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Artificial RNA Polymerase II Elongation Complexes for Dissecting Co-transcriptional RNA Processing Events
Published on: May 13, 2019
Native elongating transcript sequencing reveals human transcriptional activity at nucleotide resolution
Andreas Mayer1, Julia di Iulio1, Seth Maleri1
1Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
We developed native elongating transcript sequencing (NET-seq) to map RNA polymerase II (Pol II) density at nucleotide resolution in human cells. This method reveals novel insights into gene regulation, including antisense transcription and Pol II pausing during gene expression.
Area of Science:
- Molecular Biology
- Genomics
- Gene Regulation
Background:
- Understanding human transcription by RNA polymerase II (Pol II) is limited by the lack of nucleotide-resolution visualization methods.
- Existing techniques do not fully capture the dynamics and complexity of Pol II progression during gene expression.
Purpose of the Study:
- To develop a quantitative, high-resolution method for mapping Pol II density in human cells.
- To investigate novel aspects of transcription, including antisense transcription and Pol II pausing.
- To explore the relationship between Pol II pausing and exon definition in RNA processing.
Main Methods:
- Development and application of native elongating transcript sequencing (NET-seq) in human cells.
- Global mapping of strand-specific Pol II density at single-nucleotide resolution.
- Integration of NET-seq data with genomic footprinting to analyze transcription factor occupancy and Pol II pausing.
Main Results:
- NET-seq successfully mapped Pol II density genome-wide at nucleotide resolution.
- Discovered a mode of antisense transcription converging on canonical promoters, associated with specific chromatin states and lower gene expression.
- Identified stereotypic Pol II pausing at transcription factor binding sites.
- Observed distinct Pol II pausing signatures for retained versus skipped exons, suggesting Pol II's role in exon recognition.
Conclusions:
- Human NET-seq provides a powerful tool to visualize transcription dynamics at unprecedented resolution.
- The study reveals novel regulatory mechanisms, including convergent antisense transcription and context-dependent Pol II pausing.
- Findings highlight the intricate relationship between transcription, chromatin structure, and RNA processing, offering a deeper understanding of gene expression complexity.
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