Scalable Transcriptome Preparation for Massive Parallel Sequencing
2011

Automated Transcriptome Preparation for Sequencing

Sample size: 12 publication Evidence: high

Author Information

Author(s): Henrik Stranneheim, Beata Werne, Ellen Sherwood, Joakim Lundeberg

Primary Institution: Royal Institute of Technology (KTH), Solna, Sweden

Hypothesis

Can an automated method for RNA library preparation improve throughput and consistency compared to manual methods?

Conclusion

The automated procedure significantly improves throughput and maintains consistent gene expression profiles compared to manual preparation.

Supporting Evidence

  • The automated protocol allows for the preparation of 12 samples in a single run.
  • Automated preparation showed a 14 times higher throughput than manual methods.
  • Both methods produced comparable gene expression profiles.

Takeaway

This study shows that using a robot to prepare RNA samples for sequencing is much faster and just as good as doing it by hand.

Methodology

An automated protocol for RNA library preparation was developed and compared to standard manual methods in terms of throughput and gene expression profiling.

Limitations

The study only evaluated one type of sequencing platform and one cell line.

Participant Demographics

U-251MG glioblastoma cell line was used for the experiments.

Digital Object Identifier (DOI)

10.1371/journal.pone.0021910

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