Evidence map›Paper›PMID 34689749›Full record

ArticleBMC genomics2021

Application of the 3' mRNA-Seq using unique molecular identifiers in highly degraded RNA derived from formalin-fixed, paraffin-embedded tissue.

Jin Sung Jang, Eileen Holicky, Julie Lau, Samantha McDonough, Mark Mutawe, Matthew J Koster, Kenneth J Warrington, Julie M Cuninngham

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

12 citing papers in PubMed, 12 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 2 institutions in 1 country.

Jin Sung JangGenome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA. jang.jin@mayo.edu.ORCID http://orcid.org/0000-0001-7199-4418
Eileen HolickyGenome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA.
Julie LauGenome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA.
Samantha McDonoughGenome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA.
Mark MutaweGenome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA.
Matthew J KosterDepartment of Internal Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA.
Kenneth J WarringtonDepartment of Internal Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA.
Julie M CuninnghamGenome Analysis Core, Medical Genome Facility, Center for Individualized Medicine, Mayo Clinic, Stabile Research Building, 200 First Street SW, Rochester, MN, 55905, USA. cunningham.julie@mayo.edu.
Mayo Clinic · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArchival formalin-fixed, paraffin-embedded (FFPE) tissue samples with clinical and histological data are a singularly valuable resource for developing new molecular biomarkers. However, transcriptome analysis remains challenging with standard mRNA-seq methods as FFPE derived-RNA samples are often highly modified and fragmented. The recently developed 3' mRNA-seq method sequences the 3' region of mRNA using unique molecular identifiers (UMI), thus generating gene expression data with minimal PCR bias. In this study, we evaluated the performance of 3' mRNA-Seq using Lexogen QuantSeq 3' mRNA-Seq Library Prep Kit FWD with UMI, comparing with TruSeq Stranded mRNA-Seq and RNA Exome Capture kit. The fresh-frozen (FF) and FFPE tissues yielded nucleotide sizes range from 13 to > 70% of DV200 values; input amounts ranged from 1 ng to 100 ng for validation.

resultsThe total mapped reads of QuantSeq 3' mRNA-Seq to the reference genome ranged from 99 to 74% across all samples. After PCR bias correction, 3 to 56% of total sequenced reads were retained. QuantSeq 3' mRNA-Seq data showed highly reproducible data across replicates in Universal Human Reference RNA (UHR, R > 0.94) at input amounts from 1 ng to 100 ng, and FF and FFPE paired samples (R = 0.92) at 10 ng. Severely degraded FFPE RNA with ≤30% of DV200 value showed good concordance (R > 0.87) with 100 ng input. A moderate correlation was observed when directly comparing QuantSeq 3' mRNA-Seq data with TruSeq Stranded mRNA-Seq (R = 0.78) and RNA Exome Capture data (R > 0.67).

conclusionIn this study, QuantSeq 3' mRNA-Seq with PCR bias correction using UMI is shown to be a suitable method for gene quantification in both FF and FFPE RNAs. 3' mRNA-Seq with UMI may be applied to severely degraded RNA from FFPE tissues generating high-quality sequencing data.

Indexed as

Gene Expression ProfilingRNAFormaldehydeHumansParaffin EmbeddingRNA, MessengerSequence Analysis, RNATissue FixationFormaldehydeRNARNA, Messenger3′ mRNA-SeqFFPEGene expressionPCR amplification biasUMI

Identifiers

PMID34689749
PMCPMC8543821
OpenAlexW3209351892

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.