Evidence map›Paper›PMID 28459821›Full record

ArticlePloS one2017

Optimized approach for Ion Proton RNA sequencing reveals details of RNA splicing and editing features of the transcriptome.

Roger B Brown, Nathaniel J Madrid, Hideaki Suzuki, Scott A Ness

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
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  5. The immune response to a fungus in pancreatic cancer samples.bioRxiv : the preprint server for biology · 2023
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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

4 authors.

Roger B BrownDepartment of Internal Medicine, Division of Molecular Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America.
Nathaniel J MadridDepartment of Internal Medicine, Division of Molecular Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America.
Hideaki SuzukiDepartment of Internal Medicine, Division of Molecular Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America.
Scott A NessDepartment of Internal Medicine, Division of Molecular Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, United States of America.ORCID http://orcid.org/0000-0001-6965-8909

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
Mutations and Target Genes in Adenoid Cystic CarcinomaR01DE023222 · NIDCR · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Viswanathan Palanisamy · 2012 to 2026
$5.6M
Biology of Infectious Diseases &InflammationT32AI007538 · NIAID · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Michelle A Ozbun · 1998 to 2026
$5.2M
Alternative RNA splicing and protein products in leukemia outcome (PQ11)R01CA170250 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI NESS, SCOTT A. · 2012 to 2015
$2.3M
NCI NIH HHS P30 CA118100NCI NIH HHS R01 CA170250NIAID NIH HHS T32 AI007538NIDCR NIH HHS R01 DE023222
6 · The paper itself

Abstract

RNA-sequencing (RNA-seq) has become the standard method for unbiased analysis of gene expression but also provides access to more complex transcriptome features, including alternative RNA splicing, RNA editing, and even detection of fusion transcripts formed through chromosomal translocations. However, differences in library methods can adversely affect the ability to recover these different types of transcriptome data. For example, some methods have bias for one end of transcripts or rely on low-efficiency steps that limit the complexity of the resulting library, making detection of rare transcripts less likely. We tested several commonly used methods of RNA-seq library preparation and found vast differences in the detection of advanced transcriptome features, such as alternatively spliced isoforms and RNA editing sites. By comparing several different protocols available for the Ion Proton sequencer and by utilizing detailed bioinformatics analysis tools, we were able to develop an optimized random primer based RNA-seq technique that is reliable at uncovering rare transcript isoforms and RNA editing features, as well as fusion reads from oncogenic chromosome rearrangements. The combination of optimized libraries and rapid Ion Proton sequencing provides a powerful platform for the transcriptome analysis of research and clinical samples.

Indexed as

RNA EditingRNA SplicingTranscriptomeAntigens, CD34HumansJurkat CellsProtein IsoformsSequence Analysis, RNAAntigens, CD34Protein Isoforms

Identifiers

PMID28459821
PMCPMC5411089

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.