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Dive into the research topics where Roderick C. Slieker is active.

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Featured researches published by Roderick C. Slieker.


Nature Communications | 2014

DNA Methylation Signatures Link Prenatal Famine Exposure to Growth and Metabolism

Elmar W. Tobi; Jelle J. Goeman; Ramin Monajemi; Hongcang Gu; Hein Putter; Yanju Zhang; Roderick C. Slieker; Arthur P. Stok; Peter E. Thijssen; Fabian Müller; Erik W. van Zwet; Christoph Bock; Alexander Meissner; Lh Lumey; P. Eline Slagboom; Bastiaan T. Heijmans

Periconceptional diet may persistently influence DNA methylation levels with phenotypic consequences. However, a comprehensive assessment of the characteristics of prenatal malnutrition-associated differentially methylated regions (P-DMRs) is lacking in humans. Here we report on a genome-scale analysis of differential DNA methylation in whole blood after periconceptional exposure to famine during the Dutch Hunger Winter. We show that P-DMRs preferentially occur at regulatory regions, are characterized by intermediate levels of DNA methylation and map to genes enriched for differential expression during early development. Validation and further exploratory analysis of six P-DMRs highlight the critical role of gestational timing. Interestingly, differential methylation of the P-DMRs extends along pathways related to growth and metabolism. P-DMRs located in INSR and CPT1A have enhancer activity in vitro and differential methylation is associated with birth weight and serum LDL cholesterol. Epigenetic modulation of pathways by prenatal malnutrition may promote an adverse metabolic phenotype in later life.


Epigenetics & Chromatin | 2013

Identification and systematic annotation of tissue-specific differentially methylated regions using the Illumina 450k array

Roderick C. Slieker; S.D. Bos; Jelle J. Goeman; Rudolf P. Talens; Ruud van der Breggen; H. Eka D. Suchiman; Eric-Wubbo Lameijer; Hein Putter; Erik B. van den Akker; Yanju Zhang; J. Wouter Jukema; P. Eline Slagboom; Ingrid Meulenbelt; Bastiaan T. Heijmans

BackgroundDNA methylation has been recognized as a key mechanism in cell differentiation. Various studies have compared tissues to characterize epigenetically regulated genomic regions, but due to differences in study design and focus there still is no consensus as to the annotation of genomic regions predominantly involved in tissue-specific methylation. We used a new algorithm to identify and annotate tissue-specific differentially methylated regions (tDMRs) from Illumina 450k chip data for four peripheral tissues (blood, saliva, buccal swabs and hair follicles) and six internal tissues (liver, muscle, pancreas, subcutaneous fat, omentum and spleen with matched blood samples).ResultsThe majority of tDMRs, in both relative and absolute terms, occurred in CpG-poor regions. Further analysis revealed that these regions were associated with alternative transcription events (alternative first exons, mutually exclusive exons and cassette exons). Only a minority of tDMRs mapped to gene-body CpG islands (13%) or CpG islands shores (25%) suggesting a less prominent role for these regions than indicated previously. Implementation of ENCODE annotations showed enrichment of tDMRs in DNase hypersensitive sites and transcription factor binding sites. Despite the predominance of tissue differences, inter-individual differences in DNA methylation in internal tissues were correlated with those for blood for a subset of CpG sites in a locus- and tissue-specific manner.ConclusionsWe conclude that tDMRs preferentially occur in CpG-poor regions and are associated with alternative transcription. Furthermore, our data suggest the utility of creating an atlas cataloguing variably methylated regions in internal tissues that correlate to DNA methylation measured in easy accessible peripheral tissues.


Neurotoxicology and Teratology | 2012

Zebrafish as potential model for developmental neurotoxicity testing: A mini review

Celine de Esch; Roderick C. Slieker; Andre Wolterbeek; Ruud Woutersen; Didima de Groot

The zebrafish is a powerful toxicity model; biochemical assays can be combined with observations at a structural and functional level within one individual. This mini review summarises the potency of zebrafish as a model for developmental neurotoxicity screening, and its possibilities to investigate working mechanisms of toxicants. The use of zebrafish in toxicity research can ultimately lead to the refinement or reduction of animal use.


Nature Genetics | 2017

Disease variants alter transcription factor levels and methylation of their binding sites

Marc Jan Bonder; René Luijk; Daria V. Zhernakova; Matthijs Moed; Patrick Deelen; Martijn Vermaat; Maarten van Iterson; Freerk van Dijk; Michiel van Galen; Jan Bot; Roderick C. Slieker; P. Mila Jhamai; Michael Verbiest; H. Eka D. Suchiman; Marijn Verkerk; Ruud van der Breggen; Jeroen van Rooij; N. Lakenberg; Wibowo Arindrarto; Szymon M. Kielbasa; Iris Jonkers; Peter van ‘t Hof; Irene Nooren; Marian Beekman; Joris Deelen; Diana van Heemst; Alexandra Zhernakova; Ettje F. Tigchelaar; Morris A. Swertz; Albert Hofman

Most disease-associated genetic variants are noncoding, making it challenging to design experiments to understand their functional consequences. Identification of expression quantitative trait loci (eQTLs) has been a powerful approach to infer the downstream effects of disease-associated variants, but most of these variants remain unexplained. The analysis of DNA methylation, a key component of the epigenome, offers highly complementary data on the regulatory potential of genomic regions. Here we show that disease-associated variants have widespread effects on DNA methylation in trans that likely reflect differential occupancy of trans binding sites by cis-regulated transcription factors. Using multiple omics data sets from 3,841 Dutch individuals, we identified 1,907 established trait-associated SNPs that affect the methylation levels of 10,141 different CpG sites in trans (false discovery rate (FDR) < 0.05). These included SNPs that affect both the expression of a nearby transcription factor (such as NFKB1, CTCF and NKX2-3) and methylation of its respective binding site across the genome. Trans methylation QTLs effectively expose the downstream effects of disease-associated variants.


Neurotoxicology and Teratology | 2012

Locomotor activity assay in zebrafish larvae: Influence of age, strain and ethanol ☆

Celine de Esch; Herma C. van der Linde; Roderick C. Slieker; Rob Willemsen; Andre Wolterbeek; Ruud Woutersen; Didima de Groot

Several characteristics warrant the zebrafish a refining animal model for toxicity testing in rodents, thereby contributing to the 3R principles (Replacement, Reduction, and Refinement) in animal testing, e.g. its small size, ease of obtaining a high number of progeny, external fertilization, transparency and rapid development of the embryo, and a basic understanding of its gene function and physiology. In this context we explored the motor activity pattern of zebrafish larvae, using a 96-well microtiter plate and a video-tracking system. Effects of induced light and darkness on locomotion of zebrafish larvae of different wild-type strains and ages (AB and TL, 5, 6 and 7 dpf; n=25/group) were studied. Locomotion was also measured in zebrafish larvae after exposure to different concentrations of ethanol (0; 0.5; 1; 2 and 4%) (AB and TL strain, 6 dpf; n=19/group). Zebrafish larvae showed a relatively high swimming activity in darkness when compared to the activity in light. Small differences were found between wild-type strains and/or age. Ethanol exposure resulted in hyperactivity (0.5-2%) and in hypo-activity (4%). In addition, the limitations and/or relevance of the parameters distance moved, duration of movements and velocity are exemplified and discussed. Together, the results support the suggestion that zebrafish may act as an animal refining alternative for toxicity testing in rodents provided internal and external environmental stimuli are controlled. As such, light, age and strain differences must be taken into account.


International Journal of Epidemiology | 2015

Early gestation as the critical time-window for changes in the prenatal environment to affect the adult human blood methylome

Elmar W. Tobi; Roderick C. Slieker; Aryeh D. Stein; H Eka D Suchiman; P. Eline Slagboom; Erik W. van Zwet; Bastiaan T. Heijmans; Lh Lumey

Background: The manipulation of pregnancy diets in animals can lead to changes in DNA methylation with phenotypic consequences in the offspring. Human studies have concentrated on the effects of nutrition during early gestation. Lacking in humans is an epigenome-wide association study of DNA methylation in relation to perturbations in nutrition across all gestation periods. Methods: We used the quasi-experimental setting of the Dutch famine of 1944–45 to evaluate the impact of famine exposure during specific 10-week gestation periods, or during any time in gestation, on genome-wide DNA methylation levels at age ∼ 59 years. In addition, we evaluated the impact of exposure during a shorter pre- and post-conception period. DNA methylation was assessed using the Illumina 450k array in whole blood among 422 individuals with prenatal famine exposure and 463 time- or sibling-controls without prenatal famine exposure. Results: Famine exposure during gestation weeks 1–10, but not weeks 11–20, 21–30 or 31-delivery, was associated with an increase in DNA methylation of CpG dinucleotides cg20823026 (FAM150B), cg10354880 (SLC38A2) and cg27370573 (PPAP2C) and a decrease of cg11496778 (OSBPL5/MRGPRG) (P < 5.9 × 10−7, PFDR < 0.031). There was an increase in methylation of TACC1 and ZNF385A after exposure during any time in gestation (P < 2.0 × 10−7, PFDR = 0.034) and a decrease of cg23989336 (TMEM105) after exposure around conception. These changes represent a shift of 0.3–0.6 standard deviations and are linked to genes involved in growth, development and metabolism. Conclusion: Early gestation, and not mid or late gestation, is identified as a critical time-period for adult DNA methylation changes in whole blood after prenatal exposure to famine.


Genome Biology | 2016

Blood lipids influence DNA methylation in circulating cells

Koen F. Dekkers; Maarten van Iterson; Roderick C. Slieker; Matthijs Moed; Marc Jan Bonder; Michiel van Galen; Hailiang Mei; Daria V. Zhernakova; Leonard H. van den Berg; Joris Deelen; Jenny van Dongen; Diana van Heemst; Albert Hofman; Jouke J. Hottenga; Carla J.H. van der Kallen; Casper G. Schalkwijk; Coen D. A. Stehouwer; Ettje F. Tigchelaar; André G. Uitterlinden; Gonneke Willemsen; Alexandra Zhernakova; Lude Franke; Peter A. C. 't Hoen; Rick Jansen; Joyce B. J. van Meurs; Dorret I. Boomsma; Cornelia M. van Duijn; Marleen M. J. van Greevenbroek; Jan H. Veldink; Cisca Wijmenga

BackgroundCells can be primed by external stimuli to obtain a long-term epigenetic memory. We hypothesize that long-term exposure to elevated blood lipids can prime circulating immune cells through changes in DNA methylation, a process that may contribute to the development of atherosclerosis. To interrogate the causal relationship between triglyceride, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels and genome-wide DNA methylation while excluding confounding and pleiotropy, we perform a stepwise Mendelian randomization analysis in whole blood of 3296 individuals.ResultsThis analysis shows that differential methylation is the consequence of inter-individual variation in blood lipid levels and not vice versa. Specifically, we observe an effect of triglycerides on DNA methylation at three CpGs, of LDL cholesterol at one CpG, and of HDL cholesterol at two CpGs using multivariable Mendelian randomization. Using RNA-seq data available for a large subset of individuals (N = 2044), DNA methylation of these six CpGs is associated with the expression of CPT1A and SREBF1 (for triglycerides), DHCR24 (for LDL cholesterol) and ABCG1 (for HDL cholesterol), which are all key regulators of lipid metabolism.ConclusionsOur analysis suggests a role for epigenetic priming in end-product feedback control of lipid metabolism and highlights Mendelian randomization as an effective tool to infer causal relationships in integrative genomics data.


Stem Cells | 2015

Alternative Routes to Induce Naïve Pluripotency in Human Embryonic Stem Cells

Galbha Duggal; Sharat Warrier; Sabitri Ghimire; Dorien Broekaert; Margot Van der Jeught; Sylvie Lierman; Tom Deroo; Luc Peelman; Ann Van Soom; Ria Cornelissen; Björn Menten; Pieter Mestdagh; Jo Vandesompele; Matthias S Roost; Roderick C. Slieker; Bastiaan T. Heijmans; Dieter Deforce; Petra De Sutter; Susana Lopes; Björn Heindryckx

Human embryonic stem cells (hESCs) closely resemble mouse epiblast stem cells exhibiting primed pluripotency unlike mouse ESCs (mESCs), which acquire a naïve pluripotent state. Efforts have been made to trigger naïve pluripotency in hESCs for subsequent unbiased lineage‐specific differentiation, a common conundrum faced by primed pluripotent hESCs due to heterogeneity in gene expression existing within and between hESC lines. This required either ectopic expression of naïve genes such as NANOG and KLF2 or inclusion of multiple pluripotency‐associated factors. We report here a novel combination of small molecules and growth factors in culture medium (2i/LIF/basic fibroblast growth factor + Ascorbic Acid + Forskolin) facilitating rapid induction of transgene‐free naïve pluripotency in hESCs, as well as in mESCs, which has not been shown earlier. The converted naïve hESCs survived long‐term single‐cell passaging, maintained a normal karyotype, upregulated naïve pluripotency genes, and exhibited dependence on signaling pathways similar to naïve mESCs. Moreover, they undergo global DNA demethylation and show a distinctive long noncoding RNA profile. We propose that in our medium, the FGF signaling pathway via PI3K/AKT/mTORC induced the conversion of primed hESCs toward naïve pluripotency. Collectively, we demonstrate an alternate route to capture naïve pluripotency in hESCs that is fast, reproducible, supports naïve mESC derivation, and allows efficient differentiation. Stem Cells 2015;33:2686–2698


Bioinformatics | 2014

MethylAid: visual and interactive quality control of large Illumina 450k datasets

Maarten van Iterson; Elmar W. Tobi; Roderick C. Slieker; Wouter den Hollander; Ren e Luijk; P. Eline Slagboom; Bastiaan T. Heijmans

UNLABELLED The Illumina 450k array is a frequently used platform for large-scale genome-wide DNA methylation studies, i.e. epigenome-wide association studies. Currently, quality control of 450k data can be performed with Illuminas GenomeStudio and is part of a limited number 450k analysis pipelines. However, GenomeStudio cannot handle large-scale studies, and existing pipelines provide limited options for quality control and neither support interactive exploration by the user. To aid the detection of bad-quality samples in large-scale genome-wide DNA methylation studies as flexible and transparent as possible, we have developed MethylAid; a visual and interactive Web application using RStudios shiny package. Bad-quality samples are detected using sample-dependent and sample-independent quality control probes present on the array and user-adjustable thresholds. In-depth exploration of bad-quality samples can be performed using several interactive diagnostic plots. Furthermore, plots can be annotated with user-provided metadata, for example, to identify outlying batches. Our new tool makes quality assessment of 450k array data interactive, flexible and efficient and is, therefore, expected to be useful for both data analysts and core facilities. AVAILABILITY AND IMPLEMENTATION MethylAid is implemented as an R/Bioconductor package (www.bioconductor.org/packages/3.0/bioc/html/MethylAid.html). A demo application is available from shiny.bioexp.nl/MethylAid.


Genome Biology | 2016

Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms

Roderick C. Slieker; Maarten van Iterson; René Luijk; Marian Beekman; Daria V. Zhernakova; Matthijs Moed; Hailiang Mei; Michiel van Galen; Patrick Deelen; Marc Jan Bonder; Alexandra Zhernakova; André G. Uitterlinden; Ettje F. Tigchelaar; Coen D. A. Stehouwer; Casper G. Schalkwijk; Carla J.H. van der Kallen; Albert Hofman; Diana van Heemst; Eco J. C. de Geus; Jenny van Dongen; Joris Deelen; Leonard H. van den Berg; Joyce B. J. van Meurs; Rick Jansen; Peter A. C. 't Hoen; Lude Franke; Cisca Wijmenga; Jan H. Veldink; Morris A. Swertz; Marleen M. J. van Greevenbroek

BackgroundEpigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages.ResultsHere, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism.ConclusionsOur results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.

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Bastiaan T. Heijmans

Leiden University Medical Center

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P. Eline Slagboom

Leiden University Medical Center

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Elmar W. Tobi

Leiden University Medical Center

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Celine de Esch

Erasmus University Rotterdam

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H. Eka D. Suchiman

Leiden University Medical Center

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Maarten van Iterson

Leiden University Medical Center

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Daria V. Zhernakova

University Medical Center Groningen

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Diana van Heemst

Leiden University Medical Center

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Hailiang Mei

Leiden University Medical Center

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Joris Deelen

Leiden University Medical Center

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