Evidence map›Paper›PMID 33290507›Full record

ArticleNucleic acids research2021

CoolMPS: evaluation of antibody labeling based massively parallel non-coding RNA sequencing.

Yongping Li, Tobias Fehlmann, Adam Borcherding, Snezana Drmanac, Sophie Liu, Laura Groeger, Chongjun Xu, Matthew Callow, Christian Villarosa, Alexander Jorjorian and 7 more

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 23 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

17 authors at 3 institutions in 3 countries.

Yongping LiChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Tobias FehlmannChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Adam BorcherdingComplete Genomics Incorporated, San Jose, CA 95134, USA.
Snezana DrmanacComplete Genomics Incorporated, San Jose, CA 95134, USA.
Sophie LiuComplete Genomics Incorporated, San Jose, CA 95134, USA.
Laura GroegerDepartment of Human Genetics, Saarland University, 66421 Homburg, Germany.
Chongjun XuMGI, BGI-Shenzhen, Shenzhen 518083, China.
Matthew CallowComplete Genomics Incorporated, San Jose, CA 95134, USA.
Christian VillarosaComplete Genomics Incorporated, San Jose, CA 95134, USA.
Alexander JorjorianComplete Genomics Incorporated, San Jose, CA 95134, USA.
Fabian KernChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Nadja GrammesChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Eckart MeeseDepartment of Human Genetics, Saarland University, 66421 Homburg, Germany.
Hui JiangMGI, BGI-Shenzhen, Shenzhen 518083, China.
Radoje DrmanacMGI, BGI-Shenzhen, Shenzhen 518083, China.
Nicole LudwigDepartment of Human Genetics, Saarland University, 66421 Homburg, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Saarland University · DEComplete Genomics (United States) · USBGI Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Results of massive parallel sequencing-by-synthesis vary depending on the sequencing approach. CoolMPS™ is a new sequencing chemistry that incorporates bases by labeled antibodies. To evaluate the performance, we sequenced 240 human non-coding RNA samples (dementia patients and controls) with and without CoolMPS. The Q30 value as indicator of the per base sequencing quality increased from 91.8 to 94%. The higher quality was reached across the whole read length. Likewise, the percentage of reads mapping to the human genome increased from 84.9 to 86.2%. For both technologies, we computed similar distributions between different RNA classes (miRNA, piRNA, tRNA, snoRNA and yRNA) and within the classes. While standard sequencing-by-synthesis allowed to recover more annotated miRNAs, CoolMPS yielded more novel miRNAs. The correlation between the two methods was 0.97. Evaluating the diagnostic performance, we observed lower minimal P-values for CoolMPS (adjusted P-value of 0.0006 versus 0.0004) and larger effect sizes (Cohen's d of 0.878 versus 0.9). Validating 19 miRNAs resulted in a correlation of 0.852 between CoolMPS and reverse transcriptase-quantitative polymerase chain reaction. Comparison to data generated with Illumina technology confirmed a known shift in the overall RNA composition. With CoolMPS we evaluated a novel sequencing-by-synthesis technology showing high performance for the analysis of non-coding RNAs.

Indexed as

Antibody SpecificityBiomarkersComputational BiologyDatabases, GeneticDatasets as TopicDementiaDNA, ComplementaryFluorescent Antibody Technique, DirectGene LibraryHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMicroRNAsNucleotidesReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionBiomarkersDNA, ComplementaryMicroRNAsNucleotidesRNA, Untranslated

Identifiers

PMID33290507
PMCPMC7826284
OpenAlexW3111557889

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.