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Systematic assessment of next-generation sequencing for quantitative small RNA profiling: a multiple protocol study across multiple laboratories

ABSTRACT: Small RNA-seq is increasingly being used for profiling of small RNAs. Quantitative characteristics of long RNA-seq have been extensively described, but small RNA-seq involves fundamentally different methods for library preparation, with distinct protocols and technical variations that have not been fully and systematically studied. We report here the results of a study using common references (synthetic RNA pools of defined composition, as well as plasma-derived RNA) to evaluate the accuracy, reproducibility and bias of small RNA-seq library preparation for five distinct protocols and across nine different laboratories. We observed protocol-specific and sequence-specific bias, which was ameliorated using adapters for ligation with randomized end-nucleotides, and computational correction factors. Despite this technical bias, relative quantification using small RNA-seq was remarkably accurate and reproducible, even across multiple laboratories using different methods. These results provide strong evidence for the feasibility of reproducible cross-laboratory small RNA-seq studies, even those involving analysis of data generated using different protocols. This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE94586 | GEO | 2018/07/09

REPOSITORIES: GEO

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Systematic assessment of next-generation sequencing for quantitative small RNA profiling: synthetic equimolar pool

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| EGAD00001006986 | EGA

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