817 research outputs found

    Transcription Factors, Chromatin Loops & Blood Cells

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    Transcription Factors, Chromatin Loops & Blood Cells

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    Jeugd met bijen aan de slag op het MEK

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    [Oosterhout

    Deelname jeugdcursus boven verwachting

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    Why does healthcare utilisation differ between socioeconomic groups in OECD countries with universal healthcare coverage?:A protocol for a systematic review

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    Introduction: Even in advanced economies with universal healthcare coverage (UHC), a social gradient in healthcare utilisation has been reported. Many individual, community and healthcare system factors have been considered that may be associated with the variation in healthcare utilisation between socioeconomic groups. Nevertheless, relatively little is known about the complex interaction and relative contribution of these factors to socioeconomic differences in healthcare utilisation. In order to improve understanding of why utilisation patterns differ by socioeconomic status (SES), the proposed systematic review will explore the main mechanisms that have been examined in quantitative research. Methods and analysis: The systematic review will follow the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines and will be conducted in Embase, PubMed, Scopus, Web of Science, Econlit and PsycInfo. Articles examining factors associated with the differences in primary and specialised healthcare utilisation between socioeconomic groups in Organisation for Economic Co-operation and Development (OECD) countries with UHC will be included. Further restrictions concern specifications of outcome measures, factors of interest, study design, population, language and type of publication. Data will be numerically summarised, narratively synthesised and thematically discussed. The factors will be categorised according to existing frameworks for barriers to healthcare access

    Jeugdcursus Oosterhouts Bijengilde

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    Decoding the genetic and epigenetic basis of asthma

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    Asthma is a complex and heterogeneous chronic inflammatory disease of the airways. Alongside environmental factors, asthma susceptibility is strongly influenced by genetics. Given its high prevalence and our incomplete understanding of the mechanisms underlying disease susceptibility, asthma is frequently studied in genome-wide association studies (GWAS), which have identified thousands of genetic variants associated with asthma development. Virtually all these genetic variants reside in non-coding genomic regions, which has obscured the functional impact of asthma-associated variants and their translation into disease-relevant mechanisms. Recent advances in genomics technology and epigenetics now offer methods to link genetic variants to gene regulatory elements embedded within non-coding regions, which have started to unravel the molecular mechanisms underlying the complex (epi)genetics of asthma. Here, we provide an integrated overview of (epi)genetic variants associated with asthma, focusing on efforts to link these disease associations to biological insight into asthma pathophysiology using state-of-the-art genomics methodology. Finally, we provide a perspective as to how decoding the genetic and epigenetic basis of asthma has the potential to transform clinical management of asthma and to predict the risk of asthma development.</p

    Transcription Factors, Chromatin Loops & Blood Cells

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    __Abstract__ A key aspect of genome biology is the proper regulation of gene expression, which is found perturbed in many diseases and disorders. Here we conducted studies on differentiating hematopoietic cells, with the aim to generate new knowledge of the regulatory mechanisms operated by transcription factors and the impact of these processes on cellular differentiation. Our results provide a collection of novel insights into the biology of hematopoietic transcription factor complexes and how they govern complex cellular processes such as the regulation of gene transcription and V(D)J recombination. Additionally, we have also developed and implemented new tools to study transcription factor actions
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