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Combined Analysis of Nucleic Acids and Protein for Cancer Research

机译:癌症研究核酸和蛋白质的综合分析

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This study was undertaken to determine the feasibility of isolation of RNA, DNA and Protein from a single formaldehyde fixed paraffin embedded (FFPE) section to detect lung cancer biomarkers. Correlation of RNA expression and DNA mutations by Next Generation Sequencing (NGS) and Protein expression by liquid chromatography mass spectrometry (LC-MS) from the same tissue section is expected to empower researchers with confirmatory, quantitative data. A proprietary Unified Method (UM) (Thermo Fisher Scientific, Kalamazoo, MI) for isolating RNA, DNA and Proteins from a single FFPE section was developed and used to analyze RNA expression, DNA mutations and Protein expression from a clinical sample. The RNA and DNA were analyzed using the Thermo Scientific Ion AmpliSeq NGS platform and the Proteins were analyzed on a Thermo Scientific LC-MS system. A Proprietry Integrated Bioinformatics Software (PIBS) (Thermo Fisher Scientific, Kalamazoo, MI) was developed to correlate RNA expression, DNA mutations and Protein Expression. The PIBS correlates RNA and Protein Quantification, DNA mutations and morphological information, and it is scalable to handle replicate datasets from Proteogenomics workflows. Researchers will be able to correlate data across profiles and identify differentially expressed markers. Proteogenomics data can be analyzed with histological subtype as well as the presence of drug targets for research use. Development of targeted LC-MS research methods is expected to increase the correspondence between FF and FFPE datasets as well as the detection of future biomarkers of interest.
机译:该研究是为了确定从固定的石蜡包埋(FFPE)部分,以检测肺癌生物标记的单个甲醛RNA,DNA的分离和蛋白质的可行性。 RNA表达和DNA突变由下一代测序(NGS)和蛋白质表达通过从相同的组织切片液相色谱质谱(LC-MS)的相关性,预计授权研究者确证,定量数据。专有的统一方法(UM)(赛默飞世尔科技,卡拉马祖,MI),用于从单一FFPE部分分离RNA,DNA和蛋白质被开发并用于分析从临床样品中的RNA表达,DNA突变和蛋白质表达。使用Thermo Scientific的离子AmpliSeq NGS平台的RNA和DNA进行分析,蛋白质分析在Thermo Scientific LC-MS系统上。一个Proprietry综合生物信息学软件(PIBS)(赛默飞世尔科技,卡拉马祖,MI)的开发关联RNA的表达,DNA突变和蛋白表达。所述PIBS相关RNA和蛋白定量,DNA突变和形态的信息,并且它是可扩展的,以从Proteogenomics工作流处理的复制的数据集。研究人员可以进行相关数据通过配置文件和鉴定差异表达的标记物。 Proteogenomics数据可以与组织学类型,以及药物靶标存在于研究用途进行分析。有针对性的LC-MS研究方法的发展预计将增加FF和FFPE数据集之间的对应关系,以及检测感兴趣未来的生物标志物。

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