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Related Experiment Video

Updated: Jun 3, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Global array-based transcriptomics from minimal input RNA utilising an optimal RNA isolation process combined with

Laura Kennedy¹, Mahesh Pauriah, Valerie Godfrey

¹Translational Medicine Research Collaboration, TMRC Laboratory, Ninewells Hospital, Dundee, United Kingdom.

|March 30, 2011

Summary

New RNA isolation and amplification methods enable global transcriptomic analysis from minimal cell samples. This breakthrough allows for detailed study of rare cell populations, like vascular endothelial cells, previously inaccessible for transcriptomics.

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Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

Advanced cell isolation techniques yield homogenous cell populations but often result in insufficient nucleic acid yields.
Existing transcriptomic technologies require nanograms of RNA, which is unattainable from many clinical samples yielding picograms.

Purpose of the Study:

To develop an optimized RNA isolation workflow for maximal RNA yield from minimal cell numbers.
To assess RNA amplification methods for global transcriptomic profiling using picogram levels of RNA input.

Main Methods:

Established an optimized RNA isolation workflow for low cell content samples.
Evaluated two linear isothermal probe generation methods at decreasing RNA input levels.
Applied workflow to vascular endothelial cell biopsies.

Main Results:

Achieved sufficient RNA yield for global transcriptomic profiling from vascular endothelial cell biopsies.
Demonstrated robust detection of low-abundance transcripts (GPCRs) at picogram RNA input levels (down to 50 pg).
Successfully interrogated the transcriptome from as little as 10 pg of input RNA.

Conclusions:

The developed RNA isolation and amplification workflow enables global transcriptomics on clinically relevant samples with extremely low cell and RNA yields.
This methodology opens new avenues for studying rare cell populations and advancing transcriptomic research in clinical settings.