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  • Brors, Benedikt (2)
  • Rosenstiel, Philip (2)
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  • Ardakani, Fatemeh Behjati (1)
  • Aukema, Sietse M. (1)
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  • Bidirectional genes (1)
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  • Lymphoid tissues (1)
  • Oncology (1)
  • Single-cell RNA-seq (1)

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  • Medizin (2)

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Integrative analysis of single-cell expression data reveals distinct regulatory states in bidirectional promoters (2018)
Ardakani, Fatemeh Behjati ; Kattler, Kathrin ; Nordström, Karl ; Gasparoni, Nina ; Gasparoni, Gilles ; Fuchs, Sarah ; Sinha, Anupam ; Barann, Matthias ; Ebert, Peter ; Fischer, Jonas ; Hutter, Barbara ; Zipprich, Gideon ; Imbusch, Charles D. ; Felder, Bärbel ; Eils, Jürgen ; Brors, Benedikt ; Lengauer, Thomas ; Manke, Thomas ; Rosenstiel, Philip ; Walter, Jörn ; Schulz, Marcel Holger
Background: Bidirectional promoters (BPs) are prevalent in eukaryotic genomes. However, it is poorly understood how the cell integrates different epigenomic information, such as transcription factor (TF) binding and chromatin marks, to drive gene expression at BPs. Single-cell sequencing technologies are revolutionizing the field of genome biology. Therefore, this study focuses on the integration of single-cell RNA-seq data with bulk ChIP-seq and other epigenetics data, for which single-cell technologies are not yet established, in the context of BPs. Results: We performed integrative analyses of novel human single-cell RNA-seq (scRNA-seq) data with bulk ChIP-seq and other epigenetics data. scRNA-seq data revealed distinct transcription states of BPs that were previously not recognized. We find associations between these transcription states to distinct patterns in structural gene features, DNA accessibility, histone modification, DNA methylation and TF binding profiles. Conclusions: Our results suggest that a complex interplay of all of these elements is required to achieve BP-specific transcriptional output in this specialized promoter configuration. Further, our study implies that novel statistical methods can be developed to deconvolute masked subpopulations of cells measured with different bulk epigenomic assays using scRNA-seq data.
Genomic and transcriptomic changes complement each other in the pathogenesis of sporadic Burkitt lymphoma (2019)
López, Cristina ; Kleinheinz, Kortine ; Aukema, Sietse M. ; Rohde, Marius ; Bernhart, Stephan H. ; Hübschmann, Daniel ; Wagener, Rabea ; Toprak, Umut H. ; Raimondi, Francesco ; Kreuz, Markus ; Waszak, Sebastian Martin ; Huang, Zhiqin ; Sieverling, Lina ; Paramasivam, Nagarajan ; Seufert, Julian ; Sungalee, Stephanie ; Russell, Robert B. ; Bausinger, Julia ; Kretzmer, Helene ; Ammerpohl, Ole ; Bergmann, Anke K. ; Binder, Hans ; Borkhardt, Arndt ; Brors, Benedikt ; Claviez, Alexander ; Doose, Gero ; Feuerbach, Lars ; Haake, Andrea ; Hansmann, Martin-Leo ; Höll, Jessica ; Hummel, Michael ; Korbel, Jan Oliver ; Lawerenz, Chris ; Lenze, Dido ; Radlwimmer, Bernhard ; Richter, Julia ; Rosenstiel, Philip ; Rosenwald, Andreas ; Schilhabel, Markus B. ; Stein, Harald ; Stilgenbauer, Stephan ; Stadler, Peter F. ; Szczepanowski, Monika ; Weniger, Marc Andrèe ; Zapatka, Marc ; Eils, Roland ; Lichter, Peter ; Löffler, Markus ; Möller, Peter ; Trümper, Lorenz ; Klapper, Wolfram ; Hoffmann, Steve ; Küppers, Ralf ; Burkhardt, Birgit ; Schlesner, Matthias ; Siebert, Reiner
Burkitt lymphoma (BL) is the most common B-cell lymphoma in children. Within the International Cancer Genome Consortium (ICGC), we performed whole genome and transcriptome sequencing of 39 sporadic BL. Here, we unravel interaction of structural, mutational, and transcriptional changes, which contribute to MYC oncogene dysregulation together with the pathognomonic IG-MYC translocation. Moreover, by mapping IGH translocation breakpoints, we provide evidence that the precursor of at least a subset of BL is a B-cell poised to express IGHA. We describe the landscape of mutations, structural variants, and mutational processes, and identified a series of driver genes in the pathogenesis of BL, which can be targeted by various mechanisms, including IG-non MYC translocations, germline and somatic mutations, fusion transcripts, and alternative splicing.
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