Institution
University of Luxembourg
Education•Luxembourg, Luxembourg•
About: University of Luxembourg is a education organization based out in Luxembourg, Luxembourg. It is known for research contribution in the topics: Population & European union. The organization has 4744 authors who have published 22175 publications receiving 381824 citations.
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TL;DR: This paper developed a unified framework describing the thermodynamics of information processing, suggesting that their analyses might be useful for biological sensing, such as copying and erasing, which has associated thermodynamic implications.
Abstract: Information manipulation such as copying and erasing has associated thermodynamic implications. Scientists develop a unified framework describing the thermodynamics of information processing, suggesting that their analyses might be useful for biological sensing.
286 citations
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Mayo Clinic1, French Institute of Health and Medical Research2, University of Tübingen3, University of Luxembourg4, Juntendo University5, University of Queensland6, Magna Græcia University7, National Research Council8, Osaka University9, Stony Brook University10, Tufts University11, University of Ioannina12
TL;DR: In a new large case-control study in white individuals, the S18Y variant was not protective against PD under any genetic model of inheritance, and a cumulative meta-analysis showed a trend toward a null effect.
Abstract: The reported inverse association between the S18Y variant of the ubiquitin carboxy-terminal hydrolase L1 (UCHL1) gene and Parkinson's disease (PD) has strong biological plausibility. If confirmed, genetic association of this variant with PD may support molecular targeting of the UCHL1 gene and its product as a therapeutic strategy for PD. In this light, we performed a collaborative pooled analysis of individual-level data from all 11 published studies of the UCHL1 S18Y gene variant and PD. There were 1,970 cases and 2,224 unrelated controls. We found a statistically significant inverse association of S18Y with PD. Carriers of the variant allele (Y/Y plus Y/S vs S/S) had an odds ratio (OR) of 0.84 (95% confidence interval [CI], 0.73-0.95) and homozygotes for the variant allele (Y/Y vs S/S plus Y/S) had an OR of 0.71 (95% CI, 0.57-0.88). There was a linear trend in the log OR consistent with a gene dose effect (p = 0.01). The inverse association was most apparent for young cases compared with young controls. There was no evidence for publication bias and the associations remained significant after excluding the first published, hypothesis-generating study. These findings confirm that UCHL1 is a susceptibility gene for PD and a potential target for disease-modifying therapies.
284 citations
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TL;DR: In this article, the authors proposed a unified nanoscale theory by showing how externally prepared systems (e.g., atoms in an optical cavity or DNA bases in an enzyme reaction) that interact with a nanoscopic device can be a source of nonequilbrium free energy.
Abstract: Nanomachines are subject to random thermal and quantum fluctuations that are not captured by traditional thermodynamic theory. A new theoretical investigation offers a step toward a unified nanoscale theory by showing how externally prepared systems (e.g., atoms in an optical cavity or DNA bases in an enzyme reaction) that interact with a nanoscopic device can be a source of nonequilbrium free energy.
284 citations
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Raffaele Ferrari1, Raffaele Ferrari2, Dena G. Hernandez3, Dena G. Hernandez1 +178 more•Institutions (54)
TL;DR: The findings suggest that immune system processes (link to 6p21.3) and possibly lysosomal and autophagy pathways ( link to 11q14) are potentially involved in FTD.
Abstract: Summary Background Frontotemporal dementia (FTD) is a complex disorder characterised by a broad range of clinical manifestations, differential pathological signatures, and genetic variability. Mutations in three genes— MAPT , GRN , and C9orf72 —have been associated with FTD. We sought to identify novel genetic risk loci associated with the disorder. Methods We did a two-stage genome-wide association study on clinical FTD, analysing samples from 3526 patients with FTD and 9402 healthy controls. To reduce genetic heterogeneity, all participants were of European ancestry. In the discovery phase (samples from 2154 patients with FTD and 4308 controls), we did separate association analyses for each FTD subtype (behavioural variant FTD, semantic dementia, progressive non-fluent aphasia, and FTD overlapping with motor neuron disease [FTD-MND]), followed by a meta-analysis of the entire dataset. We carried forward replication of the novel suggestive loci in an independent sample series (samples from 1372 patients and 5094 controls) and then did joint phase and brain expression and methylation quantitative trait loci analyses for the associated (p −8 ) single-nucleotide polymorphisms. Findings We identified novel associations exceeding the genome-wide significance threshold (p −8 ). Combined (joint) analyses of discovery and replication phases showed genome-wide significant association at 6p21.3, HLA locus (immune system), for rs9268877 (p=1·05 × 10 −8 ; odds ratio=1·204 [95% CI 1·11–1·30]), rs9268856 (p=5·51 × 10 −9 ; 0·809 [0·76–0·86]) and rs1980493 (p value=1·57 × 10 −8 , 0·775 [0·69–0·86]) in the entire cohort. We also identified a potential novel locus at 11q14, encompassing RAB38 / CTSC (the transcripts of which are related to lysosomal biology), for the behavioural FTD subtype for which joint analyses showed suggestive association for rs302668 (p=2·44 × 10 −7 ; 0·814 [0·71–0·92]). Analysis of expression and methylation quantitative trait loci data suggested that these loci might affect expression and methylation in cis . Interpretation Our findings suggest that immune system processes (link to 6p21.3) and possibly lysosomal and autophagy pathways (link to 11q14) are potentially involved in FTD. Our findings need to be replicated to better define the association of the newly identified loci with disease and to shed light on the pathomechanisms contributing to FTD. Funding The National Institute of Neurological Disorders and Stroke and National Institute on Aging, the Wellcome/MRC Centre on Parkinson's disease, Alzheimer's Research UK, and Texas Tech University Health Sciences Center.
282 citations
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TL;DR: A comprehensive survey of miRNA sequence variations from human and mouse samples using next generation sequencing platforms suggests that the process of generating this isomir spectrum might not be random and that heterogeneity at the ends of miRNAs affects the consistency and accuracy of mi RNA level measurement.
Abstract: MicroRNAs (miRNAs) have been implicated to play key roles in normal physiological functions, and altered expression of specific miRNAs has been associated with a number of diseases. It is of great interest to understand their roles and a prerequisite for such study is the ability to comprehensively and accurately assess the levels of the entire repertoire of miRNAs in a given sample. It has been shown that some miRNAs frequently have sequence variations termed isomirs. To better understand the extent of miRNA sequence heterogeneity and its potential implications for miRNA function and measurement, we conducted a comprehensive survey of miRNA sequence variations from human and mouse samples using next generation sequencing platforms. Our results suggest that the process of generating this isomir spectrum might not be random and that heterogeneity at the ends of miRNA affects the consistency and accuracy of miRNA level measurement. In addition, we have constructed a database from our sequencing data that catalogs the entire repertoire of miRNA sequences (http://galas.systemsbiology.net/cgi-bin/isomir/find.pl). This enables users to determine the most abundant sequence and the degree of heterogeneity for each individual miRNA species. This information will be useful both to better understand the functions of isomirs and to improve probe or primer design for miRNA detection and measurement.
282 citations
Authors
Showing all 4893 results
Name | H-index | Papers | Citations |
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Jun Wang | 166 | 1093 | 141621 |
Leroy Hood | 158 | 853 | 128452 |
Andreas Heinz | 108 | 1078 | 45002 |
Philippe Dubois | 101 | 1098 | 48086 |
John W. Berry | 97 | 351 | 52470 |
Michael Müller | 91 | 333 | 26237 |
Bart Preneel | 82 | 844 | 25572 |
Bjorn Ottersten | 81 | 1058 | 28359 |
Sander Kersten | 79 | 246 | 23985 |
Alexandre Tkatchenko | 77 | 271 | 26863 |
Rudi Balling | 75 | 238 | 19529 |
Lionel C. Briand | 75 | 380 | 24519 |
Min Wang | 72 | 716 | 19197 |
Stephen H. Friend | 70 | 184 | 53422 |
Ekhard K. H. Salje | 70 | 581 | 19938 |