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您的检索式：作者名="Carsten Kuenne"
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| 1 | Pioneering function of Isl1 in the epigenetic control of cardiomyocyte cell fate显示文摘Generation of widely differing and specialized cell types from a single totipotent zygote involves large-scale transcriptional changes and chromatin reorganization. Pioneer transcription factors play key roles in programming the epigenome and facilitating recruitment of additional regulatory factors during successive cell lineage specification and differentiation steps. Here we show that Isl1 acts as a pioneer factor driving cardiomyocyte lineage commitment by shaping the chromatin landscape of cardiac progenitor cells. Using an Isl1 hypomorphic mouse line which shows congenital heart defects, genome-wide profiling of Isl1 binding together with RNA- and ATAC-sequencing of cardiac progenitor cells and their derivatives, we uncover a regulatory network downstream of Isl1 that orchestrates cardiogenesis. Mechanistically, we show that Isl1 binds to compacted chromatin and works in concert with the Brg1-Baf60c-based SWI/SNF complex to promote permissive cardiac lineage-specific alterations in the chromatin landscape not only of genes with critical functions in cardiac progenitor cells, but also of cardiomyocyte structural genes that are highly expressed when Isl1 itself is no longer present. Thus, the Isl1/Brg1-Baf60c complex plays a crucial role in orchestrating proper cardiogenesis and in establishing epigenetic memory of cardiomyocyte fate commitment. | Rui Gao Xingqun Liang Sirisha Cheedipudi Julio Cordero Xue Jiang Qingquan Zhang Luca Caputo Stefan Günther Carsten Kuenne Yonggang Ren Shoumo Bhattacharya Xuejun Yuan Guillermo Barreto Yihan Chen Thomas Braun Sylvia M. Evans Yunfu Sun Gergana Dobreva | 2019 | Cell Research2019，29，6： | 5 |
| 2 | i2dash:Creation of Flexible,Interactive,and Web-based Dashboards for Visualization of Omics Data显示文摘Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data.A suitable visualization has to be intuitive and accessible.Web-based dashboards have become popular tools for the arrangement,consolidation,and display of such visualizations.However,the combination of automated data processing pipelines handling omics data and dynamically generated,interactive dashboards is poorly solved.Here,we present i2dash,an R package intended to encapsulate functionality for the programmatic creation of customized dashboards.It supports interactive and responsive(linked)visualizations across a set of predefined graphical layouts.i2dash addresses the needs of data analysts/software developers for a tool that is compatible and attachable to any R-based analysis pipeline,thereby fostering the separation of data visualization on one hand and data analysis tasks on the other hand.In addition,the generic design of i2dash enables the development of modular extensions for specific needs.As a proof of principle,we provide an extension of i2dash optimized for single-cell RNA sequencing analysis,supporting the creation of dashboards for the visualization needs of such experiments.Equipped with these features,i2dash is suitable for extensive use in large-scale sequencing/bioinformatics facilities.Along this line,we provide i2dash as a containerized solution,enabling a straightforward large-scale deployment and sharing of dashboards using cloud services.i2dash is freely available via the R package archive CRAN(http://gffzz171d4641c03a4c33snqoxcononx606ff5.ffgz.tsg.suse.edu.cn/package=i2dash). | Arsenij Ustjanzew Jens Preussner Mette Bentsen Carsten Kuenne Mario Looso | 2022 | Genomics, Proteomics & Bioinformatics2022，20，3： | 0 |
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