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A.A. van den Berg
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The interplay between polymerase organization and nucleosome occupancy along DNA
How dynamic roadblocks on the DNA induce the formation of RNA polymerase pelotons
During transcription RNA polymerase (RNAP) moves along a DNA molecule to copy the information on the DNA to an RNA molecule. Many textbook pictures show an RNAP sliding along empty DNA, but in reality it is crowded on the DNA and RNAP competes for space with many proteins such as other RNAP’s and histones. Coverage of DNA by histones is essential for DNA protection and signaling. However, during transcription RNAP evicts histones, which then rebind quickly or are replaced by other proteins. How does crowding of RNAP and histones on the DNA affects transcription dynamics on the one hand, and how does transcription activity change the density and exchange of histones along the DNA on the other hand? Those are the central questions of this thesis.
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During transcription RNA polymerase (RNAP) moves along a DNA molecule to copy the information on the DNA to an RNA molecule. Many textbook pictures show an RNAP sliding along empty DNA, but in reality it is crowded on the DNA and RNAP competes for space with many proteins such as other RNAP’s and histones. Coverage of DNA by histones is essential for DNA protection and signaling. However, during transcription RNAP evicts histones, which then rebind quickly or are replaced by other proteins. How does crowding of RNAP and histones on the DNA affects transcription dynamics on the one hand, and how does transcription activity change the density and exchange of histones along the DNA on the other hand? Those are the central questions of this thesis.
During eukaryotic transcription, RNA polymerase (RNAP) translocates along DNA molecules covered with nucleosomes and other DNA binding proteins. Though the interactions between a single nucleosome and RNAP are by now fairly well understood, this understanding has not been synthesized into a description of transcription on crowded genes, where multiple RNAP transcribe through nucleosomes while preserving the nucleosome coverage. We here take a deductive modeling approach to establish the consequences of RNAP–nucleosome interactions for transcription in crowded environments. We show that under physiologically crowded conditions, the interactions of RNAP with nucleosomes induce a strong kinetic attraction between RNAP molecules, causing them to self-organize into stable and moving pelotons. The peloton formation quantitatively explains the observed nucleosome and RNAP depletion close to the initiation site on heavily transcribed genes. Pelotons further translate into short-timescale transcriptional bursts at termination, resulting in burst characteristics consistent with instances of bursty transcription observed in vivo. To facilitate experimental testing of our proposed mechanism, we present several analytic relations that make testable quantitative predictions.
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During eukaryotic transcription, RNA polymerase (RNAP) translocates along DNA molecules covered with nucleosomes and other DNA binding proteins. Though the interactions between a single nucleosome and RNAP are by now fairly well understood, this understanding has not been synthesized into a description of transcription on crowded genes, where multiple RNAP transcribe through nucleosomes while preserving the nucleosome coverage. We here take a deductive modeling approach to establish the consequences of RNAP–nucleosome interactions for transcription in crowded environments. We show that under physiologically crowded conditions, the interactions of RNAP with nucleosomes induce a strong kinetic attraction between RNAP molecules, causing them to self-organize into stable and moving pelotons. The peloton formation quantitatively explains the observed nucleosome and RNAP depletion close to the initiation site on heavily transcribed genes. Pelotons further translate into short-timescale transcriptional bursts at termination, resulting in burst characteristics consistent with instances of bursty transcription observed in vivo. To facilitate experimental testing of our proposed mechanism, we present several analytic relations that make testable quantitative predictions.