Prime-seq, efficient and powerful bulk RNA-sequencing

Author:

Janjic AleksandarORCID,Wange Lucas E.ORCID,Bagnoli Johannes W.ORCID,Geuder JohannaORCID,Nguyen PhongORCID,Richter DanielORCID,Vieth BeateORCID,Vick BinjeORCID,Jeremias IrmelaORCID,Ziegenhain ChristophORCID,Hellmann InesORCID,Enard WolfgangORCID

Abstract

AbstractWith 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.

Publisher

Cold Spring Harbor Laboratory

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