Genome biologyGenomicsPeer-reviewed journal article
Prime-seq, efficient and powerful bulk RNA-sequencing
Aleksandar JanjiciD, Lucas Esteban WangeiD, Johannes BagnoliiD, Johanna GeuderiD, Phong NguyeniD, Daniel RichteriD, Beate ViethiD, Binje VickiD, Irmela JeremiasiD, Christoph ZiegenhainiD, Ines HellmanniD, Wolfgang EnardiD
Abstract
With the advent of Next Generation Sequencing, RNA-sequencing (RNA-seq) has become the major method for quantitative gene expression analysis. Reducing library costs by early barcoding has propelled single-cell RNA-seq, but has not yet caught on for bulk RNA-seq. Here, we optimized and validated a bulk RNA-seq method we call prime-seq. We show that with respect to library complexity, measurement accuracy, and statistical power it performs equivalent to TruSeq, a standard bulk RNA-seq method, but is four-fold more cost-efficient due to almost 50-fold cheaper library costs. We also validate a direct RNA isolation step that further improves cost and time-efficiency, show that intronic reads are derived from RNA, validate that prime-seq performs optimal with only 1,000 cells as input, and calculate that prime-seq is the most cost-efficient bulk RNA-seq method currently available. We discuss why many labs would profit from a cost-efficient early barcoding RNA-seq protocol and argue that prime-seq is well suited for setting up such a protocol as it is well validated, well documented, and requires no specialized equipment.
- Citations
- 101
- FWCI
- 6.28
- Field percentile
- top 2%
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