Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories - PubMed (original) (raw)
. 2013 Nov;31(11):1015-22.
doi: 10.1038/nbt.2702. Epub 2013 Sep 15.
Marc R Friedländer, Jonas Almlöf, Michael Sammeth, Irina Pulyakhina, Seyed Yahya Anvar, Jeroen F J Laros, Henk P J Buermans, Olof Karlberg, Mathias Brännvall; GEUVADIS Consortium; Johan T den Dunnen, Gert-Jan B van Ommen, Ivo G Gut, Roderic Guigó, Xavier Estivill, Ann-Christine Syvänen, Emmanouil T Dermitzakis, Tuuli Lappalainen
Collaborators, Affiliations
- PMID: 24037425
- DOI: 10.1038/nbt.2702
Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories
Peter A C 't Hoen et al. Nat Biotechnol. 2013 Nov.
Abstract
RNA sequencing is an increasingly popular technology for genome-wide analysis of transcript sequence and abundance. However, understanding of the sources of technical and interlaboratory variation is still limited. To address this, the GEUVADIS consortium sequenced mRNAs and small RNAs of lymphoblastoid cell lines of 465 individuals in seven sequencing centers, with a large number of replicates. The variation between laboratories appeared to be considerably smaller than the already limited biological variation. Laboratory effects were mainly seen in differences in insert size and GC content and could be adequately corrected for. In small-RNA sequencing, the microRNA (miRNA) content differed widely between samples owing to competitive sequencing of rRNA fragments. This did not affect relative quantification of miRNAs. We conclude that distributing RNA sequencing among different laboratories is feasible, given proper standardization and randomization procedures. We provide a set of quality measures and guidelines for assessing technical biases in RNA-seq data.
Similar articles
- Comparison of Reproducibility, Accuracy, Sensitivity, and Specificity of miRNA Quantification Platforms.
Godoy PM, Barczak AJ, DeHoff P, Srinivasan S, Etheridge A, Galas D, Das S, Erle DJ, Laurent LC. Godoy PM, et al. Cell Rep. 2019 Dec 17;29(12):4212-4222.e5. doi: 10.1016/j.celrep.2019.11.078. Cell Rep. 2019. PMID: 31851944 Free PMC article. - Measurement of mRNA abundance using RNA-seq data: RPKM measure is inconsistent among samples.
Wagner GP, Kin K, Lynch VJ. Wagner GP, et al. Theory Biosci. 2012 Dec;131(4):281-5. doi: 10.1007/s12064-012-0162-3. Epub 2012 Aug 8. Theory Biosci. 2012. PMID: 22872506 - Microfluidic single-cell whole-transcriptome sequencing.
Streets AM, Zhang X, Cao C, Pang Y, Wu X, Xiong L, Yang L, Fu Y, Zhao L, Tang F, Huang Y. Streets AM, et al. Proc Natl Acad Sci U S A. 2014 May 13;111(19):7048-53. doi: 10.1073/pnas.1402030111. Epub 2014 Apr 29. Proc Natl Acad Sci U S A. 2014. PMID: 24782542 Free PMC article. - Current and Future Methods for mRNA Analysis: A Drive Toward Single Molecule Sequencing.
Bayega A, Fahiminiya S, Oikonomopoulos S, Ragoussis J. Bayega A, et al. Methods Mol Biol. 2018;1783:209-241. doi: 10.1007/978-1-4939-7834-2_11. Methods Mol Biol. 2018. PMID: 29767365 Review. - The use of high-throughput sequencing methods for plant microRNA research.
Ma X, Tang Z, Qin J, Meng Y. Ma X, et al. RNA Biol. 2015;12(7):709-19. doi: 10.1080/15476286.2015.1053686. RNA Biol. 2015. PMID: 26016494 Free PMC article. Review.
Cited by
- How data analysis affects power, reproducibility and biological insight of RNA-seq studies in complex datasets.
Peixoto L, Risso D, Poplawski SG, Wimmer ME, Speed TP, Wood MA, Abel T. Peixoto L, et al. Nucleic Acids Res. 2015 Sep 18;43(16):7664-74. doi: 10.1093/nar/gkv736. Epub 2015 Jul 21. Nucleic Acids Res. 2015. PMID: 26202970 Free PMC article. - Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation.
Love MI, Hogenesch JB, Irizarry RA. Love MI, et al. Nat Biotechnol. 2016 Dec;34(12):1287-1291. doi: 10.1038/nbt.3682. Epub 2016 Sep 26. Nat Biotechnol. 2016. PMID: 27669167 Free PMC article. - Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype.
Kim D, Paggi JM, Park C, Bennett C, Salzberg SL. Kim D, et al. Nat Biotechnol. 2019 Aug;37(8):907-915. doi: 10.1038/s41587-019-0201-4. Epub 2019 Aug 2. Nat Biotechnol. 2019. PMID: 31375807 Free PMC article. - The Spatial and Temporal Transcriptomic Landscapes of Ginseng, Panax ginseng C. A. Meyer.
Wang K, Jiang S, Sun C, Lin Y, Yin R, Wang Y, Zhang M. Wang K, et al. Sci Rep. 2015 Dec 11;5:18283. doi: 10.1038/srep18283. Sci Rep. 2015. PMID: 26655864 Free PMC article. - Integrative analysis of RNA, translation, and protein levels reveals distinct regulatory variation across humans.
Cenik C, Cenik ES, Byeon GW, Grubert F, Candille SI, Spacek D, Alsallakh B, Tilgner H, Araya CL, Tang H, Ricci E, Snyder MP. Cenik C, et al. Genome Res. 2015 Nov;25(11):1610-21. doi: 10.1101/gr.193342.115. Epub 2015 Aug 21. Genome Res. 2015. PMID: 26297486 Free PMC article.
References
- Nature. 2010 Apr 1;464(7289):768-72 - PubMed
- Bioinformatics. 2012 Aug 15;28(16):2184-5 - PubMed
- BMC Bioinformatics. 2011 Dec 17;12:480 - PubMed
- PLoS Comput Biol. 2010 May 06;6(5):e1000770 - PubMed
- Nat Methods. 2008 Jul;5(7):613-9 - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous