Literature DB >> 16214384

An evaluation of linear RNA amplification in cDNA microarray gene expression analysis.

Bingmei Zhu1, Feng Xu, Yoshinobu Baba.   

Abstract

DNA microarray is becoming a common tool across a broad range of disciplines, particularly in the basic and clinical biomedical sciences. However, the limitation of this technology is the requirement for relatively large amount of RNA for labeling and hybridization. T7-based linear amplification technique can overcome this limitation and enables consumption of very low amount of samples. In this study, we utilized a low RNA input fluorescent linear amplification kit from Agilent to amplify 0.2mug total RNA and compared the gene expression profiles generated from amplified aRNA and total RNA. Our results demonstrated that nanograms total RNA can be amplified reproducibly with this protocol and can generate gene expression profiles comparable with unamplified total RNA. Furthermore, quantitative real-time PCR measurements of a set of 10 genes showed good correlation with amplified aRNA arrays.

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Year:  2005        PMID: 16214384     DOI: 10.1016/j.ymgme.2005.08.007

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  10 in total

1.  Influence of RNA labeling on expression profiling of microRNAs.

Authors:  John S Kaddis; Daniel H Wai; Jessica Bowers; Nicole Hartmann; Lukas Baeriswyl; Sheetal Bajaj; Michael J Anderson; Robert C Getts; Timothy J Triche
Journal:  J Mol Diagn       Date:  2011-11-07       Impact factor: 5.568

2.  Single molecule transcription profiling with AFM.

Authors:  Jason Reed; Bud Mishra; Bede Pittenger; Sergei Magonov; Joshua Troke; Michael A Teitell; James K Gimzewski
Journal:  Nanotechnology       Date:  2007-05-09       Impact factor: 3.874

Review 3.  The end of the microarray Tower of Babel: will universal standards lead the way?

Authors:  Ernest S Kawasaki
Journal:  J Biomol Tech       Date:  2006-07

4.  Gene expression profiling of experimental saccular aneurysms using deoxyribonucleic acid microarrays.

Authors:  R Kadirvel; Y-H Ding; D Dai; D A Lewis; S Raghavakaimal; H J Cloft; D F Kallmes
Journal:  AJNR Am J Neuroradiol       Date:  2008-07-03       Impact factor: 3.825

5.  Global gene expression analysis of reactive stroma in prostate cancer.

Authors:  Olga Dakhova; Mustafa Ozen; Chad J Creighton; Rile Li; Gustavo Ayala; David Rowley; Michael Ittmann
Journal:  Clin Cancer Res       Date:  2009-06-09       Impact factor: 12.531

6.  Predicting Autism Spectrum Disorder Using Blood-based Gene Expression Signatures and Machine Learning.

Authors:  Dong Hoon Oh; Il Bin Kim; Seok Hyeon Kim; Dong Hyun Ahn
Journal:  Clin Psychopharmacol Neurosci       Date:  2017-02-28       Impact factor: 2.582

7.  A human coronavirus OC43 variant harboring persistence-associated mutations in the S glycoprotein differentially induces the unfolded protein response in human neurons as compared to wild-type virus.

Authors:  Dominique J Favreau; Marc Desforges; Julien R St-Jean; Pierre J Talbot
Journal:  Virology       Date:  2009-10-28       Impact factor: 3.616

8.  Gemcitabine sensitivity-related mRNA expression in endoscopic ultrasound-guided fine-needle aspiration biopsy of unresectable pancreatic cancer.

Authors:  Reiko Ashida; Bunzo Nakata; Minoru Shigekawa; Nobumasa Mizuno; Akira Sawaki; Kosei Hirakawa; Tetsuo Arakawa; Kenji Yamao
Journal:  J Exp Clin Cancer Res       Date:  2009-06-16

9.  Transcriptome profiling of human hippocampus dentate gyrus granule cells in mental illness.

Authors:  R Kohen; A Dobra; J H Tracy; E Haugen
Journal:  Transl Psychiatry       Date:  2014-03-04       Impact factor: 6.222

10.  Terminal Continuation (TC) RNA amplification enables expression profiling using minute RNA input obtained from mouse brain.

Authors:  Melissa J Alldred; Shaoli Che; Stephen D Ginsberg
Journal:  Int J Mol Sci       Date:  2008-10-31       Impact factor: 6.208

  10 in total

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