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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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Datasets And Scripts: Full-Length Mrna Sequencing Uncovers A Widespread Coupling Between Transcription And Mrna Processing

Authors: Anvar, Seyed Yahya; Allard, Guy; Tseng, Elizabeth; Sheynkman, Gloria; de Klerk, Eleonora; Vermaat, Martijn; Johansson, Hans E.; +4 Authors

Datasets And Scripts: Full-Length Mrna Sequencing Uncovers A Widespread Coupling Between Transcription And Mrna Processing

Abstract

The multilayered control of gene expression requires tight coordination of regulatory mechanisms at the transcriptional and post-transcriptional level. In this study, we studied the interdependence of transcription, splicing and polyadenylation events on single mRNA molecules by full-length mRNA sequencing. In MCF-7 breast cancer cells and three human tissues, we found an unforeseen number of genes that demonstrate mutually inclusive or exclusive alternative transcription and mRNA processing events, which can span the entire length of mRNA molecules. Furthermore, alternative poly(A) sites that are coupled with alternative splicing events are depleted for known poly(A) signals and enriched for MBNL binding motifs, supporting a dual role of MBNL proteins in regulating splicing and polyadenylation. We predict thousands of open-reading frames from the sequence of full-length mRNAs, allowing for a more sensitive proteogenomics analysis of MCF-7 mass-spectrometry data. Our findings demonstrate that our understanding of transcriptome complexity is far from complete and provides a framework to reveal largely unresolved mechanisms that coordinate transcription and mRNA processing.

This repository hosts all datasets that were used during the course of the study.

Keywords

PacBio sequencing, MCF-7 breast cancer cells, Iso-Seq, RNA-Seq, mRNA processing, Transcriptome, Transcription, Single molecule sequencing, Alternative splicing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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