Literature DB >> 23656494

Digital quantitation of potential therapeutic target RNAs.

David W Dodd1, Keith T Gagnon, David R Corey.   

Abstract

Accurate determination of the amount of a given RNA within a cell is necessary to gain a full understanding of the RNA's function and regulation. Typically, the abundance of RNA is measured by quantitative polymerase chain reaction (qPCR). With qPCR, however, absolute quantification is not possible unless an adequate reference standard curve is generated. The method is not well suited for detecting low copy number templates and values vary depending on the specific primers used. To overcome these drawbacks, digital PCR (dPCR) has been developed to obtain exact values for RNA copies in a sample. Here we report the characterization of droplet digital PCR (ddPCR). We used ddPCR to quantify long noncoding RNAs from various subcellular compartments within human cells and found that results obtained using ddPCR parallel those from qPCR. Mutant huntingtin (HTT) protein is the cause of Huntington's Disease, and we show that we can quantify human HTT messenger RNA and discriminate between the mutant and wild-type HTT alleles using ddPCR. These results reveal insights into the design of experiments using ddPCR and show that ddPCR can be a robust tool for identifying the number of RNA species inside of cells.

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Year:  2013        PMID: 23656494      PMCID: PMC3660070          DOI: 10.1089/nat.2013.0427

Source DB:  PubMed          Journal:  Nucleic Acid Ther        ISSN: 2159-3337            Impact factor:   5.486


  22 in total

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10.  An integrated encyclopedia of DNA elements in the human genome.

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Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

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  30 in total

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Authors:  Jesse M Engreitz; Noah Ollikainen; Mitchell Guttman
Journal:  Nat Rev Mol Cell Biol       Date:  2016-10-26       Impact factor: 94.444

2.  Long Noncoding RNA Malat1 Regulates Cerebrovascular Pathologies in Ischemic Stroke.

Authors:  Xuejing Zhang; Xuelian Tang; Kai Liu; Milton H Hamblin; Ke-Jie Yin
Journal:  J Neurosci       Date:  2017-01-16       Impact factor: 6.167

3.  Association of AR-V7 and Prostate-Specific Antigen RNA Levels in Blood with Efficacy of Abiraterone Acetate and Enzalutamide Treatment in Men with Prostate Cancer.

Authors:  Fangfang Qu; Wanling Xie; Mari Nakabayashi; Haitao Zhang; Seong Ho Jeong; Xiaodong Wang; Kazumasa Komura; Christopher J Sweeney; Oliver Sartor; Gwo-Shu Mary Lee; Philip W Kantoff
Journal:  Clin Cancer Res       Date:  2016-08-03       Impact factor: 12.531

4.  Quantitation of Long Noncoding RNA Using Digital PCR.

Authors:  Yu Ota; Irene K Yan; Tushar Patel
Journal:  Methods Mol Biol       Date:  2021

5.  c9orf72 Disease-Related Foci Are Each Composed of One Mutant Expanded Repeat RNA.

Authors:  Jing Liu; Jiaxin Hu; Andrew T Ludlow; Jacqueline T Pham; Jerry W Shay; Jeffrey D Rothstein; David R Corey
Journal:  Cell Chem Biol       Date:  2017-01-26       Impact factor: 8.116

6.  HER2 mRNA transcript quantitation in breast cancer.

Authors:  K Meehan; B Clynick; B Mirzai; P Maslen; J M Harvey; W N Erber
Journal:  Clin Transl Oncol       Date:  2016-11-11       Impact factor: 3.405

7.  Digital PCR quantification of miRNAs in sputum for diagnosis of lung cancer.

Authors:  Ning Li; Jie Ma; Maria A Guarnera; HongBin Fang; Ling Cai; Feng Jiang
Journal:  J Cancer Res Clin Oncol       Date:  2013-11-27       Impact factor: 4.553

Review 8.  Non-coding RNAs as drug targets.

Authors:  Masayuki Matsui; David R Corey
Journal:  Nat Rev Drug Discov       Date:  2016-07-22       Impact factor: 84.694

9.  The Requirement for GW182 Scaffolding Protein Depends on Whether Argonaute Is Mediating Translation, Transcription, or Splicing.

Authors:  Jing Liu; Zhongtian Liu; David R Corey
Journal:  Biochemistry       Date:  2018-08-21       Impact factor: 3.162

10.  MicroRNA 195-5p Targets Foxo3 Promoter Region to Regulate Its Expression in Granulosa Cells.

Authors:  Yinshan Bai; Bo Pan; Xiaoshu Zhan; Hailey Silver; Julang Li
Journal:  Int J Mol Sci       Date:  2021-06-23       Impact factor: 5.923

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