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Whole-Transcriptome Profiling on Small FFPE Samples: Which Sequencing Kit Should Be Used?
Hilmi, Marc; Armenoult, Lucile; Ayadi, Mira; Nicolle, Rémy.
Afiliação
  • Hilmi M; Molecular Oncology, PSL Research University, CNRS, UMR 144, Institut Curie, 75005 Paris, France.
  • Armenoult L; Programme Cartes D'Identité des Tumeurs (CIT), Ligue Nationale Contre le Cancer, 75013 Paris, France.
  • Ayadi M; Programme Cartes D'Identité des Tumeurs (CIT), Ligue Nationale Contre le Cancer, 75013 Paris, France.
  • Nicolle R; Centre de Recherche sur l'Inflammation (CRI), Université de Paris Cité, INSERM, U1149, CNRS, ERL 8252, 75018 Paris, France.
Curr Issues Mol Biol ; 44(5): 2186-2193, 2022 May 13.
Article em En | MEDLINE | ID: mdl-35678677
ABSTRACT
RNA sequencing (RNA-Seq) appears as a great tool with huge clinical potential, particularly in oncology. However, sufficient sample size is often a limiting factor and the vast majority of samples from patients with cancer are formalin-fixed paraffin-embedded (FFPE). To date, several sequencing kits are proposed for FFPE samples yet no comparison on low quantities were performed. To select the most reliable, cost-effective, and relevant RNA-Seq approach, we applied five FFPE-compatible kits (based on 3' capture, exome-capture and ribodepletion approaches) using 8 ng to 400 ng of FFPE-derived RNA and compared them to Nanostring on FFPE samples and to a reference PolyA (Truseq) approach on flash-frozen samples of the same tumors. We compared gene expression correlations and reproducibility. The Smarter Pico V3 ribodepletion approach appeared systematically the most comparable to Nanostring and Truseq (p < 0.001) and was a highly reproducible technique. In comparison with exome-capture and 3' kits, the Smarter appeared more comparable to Truseq (p < 0.001). Overall, our results suggest that the Smarter is the most robust RNA-Seq technique to study small FFPE samples and 3' Lexogen presents an interesting quality−price ratio for samples with less limiting quantities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Issues Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Issues Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: França