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Wiley Interdisciplinary Reviews - RNA
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Measuring the tail: Methods for poly(A) tail profiling

Authors: Aleksandra Brouze; Paweł Szczepan Krawczyk; Andrzej Dziembowski; Seweryn Mroczek;

Measuring the tail: Methods for poly(A) tail profiling

Abstract

AbstractThe 3′‐end poly(A) tail is an important and potent feature of most mRNA molecules that affects mRNA fate and translation efficiency. Polyadenylation is a posttranscriptional process that occurs in the nucleus by canonical poly(A) polymerases (PAPs). In some specific instances, the poly(A) tail can also be extended in the cytoplasm by noncanonical poly(A) polymerases (ncPAPs). This epitranscriptomic regulation of mRNA recently became one of the most interesting aspects in the field. Advances in RNA sequencing technologies and software development have allowed the precise measurement of poly(A) tails, identification of new ncPAPs, expansion of the function of known enzymes, discovery and a better understanding of the physiological role of tail heterogeneity, and recognition of a correlation between tail length and RNA translatability. Here, we summarize the development of polyadenylation research methods, including classic low‐throughput approaches, Illumina‐based genome‐wide analysis, and advanced state‐of‐art techniques that utilize long‐read third‐generation sequencing with Pacific Biosciences and Oxford Nanopore Technologies platforms. A boost in technical opportunities over recent decades has allowed a better understanding of the regulation of gene expression at the mRNA level.This article is categorized under: RNA Methods > RNA Analyses In Vitro and In Silico

Country
Poland
Keywords

Cell Nucleus, Cytoplasm, Sequence Analysis, RNA, Advanced Reviews, RNA, Messenger, Polyadenylation, Poly A

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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!
49
Top 1%
Top 10%
Top 1%
Green
hybrid