Evidence map›Paper›PMID 33835463›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Transcript Isoform-Specific Estimation of Poly(A) Tail Length by Nanopore Sequencing of Native RNA.

Adnan M Niazi, Maximilian Krause, Eivind Valen

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Adnan M Niazi *Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Maximilian Krause *Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway. maximilian.krause@uib.no.
Eivind ValenComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
University of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The poly(A) tail is a homopolymeric stretch of adenosine at the 3'-end of mature RNA transcripts and its length plays an important role in nuclear export, stability, and translational regulation of mRNA. Existing techniques for genome-wide estimation of poly(A) tail length are based on short-read sequencing. These methods are limited because they sequence a synthetic DNA copy of mRNA instead of the native transcripts. Furthermore, they can identify only a short segment of the transcript proximal to the poly(A) tail which makes it difficult to assign the measured poly(A) length uniquely to a single transcript isoform. With the introduction of native RNA sequencing by Oxford Nanopore Technologies, it is now possible to sequence full-length native RNA. A single long read contains both the transcript and the associated poly(A) tail, thereby making transcriptome-wide isoform-specific poly(A) tail length assessment feasible. We developed tailfindr-an R-based package for estimating poly(A) tail length from Oxford Nanopore sequencing data. In this chapter, we describe in detail the pipeline for transcript isoform-specific poly(A) tail profiling based on native RNA Nanopore sequencing-from library preparation to downstream data analysis with tailfindr.

Indexed as

AnimalsFeasibility StudiesGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansNanopore SequencingPoly AProtein IsoformsRNARNA, MessengerRNA Processing, Post-TranscriptionalSequence Analysis, RNATranscriptomeZebrafishPoly AProtein IsoformsRNARNA, MessengerNanopore sequencingNative RNAPoly(A) tailRtailfindrTranscriptomics

Identifiers

PMID33835463
OpenAlexW3149519053

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.