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Łukasz M. Boryń

Researcher at Research Institute of Molecular Pathology

Publications -  12
Citations -  1821

Łukasz M. Boryń is an academic researcher from Research Institute of Molecular Pathology. The author has contributed to research in topics: Enhancer & Enhancer RNAs. The author has an hindex of 6, co-authored 11 publications receiving 1464 citations.

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Genome-wide quantitative enhancer activity maps identified by STARR-seq.

TL;DR: STARR-seq identifies thousands of cell type–specific enhancers across a broad continuum of strengths, links differential gene expression to differences in enhancer activity, and creates a genome-wide quantitative enhancer map, revealing the highly complex regulation of transcription.
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Transcriptional plasticity promotes primary and acquired resistance to BET inhibition

TL;DR: The results identify and validate WNT signalling as a driver and candidate biomarker of primary and acquired BET resistance in leukaemia, and implicate the rewiring of transcriptional programs as an important mechanism promoting resistance to BET inhibitors and, potentially, other chromatin-targeted therapies.
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Resolving systematic errors in widely used enhancer activity assays in human cells

TL;DR: All episomal enhancer activity assays in mammalian cells are overcome by employing the ORI as core promoter and by inhibiting two IFN-I-inducing kinases, enabling genome-wide STARR-seq screens in human cells.
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Dissection of thousands of cell type-specific enhancers identifies dinucleotide repeat motifs as general enhancer features

TL;DR: Thousands of functional enhancer sequences from three different Drosophila cell lines are computationally dissected and it is found that the enhancers display distinct cis-regulatory sequence signatures, which are predictive of the enhancer' cell type-specific or broad activities.
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Hormone-Responsive Enhancer-Activity Maps Reveal Predictive Motifs, Indirect Repression, and Targeting of Closed Chromatin

TL;DR: It is demonstrated that enhancer activation depends on cis-regulatory motif combinations that differ between cell types and can predict cell-type-specific ecdysone targeting, and is applicable to study signal-dependent enhancers for different pathways and across organisms.