Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Seyed Yahya Anvar is active.

Publication


Featured researches published by Seyed Yahya Anvar.


Nature Biotechnology | 2013

Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories

Peter A. C. 't Hoen; Marc R. Friedländer; Jonas Carlsson Almlöf; Michael Sammeth; Irina Pulyakhina; Seyed Yahya Anvar; Jeroen F. J. Laros; Henk P. J. Buermans; Olof Karlberg; Mathias Brännvall; Johan T. den Dunnen; Gert-Jan B. van Ommen; Ivo Gut; Roderic Guigó; Xavier Estivill; Ann-Christine Syvänen; Emmanouil T. Dermitzakis; Tuuli Lappalainen

RNA sequencing is an increasingly popular technology for genome-wide analysis of transcript sequence and abundance. However, understanding of the sources of technical and interlaboratory variation is still limited. To address this, the GEUVADIS consortium sequenced mRNAs and small RNAs of lymphoblastoid cell lines of 465 individuals in seven sequencing centers, with a large number of replicates. The variation between laboratories appeared to be considerably smaller than the already limited biological variation. Laboratory effects were mainly seen in differences in insert size and GC content and could be adequately corrected for. In small-RNA sequencing, the microRNA (miRNA) content differed widely between samples owing to competitive sequencing of rRNA fragments. This did not affect relative quantification of miRNAs. We conclude that distributing RNA sequencing among different laboratories is feasible, given proper standardization and randomization procedures. We provide a set of quality measures and guidelines for assessing technical biases in RNA-seq data.


Human Molecular Genetics | 2010

Molecular and phenotypic characterization of a mouse model of oculopharyngeal muscular dystrophy reveals severe muscular atrophy restricted to fast glycolytic fibres

Capucine Trollet; Seyed Yahya Anvar; Andrea Venema; Iain Hargreaves; Keith Foster; Alban Vignaud; Arnaud Ferry; Elisa Negroni; Christophe Hourdé; Martin A. Baraibar; Peter A. C. 't Hoen; Janet E. Davies; David C. Rubinsztein; Simon Heales; Vincent Mouly; Silvère M. van der Maarel; Gillian Butler-Browne; Vered Raz; George Dickson

Oculopharyngeal muscular dystrophy (OPMD) is an adult-onset disorder characterized by ptosis, dysphagia and proximal limb weakness. Autosomal-dominant OPMD is caused by a short (GCG)(8-13) expansions within the first exon of the poly(A)-binding protein nuclear 1 gene (PABPN1), leading to an expanded polyalanine tract in the mutated protein. Expanded PABPN1 forms insoluble aggregates in the nuclei of skeletal muscle fibres. In order to gain insight into the different physiological processes affected in OPMD muscles, we have used a transgenic mouse model of OPMD (A17.1) and performed transcriptomic studies combined with a detailed phenotypic characterization of this model at three time points. The transcriptomic analysis revealed a massive gene deregulation in the A17.1 mice, among which we identified a significant deregulation of pathways associated with muscle atrophy. Using a mathematical model for progression, we have identified that one-third of the progressive genes were also associated with muscle atrophy. Functional and histological analysis of the skeletal muscle of this mouse model confirmed a severe and progressive muscular atrophy associated with a reduction in muscle strength. Moreover, muscle atrophy in the A17.1 mice was restricted to fast glycolytic fibres, containing a large number of intranuclear inclusions (INIs). The soleus muscle and, in particular, oxidative fibres were spared, even though they contained INIs albeit to a lesser degree. These results demonstrate a fibre-type specificity of muscle atrophy in this OPMD model. This study improves our understanding of the biological pathways modified in OPMD to identify potential biomarkers and new therapeutic targets.


Skeletal Muscle | 2011

Deregulation of the ubiquitin-proteasome system is the predominant molecular pathology in OPMD animal models and patients

Seyed Yahya Anvar; Peter A. C. 't Hoen; Andrea Venema; Barbara M. van der Sluijs; Baziel G.M. van Engelen; Marc Snoeck; John Vissing; Capucine Trollet; George Dickson; Aymeric Chartier; Martine Simonelig; Gert-Jan B. van Ommen; Silvère M. van der Maarel; Vered Raz

Oculopharyngeal muscular dystrophy (OPMD) is a late-onset progressive muscle disorder caused by a poly-alanine expansion mutation in the Poly(A) Binding Protein Nuclear 1 (PABPN1). The molecular mechanisms that regulate disease onset and progression are largely unknown. In order to identify molecular pathways that are consistently associated with OPMD, we performed an integrated high-throughput transcriptome study in affected muscles of OPMD animal models and patients. The ubiquitin-proteasome system (UPS) was found to be the most consistently and significantly OPMD-deregulated pathway across species. We could correlate the association of the UPS OPMD-deregulated genes with stages of disease progression. The expression trend of a subset of these genes is age-associated and therefore, marks the late onset of the disease, and a second group with expression trends relating to disease-progression. We demonstrate a correlation between expression trends and entrapment into PABPN1 insoluble aggregates of OPMD-deregulated E3 ligases. We also show that manipulations of proteasome and immunoproteasome activity specifically affect the accumulation and aggregation of mutant PABPN1. We suggest that the natural decrease in proteasome expression and its activity during muscle aging contributes to the onset of the disease.


BMC Genomics | 2015

Complete genome sequence of the Clostridium difficile laboratory strain 630Δerm reveals differences from strain 630, including translocation of the mobile element CTn5

Erika van Eijk; Seyed Yahya Anvar; Hilary P. Browne; Wai Yi Leung; Jeroen Frank; Arnoud Schmitz; Adam P. Roberts; Wiep Klaas Smits

BackgroundClostridium difficile strain 630Δerm is a spontaneous erythromycin sensitive derivative of the reference strain 630 obtained by serial passaging in antibiotic-free media. It is widely used as a defined and tractable C. difficile strain. Though largely similar to the ancestral strain, it demonstrates phenotypic differences that might be the result of underlying genetic changes. Here, we performed a de novo assembly based on single-molecule real-time sequencing and an analysis of major methylation patterns.ResultsIn addition to single nucleotide polymorphisms and various indels, we found that the mobile element CTn5 is present in the gene encoding the methyltransferase rumA rather than adhesin CD1844 where it is located in the reference strain.ConclusionsTogether, the genetic features identified in this study may help to explain at least part of the phenotypic differences. The annotated genome sequence of this lab strain, including the first analysis of major methylation patterns, will be a valuable resource for genetic research on C. difficile.


Bioinformatics | 2014

TSSV: a tool for characterization of complex allelic variants in pure and mixed genomes

Seyed Yahya Anvar; Kristiaan J. van der Gaag; Jaap van der Heijden; Marcel H. A. M. Veltrop; Rolf H. A. M. Vossen; Rick H. de Leeuw; Cor Breukel; Henk P. J. Buermans; J. Sjef Verbeek; Peter de Knijff; Johan T. den Dunnen; Jeroen F. J. Laros

MOTIVATION Advances in sequencing technologies and computational algorithms have enabled the study of genomic variants to dissect their functional consequence. Despite this unprecedented progress, current tools fail to reliably detect and characterize more complex allelic variants, such as short tandem repeats (STRs). We developed TSSV as an efficient and sensitive tool to specifically profile all allelic variants present in targeted loci. Based on its design, requiring only two short flanking sequences, TSSV can work without the use of a complete reference sequence to reliably profile highly polymorphic, repetitive or uncharacterized regions. RESULTS We show that TSSV can accurately determine allelic STR structures in mixtures with 10% representation of minor alleles or complex mixtures in which a single STR allele is shared. Furthermore, we show the universal utility of TSSV in two other independent studies: characterizing de novo mutations introduced by transcription activator-like effector nucleases (TALENs) and profiling the noise and systematic errors in an IonTorrent sequencing experiment. TSSV complements the existing tools by aiding the study of highly polymorphic and complex regions and provides a high-resolution map that can be used in a wide range of applications, from personal genomics to forensic analysis and clinical diagnostics. AVAILABILITY AND IMPLEMENTATION We have implemented TSSV as a Python package that can be installed through the command-line using pip install TSSV command. Its source code and documentation are available at https://pypi.python.org/pypi/tssv and http://www.lgtc.nl/tssv.


Twin Research and Human Genetics | 2013

Aging as Accelerated Accumulation of Somatic Variants : Whole-Genome Sequencing of Centenarian and Middle-Aged Monozygotic Twin Pairs

Kai Ye; Marian Beekman; Eric-Wubbo Lameijer; Yanju Zhang; Matthijs Moed; Erik B. van den Akker; Joris Deelen; Jeanine J. Houwing-Duistermaat; Dennis Kremer; Seyed Yahya Anvar; Jeroen F. J. Laros; David Jones; Keiran Raine; Ben Blackburne; Shobha Potluri; Quan Long; Victor Guryev; Ruud van der Breggen; Rudi G. J. Westendorp; Peter A. C. 't Hoen; Johan T. den Dunnen; Gert Jan B. van Ommen; Gonneke Willemsen; Steven J. Pitts; David R. Cox; Zemin Ning; Dorret I. Boomsma; P. Eline Slagboom

It has been postulated that aging is the consequence of an accelerated accumulation of somatic DNA mutations and that subsequent errors in the primary structure of proteins ultimately reach levels sufficient to affect organismal functions. The technical limitations of detecting somatic changes and the lack of insight about the minimum level of erroneous proteins to cause an error catastrophe hampered any firm conclusions on these theories. In this study, we sequenced the whole genome of DNA in whole blood of two pairs of monozygotic (MZ) twins, 40 and 100 years old, by two independent next-generation sequencing (NGS) platforms (Illumina and Complete Genomics). Potentially discordant single-base substitutions supported by both platforms were validated extensively by Sanger, Roche 454, and Ion Torrent sequencing. We demonstrate that the genomes of the two twin pairs are germ-line identical between co-twins, and that the genomes of the 100-year-old MZ twins are discerned by eight confirmed somatic single-base substitutions, five of which are within introns. Putative somatic variation between the 40-year-old twins was not confirmed in the validation phase. We conclude from this systematic effort that by using two independent NGS platforms, somatic single nucleotide substitutions can be detected, and that a century of life did not result in a large number of detectable somatic mutations in blood. The low number of somatic variants observed by using two NGS platforms might provide a framework for detecting disease-related somatic variants in phenotypically discordant MZ twins.


BMC Genomics | 2017

Coping with living in the soil: the genome of the parthenogenetic springtail Folsomia candida

Anna Faddeeva-Vakhrusheva; Ken Kraaijeveld; Martijn F. L. Derks; Seyed Yahya Anvar; Valeria Agamennone; Wouter Suring; Andries A. Kampfraath; Jacintha Ellers; Giang Le Ngoc; Cornelis A.M. van Gestel; Janine Mariën; Sandra Smit; Nico M. van Straalen; Dick Roelofs

BackgroundFolsomia candida is a model in soil biology, belonging to the family of Isotomidae, subclass Collembola. It reproduces parthenogenetically in the presence of Wolbachia, and exhibits remarkable physiological adaptations to stress. To better understand these features and adaptations to life in the soil, we studied its genome in the context of its parthenogenetic lifestyle.ResultsWe applied Pacific Bioscience sequencing and assembly to generate a reference genome for F. candida of 221.7 Mbp, comprising only 162 scaffolds. The complete genome of its endosymbiont Wolbachia, was also assembled and turned out to be the largest strain identified so far. Substantial gene family expansions and lineage-specific gene clusters were linked to stress response. A large number of genes (809) were acquired by horizontal gene transfer. A substantial fraction of these genes are involved in lignocellulose degradation. Also, the presence of genes involved in antibiotic biosynthesis was confirmed. Intra-genomic rearrangements of collinear gene clusters were observed, of which 11 were organized as palindromes. The Hox gene cluster of F. candida showed major rearrangements compared to arthropod consensus cluster, resulting in a disorganized cluster.ConclusionsThe expansion of stress response gene families suggests that stress defense was important to facilitate colonization of soils. The large number of HGT genes related to lignocellulose degradation could be beneficial to unlock carbohydrate sources in soil, especially those contained in decaying plant and fungal organic matter. Intra- as well as inter-scaffold duplications of gene clusters may be a consequence of its parthenogenetic lifestyle. This high quality genome will be instrumental for evolutionary biologists investigating deep phylogenetic lineages among arthropods and will provide the basis for a more mechanistic understanding in soil ecology and ecotoxicology.


Genome Biology and Evolution | 2016

Gene Family Evolution Reflects Adaptation to Soil Environmental Stressors in the Genome of the Collembolan Orchesella cincta

Anna Faddeeva-Vakhrusheva; Martijn F. L. Derks; Seyed Yahya Anvar; Valeria Agamennone; Wouter Suring; Sandra Smit; Nico M. van Straalen; Dick Roelofs

Collembola (springtails) are detritivorous hexapods that inhabit the soil and its litter layer. The ecology of the springtail Orchesella cincta is extensively studied in the context of adaptation to anthropogenically disturbed areas. Here, we present a draft genome of an O. cincta reference strain with an estimated size of 286.8 Mbp, containing 20,249 genes. In total, 446 gene families are expanded and 1,169 gene families evolved specific to this lineage. Besides these gene families involved in general biological processes, we observe gene clusters participating in xenobiotic biotransformation. Furthermore, we identified 253 cases of horizontal gene transfer (HGT). Although the largest percentage of them originated from bacteria (37.5%), we observe an unusually high percentage (30.4%) of such genes of fungal origin. The majority of foreign genes are involved in carbohydrate metabolism and cellulose degradation. Moreover, some foreign genes (e.g., bacillopeptidases) expanded after HGT. We hypothesize that horizontally transferred genes could be advantageous for food processing in a soil environment that is full of decaying organic material. Finally, we identified several lineage-specific genes, expanded gene families, and horizontally transferred genes, associated with altered gene expression as a consequence of genetic adaptation to metal stress. This suggests that these genome features may be preadaptations allowing natural selection to act on. In conclusion, this genome study provides a solid foundation for further analysis of evolutionary mechanisms of adaptation to environmental stressors.


PLOS Computational Biology | 2011

Interspecies translation of disease networks increases robustness and predictive accuracy.

Seyed Yahya Anvar; Allan Tucker; Veronica Vinciotti; Andrea Venema; Gert-Jan B. van Ommen; Silvère M. van der Maarel; Vered Raz; Peter A. C. 't Hoen

Gene regulatory networks give important insights into the mechanisms underlying physiology and pathophysiology. The derivation of gene regulatory networks from high-throughput expression data via machine learning strategies is problematic as the reliability of these models is often compromised by limited and highly variable samples, heterogeneity in transcript isoforms, noise, and other artifacts. Here, we develop a novel algorithm, dubbed Dandelion, in which we construct and train intraspecies Bayesian networks that are translated and assessed on independent test sets from other species in a reiterative procedure. The interspecies disease networks are subjected to multi-layers of analysis and evaluation, leading to the identification of the most consistent relationships within the network structure. In this study, we demonstrate the performance of our algorithms on datasets from animal models of oculopharyngeal muscular dystrophy (OPMD) and patient materials. We show that the interspecies network of genes coding for the proteasome provide highly accurate predictions on gene expression levels and disease phenotype. Moreover, the cross-species translation increases the stability and robustness of these networks. Unlike existing modeling approaches, our algorithms do not require assumptions on notoriously difficult one-to-one mapping of protein orthologues or alternative transcripts and can deal with missing data. We show that the identified key components of the OPMD disease network can be confirmed in an unseen and independent disease model. This study presents a state-of-the-art strategy in constructing interspecies disease networks that provide crucial information on regulatory relationships among genes, leading to better understanding of the disease molecular mechanisms.


Human Mutation | 2017

Flexible and Scalable Full-Length CYP2D6 Long Amplicon PacBio Sequencing

Henk P. J. Buermans; Rolf H. A. M. Vossen; Seyed Yahya Anvar; William G. Allard; Henk-Jan Guchelaar; Stefan J. White; Johan T. den Dunnen; Jesse J. Swen; Tahar van der Straaten

Cytochrome P450 2D6 (CYP2D6) is among the most important genes involved in drug metabolism. Specific variants are associated with changes in the enzymes amount and activity. Multiple technologies exist to determine these variants, like the AmpliChip CYP450 test, Taqman qPCR, or Second‐Generation Sequencing, however, sequence homology between cytochrome P450 genes and pseudogene CYP2D7 impairs reliable CYP2D6 genotyping, and variant phasing cannot accurately be determined using these assays. To circumvent this, we sequenced CYP2D6 using the Pacific Biosciences RSII and obtained high‐quality, full‐length, phased CYP2D6 sequences, enabling accurate variant calling and haplotyping of the entire gene‐locus including exonic, intronic, and upstream and downstream regions. Unphased diplotypes (Roche AmpliChip CYP450 test) were confirmed for 24 of the 25 samples, including gene duplications. Cases with gene deletions required additional specific assays to resolve. In total, 61 unique variants were detected, including variants that had not previously been associated with specific haplotypes. To further aid genomic analysis using standard reference sequences, we have established an LOVD‐powered CYP2D6 gene‐variant database, and added all reference haplotypes and data reported here. We conclude that our CYP2D6 genotyping approach produces reliable CYP2D6 diplotypes and reveals information about additional variants, including phasing and copy‐number variation.

Collaboration


Dive into the Seyed Yahya Anvar's collaboration.

Top Co-Authors

Avatar

Johan T. den Dunnen

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Peter A. C. 't Hoen

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Gert-Jan B. van Ommen

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Rolf H. A. M. Vossen

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Silvère M. van der Maarel

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Vered Raz

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Andrea Venema

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Henk P. J. Buermans

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Jeroen F. J. Laros

Leiden University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Jeroen Frank

Leiden University Medical Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge