Dik van Leenen
Utrecht University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Dik van Leenen.
EMBO Reports | 2003
Marc van de Wetering; Irma Oving; Vanesa Muncan; Menno Tjon Pon Fong; Helen Brantjes; Dik van Leenen; Frank C. P. Holstege; Thijn R. Brummelkamp; Reuven Agami; Hans Clevers
We have designed a doxycycline‐regulated form of the H1 promoter of RNA polymerase III that allows the inducible knockdown of gene expression by small interfering RNAs (siRNAs). As a proof‐of‐principle, we have targeted β‐catenin in colorectal cancer (CRC) cells. T‐cell factor (TCF) target‐gene expression is induced by accumulated β‐catenin, and is the main transforming event in these cells. We have shown previously that the disruption of β‐catenin/TCF4 activity in CRC cells by the overexpression of dominant‐negative TCF induces rapid G1 arrest and differentiation. Stable integration of our inducible siRNA vector allowed the rapid production of siRNAs on doxycycline induction, followed by specific downregulation of β‐catenin. In these CRC cells, TCF reporter‐gene activity was inhibited, and G1 arrest and differentiation occurred. The inhibition of two other genes using this vector system shows that it should be useful for the inducible knockdown of gene expression.
EMBO Reports | 2003
Jeroen van de Peppel; Patrick Kemmeren; Harm van Bakel; Marijana Radonjic; Dik van Leenen; Frank C. P. Holstege
Expression profiling is a universal tool, with a range of applications that benefit from the accurate determination of differential gene expression. To allow normalization using endogenous transcript levels, current microarray analyses assume that relatively few transcripts vary, or that any changes that occur are balanced. When normalization using endogenous genes is carried out, changes in expression levels are calculated relative to the behaviour of most of the transcripts. This does not reflect absolute changes if global shifts in messenger RNA populations occur. Using external RNA controls, we have set up microarray experiments to monitor global changes. The levels of most mRNAs were found to change during yeast stationary phase and human heat shock when external controls were included. Even small global changes had a significant effect on the number of genes reported as being differentially expressed. This suggests that global mRNA changes occur more frequently than is assumed at present, and shows that monitoring such effects may be important for the accurate determination of changes in gene expression.
Molecular Cell | 2011
Tineke L. Lenstra; Joris J. Benschop; Tae Soo Kim; Julia M. Schulze; Nathalie Brabers; Thanasis Margaritis; Loes A.L. van de Pasch; Sebastiaan van Heesch; Mariel O. Brok; Marian J. A. Groot Koerkamp; Cheuk W. Ko; Dik van Leenen; Katrin Sameith; Sander R. van Hooff; Philip Lijnzaad; Patrick Kemmeren; Thomas Hentrich; Michael S. Kobor; Stephen Buratowski; Frank C. P. Holstege
Packaging of DNA into chromatin has a profound impact on gene expression. To understand how changes in chromatin influence transcription, we analyzed 165 mutants of chromatin machinery components in Saccharomyces cerevisiae. mRNA expression patterns change in 80% of mutants, always with specific effects, even for loss of widespread histone marks. The data are assembled into a network of chromatin interaction pathways. The network is function based, has a branched, interconnected topology, and lacks strict one-to-one relationships between complexes. Chromatin pathways are not separate entities for different gene sets, but share many components. The study evaluates which interactions are important for which genes and predicts additional interactions, for example between Paf1C and Set3C, as well as a role for Mediator in subtelomeric silencing. The results indicate the presence of gene-dependent effects that go beyond context-dependent binding of chromatin factors and provide a framework for understanding how specificity is achieved through regulating chromatin.
Nature Chemical Biology | 2009
Tobias B. Dansen; Lydia M.M. Smits; Miranda van Triest; Peter L.J. de Keizer; Dik van Leenen; Marian J. A. Groot Koerkamp; Anna A. Szypowska; Amanda Meppelink; Arjan B. Brenkman; Junji Yodoi; Frank C. P. Holstege; Boudewijn M.T. Burgering
Cellular damage invoked by reactive oxygen species plays a key role in the pathobiology of cancer and aging. Forkhead box class O (FoxO) transcription factors are involved in various cellular processes including cell cycle regulation, apoptosis and resistance to reactive oxygen species, and studies in animal models have shown that these transcription factors are of vital importance in tumor suppression, stem cell maintenance and lifespan extension. Here we report that the activity of FoxO in human cells is directly regulated by the cellular redox state through a unique mechanism in signal transduction. We show that reactive oxygen species induce the formation of cysteine-thiol disulfide-dependent complexes of FoxO and the p300/CBP acetyltransferase, and that modulation of FoxO biological activity by p300/CBP-mediated acetylation is fully dependent on the formation of this redox-dependent complex. These findings directly link cellular redox status to the activity of the longevity protein FoxO.
Cell | 2010
Sake van Wageningen; Patrick Kemmeren; Philip Lijnzaad; Thanasis Margaritis; Joris J. Benschop; Inês J. de Castro; Dik van Leenen; Marian J. A. Groot Koerkamp; Cheuk W. Ko; Antony J. Miles; Nathalie Brabers; Mariel O. Brok; Tineke L. Lenstra; Dorothea Fiedler; Like Fokkens; Rodrigo Aldecoa; Eva Apweiler; Virginia Taliadouros; Katrin Sameith; Loes A.L. van de Pasch; Sander R. van Hooff; Linda V. Bakker; Nevan J. Krogan; Berend Snel; Frank C. P. Holstege
To understand relationships between phosphorylation-based signaling pathways, we analyzed 150 deletion mutants of protein kinases and phosphatases in S. cerevisiae using DNA microarrays. Downstream changes in gene expression were treated as a phenotypic readout. Double mutants with synthetic genetic interactions were included to investigate genetic buffering relationships such as redundancy. Three types of genetic buffering relationships are identified: mixed epistasis, complete redundancy, and quantitative redundancy. In mixed epistasis, the most common buffering relationship, different gene sets respond in different epistatic ways. Mixed epistasis arises from pairs of regulators that have only partial overlap in function and that are coupled by additional regulatory links such as repression of one by the other. Such regulatory modules confer the ability to control different combinations of processes depending on condition or context. These properties likely contribute to the evolutionary maintenance of paralogs and indicate a way in which signaling pathways connect for multiprocess control.
Cell | 2014
Patrick Kemmeren; Katrin Sameith; Loes A.L. van de Pasch; Joris J. Benschop; Tineke L. Lenstra; Thanasis Margaritis; Eoghan O’Duibhir; Eva Apweiler; Sake van Wageningen; Cheuk W. Ko; Sebastiaan van Heesch; Mehdi M. Kashani; Giannis Ampatziadis-Michailidis; Mariel O. Brok; Nathalie Brabers; Anthony J. Miles; Diane Bouwmeester; Sander R. van Hooff; Harm van Bakel; Erik Sluiters; Linda V. Bakker; Berend Snel; Philip Lijnzaad; Dik van Leenen; Marian J. A. Groot Koerkamp; Frank C. P. Holstege
To understand regulatory systems, it would be useful to uniformly determine how different components contribute to the expression of all other genes. We therefore monitored mRNA expression genome-wide, for individual deletions of one-quarter of yeast genes, focusing on (putative) regulators. The resulting genetic perturbation signatures reflect many different properties. These include the architecture of protein complexes and pathways, identification of expression changes compatible with viability, and the varying responsiveness to genetic perturbation. The data are assembled into a genetic perturbation network that shows different connectivities for different classes of regulators. Four feed-forward loop (FFL) types are overrepresented, including incoherent type 2 FFLs that likely represent feedback. Systematic transcription factor classification shows a surprisingly high abundance of gene-specific repressors, suggesting that yeast chromatin is not as generally restrictive to transcription as is often assumed. The data set is useful for studying individual genes and for discovering properties of an entire regulatory system.
Hypertension | 2004
Helena Chon; Carlo A. J. M. Gaillard; Brenda B. van der Meijden; Hilde M. Dijstelbloem; Rob J. Kraaijenhagen; Dik van Leenen; Frank C. P. Holstege; Jaap A. Joles; Hans A.R. Bluyssen; Hein A. Koomans; Branko Braam
Abstract—We assessed whether large-scale expression profiling of leukocytes of patients with essential hypertension reflects characteristics of systemic disease and whether such changes are responsive to antihypertensive therapy. Total RNA from leukocytes were obtained from untreated (n=6) and treated (n=6) hypertensive patients without apparent end-organ damage and from normotensive controls (n=9). RNA was reverse-transcribed and labeled and gene expression analyzed using a 19-K oligonucleotide microarray using dye swaps. Samples of untreated and of treated patients were pooled for each sex and compared with age- and sex-matched controls. In untreated patients, 680 genes were differentially regulated (314 up and 366 down). In the treated patients, these changes were virtually absent (4 genes up, 3 genes down). A myriad of changes was observed in pathways involved in inflammation. Inflammation-dampening interleukin receptors were decreased in expression. Intriguingly, inhibitors of cytokine signaling (the PIAS family of proteins) were differentially expressed. The expression of several genes that are involved in regulation of blood pressure were also differentially expressed: angiotensin II type 1 receptor, ANP-A receptor, endothelin-2, and 3 of the serotonin receptors were increased, whereas endothelin-converting enzyme-1 was decreased. Strikingly, virtually no changes in gene expression could be detected in hypertensive patients who had become normotensive with treatment. This observation substantiates the long-standing idea that hypertension is associated with a complex systemic response involving inflammation-related genes. Furthermore, leukocytes display differential gene expression that is of importance in blood pressure control. Importantly, treatment of blood pressure to normal values can virtually correct such disturbances.
PLOS Genetics | 2012
Thanasis Margaritis; Vincent Oreal; Nathalie Brabers; Laetitia Maestroni; Adeline Vitaliano-Prunier; Joris J. Benschop; Sander R. van Hooff; Dik van Leenen; Catherine Dargemont; Vincent Géli; Frank C. P. Holstege
Histone H3 di- and trimethylation on lysine 4 are major chromatin marks that correlate with active transcription. The influence of these modifications on transcription itself is, however, poorly understood. We have investigated the roles of H3K4 methylation in Saccharomyces cerevisiae by determining genome-wide expression-profiles of mutants in the Set1 complex, COMPASS, that lays down these marks. Loss of H3K4 trimethylation has virtually no effect on steady-state or dynamically-changing mRNA levels. Combined loss of H3K4 tri- and dimethylation results in steady-state mRNA upregulation and delays in the repression kinetics of specific groups of genes. COMPASS-repressed genes have distinct H3K4 methylation patterns, with enrichment of H3K4me3 at the 3′-end, indicating that repression is coupled to 3′-end antisense transcription. Further analyses reveal that repression is mediated by H3K4me3-dependent 3′-end antisense transcription in two ways. For a small group of genes including PHO84, repression is mediated by a previously reported trans-effect that requires the antisense transcript itself. For the majority of COMPASS-repressed genes, however, it is the process of 3′-end antisense transcription itself that is the important factor for repression. Strand-specific qPCR analyses of various mutants indicate that this more prevalent mechanism of COMPASS-mediated repression requires H3K4me3-dependent 3′-end antisense transcription to lay down H3K4me2, which seems to serve as the actual repressive mark. Removal of the 3′-end antisense promoter also results in derepression of sense transcription and renders sense transcription insensitive to the additional loss of SET1. The derepression observed in COMPASS mutants is mimicked by reduction of global histone H3 and H4 levels, suggesting that the H3K4me2 repressive effect is linked to establishment of a repressive chromatin structure. These results indicate that in S. cerevisiae, the non-redundant role of H3K4 methylation by Set1 is repression, achieved through promotion of 3′-end antisense transcription to achieve specific rather than global effects through two distinct mechanisms.
Molecular Cell | 2010
Joris J. Benschop; Nathalie Brabers; Dik van Leenen; Linda V. Bakker; Hanneke W.M. van Deutekom; Nynke L. van Berkum; Eva Apweiler; Philip Lijnzaad; Frank C. P. Holstege; Patrick Kemmeren
Analyses of biological processes would benefit from accurate definitions of protein complexes. High-throughput mass spectrometry data offer the possibility of systematically defining protein complexes; however, the predicted compositions vary substantially depending on the algorithm applied. We determine consensus compositions for 409 core protein complexes from Saccharomyces cerevisiae by merging previous predictions with a new approach. Various analyses indicate that the consensus is comprehensive and of high quality. For 85 out of 259 complexes not recorded in GO, literature search revealed strong support in the form of coprecipitation. New complexes were verified by an independent interaction assay and by gene expression profiling of strains with deleted subunits, often revealing which cellular processes are affected. The consensus complexes are available in various formats, including a merge with GO, resulting in 518 protein complex compositions. The utility is further demonstrated by comparison with binary interaction data to reveal interactions between core complexes.
Cell Reports | 2013
Nikolay S. Outchkourov; Jose M. Muiño; Kerstin Kaufmann; Wilfred van IJcken; Marian J. A. Groot Koerkamp; Dik van Leenen; Petra de Graaf; Frank C. P. Holstege; Frank Grosveld; H. T. Marc Timmers
The functional organization of eukaryotic genomes correlates with specific patterns of histone methylations. Regulatory regions in genomes such as enhancers and promoters differ in their extent of methylation of histone H3 at lysine-4 (H3K4), but it is largely unknown how the different methylation states are specified and controlled. Here, we show that the Kdm5c/Jarid1c/SMCX member of the Kdm5 family of H3K4 demethylases can be recruited to both enhancer and promoter elements in mouse embryonic stem cells and in neuronal progenitor cells. Knockdown of Kdm5c deregulates transcription via local increases in H3K4me3. Our data indicate that by restricting H3K4me3 modification at core promoters, Kdm5c dampens transcription, but at enhancers Kdm5c stimulates their activity. Remarkably, an impaired enhancer function activates the intrinsic promoter activity of Kdm5c-bound distal elements. Our results demonstrate that the Kdm5c demethylase plays a crucial and dynamic role in the functional discrimination between enhancers and core promoters.