Mammalian NET-Seq Reveals Genome-wide Nascent Transcription Coupled to RNA Processing
Takayuki Nojima,Tomás Gomes,Ana Rita Grosso,Hiroshi Kimura,Michael J. Dye,Somdutta Dhir,Maria Carmo-Fonseca,Nick J. Proudfoot +7 more
TLDR
The results suggest that CTD phosphorylation patterns established for yeast transcription are significantly different in mammals, and native elongating transcript sequencing technology for mammalian chromatin (mNET-seq) provides dynamic and detailed snapshots of the complex events underlying transcription in mammals.About:
This article is published in Cell.The article was published on 2015-04-23 and is currently open access. It has received 458 citations till now. The article focuses on the topics: RNA polymerase II holoenzyme & RNA polymerase II.read more
Citations
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RNA sequencing: the teenage years
TL;DR: Advances in RNA-sequencing technologies and methods over the past decade are discussed and adaptations that are enabling a fuller understanding of RNA biology are outlined, from when and where an RNA is expressed to the structures it adopts.
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Linking Long Noncoding RNA Localization and Function.
TL;DR: Investigating the mechanisms that determine the subcellular fate of lncRNAs has the potential to provide new insights into their biogenesis and specialized functions.
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Enhancers as non-coding RNA transcription units: recent insights and future perspectives
TL;DR: Research progress in the field of enhancer functions and mechanisms is reviewed and several important, unresolved questions regarding the roles and mechanisms of enhancers in gene regulation are discussed.
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RNA-Seq methods for transcriptome analysis
TL;DR: Current RNA‐Seq methods for general analysis of gene expression and several specific applications are reviewed, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing and single‐cell analysis.
Journal ArticleDOI
Determinants of enhancer and promoter activities of regulatory elements.
Robin Andersson,Albin Sandelin +1 more
TL;DR: The latest findings from methodologies for profiling and testing transcriptional regulatory elements at scale are discussed, and how the data support an updated, nuanced model that accounts for the numerous overlapping molecular properties of promoters and enhancers are explained.
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