Literature DB >> 22841564

Application of next generation qPCR and sequencing platforms to mRNA biomarker analysis.

Alison S Devonshire1, Rebecca Sanders, Timothy M Wilkes, Martin S Taylor, Carole A Foy, Jim F Huggett.   

Abstract

Recent years have seen the emergence of new high-throughput PCR and sequencing platforms with the potential to bring analysis of transcriptional biomarkers to a broader range of clinical applications and to provide increasing depth to our understanding of the transcriptome. We present an overview of how to process clinical samples for RNA biomarker analysis in terms of RNA extraction and mRNA enrichment, and guidelines for sample analysis by RT-qPCR and digital PCR using nanofluidic real-time PCR platforms. The options for quantitative gene expression profiling and whole transcriptome sequencing by next generation sequencing are reviewed alongside the bioinformatic considerations for these approaches. Considering the diverse technologies now available for transcriptome analysis, methods for standardising measurements between platforms will be paramount if their diagnostic impact is to be maximised. Therefore, the use of RNA standards and other reference materials is also discussed.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22841564     DOI: 10.1016/j.ymeth.2012.07.021

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  24 in total

1.  Technical Challenges in Mass Spectrometry-Based Metabolomics.

Authors:  Fumio Matsuda
Journal:  Mass Spectrom (Tokyo)       Date:  2016-11-25

2.  The potential impact of droplet microfluidics in biology.

Authors:  Thomas Schneider; Jason Kreutz; Daniel T Chiu
Journal:  Anal Chem       Date:  2013-03-15       Impact factor: 6.986

3.  Messenger RNA enrichment using synthetic oligo(T) click nucleic acids.

Authors:  Alex J Anderson; Heidi R Culver; Tania R Prieto; Payton J Martinez; Jasmine Sinha; Stephanie J Bryant; Christopher N Bowman
Journal:  Chem Commun (Camb)       Date:  2020-10-23       Impact factor: 6.222

4.  Expression profile based gene clusters for ischemic stroke detection.

Authors:  Mateusz G Adamski; Yan Li; Erin Wagner; Hua Yu; Chloe Seales-Bailey; Steven A Soper; Michael Murphy; Alison E Baird
Journal:  Genomics       Date:  2014-08-15       Impact factor: 5.736

Review 5.  Implications of biomarkers in human hepatocellular carcinoma pathogenesis and therapy.

Authors:  Li-Li Han; Yi Lv; Hui Guo; Zhi-Ping Ruan; Ke-Jun Nan
Journal:  World J Gastroenterol       Date:  2014-08-14       Impact factor: 5.742

6.  Quantitative analysis of food and feed samples with droplet digital PCR.

Authors:  Dany Morisset; Dejan Štebih; Mojca Milavec; Kristina Gruden; Jana Žel
Journal:  PLoS One       Date:  2013-05-02       Impact factor: 3.240

7.  Evaluation of digital PCR for absolute RNA quantification.

Authors:  Rebecca Sanders; Deborah J Mason; Carole A Foy; Jim F Huggett
Journal:  PLoS One       Date:  2013-09-20       Impact factor: 3.240

8.  qRT-PCR evaluation of the transcriptional response of zebra mussel to heavy metals.

Authors:  Joaquim Jaumot; Anna Navarro; Melissa Faria; Carlos Barata; Romà Tauler; Benjamín Piña
Journal:  BMC Genomics       Date:  2015-05-06       Impact factor: 3.969

9.  Phthalic acid chemical probes synthesized for protein-protein interaction analysis.

Authors:  Shih-Shin Liang; Wei-Ting Liao; Chao-Jen Kuo; Chi-Hsien Chou; Chin-Jen Wu; Hui-Min Wang
Journal:  Int J Mol Sci       Date:  2013-06-24       Impact factor: 5.923

10.  Ixodes scapularis and Ixodes ricinus tick cell lines respond to infection with tick-borne encephalitis virus: transcriptomic and proteomic analysis.

Authors:  Sabine Weisheit; Margarita Villar; Hana Tykalová; Marina Popara; Julia Loecherbach; Mick Watson; Daniel Růžek; Libor Grubhoffer; José de la Fuente; John K Fazakerley; Lesley Bell-Sakyi
Journal:  Parasit Vectors       Date:  2015-11-18       Impact factor: 3.876

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