Barcoding bias in high-throughput multiplex sequencing of miRNA
Open Access
- 12 July 2011
- journal article
- Published by Cold Spring Harbor Laboratory in Genome Research
- Vol. 21 (9) , 1506-1511
- https://doi.org/10.1101/gr.121715.111
Abstract
Second-generation sequencing is gradually becoming the method of choice for miRNA detection and expression profiling. Given the relatively small number of miRNAs and improvements in DNA sequencing technology, studying miRNA expression profiles of multiple samples in a single flow cell lane becomes feasible. Multiplexing strategies require marking each miRNA library with a DNA barcode. Here we report that barcodes introduced through adapter ligation confer significant bias on miRNA expression profiles. This bias is much higher than the expected Poisson noise and masks significant expression differences between miRNA libraries. This bias can be eliminated by adding barcodes during PCR amplification of libraries. The accuracy of miRNA expression measurement in multiplexed experiments becomes a function of sample number.Keywords
This publication has 18 references indexed in Scilit:
- Cardiac fibrosis in mice with hypertrophic cardiomyopathy is mediated by non-myocyte proliferation and requires Tgf-βJournal of Clinical Investigation, 2010
- Cross-mapping and the identification of editing sites in mature microRNAs in high-throughput sequencing librariesGenome Research, 2010
- Identification of Novel Epstein-Barr Virus MicroRNA Genes from Nasopharyngeal CarcinomasJournal of Virology, 2009
- Expression profiling of microRNAs by deep sequencingBriefings in Bioinformatics, 2009
- The miR-17 ∼ 92 cluster collaborates with the Sonic Hedgehog pathway in medulloblastomaProceedings of the National Academy of Sciences, 2009
- A diverse set of microRNAs and microRNA-like small RNAs in developing rice grainsGenome Research, 2008
- Substantial biases in ultra-short read data sets from high-throughput DNA sequencingNucleic Acids Research, 2008
- Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cellsGenome Research, 2008
- miRBase: tools for microRNA genomicsNucleic Acids Research, 2007
- MicroRNA expression profiles classify human cancersNature, 2005