Evidence map›Paper›PMID 32884024›Full record

ArticleScientific reports2020

Insufficiently complex unique-molecular identifiers (UMIs) distort small RNA sequencing.

Klay Saunders, Andrew G Bert, B Kate Dredge, John Toubia, Philip A Gregory, Katherine A Pillman, Gregory J Goodall, Cameron P Bracken

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 18 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

8 authors at 3 institutions in 1 country.

Klay SaundersCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.
Andrew G BertCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.
B Kate DredgeCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.
John ToubiaCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.
Philip A GregoryCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.
Katherine A PillmanCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.
Gregory J GoodallCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.
Cameron P BrackenCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia. cameron.bracken@health.sa.gov.au.
University of South Australia · AUSouth Australia Pathology · AUCentre for Cancer Biology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The attachment of unique molecular identifiers (UMIs) to RNA molecules prior to PCR amplification and sequencing, makes it possible to amplify libraries to a level that is sufficient to identify rare molecules, whilst simultaneously eliminating PCR bias through the identification of duplicated reads. Accurate de-duplication is dependent upon a sufficiently complex pool of UMIs to allow unique labelling. In applications dealing with complex libraries, such as total RNA-seq, only a limited variety of UMIs are required as the variation in molecules to be sequenced is enormous. However, when sequencing a less complex library, such as small RNAs for which there is a more limited range of possible sequences, we find increased variation in UMIs are required, even beyond that provided in a commercial kit specifically designed for the preparation of small RNA libraries for sequencing. We show that a pool of UMIs randomly varying across eight nucleotides is not of sufficient depth to uniquely tag the microRNAs to be sequenced. This results in over de-duplication of reads and the marked under-estimation of expression of the more abundant microRNAs. Whilst still arguing for the utility of UMIs, this work demonstrates the importance of their considered design to avoid errors in the estimation of gene expression in libraries derived from select regions of the transcriptome or small genomes.

Indexed as

AlgorithmsEpithelial CellsHumansMesenchymal Stem CellsMicroRNAsRNASequence Analysis, DNASequence Analysis, RNAMicroRNAsRNA

Identifiers

PMID32884024
PMCPMC7471316
OpenAlexW3082780589

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.