5 results on '"Denise Scherzinger"'
Search Results
2. TREND-DB—a transcriptome-wide atlas of the dynamic landscape of alternative polyadenylation
- Author
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Denise Scherzinger, Federico Marini, and Sven Danckwardt
- Subjects
Transcription, Genetic ,Polyadenylation ,AcademicSubjects/SCI00010 ,education ,MiRNA binding ,RNA-binding protein ,Computational biology ,Biology ,Transcriptome ,User-Computer Interface ,03 medical and health sciences ,0302 clinical medicine ,RNA interference ,Transcription (biology) ,Databases, Genetic ,Genetics ,Humans ,Database Issue ,3' Untranslated Regions ,Gene ,030304 developmental biology ,Regulation of gene expression ,Internet ,0303 health sciences ,Cleavage And Polyadenylation Specificity Factor ,RNA ,Gene Expression Regulation ,030217 neurology & neurosurgery - Abstract
Alternative polyadenylation (APA) profoundly expands the transcriptome complexity. Perturbations of APA can disrupt biological processes, ultimately resulting in devastating disorders. A major challenge in identifying mechanisms and consequences of APA (and its perturbations) lies in the complexity of RNA 3’end processing, involving poorly conserved RNA motifs and multi-component complexes consisting of far more than 50 proteins. This is further complicated in that RNA 3’end maturation is closely linked to transcription, RNA processing, and even epigenetic (histone/DNA/RNA) modifications. Here we present TREND-DB (http://shiny.imbei.uni-mainz.de:3838/trend-db), a resource cataloging the dynamic landscape of APA after depletion of >170 proteins involved in various facets of transcriptional, co- and posttranscriptional gene regulation, epigenetic modifications, and further processes. TREND-DB visualizes the dynamics of transcriptome 3’end diversification (TREND) in a highly interactive manner; it provides a global APA network map and allows interrogating genes affected by specific APA-regulators, and vice versa. It also permits condition-specific functional enrichment analyses of APA-affected genes, which suggest wide biological and clinical relevance across all RNAi conditions. The implementation of the UCSC Genome Browser provides additional customizable layers of gene regulation accounting for individual transcript isoforms (e.g. epigenetics, miRNA binding sites, RNA-binding proteins). TREND-DB thereby fosters disentangling the role of APA for various biological programs, including potential disease mechanisms, and helps to identify their diagnostic and therapeutic potential.
- Published
- 2020
3. PCF11 links alternative polyadenylation to formation and spontaneous regression of neuroblastoma
- Author
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Sergey Tokalov, Bin Tian, Harald Binder, Frank Westermann, Anton Ogorodnikov, Surendra Tattikota, Federico Marini, Sven Danckwardt, Karl J. Lackner, Stephan Macher-Goeppinger, Michael Schaefer, Michal Levin, Denise Scherzinger, Mainul Hoque, and Ansgar Poetsch
- Subjects
Transcriptome ,Regulation of gene expression ,Polyadenylation ,Mechanism (biology) ,Regulator ,Computational biology ,Biology ,Cell fate determination ,Cell cycle ,Reprogramming - Abstract
Diversification at the transcriptome 3’end is an important and evolutionarily conserved layer of gene regulation associated with differentiation and dedifferentiation processes. However the underlying mechanisms and functional consequences are poorly defined. Here, we identify extensive transcriptome-3’end-alterations in neuroblastoma, a tumour entity with a paucity of recurrent somatic mutations and an unusually high frequency of spontaneous regression. Utilising extensive RNAi-screening we reveal the landscape and drivers of transcriptome-3’end-diversification, discovering PCF11 as critical regulator, directing alternative polyadenylation (APA) of hundreds of transcripts including a differentiation RNA-operon. PCF11 shapes inputs converging on WNT-signalling, and governs cell cycle, proliferation, apoptosis and neurodifferentiation. Postnatal PCF11 down-regulation induces a neurodifferentiation program, and low-level PCF11 in neuroblastoma associates with favourable outcome and spontaneous tumour regression. Our findings document a critical role for APA in tumourigenesis and describe a novel mechanism for cell fate reprogramming in neuroblastoma with important clinical implications. An interactive data repository of transcriptome-wide APA covering >170 RNAis, and an APA-network map with regulatory hubs is provided.
- Published
- 2018
4. Transcriptome 3'end organization by PCF11 links alternative polyadenylation to formation and neuronal differentiation of neuroblastoma
- Author
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Harald Binder, Hans Christian Probst, Stephan Macher-Goeppinger, Federico Marini, Sven Danckwardt, Bin Tian, Sergey Tokalov, Frank Westermann, Anton Ogorodnikov, Surendra Tattikota, Ansgar Poetsch, Denise Scherzinger, Mainul Hoque, Michal Levin, Karl J. Lackner, and Michael Schaefer
- Subjects
0301 basic medicine ,Polyadenylation ,Carcinogenesis ,Science ,Regulator ,General Physics and Astronomy ,Apoptosis ,Computational biology ,Cell fate determination ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Article ,Transcriptome ,03 medical and health sciences ,Neuroblastoma ,Humans ,RNA, Messenger ,lcsh:Science ,3' Untranslated Regions ,Cell Proliferation ,Regulation of gene expression ,Neurons ,mRNA Cleavage and Polyadenylation Factors ,Multidisciplinary ,Mechanism (biology) ,Three prime untranslated region ,Cell Cycle ,Cell Differentiation ,General Chemistry ,030104 developmental biology ,lcsh:Q ,Reprogramming ,Genome-Wide Association Study - Abstract
Diversification at the transcriptome 3′end is an important and evolutionarily conserved layer of gene regulation associated with differentiation and dedifferentiation processes. Here, we identify extensive transcriptome 3′end-alterations in neuroblastoma, a tumour entity with a paucity of recurrent somatic mutations and an unusually high frequency of spontaneous regression. Utilising extensive RNAi-screening we reveal the landscape and drivers of transcriptome 3′end-diversification, discovering PCF11 as critical regulator, directing alternative polyadenylation (APA) of hundreds of transcripts including a differentiation RNA-operon. PCF11 shapes inputs converging on WNT-signalling, and governs cell cycle, proliferation, apoptosis and neurodifferentiation. Postnatal PCF11 down-regulation induces a neurodifferentiation program, and low-level PCF11 in neuroblastoma associates with favourable outcome and spontaneous tumour regression. Our findings document a critical role for APA in tumorigenesis and describe a novel mechanism for cell fate reprogramming in neuroblastoma with potentially important clinical implications. We provide an interactive data repository of transcriptome-wide APA covering > 170 RNAis, and an APA-network map with regulatory hubs., In gene regulation, diversification at the transcriptome 3′end is linked to differentiation and dedifferentiation. Here, the authors discover extensive transcriptome 3′end-alterations in neuroblastoma, regulated by PCF11, and provide an interactive data repository of transcriptome-wide alternative polyadenylation.
- Published
- 2018
5. dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data
- Author
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Sergi Sayols, Denise Scherzinger, and Holger Klein
- Subjects
0301 basic medicine ,Computer science ,Quality control tool ,Library preparation ,Bioconductor ,RNA-Seq ,Computational biology ,Single cell RNA-Seq ,Biology ,Polymerase Chain Reaction ,Biochemistry ,03 medical and health sciences ,PCR artefacts ,0302 clinical medicine ,Structural Biology ,Gene expression ,Gene duplication ,Duplication rate ,Humans ,Gene ,Molecular Biology ,computer.programming_language ,Genetics ,Genome, Human ,Sequence Analysis, RNA ,Gene Expression Profiling ,Applied Mathematics ,Shell script ,High-Throughput Nucleotide Sequencing ,Computer Science Applications ,Gene expression profiling ,030104 developmental biology ,RNA ,Human genome ,DNA microarray ,Artifacts ,computer ,Software ,030217 neurology & neurosurgery - Abstract
Background PCR clonal artefacts originating from NGS library preparation can affect both genomic as well as RNA-Seq applications when protocols are pushed to their limits. In RNA-Seq however the artifactual reads are not easy to tell apart from normal read duplication due to natural over-sequencing of highly expressed genes. Especially when working with little input material or single cells assessing the fraction of duplicate reads is an important quality control step for NGS data sets. Up to now there are only tools to calculate the global duplication rates that do not take into account the effect of gene expression levels which leaves them of limited use for RNA-Seq data. Results Here we present the tool dupRadar, which provides an easy means to distinguish the fraction of reads originating in natural duplication due to high expression from the fraction induced by artefacts. dupRadar assesses the fraction of duplicate reads per gene dependent on the expression level. Apart from the Bioconductor package dupRadar we provide shell scripts for easy integration into processing pipelines. Conclusions The Bioconductor package dupRadar offers straight-forward methods to assess RNA-Seq datasets for quality issues with PCR duplicates. It is aimed towards simple integration into standard analysis pipelines as a default QC metric that is especially useful for low-input and single cell RNA-Seq data sets. Electronic supplementary material The online version of this article (doi:10.1186/s12859-016-1276-2) contains supplementary material, which is available to authorized users.
- Published
- 2016
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