Evidence map›Paper›PMID 30625385›Full record

ArticleMethods (San Diego, Calif.)2019

Development of Poly(A)-ClickSeq as a tool enabling simultaneous genome-wide poly(A)-site identification and differential expression analysis.

Nathan D Elrod, Elizabeth A Jaworski, Ping Ji, Eric J Wagner, Andrew Routh

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  5. Regulation of theRNA (New York, N.Y.) · 2024
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  7. Article
  8. Article
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  11. QTQTN motif upstream of the furin-cleavage site plays a key role in SARS-CoV-2 infection and pathogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
  13. Article
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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

5 authors.

Nathan D ElrodDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Elizabeth A JaworskiDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Ping JiDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Eric J WagnerDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX, USA. Electronic address: ejwagner@utmb.edu.
Andrew RouthDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX, USA. Electronic address: alrouth@utmb.edu.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
In Silico Screening of Alternative Polyadenylation Regulators in CancersK01LM012877 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI XIA, ZHENG · 2018 to 2020
$428k
Characterization of Ras/Akt/CFIm25/APA signaling in Glioblastoma Development and ProgressionR03CA223893 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI JI, PING · 2018 to 2019
$158k
NCI NIH HHS P30 CA016672NCI NIH HHS R03 CA223893NLM NIH HHS K01 LM012877
6 · The paper itself

Abstract

The use of RNA-seq as a generalized tool to measure the differential expression of genes has essentially replaced the use of the microarray. Despite the acknowledged technical advantages to this approach, RNA-seq library preparation remains mostly conducted by core facilities rather than in the laboratory due to the infrastructure, expertise and time required per sample. We have recently described two 'click-chemistry' based library construction methods termed ClickSeq and Poly(A)-ClickSeq (PAC-seq) as alternatives to conventional RNA-seq that are both cost effective and rely on straightforward reagents readily available to most labs. ClickSeq is random-primed and can sequence any (unfragmented) RNA template, while PAC-seq is targeted to poly(A) tails of mRNAs. Here, we further develop PAC-seq as a platform that allows for simultaneous mapping of poly(A) sites and the measurement of differential expression of genes. We provide a detailed protocol, descriptions of appropriate computational pipelines, and a proof-of-principle dataset to illustrate the technique. PAC-seq offers a unique advantage over other 3' end mapping protocols in that it does not require additional purification, selection, or fragmentation steps allowing sample preparation directly from crude total cellular RNA. We have shown that PAC-seq is able to accurately and sensitively count transcripts for differential gene expression analysis, as well as identify alternative poly(A) sites and determine the precise nucleotides of the poly(A) tail boundaries.

Indexed as

3' Flanking RegionAnimalsCells, CulturedClick ChemistryDrosophila melanogasterGene Expression ProfilingGene Expression RegulationGene LibraryGenome, InsectHigh-Throughput Nucleotide SequencingInsect ProteinsPoly APolyadenylationRNA, MessengerSequence Analysis, RNAInsect ProteinsPoly ARNA, MessengerClick-chemistryClickSeqDifferential gene expressionPolyadenylationPoly(A) sites

Identifiers

PMID30625385
PMCPMC7291597

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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.