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Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics
We report the development of a new technology for simultaneous quantitative detection of multiple targets in a single sample. Scalable transcriptional analysis routine (STAR) represents a novel integration of reverse transcriptase-polymerase chain reaction and capillary electrophoresis that allows d...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
American Society for Investigative Pathology
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1888488/ https://www.ncbi.nlm.nih.gov/pubmed/16237214 |
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author | Garcia, Elizabeth P. Dowding, Lori A. Stanton, Lawrence W. Slepnev, Vladimir I. |
author_facet | Garcia, Elizabeth P. Dowding, Lori A. Stanton, Lawrence W. Slepnev, Vladimir I. |
author_sort | Garcia, Elizabeth P. |
collection | PubMed |
description | We report the development of a new technology for simultaneous quantitative detection of multiple targets in a single sample. Scalable transcriptional analysis routine (STAR) represents a novel integration of reverse transcriptase-polymerase chain reaction and capillary electrophoresis that allows detection of dozens of gene transcripts in a multiplexed format using amplicon size as an identifier for each target. STAR demonstrated similar or better sensitivity and precision compared to two commonly used methods, SYBR Green-based and TaqMan probe-based real-time reverse transcriptase-polymerase chain reaction. STAR can be used as a flexible platform for building a variety of applications to monitor gene expression, from single gene assays to assays analyzing the expression level of multiple genes. Using severe acute respiratory syndrome (SARS) corona virus as a model system, STAR technology detected single copies of the viral genome in a two-gene multiplex. Blinded studies using RNA extracted from various tissues of a SARS-infected individual showed that STAR correctly identified all samples containing SARS virus and yielded negative results for non-SARS control samples. Using alternate priming strategies, STAR technology can be adapted to transcriptional profiling studies without requiring a priori sequence information. Thus, STAR technology offers a flexible platform for development of highly multiplexed assays in gene expression analysis and molecular diagnostics. |
format | Text |
id | pubmed-1888488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | American Society for Investigative Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-18884882007-07-05 Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics Garcia, Elizabeth P. Dowding, Lori A. Stanton, Lawrence W. Slepnev, Vladimir I. J Mol Diagn Regular Articles We report the development of a new technology for simultaneous quantitative detection of multiple targets in a single sample. Scalable transcriptional analysis routine (STAR) represents a novel integration of reverse transcriptase-polymerase chain reaction and capillary electrophoresis that allows detection of dozens of gene transcripts in a multiplexed format using amplicon size as an identifier for each target. STAR demonstrated similar or better sensitivity and precision compared to two commonly used methods, SYBR Green-based and TaqMan probe-based real-time reverse transcriptase-polymerase chain reaction. STAR can be used as a flexible platform for building a variety of applications to monitor gene expression, from single gene assays to assays analyzing the expression level of multiple genes. Using severe acute respiratory syndrome (SARS) corona virus as a model system, STAR technology detected single copies of the viral genome in a two-gene multiplex. Blinded studies using RNA extracted from various tissues of a SARS-infected individual showed that STAR correctly identified all samples containing SARS virus and yielded negative results for non-SARS control samples. Using alternate priming strategies, STAR technology can be adapted to transcriptional profiling studies without requiring a priori sequence information. Thus, STAR technology offers a flexible platform for development of highly multiplexed assays in gene expression analysis and molecular diagnostics. American Society for Investigative Pathology 2005-10 /pmc/articles/PMC1888488/ /pubmed/16237214 Text en Copyright © American Society for Investigative Pathology and the Association for Molecular Pathology |
spellingShingle | Regular Articles Garcia, Elizabeth P. Dowding, Lori A. Stanton, Lawrence W. Slepnev, Vladimir I. Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics |
title | Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics |
title_full | Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics |
title_fullStr | Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics |
title_full_unstemmed | Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics |
title_short | Scalable Transcriptional Analysis Routine—Multiplexed Quantitative Real-Time Polymerase Chain Reaction Platform for Gene Expression Analysis and Molecular Diagnostics |
title_sort | scalable transcriptional analysis routine—multiplexed quantitative real-time polymerase chain reaction platform for gene expression analysis and molecular diagnostics |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1888488/ https://www.ncbi.nlm.nih.gov/pubmed/16237214 |
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