Literature DB >> 27161306

From RNA isolation to microarray analysis: Comparison of methods in FFPE tissues.

Nevin Belder1, Öznur Coskun2, Beyza Doganay Erdogan3, Ozlem Ilk4, Berna Savas2, Arzu Ensari2, Hilal Özdağ5.   

Abstract

BACKGROUND: Genome-wide gene expression profiling analysis of FFPE tissue samples is indispensable for cancer research and provides the opportunity to evaluate links between molecular and clinical information, however, working with FFPE samples is challenging due to extensive cross-linking, fragmentation and limited quantities of nucleic acid. Thus, processing of FFPE tissue samples from RNA extraction to microarray analysis still needs optimization.
MATERIALS AND METHODS: In this study, a modified deparaffinization protocol was conducted prior to RNA isolation. Trizol, Qiagen RNeasy FFPE and Arcturus PicoPure RNA Isolation kits were used in parallel to compare their impact on RNA isolation. We also evaluated the effect of two different cRNA/cDNA preparation and labeling protocols with two different array platforms (Affymetrix Human Genome U133 Plus 2.0 and U133_X3P) on the percentage of present calls.
RESULTS: Our optimization study shows that the Qiagen RNeasy FFPE kit with modified deparaffinization step gives better results (RNA quantity and quality) than the other two isolation kits. The Ribo-SPIA protocol gave a significantly higher percentage of present calls than the 3' IVT cDNA amplification and labeling system. However, no significant differences were found between the two array platforms.
CONCLUSION: Our study paves the way for future high-throughput transcriptional analysis by optimizing FFPE tissue sample processing from RNA isolation to microarray analysis.
Copyright © 2016 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  FFPE tissues; Gene expression; Microarray; RNA isolation

Mesh:

Substances:

Year:  2016        PMID: 27161306     DOI: 10.1016/j.prp.2015.11.008

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  11 in total

1.  Differential expression and prognostic value of long non-coding RNA in HPV-negative head and neck squamous cell carcinoma.

Authors:  Sulsal-Ul Haque; Liang Niu; Damaris Kuhnell; Jacob Hendershot; Jacek Biesiada; Wen Niu; Matthew C Hagan; Karl T Kelsey; Keith A Casper; Trisha M Wise-Draper; Mario Medvedovic; Scott M Langevin
Journal:  Head Neck       Date:  2018-03-25       Impact factor: 3.147

2.  Do Tissues Fixed in a Non-crosslinking Fixative Require a Dedicated Formalin-free Processor?

Authors:  Sonia G Frasquilho; Ignacio Sanchez; Changyoung Yoo; Laurent Antunes; Camille Bellora; William Mathieson
Journal:  J Histochem Cytochem       Date:  2021-05-19       Impact factor: 4.137

3.  Robust transcriptional tumor signatures applicable to both formalin-fixed paraffin-embedded and fresh-frozen samples.

Authors:  Rou Chen; Qingzhou Guan; Jun Cheng; Jun He; Huaping Liu; Hao Cai; Guini Hong; Jiahui Zhang; Na Li; Lu Ao; Zheng Guo
Journal:  Oncotarget       Date:  2017-01-24

Review 4.  Gene Expression Detection Assay for Cancer Clinical Use.

Authors:  Shavira Narrandes; Wayne Xu
Journal:  J Cancer       Date:  2018-06-05       Impact factor: 4.207

5.  Improving the standardization of mRNA measurement by RT-qPCR.

Authors:  Rebecca Sanders; Stephen Bustin; Jim Huggett; Deborah Mason
Journal:  Biomol Detect Quantif       Date:  2018-03-16

6.  New genetic prognostic biomarkers in primary central nervous system lymphoma (PCNSL).

Authors:  Diego Gomes Candido Reis; Débora Levy; Luís Alberto de Pádua Covas Lage; Hebert Fabrício Culler; Vanderson Rocha; Sérgio Paulo Bydlowski; Maria Cláudia Nogueira Zerbini; Juliana Pereira
Journal:  Brain Behav       Date:  2021-02-16       Impact factor: 2.708

7.  Protocol for qRT-PCR analysis from formalin fixed paraffin embedded tissue sections from diffuse large b-cell lymphoma: Validation of the six-gene predictor score.

Authors:  Nilgun Tekin; Nader Omidvar; Tim Peter Morris; Paulette Conget; Flavia Bruna; Botond Timar; Eva Gagyi; Ranjan Basak; Omkar Naik; Chirayu Auewarakul; Narongrit Sritana; Debora Levy; Juliano Julio Cerci; Sergio Paulo Bydlowski; Juliana Pereira; Mark Pierre Dimamay; Filipinas Natividad; June-Key Chung; Nevin Belder; Isinsu Kuzu; Diana Paez; Maurizio Dondi; Robert Carr; Hilal Ozdag; Rose Ann Padua
Journal:  Oncotarget       Date:  2016-12-13

8.  Transcriptomic immune profiling of ovarian cancers in paraneoplastic cerebellar degeneration associated with anti-Yo antibodies.

Authors:  Clément Vialatte de Pémille; Giulia Berzero; Mathilde Small; Dimitri Psimaras; Marine Giry; Maïlys Daniau; Marc Sanson; Jean-Yves Delattre; Jérôme Honnorat; Virginie Desestret; Agusti Alentorn
Journal:  Br J Cancer       Date:  2018-06-14       Impact factor: 7.640

9.  Proliferative, pro-inflammatory, and angiogenesis regulator gene expression profile defines prognosis in different histopathological subtypes of nodal peripheral T-cell lymphoma.

Authors:  Luís Alberto de Pádua Covas Lage; Débora Levy; Flávia Dias Xavier; Diego Cândido Reis; Renata de Oliveira Costa; Marianne Castro Gonçalves; Vanderson Rocha; Maria Cláudia Nogueira Zerbini; Juliana Pereira
Journal:  Oncotarget       Date:  2019-08-27

10.  Formalin-fixed paraffin-embedded renal biopsy tissues: an underexploited biospecimen resource for gene expression profiling in IgA nephropathy.

Authors:  Sharon Natasha Cox; Samantha Chiurlia; Chiara Divella; Michele Rossini; Grazia Serino; Mario Bonomini; Vittorio Sirolli; Francesca B Aiello; Gianluigi Zaza; Isabella Squarzoni; Concetta Gangemi; Maria Stangou; Aikaterini Papagianni; Mark Haas; Francesco Paolo Schena
Journal:  Sci Rep       Date:  2020-09-16       Impact factor: 4.379

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