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

Guan Wang; Traci Kitaoka; Ali Crawford; Qian Mao; Andrew Hesketh; Fergus Guppy; Garrett Ash; Jason Liu; Mark Gerstein; Yannis Pitsiladis

doi:10.21203/rs.3.rs-510750/v1

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

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

Research output: Working paper › Preprint

Abstract

RNA-seq has matured and become an important tool for studying RNA biology. Here we compared two RNA-seq (Illumina sequencing by synthesis and MGI DNBSEQ™) and two microarray platforms (Illumina Expression BeadChip and GeneChip™ Human Transcriptome Array 2.0) in healthy individuals administered recombinant human erythropoietin for transcriptome-wide quantification of differential gene expression. The results show that total RNA sequencing combined with DNB-seq produced a multitude of genes of biological relevance and significance in response to recombinant human erythropoietin, in contrast to other platforms. Through data triangulation linking genes to functions, genes representing the processes of erythropoiesis as well as non-erythropoietic functions of erythropoietin were unveiled. This study provides a knowledge base of genes characterising the responses to recombinant human erythropoietin through cross-platform comparison and validation.

Original language	English
DOIs	https://doi.org/10.21203/rs.3.rs-510750/v1
Publication status	Published - 19 May 2021

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title = "Cross-platform transcriptomic profiling of the response to recombinant human erythropoietin",

abstract = "RNA-seq has matured and become an important tool for studying RNA biology. Here we compared two RNA-seq (Illumina sequencing by synthesis and MGI DNBSEQ{\texttrademark}) and two microarray platforms (Illumina Expression BeadChip and GeneChip{\texttrademark} Human Transcriptome Array 2.0) in healthy individuals administered recombinant human erythropoietin for transcriptome-wide quantification of differential gene expression. The results show that total RNA sequencing combined with DNB-seq produced a multitude of genes of biological relevance and significance in response to recombinant human erythropoietin, in contrast to other platforms. Through data triangulation linking genes to functions, genes representing the processes of erythropoiesis as well as non-erythropoietic functions of erythropoietin were unveiled. This study provides a knowledge base of genes characterising the responses to recombinant human erythropoietin through cross-platform comparison and validation.",

author = "Guan Wang and Traci Kitaoka and Ali Crawford and Qian Mao and Andrew Hesketh and Fergus Guppy and Garrett Ash and Jason Liu and Mark Gerstein and Yannis Pitsiladis",

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T1 - Cross-platform transcriptomic profiling of the response to recombinant human erythropoietin

AU - Wang, Guan

AU - Kitaoka, Traci

AU - Crawford, Ali

AU - Mao, Qian

AU - Hesketh, Andrew

AU - Guppy, Fergus

AU - Ash, Garrett

AU - Liu, Jason

AU - Gerstein, Mark

AU - Pitsiladis, Yannis

PY - 2021/5/19

Y1 - 2021/5/19

N2 - RNA-seq has matured and become an important tool for studying RNA biology. Here we compared two RNA-seq (Illumina sequencing by synthesis and MGI DNBSEQ™) and two microarray platforms (Illumina Expression BeadChip and GeneChip™ Human Transcriptome Array 2.0) in healthy individuals administered recombinant human erythropoietin for transcriptome-wide quantification of differential gene expression. The results show that total RNA sequencing combined with DNB-seq produced a multitude of genes of biological relevance and significance in response to recombinant human erythropoietin, in contrast to other platforms. Through data triangulation linking genes to functions, genes representing the processes of erythropoiesis as well as non-erythropoietic functions of erythropoietin were unveiled. This study provides a knowledge base of genes characterising the responses to recombinant human erythropoietin through cross-platform comparison and validation.

AB - RNA-seq has matured and become an important tool for studying RNA biology. Here we compared two RNA-seq (Illumina sequencing by synthesis and MGI DNBSEQ™) and two microarray platforms (Illumina Expression BeadChip and GeneChip™ Human Transcriptome Array 2.0) in healthy individuals administered recombinant human erythropoietin for transcriptome-wide quantification of differential gene expression. The results show that total RNA sequencing combined with DNB-seq produced a multitude of genes of biological relevance and significance in response to recombinant human erythropoietin, in contrast to other platforms. Through data triangulation linking genes to functions, genes representing the processes of erythropoiesis as well as non-erythropoietic functions of erythropoietin were unveiled. This study provides a knowledge base of genes characterising the responses to recombinant human erythropoietin through cross-platform comparison and validation.

U2 - 10.21203/rs.3.rs-510750/v1

DO - 10.21203/rs.3.rs-510750/v1

M3 - Preprint

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

ER -

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

Abstract

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