Evidence map›Paper›PMID 35869428›Full record

ArticleBMC genomics2022

Poly(a) selection introduces bias and undue noise in direct RNA-sequencing.

Marcus J Viscardi, Joshua A Arribere

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

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  14. Isolation of a Specific Transcript Using Biotinylated Antisense Probes.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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  16. Article
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  19. High-resolution reconstruction of aRNA (New York, N.Y.) · 2024
    Article
  20. Long-read RNA sequencing reveals allele-specific NbioRxiv : the preprint server for biology · 2024
    Article
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

2 authors at 1 institution in 1 country.

Marcus J ViscardiDepartment of Molecular, Cellular and Developmental Biology, University of California at Santa Cruz, Santa Cruz, CA, USA.
Joshua A ArribereDepartment of Molecular, Cellular and Developmental Biology, University of California at Santa Cruz, Santa Cruz, CA, USA. jarriber@ucsc.edu.
University of California, Santa Cruz · US

Funding

Training Program in Molecular, Cell, and Developmental BiologyT32GM133391 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Needhi Bhalla · 2019 to 2026
$3.0M
NIGMS NIH HHS T32 GM133391
6 · The paper itself

Abstract

backgroundGenome-wide RNA-sequencing technologies are increasingly critical to a wide variety of diagnostic and research applications. RNA-seq users often first enrich for mRNA, with the most popular enrichment method being poly(A) selection. In many applications it is well-known that poly(A) selection biases the view of the transcriptome by selecting for longer tailed mRNA species.

resultsHere, we show that poly(A) selection biases Oxford Nanopore direct RNA sequencing. As expected, poly(A) selection skews sequenced mRNAs toward longer poly(A) tail lengths. Interestingly, we identify a population of mRNAs (> 10% of genes' mRNAs) that are inconsistently captured by poly(A) selection due to highly variable poly(A) tails, and demonstrate this phenomenon in our hands and in published data. Importantly, we show poly(A) selection is dispensable for Oxford Nanopore's direct RNA-seq technique, and demonstrate successful library construction without poly(A) selection, with decreased input, and without loss of quality.

conclusionsOur work expands the utility of direct RNA-seq by validating the use of total RNA as input, and demonstrates important technical artifacts from poly(A) selection that inconsistently skew mRNA expression and poly(A) tail length measurements.

Indexed as

Poly ARNAHigh-Throughput Nucleotide SequencingPolyadenylationRNA, MessengerSequence Analysis, RNATranscriptomePoly ARNARNA, MessengerDirect RNA-sequencingOxford NanoporePoly(a) selectionRNA-sequencingTranscriptomics

Identifiers

PMID35869428
PMCPMC9306060
OpenAlexW4286471979

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.