henhaobio
Sign in

PLoS ONECancer BiologyPeer-reviewed journal article

Reliable RNA-seq analysis from FFPE specimens as a means to accelerate cancer-related health disparities research

Mitchell J. FrederickiD, Dannelys Pérez‐Bello, Pedram YadollahiiD, Patricia D. CastroiD, A. Frederick, A. Frederick, Rashid Abdullah OsmaniD, F. Essien, Imelda Yebra, A. Hamlin, Thomas Julian OwiD, Heath Devin SkinneriD, Vlad Constantin SandulacheiD

PDFDOIPreprint

Abstract

Whole transcriptome sequencing (WTS/ RNA-Seq) is a ubiquitous tool for investigating cancer biology. RNA isolated from frozen sources limits possible studies for analysis of associations with phenotypes or clinical variables requiring long-term follow-up. Although good correlations are reported in RNA-Seq data from paired frozen and formalin fixed paraffin embedded (FFPE) samples, uncertainties regarding RNA quality, methods of extraction, and data reliability are hurdles to utilization of archival samples. We compared three different platforms for performing RNA-seq using archival FFPE oropharyngeal squamous carcinoma (OPSCC) specimens stored up to 20 years, as part of an investigation of transcriptional profiles related to health disparities. We developed guidelines to purify DNA and RNA from FFPE tissue and perform downstream RNA-seq and DNA SNP arrays. RNA was extracted from 150 specimens, with an average yield of 401.8 ng/cm2 of tissue. Most samples yielded sufficient RNA reads >13,000 protein coding genes which could be used to differentiate HPV-associated from HPV-independent OPSCCs. Co-isolated DNA was used to identify patient ancestry. Utilizing the methods described in this study provides a robust, reliable, and standardized means of DNA & RNA extraction from FFPE as well as a means by which to assure the quality of the data generated.

Citations
3
FWCI
0.90
Field percentile
top 32%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.