Institution
University of Lausanne
Education•Lausanne, Switzerland•
About: University of Lausanne is a education organization based out in Lausanne, Switzerland. It is known for research contribution in the topics: Population & Medicine. The organization has 20508 authors who have published 46458 publications receiving 1996655 citations. The organization is also known as: Université de Lausanne & UNIL.
Topics: Population, Medicine, Context (language use), Gene, Immune system
Papers published on a yearly basis
Papers
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TL;DR: The purpose of this chapter is to present a guided tour of a UniProtKB/Swiss-Prot entry, and some of the tools and databases that are linked to each entry.
Abstract: The Universal Protein Resource (UniProt, http://www.uniprot.org ) consortium is an initiative of the SIB Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI) and the Protein Information Resource (PIR) to provide the scientific community with a central resource for protein sequences and functional information. The UniProt consortium maintains the UniProt KnowledgeBase (UniProtKB), updated every 4 weeks, and several supplementary databases including the UniProt Reference Clusters (UniRef) and the UniProt Archive (UniParc).The Swiss-Prot section of the UniProt KnowledgeBase (UniProtKB/Swiss-Prot) contains publicly available expertly manually annotated protein sequences obtained from a broad spectrum of organisms. Plant protein entries are produced in the frame of the Plant Proteome Annotation Program (PPAP), with an emphasis on characterized proteins of Arabidopsis thaliana and Oryza sativa. High level annotations provided by UniProtKB/Swiss-Prot are widely used to predict annotation of newly available proteins through automatic pipelines.The purpose of this chapter is to present a guided tour of a UniProtKB/Swiss-Prot entry. We will also present some of the tools and databases that are linked to each entry.
590 citations
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TL;DR: This work has shown that chromosomes in the cell nucleus are organized as chromosome territories, and present models of chromosome territory architecture differ widely with respect to the possible functional implications of dynamic changes of this architecture during the cell cycle and terminal cell differentiation.
590 citations
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TL;DR: The ANLS model now represents a useful, experimentally based framework to better understand the coupling between neuronal activity and energetics as it relates to neuronal plasticity, neurodegeneration, and functional brain imaging.
Abstract: Since its introduction 16 years ago, the astrocyte-neuron lactate shuttle (ANLS) model has profoundly modified our understanding of neuroenergetics by bringing a cellular and molecular resolution. Praised or disputed, the concept has never ceased to attract attention, leading to critical advances and unexpected insights. Here, we summarize recent experimental evidence further supporting the main tenets of the model. Thus, evidence for distinct metabolic phenotypes between neurons (mainly oxidative) and astrocytes (mainly glycolytic) have been provided by genomics and classical metabolic approaches. Moreover, it has become clear that astrocytes act as a syncytium to distribute energy substrates such as lactate to active neurones. Glycogen, the main energy reserve located in astrocytes, is used as a lactate source to sustain glutamatergic neurotransmission and synaptic plasticity. Lactate is also emerging as a neuroprotective agent as well as a key signal to regulate blood flow. Characterization of monocarboxylate transporter regulation indicates a possible involvement in synaptic plasticity and memory. Finally, several modeling studies captured the implications of such findings for many brain functions. The ANLS model now represents a useful, experimentally based framework to better understand the coupling between neuronal activity and energetics as it relates to neuronal plasticity, neurodegeneration, and functional brain imaging.
588 citations
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TL;DR: When, why, and how random measurement error introduces bias is explained and strategies for researchers to minimise the problem are provided.
Abstract: Random measurement error is a pervasive problem in medical research, which can introduce bias to an estimate of the association between a risk factor and a disease or make a true association statistically non-significant. Hutcheon and colleagues explain when, why, and how random measurement error introduces bias and provides strategies for researchers to minimise the problem
587 citations
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TL;DR: It is shown that alum adjuvant induces the release of IL-1β from macrophages and dendritic cells and that this is abrogated in cells lacking various NALP3 inflammasome components, and it is proposed that, in addition to TLR stimulators, agonists of the NALPsome should also be considered as vaccine adjuvants.
Abstract: Adjuvants are vaccine additives that stimulate the immune system without having any specific antigenic effect of itself In this study we show that alum adjuvant induces the release of IL-1beta from macrophages and dendritic cells and that this is abrogated in cells lacking various NALP3 inflammasome components The NALP3 inflammasome is also required in vivo for the innate immune response to OVA in alum The early production of IL-1beta and the influx of inflammatory cells into the peritoneal cavity is strongly reduced in NALP3-deficient mice The activation of adaptive cellular immunity to OVA-alum is initiated by monocytic dendritic cell precursors that induce the expansion of Ag-specific T cells in a NALP3-dependent way We propose that, in addition to TLR stimulators, agonists of the NALP3 inflammasome should also be considered as vaccine adjuvants
586 citations
Authors
Showing all 20911 results
Name | H-index | Papers | Citations |
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Peer Bork | 206 | 697 | 245427 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Kari Alitalo | 174 | 817 | 114231 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
Johan Auwerx | 158 | 653 | 95779 |
Silvia Franceschi | 155 | 1340 | 112504 |
Matthias Egger | 152 | 901 | 184176 |
Bart Staels | 152 | 824 | 86638 |
Fernando Rivadeneira | 146 | 628 | 86582 |
Christopher George Tully | 142 | 1843 | 111669 |
Richard S. J. Frackowiak | 142 | 309 | 100726 |
Peter Timothy Cox | 140 | 1267 | 95584 |
Jürg Tschopp | 140 | 328 | 86900 |
Stylianos E. Antonarakis | 138 | 746 | 93605 |
Michael Weller | 134 | 1105 | 91874 |