Unlocking the transcriptomic potential of formalin-fixed paraffin embedded clinical tissues: Comparison of gene expression profiling approaches

Arran K Turnbull, Cigdem Selli Karakaya, Carlos Martinez-Perez, Anu Fernando, Lorna Renshaw, Jane Keys, Jonine Figueroa, Xiaping He, Maki Tanioka, Alison Munro, Lee Murphy, Angie Fawkes, Richard Clark, Audrey Coutts, Charles M. Perou, Lisa A. Carey, Michael Dixon, Andrew Sims

Research output: Contribution to journalArticlepeer-review

Abstract

High-throughput transcriptomics has matured into a very well established and widely utilised research tool over the last two decades. Clinical datasets generated on a range of different platforms continue to be deposited in public repositories provide an ever-growing, valuable resource for reanalysis. Cost and tissue availability normally preclude processing samples across multiple technologies, making it challenging to directly evaluate performance and whether data from different platforms can be reliably compared or integrated.
Original languageEnglish
JournalBMC Bioinformatics
Early online date28 Jan 2020
DOIs
Publication statusE-pub ahead of print - 28 Jan 2020

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