Literature DB >> 31093665

Enhanced Quality Metrics for Assessing RNA Derived From Archival Formalin-Fixed Paraffin-Embedded Tissue Samples.

Leah C Wehmas1, Charles E Wood1,2, Brian N Chorley1, Carole L Yauk3, Gail M Nelson1, Susan D Hester1.   

Abstract

Formalin-fixed paraffin-embedded (FFPE) tissues provide an important resource for toxicogenomic research. However, variability in the integrity or quality of RNA obtained from archival FFPE specimens can lead to unreliable data and wasted resources, and standard protocols for measuring RNA integrity do not adequately assess the suitability of FFPE RNA. The main goal of this study was to identify improved methods for evaluating FFPE RNA quality for whole-genome sequencing. We examined RNA quality metrics conducted prior to RNA-sequencing in paired frozen and FFPE samples with varying levels of quality based on age in block and time in formalin. RNA quality was measured by the RNA integrity number (RIN), a modified RIN called the paraffin-embedded RNA metric, the percentage of RNA fragments >100-300 nucleotides in size (DV100-300), and 2 quantitative PCR-based methods. This information was correlated to sequencing read quality, mapping, and gene detection. Among fragmentation-based methods, DV and PCR-based metrics were more informative than RIN or paraffin-embedded RNA metric in determining sequencing success. Across low- and high-quality FFPE samples, a minimum of 80% of RNA fragments >100 nucleotides (DV100 > 80) provided the best indication of gene diversity and read counts upon sequencing. The PCR-based methods further showed quantitative reductions in amplifiable RNA of target genes related to sample age and time in formalin that inform input quantity of FFPE RNA for sequencing. These results should aid in screening and prioritizing archival FFPE samples for retrospective analyses of gene expression. Published by Oxford University Press on behalf of the Society of Toxicology 2019.

Entities:  

Keywords:  DV; FFPE; PCR; RNA integrity; RNA-sequencing; biorepositories; transcriptomics

Mesh:

Substances:

Year:  2019        PMID: 31093665      PMCID: PMC7029400          DOI: 10.1093/toxsci/kfz113

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  16 in total

Review 1.  Accuracy of Molecular Data Generated with FFPE Biospecimens: Lessons from the Literature.

Authors:  Sarah R Greytak; Kelly B Engel; B Paige Bass; Helen M Moore
Journal:  Cancer Res       Date:  2015-04-02       Impact factor: 12.701

2.  The effect of formaldehyde fixation on RNA: optimization of formaldehyde adduct removal.

Authors:  David L Evers; Carol B Fowler; Brady R Cunningham; Jeffrey T Mason; Timothy J O'Leary
Journal:  J Mol Diagn       Date:  2011-05       Impact factor: 5.568

Review 3.  Formaldehyde fixation.

Authors:  C H Fox; F B Johnson; J Whiting; P P Roller
Journal:  J Histochem Cytochem       Date:  1985-08       Impact factor: 2.479

4.  Analysis of chemical modification of RNA from formalin-fixed samples and optimization of molecular biology applications for such samples.

Authors:  N Masuda; T Ohnishi; S Kawamoto; M Monden; K Okubo
Journal:  Nucleic Acids Res       Date:  1999-11-15       Impact factor: 16.971

5.  Demodifying RNA for Transcriptomic Analyses of Archival Formalin-Fixed Paraffin-Embedded Samples.

Authors:  Leah C Wehmas; Charles E Wood; Remi Gagne; Andrew Williams; Carole Yauk; Mark M Gosink; Deidre Dalmas; Ruixin Hao; Raegan O'Lone; Susan Hester
Journal:  Toxicol Sci       Date:  2018-04-01       Impact factor: 4.849

Review 6.  Formaldehyde crosslinking: a tool for the study of chromatin complexes.

Authors:  Elizabeth A Hoffman; Brian L Frey; Lloyd M Smith; David T Auble
Journal:  J Biol Chem       Date:  2015-09-09       Impact factor: 5.157

7.  The paraffin-embedded RNA metric (PERM) for RNA isolated from formalin-fixed, paraffin-embedded tissue.

Authors:  Joon-Yong Chung; Hanbyoul Cho; Stephen M Hewitt
Journal:  Biotechniques       Date:  2016-05-01       Impact factor: 1.993

Review 8.  A review of preanalytical factors affecting molecular, protein, and morphological analysis of formalin-fixed, paraffin-embedded (FFPE) tissue: how well do you know your FFPE specimen?

Authors:  B Paige Bass; Kelly B Engel; Sarah R Greytak; Helen M Moore
Journal:  Arch Pathol Lab Med       Date:  2014-11       Impact factor: 5.534

9.  Towards standardization of RNA quality assessment using user-independent classifiers of microcapillary electrophoresis traces.

Authors:  Sandrine Imbeaud; Esther Graudens; Virginie Boulanger; Xavier Barlet; Patrick Zaborski; Eric Eveno; Odilo Mueller; Andreas Schroeder; Charles Auffray
Journal:  Nucleic Acids Res       Date:  2005-03-30       Impact factor: 16.971

10.  Digital-PCR for gene expression: impact from inherent tissue RNA degradation.

Authors:  Melanie J Millier; Lisa K Stamp; Paul A Hessian
Journal:  Sci Rep       Date:  2017-12-08       Impact factor: 4.379

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  4 in total

1.  Comprehensive Development and Implementation of Good Laboratory Practice for NGS Based Targeted Panel on Solid Tumor FFPE Tissues in Diagnostics.

Authors:  Anuradha Chougule; Vinita Jagtap; Ankita Nikam; Shrutikaa Kale; Kavya Nambiar; Priyanka Bagayatkar; Pratik Chandrani; Rajiv Kaushal; Vanita Noronha; Vijay Patil; Shripad Banavali; Kumar Prabhash
Journal:  Diagnostics (Basel)       Date:  2022-05-23

2.  A Novel HPLC-Based Method to Investigate on RNA after Fixation.

Authors:  Paolo Fattorini; Cristina Forzato; Domenico Tierno; Eleonora De Martino; Eros Azzalini; Vincenzo Canzonieri; Giorgio Stanta; Serena Bonin
Journal:  Int J Mol Sci       Date:  2020-10-13       Impact factor: 5.923

3.  Large scale, robust, and accurate whole transcriptome profiling from clinical formalin-fixed paraffin-embedded samples.

Authors:  Yulia Newton; Andrew J Sedgewick; Luis Cisneros; Justin Golovato; Mark Johnson; Christopher W Szeto; Shahrooz Rabizadeh; J Zachary Sanborn; Stephen Charles Benz; Charles Vaske
Journal:  Sci Rep       Date:  2020-10-19       Impact factor: 4.379

4.  Transcriptomic analysis to identify genes associated with selective hippocampal vulnerability in Alzheimer's disease.

Authors:  Angela M Crist; Kelly M Hinkle; Xue Wang; Christina M Moloney; Billie J Matchett; Sydney A Labuzan; Isabelle Frankenhauser; Nkem O Azu; Amanda M Liesinger; Elizabeth R Lesser; Daniel J Serie; Zachary S Quicksall; Tulsi A Patel; Troy P Carnwath; Michael DeTure; Xiaojia Tang; Ronald C Petersen; Ranjan Duara; Neill R Graff-Radford; Mariet Allen; Minerva M Carrasquillo; Hu Li; Owen A Ross; Nilüfer Ertekin-Taner; Dennis W Dickson; Yan W Asmann; Rickey E Carter; Melissa E Murray
Journal:  Nat Commun       Date:  2021-04-19       Impact factor: 17.694

  4 in total

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