Tanner Stokes
Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq
Stokes, Tanner; Cen, Haoning Howard; Kapranov, Philipp; Gallagher, Iain J.; Pitsillides, Andrew A.; Volmar, Claude‐Henry; Kraus, William E.; Johnson, James D.; Phillips, Stuart M.; Wahlestedt, Claes; Timmons, James A.
Authors
Haoning Howard Cen
Philipp Kapranov
Dr Iain Gallagher I.Gallagher@napier.ac.uk
Associate Professor
Andrew A. Pitsillides
Claude‐Henry Volmar
William E. Kraus
James D. Johnson
Stuart M. Phillips
Claes Wahlestedt
James A. Timmons
Abstract
Sequencing the human genome empowers translational medicine, facilitating transcriptome-wide molecular diagnosis, pathway biology, and drug repositioning. Initially, microarrays are used to study the bulk transcriptome; but now short-read RNA sequencing (RNA-seq) predominates. Positioned as a superior technology, that makes the discovery of novel transcripts routine, most RNA-seq analyses are in fact modeled on the known transcriptome. Limitations of the RNA-seq methodology have emerged, while the design of, and the analysis strategies applied to, arrays have matured. An equitable comparison between these technologies is provided, highlighting advantages that modern arrays hold over RNA-seq. Array protocols more accurately quantify constitutively expressed protein coding genes across tissue replicates, and are more reliable for studying lower expressed genes. Arrays reveal long noncoding RNAs (lncRNA) are neither sparsely nor lower expressed than protein coding genes. Heterogeneous coverage of constitutively expressed genes observed with RNA-seq, undermines the validity and reproducibility of pathway analyses. The factors driving these observations, many of which are relevant to long-read or single-cell sequencing are discussed. As proposed herein, a reappreciation of bulk transcriptomic methods is required, including wider use of the modern high-density array data—to urgently revise existing anatomical RNA reference atlases and assist with more accurate study of lncRNAs.
Citation
Stokes, T., Cen, H. H., Kapranov, P., Gallagher, I. J., Pitsillides, A. A., Volmar, C., Kraus, W. E., Johnson, J. D., Phillips, S. M., Wahlestedt, C., & Timmons, J. A. (2023). Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq. Advanced Genetics, 4(2), Article 2200024. https://doi.org/10.1002/ggn2.202200024
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 16, 2022 |
Online Publication Date | Jan 17, 2023 |
Publication Date | 2023-06 |
Deposit Date | Jan 18, 2023 |
Publicly Available Date | Jan 18, 2023 |
Journal | Advanced Genetics |
Print ISSN | 2641-6573 |
Electronic ISSN | 2641-6573 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 4 |
Issue | 2 |
Article Number | 2200024 |
DOI | https://doi.org/10.1002/ggn2.202200024 |
Keywords | arrays, cDNA, cRNA, diagnostics, drug repurposing, lncRNA, noncoding RNA, RNA, sequencing, splicing |
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Transcriptomics For Clinical And Experimental Biology Research: Hang On A Seq
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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