations, we discovered a "long tail" of new mitogen-activated protein kinase (MAPK) pathway alterations (MAP2K2, MITF) that confer RAF inhibitor resistance. In three cases, multiple resistance gene alterations were observed within the same tumor biopsy. Overall, RAF inhibitor therapy leads to diverse clinical genetic resistance mechanisms, mostly involving MAPK pathway reactivation. Novel therapeutic combinations may be needed to achieve durable clinical control of BRAF(V600)-mutant melanoma. Integrating clinical genomics with preclinical screens may model subsequent resistance studies.

770 citations

Journal ArticleDOI
TL;DR: A precise mathematical formulation of the model for evoked potential recordings is presented, where the microstates are represented as normalized vectors constituted by scalp electric potentials due to the underlying generators.
Abstract: A brain microstate is defined as a functional/physiological state of the brain during which specific neural computations are performed. It is characterized uniquely by a fixed spatial distribution of active neuronal generators with time varying intensity. Brain electrical activity is modeled as being composed of a time sequence of nonoverlapping microstates with variable duration. A precise mathematical formulation of the model for evoked potential recordings is presented, where the microstates are represented as normalized vectors constituted by scalp electric potentials due to the underlying generators. An algorithm is developed for estimating the microstates, based on a modified version of the classical k-means clustering method, in which cluster orientations are estimated, Consequently, each instantaneous multichannel evoked potential measurement is classified as belonging to some microstate, thus producing a natural segmentation of brain activity. Use is made of statistical image segmentation techniques for obtaining smooth continuous segments. Time varying intensities are estimated by projecting the measurements onto their corresponding microstates. A goodness of fit statistic for the model is presented. Finally, a method is introduced for estimating the number of microstates, based on nonparametric data-driven statistical resampling techniques. >

770 citations

Journal ArticleDOI
TL;DR: In this paper, the authors conducted a comprehensive intercomparison of this type (multimethod, multilab, and multisample), focusing mainly on methods used for soil and sediment BC studies.
Abstract: Black carbon (BC), the product of incomplete combustion of fossil fuels and biomass (called elemental carbon (EC) in atmospheric sciences), was quantified in 12 different materials by 17 laboratories from different disciplines, using seven different methods. The materials were divided into three classes: (1) potentially interfering materials, (2) laboratory-produced BC-rich materials, and (3) BC-containing environmental matrices (from soil, water, sediment, and atmosphere). This is the first comprehensive intercomparison of this type (multimethod, multilab, and multisample), focusing mainly on methods used for soil and sediment BC studies. Results for the potentially interfering materials (which by definition contained no fire-derived organic carbon) highlighted situations where individual methods may overestimate BC concentrations. Results for the BC-rich materials (one soot and two chars) showed that some of the methods identified most of the carbon in all three materials as BC, whereas other methods identified only soot carbon as BC. The different methods also gave widely different BC contents for the environmental matrices. However, these variations could be understood in the light of the findings for the other two groups of materials, i.e., that some methods incorrectly identify non-BC carbon as BC, and that the detection efficiency of each technique varies across the BC continuum. We found that atmospheric BC quantification methods are not ideal for soil and sediment studies as in their methodology these incorporate the definition of BC as light-absorbing material irrespective of its origin, leading to biases when applied to terrestrial and sedimentary materials. This study shows that any attempt to merge data generated via different methods must consider the different, operationally defined analytical windows of the BC continuum detected by each technique, as well as the limitations and potential biases of each technique. A major goal of this ring trial was to provide a basis on which to choose between the different BC quantification methods in soil and sediment studies. In this paper we summarize the advantages and disadvantages of each method. In future studies, we strongly recommend the evaluation of all methods analyzing for BC in soils and sediments against the set of BC reference materials analyzed here.

769 citations

Journal ArticleDOI
TL;DR: Atherothrombosis is a complex disease in which cholesterol deposition, inflammation, and thrombus formation play a major role, and the role of eccentric remodeling, vasa vasorum neovascularization, and mechanisms of plaque rupture are systematically evaluated.

769 citations

Journal ArticleDOI
25 Jan 1996-Nature
TL;DR: In addition to being resistant to scrapie infection, brain tissue devoid of PrPc is not damaged by exogenous PrPSc, and even 16 months after inoculation no pathological changes were seen in PrP-deficient tissue, not even in the immediate vicinity of the grafts.
Abstract: Accumulation of the prion protein PrPSc, a pathological and protease-resistant isoform of the normal host protein PrPC, is a feature of prion disease such as scrapie. It is still unknown whether scrapie pathology comes about by neurotoxicity of PrPSc, acute depletion of PrPC, or some other mechanism. Here we investigate this question by grafting neural tissue overexpressing PrPC into the brain of PrP-deficient mice which are scrapie-resistant and do not propagate infectivity. After intracerebral inoculation with scrapie prions, the grafts accumulated high levels of PrPSc and infectivity and developed the severe histopathological changes characteristic of scrapie. Moreover, substantial amounts of graft-derived PrPSc migrated into the host brain. Even 16 months after inoculation no pathological changes were seen in PrP-deficient tissue, not even in the immediate vicinity of the grafts. Therefore, in addition to being resistant to scrapie infection, brain tissue devoid of PrPC is not damaged by exogenous PrPSc.

768 citations


Authors

Showing all 51384 results

NameH-indexPapersCitations
Richard A. Flavell2311328205119
Peer Bork206697245427
Thomas C. Südhof191653118007
Stuart H. Orkin186715112182
Ruedi Aebersold182879141881
Tadamitsu Kishimoto1811067130860
Stanley B. Prusiner16874597528
Yang Yang1642704144071
Tomas Hökfelt158103395979
Dan R. Littman157426107164
Hans Lassmann15572479933
Matthias Egger152901184176
Lorenzo Bianchini1521516106970
Robert M. Strieter15161273040
Ashok Kumar1515654164086
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023265
20221,039
20218,997
20208,398
20197,336
20186,832