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      Reliability and performance of commercial RNA and DNA extraction kits for FFPE tissue cores

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          Abstract

          Cancer biomarker studies often require nucleic acid extraction from limited amounts of formalin-fixed, paraffin-embedded (FFPE) tissues, such as histologic sections or needle cores. A major challenge is low quantity and quality of extracted nucleic acids, which can limit our ability to perform genetic analyses, and have a significant influence on overall study design. This study was aimed at identifying the most reliable and reproducible method of obtaining sufficient high-quality nucleic acids from FFPE tissues. We compared the yield and quality of nucleic acids from 0.6-mm FFPE prostate tissue cores across 16 DNA and RNA extraction protocols, using 14 commercially available kits. Nucleic acid yield was determined by fluorometry, and quality was determined by spectrophotometry. All protocols yielded nucleic acids in quantities that are compatible with downstream molecular applications. However, the protocols varied widely in the quality of the extracted RNA and DNA. Four RNA and five DNA extraction protocols, including protocols from two kits for dual-extraction of RNA and DNA from the same tissue source, were prioritized for further quality assessment based on the yield and purity of their products. Specifically, their compatibility with downstream reactions was assessed using both NanoString nCounter gene expression assays and reverse-transcriptase real-time PCR for RNA, and methylation-specific PCR assays for DNA. The kit deemed most suitable for FFPE tissue was the AllPrep kit by Qiagen because of its yield, quality, and ability to purify both RNA and DNA from the same sample, which would be advantageous in biomarker studies.

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          Most cited references22

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Direct multiplexed measurement of gene expression with color-coded probe pairs.

            We describe a technology, the NanoString nCounter gene expression system, which captures and counts individual mRNA transcripts. Advantages over existing platforms include direct measurement of mRNA expression levels without enzymatic reactions or bias, sensitivity coupled with high multiplex capability, and digital readout. Experiments performed on 509 human genes yielded a replicate correlation coefficient of 0.999, a detection limit between 0.1 fM and 0.5 fM, and a linear dynamic range of over 500-fold. Comparison of the NanoString nCounter gene expression system with microarrays and TaqMan PCR demonstrated that the nCounter system is more sensitive than microarrays and similar in sensitivity to real-time PCR. Finally, a comparison of transcript levels for 21 genes across seven samples measured by the nCounter system and SYBR Green real-time PCR demonstrated similar patterns of gene expression at all transcript levels.
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              mRNA transcript quantification in archival samples using multiplexed, color-coded probes

              Background A recently developed probe-based technology, the NanoString nCounter™ gene expression system, has been shown to allow accurate mRNA transcript quantification using low amounts of total RNA. We assessed the ability of this technology for mRNA expression quantification in archived formalin-fixed, paraffin-embedded (FFPE) oral carcinoma samples. Results We measured the mRNA transcript abundance of 20 genes (COL3A1, COL4A1, COL5A1, COL5A2, CTHRC1, CXCL1, CXCL13, MMP1, P4HA2, PDPN, PLOD2, POSTN, SDHA, SERPINE1, SERPINE2, SERPINH1, THBS2, TNC, GAPDH, RPS18) in 38 samples (19 paired fresh-frozen and FFPE oral carcinoma tissues, archived from 1997-2008) by both NanoString and SYBR Green I fluorescent dye-based quantitative real-time PCR (RQ-PCR). We compared gene expression data obtained by NanoString vs. RQ-PCR in both fresh-frozen and FFPE samples. Fresh-frozen samples showed a good overall Pearson correlation of 0.78, and FFPE samples showed a lower overall correlation coefficient of 0.59, which is likely due to sample quality. We found a higher correlation coefficient between fresh-frozen and FFPE samples analyzed by NanoString (r = 0.90) compared to fresh-frozen and FFPE samples analyzed by RQ-PCR (r = 0.50). In addition, NanoString data showed a higher mean correlation (r = 0.94) between individual fresh-frozen and FFPE sample pairs compared to RQ-PCR (r = 0.53). Conclusions Based on our results, we conclude that both technologies are useful for gene expression quantification in fresh-frozen or FFPE tissues; however, the probe-based NanoString method achieved superior gene expression quantification results when compared to RQ-PCR in archived FFPE samples. We believe that this newly developed technique is optimal for large-scale validation studies using total RNA isolated from archived, FFPE samples.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 June 2017
                2017
                : 12
                : 6
                : e0179732
                Affiliations
                [1 ]Department of Pathology & Molecular Medicine, Queen’s University, Kingston, Ontario, Canada
                [2 ]Division of Cancer Biology & Genetics, Queen’s Cancer Research Institute, Queen’s University, Kingston, Ontario, Canada
                [3 ]Department of Surgery, Division of Urology, McGill University and the Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
                [4 ]Diagnostic Development Program, Ontario Institute for Cancer Research (OICR), Toronto, Ontario, Canada
                Universita degli Studi di Torino, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤]

                Current address: Trillium Health Partners–Credit Valley Site, Mississauga, Ontario, Canada

                Author information
                http://orcid.org/0000-0002-5889-1905
                Article
                PONE-D-16-42391
                10.1371/journal.pone.0179732
                5480995
                28640876
                6ac33dad-74b3-4c5f-8447-8e0858ec1efd
                © 2017 Patel et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 October 2016
                : 2 June 2017
                Page count
                Figures: 3, Tables: 2, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000109, Prostate Cancer Canada;
                Award ID: T2014.01
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000109, Prostate Cancer Canada;
                Award ID: T2014.01
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000109, Prostate Cancer Canada;
                Award ID: T2014.01
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000109, Prostate Cancer Canada;
                Award ID: T2014.01
                Award Recipient :
                Funding for this work was provided by the Movember Foundation – Grant #T2014.01 through Prostate Cancer Canada to JMSB, JL, DMB, PCP and others: http://www.prostatecancer.ca. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Research and analysis methods
                Extraction techniques
                RNA extraction
                Research and analysis methods
                Extraction techniques
                DNA extraction
                Biology and Life Sciences
                Biochemistry
                Nucleic Acids
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Biology and life sciences
                Cell biology
                Chromosome biology
                Chromatin
                Chromatin modification
                DNA methylation
                Biology and life sciences
                Genetics
                Epigenetics
                Chromatin
                Chromatin modification
                DNA methylation
                Biology and life sciences
                Genetics
                Gene expression
                Chromatin
                Chromatin modification
                DNA methylation
                Biology and life sciences
                Genetics
                DNA
                DNA modification
                DNA methylation
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                DNA modification
                DNA methylation
                Biology and life sciences
                Genetics
                Epigenetics
                DNA modification
                DNA methylation
                Biology and life sciences
                Genetics
                Gene expression
                DNA modification
                DNA methylation
                Biology and Life Sciences
                Biochemistry
                Biomarkers
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Genitourinary Tract Tumors
                Prostate Cancer
                Medicine and Health Sciences
                Urology
                Prostate Diseases
                Prostate Cancer
                Biology and Life Sciences
                Genetics
                DNA
                Biology and Life Sciences
                Biochemistry
                Nucleic Acids
                DNA
                Custom metadata
                All data generated and analysed during this study are included in the paper and its supplementary information files.

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