Evidence map›Paper›PMID 34737331›Full record

ArticleScientific reports2021

Cross-platform transcriptomic profiling of the response to recombinant human erythropoietin.

Guan Wang, Traci Kitaoka, Ali Crawford, Qian Mao, Andrew Hesketh, Fergus M Guppy, Garrett I Ash, Jason Liu, Mark B Gerstein, Yannis P Pitsiladis

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 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
1.6field-weighted citation impact, top 16% 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, 14 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

10 authors at 5 institutions in 3 countries.

Guan WangSchool of Sport and Health Sciences, University of Brighton, Brighton, UK. g.wang2@brighton.ac.uk.
Traci KitaokaIllumina, San Diego, CA, USA.
Ali CrawfordIllumina, San Diego, CA, USA.
Qian MaoBGI, Shenzhen, China.
Andrew HeskethSchool of Applied Sciences, University of Brighton, Brighton, UK.
Fergus M GuppySchool of Applied Sciences, University of Brighton, Brighton, UK.
Garrett I AshVeterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
Jason LiuProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Mark B GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Yannis P PitsiladisSchool of Sport and Health Sciences, University of Brighton, Brighton, UK. y.pitsiladis@brighton.ac.uk.
University of Brighton · GBIllumina (United States) · USYale University · USBGI Group (China) · CNVA Connecticut Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863World Anti-Doping Agency 08C19YP
6 · The paper itself

Abstract

RNA-seq has matured and become an important tool for studying RNA biology. Here we compared two RNA-seq (MGI DNBSEQ and Illumina NextSeq 500) and two microarray platforms (GeneChip Human Transcriptome Array 2.0 and Illumina Expression BeadChip) in healthy individuals administered recombinant human erythropoietin for transcriptome-wide quantification of differential gene expression. The results show that total RNA DNB-seq generated a multitude of target genes compared to other platforms. Pathway enrichment analyses revealed genes correlate to not only erythropoiesis and oxygen transport but also a wide range of other functions, such as tissue protection and immune regulation. This study provides a knowledge base of genes relevant to EPO biology through cross-platform comparisons and validation.

Indexed as

ErythropoiesisErythropoietinGene ExpressionGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansOligonucleotide Array Sequence AnalysisRNARNA-SeqSequence Analysis, RNATranscriptomeErythropoietinRNA

Identifiers

PMID34737331
PMCPMC8568984
OpenAlexW3160267778

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.