Gene Expression Profiling of FFPE Samples: A Titration Test

Author:

Manjunath Harshitha Shobha1ORCID,Al Khulaifi Moza2,Sidahmed Heba2,Ammar Adham3,Vadakekolathu Jayakumar4,Rutella Sergio4,Al-Mohannadi Muneera Jassim5,Elawad Mamoun6,Mifsud William7,Charles Adrian7,Maccalli Cristina2ORCID,Tomei Sara1

Affiliation:

1. Omics Core, Integrated Genomics Services, Research Department, Sidra Medicine, Doha, Qatar

2. Laboratory of Immune and Biological Therapy, Research Department, Sidra Medicine, Doha, Qatar

3. Department of Pathology, Hamad Medical Corporation, Doha, Qatar

4. John van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK

5. Department of Gastroenterology and Hepatology, Hamad Medical Corporation, Doha, Qatar

6. Department of Gastroenterology, Sidra Medicine, Doha, Qatar

7. Department of Anatomical Pathology, Sidra Medicine, Doha, Qatar

Abstract

The gene expression analysis of formalin-fixed paraffin-embedded (FFPE) tissues is often hampered by poor RNA quality, which results from the oxidation, cross-linking and other chemical modifications induced by the inclusion in paraffin. Yet, FFPE samples are a valuable source for molecular studies and can provide great insights into disease progression and prognosis. With the advancement of genomic technologies, new methods have been established that offer reliable and accurate gene expression workflows on samples of poor quality. NanoString is a probe-based technology that allows the direct counting of the mRNA transcripts and can be applied to degraded samples. Here, we have tested 2 RNA extraction methods for FFPE samples, and we have performed a titration experiment to evaluate the impact of RNA degradation and RNA input on the gene expression profiles assessed using the NanoString IO360 panel. We have selected FFPE samples of different DV200 values and assessed them on the nCounter platform with 2 different amounts of input RNA. This study concludes that the nCounter is a robust and reliable platform to assess the gene expression of RNA samples with DV200 > 30%; its robustness and ease of use could be of particular benefit to clinical settings.

Publisher

SAGE Publications

Subject

Cancer Research,Oncology

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