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https://doi.org/10.1038/s41598...
Article . 2019 . Peer-reviewed
License: CC BY
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https://www.nature.com/article...
Article
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PubMed Central
Other literature type . 2019
Data sources: PubMed Central
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Unveiling novel targets of paclitaxel resistance by single molecule long-read RNA sequencing in breast cancer

Authors: Lian, Bi; Hu, Xin; Shao, Zhi-ming;

Unveiling novel targets of paclitaxel resistance by single molecule long-read RNA sequencing in breast cancer

Abstract

AbstractRNA sequencing has become one of the most common technology to study transcriptomes in cancer, whereas its length limits its application on alternative splicing (AS) events and novel isoforms. Firstly, we applied single molecule long-read RNA sequencing (Iso-seq) and de novo assembly with short-read RNA sequencing (RNA-seq) in both wild type (231-WT) and paclitaxel resistant type (231-PTX) of human breast cancer cell MDA-MBA-231. The two sequencing technology provide both the accurate transcript sequences and the deep transcript coverage. Then we combined shor-read and long-read RNA-seq to analyze alternative events and novel isoforms. Last but not the least, we selected BAK1 as our candidate target to verify our analysis. Our results implied that improved characterization of cancer genomic function may require the application of the single molecule long-read RNA sequencing to get the deeper and more precise view to transcriptional level. Our results imply that improved characterization of cancer genomic function may require the application of the single molecule long-read RNA sequencing to get the deeper and more precise view to transcriptional level.

Related Organizations
Keywords

Paclitaxel, Sequence Analysis, RNA, Breast Neoplasms, Antineoplastic Agents, Phytogenic, Article, Alternative Splicing, Drug Resistance, Neoplasm, Cell Line, Tumor, RNA Isoforms, Humans, Female, Transcriptome

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citations
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!
14
Top 10%
Average
Top 10%
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gold