Automated Prep Delivers Results: Sequence Ready, Strand Specific RNA Libraries from Low Input Samples

zach smith

fiona stewartMarch 26, 2014

11:00am EST / 10:00am CST / 8:00am PST

Please join Beckman Coulter and New England BioLabs for this live one-hour webinar with Q&A.

Presented by: Fiona Stewart, Next Generation Sequencing Product Marketing Manager at New England Biolabs, and Zach Smith, Senior Applications Scientist at Beckman Coulter, Inc.

What You Will Learn:

  • How to overcome challenges of creating stranded RNA libraries from low input samples, with high yield and high library complexity
  • How automation provides time and cost savings by increasing efficiency and throughput
  • How to use automation to generate highly reproducible technical replicate RNASeq libraries for improved transcriptome analysis


RNA sequencing (RNASeq) using next generation sequencing technologies represents a powerful tool for understanding the complexities of the transmission of genetic information from the genome to the proteome through the transcriptome. Strand specific RNASeq, a recent refinement of traditional RNASeq, maintains originating strand information through a dUTP marking strategy during the course of library construction. Maintaining originating strand information allows for easier mapping of reads to the reference genome, allows for more accurate mapping of intron/exon boundaries, and provides for the identification of anti-sense transcripts. In order to give researchers the flexibility to perform strand specific RNASeq from rare or difficult to obtain samples, as well as to fully leverage the increasing capacity of today’s next generation sequencing platforms, we have developed an automated method for the NEBNext Ultra Directional RNA Library Prep Kit for Illumina on the BioMekFXp. Utilizing as little as 25ng of total RNA , this method allows for the creation of up to 96 barcoded, highly complex,  strand specific RNASeq libraries compatible with all Illumina sequencing platforms in as little as nine hours of machine time. Increased library construction throughput combined with the parsimonious use of potentially limited starting material allows researchers to improve the quality of transcriptome analysis through the use of high quality technical replicate strand specific RNASeq libraries.

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