62 Works

Data from: Juveniles and migrants as drivers for seasonal epizootics of avian influenza virus

Jacintha G. B. Van Dijk, Bethany J. Hoye, Josanne H. Verhagen, Bart A. Nolet, Ron A. M. Fouchier & Marcel Klaassen
1. Similar to other infectious diseases, the prevalence of low pathogenic avian influenza viruses (LPAIV) has been seen to exhibit marked seasonal variation. However, mechanisms driving this variation in wild birds have yet to be tested. We investigated the validity of three previously suggested drivers for the seasonal dynamics in LPAIV infections in wild birds: (1) host density, (2) immunologically-naïve young, and (3) increased susceptibility in migrants. 2. To address these questions, we sampled a...

Data from: Whole-cell properties of cerebellar nuclei neurons in vivo

Cathrin B. Canto, Laurens Witter & Chris I. De Zeeuw
Cerebellar nuclei neurons integrate sensorimotor information and form the final output of the cerebellum, projecting to premotor brainstem targets. This implies that, in contrast to specialized neurons and interneurons in cortical regions, neurons within the nuclei encode and integrate complex information that is most likely reflected in a large variation of intrinsic membrane properties and integrative capacities of individual neurons. Yet, whether this large variation in properties is reflected in a heterogeneous physiological cell population...

Data from: SK2 channels in cerebellar Purkinje cells contribute to excitability modulation in motor learning-specific memory traces

Giorgio Grasselli, Henk-Jan Boele, Heather K. Titley, Nora Bradford, Lisa Van Beers, Lindsey Jay, Chris I. De Zeeuw, Martijn Schonewille, Christian Hansel, Gerco Beekhof & Silas Busch
Neurons store information by changing synaptic input weights. In addition, they can adjust their membrane excitability to alter spike output. Here, we demonstrate a role of such ‘intrinsic plasticity’ in behavioral learning in a mouse model that allows us to detect consequences of absent excitability modulation, without alterations in synaptic plasticity. SK2-type, calcium-dependent K+ conductances are involved in excitability control as they contribute to the afterhyperpolarization (AHP) following spike bursts. SK2 channels are downregulated in...

Additional file 10 of Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies

Anil P. S. Ori, Ake T. Lu, Steve Horvath & Roel A. Ophoff
Additional file 10. Table that describes sample quality control statistics.

Additional file 11 of Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies

Anil P. S. Ori, Ake T. Lu, Steve Horvath & Roel A. Ophoff
Additional file 11. Table that describes general information on DNAm predictors implemented.

Additional file 2 of Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies

Anil P. S. Ori, Ake T. Lu, Steve Horvath & Roel A. Ophoff
Additional file 2. Table that describes full ICC statistics.

Additional file 9 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis

Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 9: Data S4. In silico screening predictions of combinatorial treatments. (Microsoft Excel Worksheet). This file reports the results of a screening of combinatorial perturbations. More particularly, it reports all conditions that lead to a transition towards a healthy chondrocyte (SOX9+) when starting from a hypertrophic-like chondrocyte (Runx2+). The first sheet reports conditions leading to such transition 100% of the time, between 99 and 90% of the time for the next sheet and so...

Additional file 1 of The effect of a locally tailored intervention on the uptake of preconception care in the Netherlands: a stepped-wedge cluster randomized trial (APROPOS-II study)

V. Y. F. Maas, M. Poels, E. Ista, L. F. Menge, K. L. H. E. Vanden Auweele, R. W. A. de Bie, D. J. de Smit, E. H. van Vliet-Lachotzki, A. Franx & M. P. H. Koster
Additional file 1: Supplemental File 1. Questionnaire for women. Supplemental File 2. Questionnaire for men. Supplemental File 3. Questionnaire for healthcare providers.

Data from: Insight in genome-wide association of metabolite quantitative traits by exome sequence analyses

Ayşe Demirkan, Peter Henneman, Aswin Verhoeven, Harish Dharuri, Najaf Amin, Jan Bert Van Klinken, Lennart C. Karssen, Boukje De Vries, Axel Meissner, Sibel Göraler, Arn M. J. M. Van Den Maagdenberg, André M. Deelder, , Cornelia M. Van Duijn & Ko Willems Van Dijk
Metabolite quantitative traits carry great promise for epidemiological studies, and their genetic background has been addressed using Genome-Wide Association Studies (GWAS). Thus far, the role of less common variants has not been exhaustively studied. Here, we set out a GWAS for metabolite quantitative traits in serum, followed by exome sequence analysis to zoom in on putative causal variants in the associated genes. 1H Nuclear Magnetic Resonance (1H-NMR) spectroscopy experiments yielded successful quantification of 42 unique...

Data from: Coverage of the 2011 Q fever vaccination campaign in the Netherlands, using retrospective population-based prevalence estimation of cardiovascular risk-conditions for chronic Q fever

Patricia E. Vermeer-De Bondt, Teske Schoffelen, Ann M. Vanrolleghem, Leslie D. Isken, Marcel Van Deuren, Miriam C. J. M. Sturkenboom & Aura Timen
Background: In 2011, a unique Q fever vaccination campaign targeted people at risk for chronic Q fever in the southeast of the Netherlands. General practitioners referred patients with defined cardiovascular risk-conditions (age >15 years). Prevalence rates of those risk-conditions were lacking, standing in the way of adequate planning and coverage estimation. We aimed to obtain prevalence rates retrospectively in order to estimate coverage of the Q fever vaccination campaign. Methods: With broad search terms for...

Data from: The implicitome: a resource for rationalizing gene-disease associations

Kristina M. Hettne, Mark Thompson, Herman H. H. B. M. Van Haagen, Eelke Van Der Horst, Rajaram Kaliyaperumal, Eleni Mina, Zuotian Tatum, Jeroen F. J. Laros, Erik M. Van Mulligen, Martijn Schuemie, Emmelien Aten, Tong Shu Li, Richard Bruskiewich, Benjamin M. Good, Andrew I. Su, Jan A. Kors, Johan Den Dunnen, Gert-Jan Van Ommen, Marco Roos, , Barend Mons, Erik A. Schultes, Gert-Jan B. Van Ommen &
High-throughput experimental methods such as medical sequencing and genome-wide association studies (GWAS) identify increasingly large numbers of potential relations between genetic variants and diseases. Both biological complexity (millions of potential gene-disease associations) and the accelerating rate of data production necessitate computational approaches to prioritize and rationalize potential gene-disease relations. Here, we use concept profile technology to expose from the biomedical literature both explicitly stated gene-disease relations (the explicitome) and a much larger set of implied...

Sex differences in response to triptans: a systematic review and meta-analysis

Daphne Van Casteren, Tobias Kurth, A.H. Jan Danser, Gisela M. Terwindt & Antoinette MaassenVanDenBrink
Objective: To examine the effect of sex on clinical response to triptans and to determine whether these differences are related to pharmacokinetics of triptans in men and women, we performed a systematic review and meta-analysis. Methods: We searched clinical trials distinguishing clinical response to or pharmacokinetic parameters of triptans between sexes in PubMed, MEDLINE, Cochrane Library, Embase and Web of Science up to Dec 12, 2019. Analysis was based on data extracted from published reports....

Additional file 6 of Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies

Anil P. S. Ori, Ake T. Lu, Steve Horvath & Roel A. Ophoff
Additional file 6. Table that describes statistics of associations of ICC with phenotypes.

Additional file 10 of Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies

Anil P. S. Ori, Ake T. Lu, Steve Horvath & Roel A. Ophoff
Additional file 10. Table that describes sample quality control statistics.

Additional file 11 of Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies

Anil P. S. Ori, Ake T. Lu, Steve Horvath & Roel A. Ophoff
Additional file 11. Table that describes general information on DNAm predictors implemented.

Additional file 4 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study

Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 4: Supplementary Table 1. Results of the effect of genetically predicted longer telomere length on AD endophenotypes in the entire sample. Supplementary Table 2. Results of the effect of genetically predicted longer telomere length on AD endophenotypes among APOE-ɛ4 carriers. Supplementary Table 3. Results of the effect of genetically predicted longer telomere length on AD endophenotypes among APOE-ɛ4 non-carriers. Supplementary Table 4. Results of the effect of genetically predicted longer telomere length on...

Additional file 5 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study

Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 5: Supplementary Figure 1. Leave-one-out permutation analysis plot for AD signature among individuals at high genetic predisposition to AD obtained by leaving out the SNP indicated and repeating the Inverse-Variance Weighted method with the rest of the instrumental variables. Supplementary Figure 2. Leave-one-out permutation analysis plot for Aging signature among individuals at high genetic predisposition to AD, obtained by leaving out the SNP indicated and repeating the Inverse-Variance Weighted method with the rest...

Additional file 1 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study

Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 1: Supplementary Table 1. Characteristics of Single Nucleotide Polymorphisms (SNPs) associated with longer telomere length. The effect allele refers to the allele that is associated with longer telomere length. Chromosomal position of the SNPs (genome assembly GRCh37 (hg19)) according to the public archive for genetic variation within and across different species developed and hosted by the National Center for Biotechnology Information (NCBI) in collaboration with the National Human Genome Research Institute (NHGRI) (dbSNP).

Additional file 4 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis

Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 4: Data S1. Subset of genes for gene expression profiles and description of GEO datasets with manual binary annotations.

Additional file 8 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis

Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 8: Data S3. Attractors complete protein and gene expression profiles. (Microsoft Excel Worksheet). The predicted profiles of the 3 attractors are reported for all variables. The dataset contains the values of the fast sub-variables (i.e. protein subnetwork), slow sub-variables (i.e. gene subnetwork) and the global functional activity.

Additional file 9 of An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis

Raphaëlle Lesage, Mauricio N. Ferrao Blanco, Roberto Narcisi, Tim Welting, Gerjo J. V. M. van Osch & Liesbet Geris
Additional file 9: Data S4. In silico screening predictions of combinatorial treatments. (Microsoft Excel Worksheet). This file reports the results of a screening of combinatorial perturbations. More particularly, it reports all conditions that lead to a transition towards a healthy chondrocyte (SOX9+) when starting from a hypertrophic-like chondrocyte (Runx2+). The first sheet reports conditions leading to such transition 100% of the time, between 99 and 90% of the time for the next sheet and so...

Data from: Integrated analysis and visualization of group differences in structural and functional brain connectivity: applications in typical ageing and schizophrenia

Carolyn D. Langen, Tonya J. White, M. Arfan Ikram, Meike W. Vernooij & Wiro J. Niessen
Structural and functional brain connectivity are increasingly used to identify and analyze group differences in studies of brain disease. This study presents methods to analyze uni- and bi-modal brain connectivity and evaluate their ability to identify differences. Novel visualizations of significantly different connections comparing multiple metrics are presented. On the global level, “bi-modal comparison plots” show the distribution of uni- and bi-modal group differences and the relationship between structure and function. Differences between brain lobes...

Structural disconnectivity and the risk of dementia in the general population

Lotte Cremers, Frank Wolters, Marius De Groot, Kamran Ikram, Aad Van Der Lugt, Wiro Niessen, Meike Vernooij & Arfan Ikram
Objective: The disconnectivity hypothesis postulates that partial loss of connecting white matter fibers between brain regions contributes to the development of dementia. Using diffusion-magnetic resonance imaging (MRI) to quantify global and tract-specific white matter microstructural integrity, we tested this hypothesis in a longitudinal population-based setting. Methods: Global and tract-specific measures of fractional anisotropy (FA) and mean diffusivity (MD) were obtained in 4,415 non-demented persons (mean age 63.9 years (SD 11.0), 55.0% women) from the prospective...

Data from: Attitudes among transplant professionals regarding shifting paradigms in eligibility criteria for live kidney donation

Jeffrey A. Lafranca, Emerentia Q. W. Spoon, Jacqueline Van De Wetering, Jan N. M. Ijzermans & Frank J. M. F. Dor
Background The transplant community increasingly accepts extended criteria live kidney donors, however, great (geographical) differences are present in policies regarding the acceptance of these donors, and guidelines do not offer clarity. The aim of this survey was to reveal these differences and to get an insight in both centre policies as well as personal beliefs of transplant professionals. Methods An online survey was sent to 1128 ESOT-members. Questions were included about several extended donor criteria;...

Data from: Functional and evolutionary consequences of cranial fenestration in birds

Sander W.S. Gussekloo, Michael A. Berthaume, Daniel R Pulaski, Irene Westbroek, Jan H. Waarsing, Robin Heinen, Ian R. Grosse, Elizabeth R. Dumont & Sander W. S. Gussekloo
Ostrich-like birds (Palaeognathae) show very little taxonomic diversity while their sister taxon (Neognathae) contains roughly 10000 species. The main anatomical differences between the two taxa are in the crania. Palaeognaths lack an element in the bill called the lateral bar that is present in both ancestral theropods and modern neognaths, have thin zones in the bones of the bill, and robust bony elements on the ventral surface of their crania. Here we use a combination...

Registration Year

  • 2022
    40
  • 2021
    3
  • 2020
    3
  • 2019
    2
  • 2018
    3
  • 2017
    3
  • 2016
    2
  • 2015
    2
  • 2014
    2
  • 2013
    2

Resource Types

  • Dataset
    62

Affiliations

  • Erasmus MC
    41
  • Erasmus University Medical Center
    20
  • Pasqual Maragall Foundation
    10
  • University College London
    10
  • Hospital Del Mar
    10
  • Barcelona Institute for Science and Technology
    10
  • Josep Carreras Leukaemia Research Institute
    9
  • Roche (Switzerland)
    9
  • Instituto de Salud Carlos III
    9
  • Hong Kong University of Science and Technology
    9