Literature DB >> 16706747

Transcriptome amplification methods in gene expression profiling.

Clelia Peano1, Marco Severgnini, Ingrid Cifola, Gianluca De Bellis, Cristina Battaglia.   

Abstract

The increasing use of microarray expression profiling to study the molecular biology of cancer and the cellular physiology of difficult-to-isolate cell types has led to a need for methods that accurately and precisely amplify small quantities of RNA. The purpose of this review is to provide an overview of the existing methods for transcriptome amplification and to define the parameters for comparing different amplification methods. The authors propose a standardized protocol for the assessment and evaluation of amplification methods, focusing on a new whole-transcriptome amplification kit, which amplifies total RNA into cDNA fragments. Reproducibility and reliability of the method were analyzed and discussed using both quantitative real-time PCR and a high-density oligonucleotide microarray platform.

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Year:  2006        PMID: 16706747     DOI: 10.1586/14737159.6.3.465

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  7 in total

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Authors:  Meredith L Turetz; Timothy P O'Connor; Ann E Tilley; Yael Strulovici-Barel; Jacqueline Salit; David Dang; Matthew Teater; Jason Mezey; Andrew G Clark; Ronald G Crystal
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4.  How a B family DNA polymerase has been evolved to copy RNA.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-17       Impact factor: 11.205

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Authors:  Magdalena Skrzypczak; Krzysztof Goryca; Tymon Rubel; Agnieszka Paziewska; Michal Mikula; Dorota Jarosz; Jacek Pachlewski; Janusz Oledzki; Jerzy Ostrowski; Jerzy Ostrowsk
Journal:  PLoS One       Date:  2010-10-01       Impact factor: 3.240

6.  Methods for applying accurate digital PCR analysis on low copy DNA samples.

Authors:  Alexandra S Whale; Simon Cowen; Carole A Foy; Jim F Huggett
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

7.  Amplification biases: possible differences among deviating gene expressions.

Authors:  Séverine A Degrelle; Christelle Hennequet-Antier; Hélène Chiapello; Karine Piot-Kaminski; Francois Piumi; Stéphane Robin; Jean-Paul Renard; Isabelle Hue
Journal:  BMC Genomics       Date:  2008-01-28       Impact factor: 3.969

  7 in total

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