Institution
French Institute of Health and Medical Research
Government•Paris, France•
About: French Institute of Health and Medical Research is a government organization based out in Paris, France. It is known for research contribution in the topics: Population & Receptor. The organization has 109367 authors who have published 174236 publications receiving 8365503 citations.
Topics: Population, Receptor, Immune system, Transplantation, T cell
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Current clinical and molecular aspects of LCINS are reviewed, including the type of molecular mutation in p53 or KRAS varies with smoking status, which is a strong argument in favour of separate genetic paths to cancer for ever smokers and never smokers.
728 citations
••
Evangelos Evangelou1, Evangelos Evangelou2, Helen R. Warren3, Helen R. Warren4 +338 more•Institutions (93)
TL;DR: In this article, the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry was conducted.
Abstract: High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future
728 citations
••
TL;DR: Two unrelated infants homozygous with respect to mutated STAT1 alleles are reported, both infants suffered from mycobacterial disease, but unlike individuals with IFN-γR deficiency, both died of viral disease.
Abstract: The receptors for interferon-alpha/beta (IFN-alpha/beta) and IFN-gamma activate components of the Janus kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway, leading to the formation of at least two transcription factor complexes. STAT1 interacts with STAT2 and p48/IRF-9 to form the transcription factor IFN-stimulated gene factor 3 (ISGF3). STAT1 dimers form gamma-activated factor (GAF). ISGF3 is induced mainly by IFN-alpha/beta, and GAF by IFN-gamma, although both factors can be activated by both types of IFN. Individuals with mutations in either chain of the IFN-gamma receptor (IFN-gammaR) are susceptible to infection with mycobacteria. A heterozygous STAT1 mutation that impairs GAF but not ISGF3 activation has been found in other individuals with mycobacterial disease. No individuals with deleterious mutations in the IFN-alpha/beta signaling pathway have been described. We report here two unrelated infants homozygous with respect to mutated STAT1 alleles. Neither IFN-alpha/beta nor IFN-gamma activated STAT1-containing transcription factors. Like individuals with IFN-gammaR deficiency, both infants suffered from mycobacterial disease, but unlike individuals with IFN-gammaR deficiency, both died of viral disease. Viral multiplication was not inhibited by recombinant IFN-alpha/beta in cell lines from the two individuals. Inherited impairment of the STAT1-dependent response to human IFN-alpha/beta thus results in susceptibility to viral disease.
727 citations
••
TL;DR: Whole-genome sequencing and phenotyping of 1,011 natural isolates of the yeast Saccharomyces cerevisiae reveal its evolutionary history, including a single out-of-China origin and multiple domestication events, and provides a framework for genotype–phenotype studies in this model organism.
Abstract: Large-scale population genomic surveys are essential to explore the phenotypic diversity of natural populations. Here we report the whole-genome sequencing and phenotyping of 1,011 Saccharomyces cerevisiae isolates, which together provide an accurate evolutionary picture of the genomic variants that shape the species-wide phenotypic landscape of this yeast. Genomic analyses support a single ‘out-of-China’ origin for this species, followed by several independent domestication events. Although domesticated isolates exhibit high variation in ploidy, aneuploidy and genome content, genome evolution in wild isolates is mainly driven by the accumulation of single nucleotide polymorphisms. A common feature is the extensive loss of heterozygosity, which represents an essential source of inter-individual variation in this mainly asexual species. Most of the single nucleotide polymorphisms, including experimentally identified functional polymorphisms, are present at very low frequencies. The largest numbers of variants identified by genome-wide association are copy-number changes, which have a greater phenotypic effect than do single nucleotide polymorphisms. This resource will guide future population genomics and genotype–phenotype studies in this classic model system. Whole-genome sequencing of 1,011 natural isolates of the yeast Saccharomyces cerevisiae reveals its evolutionary history, including a single out-of-China origin and multiple domestication events, and provides a framework for genotype–phenotype studies in this model organism.
727 citations
••
Technical University of Madrid1, Spanish National Research Council2, University of Pennsylvania3, Washington University in St. Louis4, Pierre-and-Marie-Curie University5, Universidad Miguel Hernández de Elche6, RWTH Aachen University7, New York University8, Max Planck Society9, Hungarian Academy of Sciences10, University of Pittsburgh11, Stanford University12, École Polytechnique Fédérale de Lausanne13, Icahn School of Medicine at Mount Sinai14, Cold Spring Harbor Laboratory15, University of Debrecen16, National Institutes of Health17, Technische Universität München18, German Cancer Research Center19, Brandeis University20, Boston University21, French Institute of Health and Medical Research22, University of California, San Francisco23, University of California, San Diego24, Yale University25, George Washington University26, University of Göttingen27, University of Szeged28, University College London29, Tufts University30, Wenzhou Medical College31, Howard Hughes Medical Institute32, Krasnow Institute for Advanced Study33
TL;DR: A possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria is described.
Abstract: A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.
727 citations
Authors
Showing all 109539 results
Name | H-index | Papers | Citations |
---|---|---|---|
Guido Kroemer | 236 | 1404 | 246571 |
Pierre Chambon | 211 | 884 | 161565 |
Peer Bork | 206 | 697 | 245427 |
Ronald M. Evans | 199 | 708 | 166722 |
Raymond J. Dolan | 196 | 919 | 138540 |
Matthew Meyerson | 194 | 553 | 243726 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Julie E. Buring | 186 | 950 | 132967 |
Tadamitsu Kishimoto | 181 | 1067 | 130860 |
Didier Raoult | 173 | 3267 | 153016 |
Giuseppe Remuzzi | 172 | 1226 | 160440 |
Zena Werb | 168 | 473 | 122629 |
Nahum Sonenberg | 167 | 647 | 104053 |
Philippe Froguel | 166 | 820 | 118816 |
Gordon J. Freeman | 164 | 579 | 105193 |