Institution
University of Zurich
Education•Zurich, Switzerland•
About: University of Zurich is a education organization based out in Zurich, Switzerland. It is known for research contribution in the topics: Population & Transplantation. The organization has 50842 authors who have published 124042 publications receiving 5304521 citations. The organization is also known as: UZH & Uni Zurich.
Papers published on a yearly basis
Papers
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TL;DR: An overview on molecular and cellular mechanisms of apoptosis and recent developments is presented and a vast array of different neuroprotective cytokines that are applied in light-damage and RP animal models and show diverging efficacy are described.
614 citations
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TL;DR: This tutorial provides guidelines on how to set up and plan a SWATH‐MS experiment, how to perform the mass spectrometric measurement and how to analyse SWath‐MS data using peptide‐centric scoring.
Abstract: Many research questions in fields such as personalized medicine, drug screens or systems biology depend on obtaining consistent and quantitatively accurate proteomics data from many samples. SWATH-MS is a specific variant of data-independent acquisition (DIA) methods and is emerging as a technology that combines deep proteome coverage capabilities with quantitative consistency and accuracy. In a SWATH-MS measurement, all ionized peptides of a given sample that fall within a specified mass range are fragmented in a systematic and unbiased fashion using rather large precursor isolation windows. To analyse SWATH-MS data, a strategy based on peptide-centric scoring has been established, which typically requires prior knowledge about the chromatographic and mass spectrometric behaviour of peptides of interest in the form of spectral libraries and peptide query parameters. This tutorial provides guidelines on how to set up and plan a SWATH-MS experiment, how to perform the mass spectrometric measurement and how to analyse SWATH-MS data using peptide-centric scoring. Furthermore, concepts on how to improve SWATH-MS data acquisition, potential trade-offs of parameter settings and alternative data analysis strategies are discussed.
613 citations
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TL;DR: The aim of this work is to provide a systematic review and meta-analysis of the literature on sun-damaged skin that shows clear trends in prognosis and recommend a number of simple and effective treatments to correct these problems.
612 citations
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TL;DR: GAP-43 is established as an intrinsic presynaptic determinant for neurite outgrowth and plasticity by targeting constitutive expression of the growth-associated protein GAP- 43 to the neurons of adult transgenic mice.
612 citations
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TL;DR: Many transcription factors contain proline- or glutamine-rich activation domains and it is shown that simple homopolymeric stretches of these amino acids can activate transcription when fused to the DNA binding domain of GAL4 factor.
Abstract: Many transcription factors contain proline- or glutamine-rich activation domains. Here it is shown that simple homopolymeric stretches of these amino acids can activate transcription when fused to the DNA binding domain of GAL4 factor. In vitro, activity increased with polymer length, whereas in cell transfection assays maximal activity was achieved by 10 to 30 glutamines or about 10 prolines. Similar results were obtained when glutamine stretches were placed within a [GAL4]-VP16 chimeric protein. Because these stretches are encoded by rapidly evolving triplet repeats (microsatellites), they may be the main cause for modulation of transcription factor activity and thus result in subtle or overt genomic effects.
611 citations
Authors
Showing all 51384 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard A. Flavell | 231 | 1328 | 205119 |
Peer Bork | 206 | 697 | 245427 |
Thomas C. Südhof | 191 | 653 | 118007 |
Stuart H. Orkin | 186 | 715 | 112182 |
Ruedi Aebersold | 182 | 879 | 141881 |
Tadamitsu Kishimoto | 181 | 1067 | 130860 |
Stanley B. Prusiner | 168 | 745 | 97528 |
Yang Yang | 164 | 2704 | 144071 |
Tomas Hökfelt | 158 | 1033 | 95979 |
Dan R. Littman | 157 | 426 | 107164 |
Hans Lassmann | 155 | 724 | 79933 |
Matthias Egger | 152 | 901 | 184176 |
Lorenzo Bianchini | 152 | 1516 | 106970 |
Robert M. Strieter | 151 | 612 | 73040 |
Ashok Kumar | 151 | 5654 | 164086 |