Literature DB >> 18006269

Efficacy of RNA amplification is dependent on sequence characteristics: implications for gene expression profiling using a cDNA microarray.

Nina Duftner1, Jonah Larkins-Ford, Matthieu Legendre, Hans A Hofmann.   

Abstract

Minute tissue samples or single cells increasingly provide the starting material for gene expression profiling, which often requires RNA amplification. Although much effort has been put into optimizing amplification protocols, the relative abundance of RNA templates in the amplified product is frequently biased. We applied a T7 polymerase-based technique to amplify RNA from two tissues of a cichlid fish and compared expression levels of unamplified and amplified RNA on a cDNA microarray. Amplification bias was generally minor and comprised features that were lost (1.3%) or gained (2.5%) through amplification and features that were scored as regulated before but unregulated after amplification (4.2%) or vice versa (19.5%). We examined 10 sequence-specific properties and found that GC content, folding energy, hairpin length and number, and lengths of poly(A) and poly(T) stretches significantly affected RNA amplification. We conclude that, if RNA amplification is used in gene expression studies, preceding experiments controlling for amplification bias should be performed.

Mesh:

Year:  2007        PMID: 18006269      PMCID: PMC2258226          DOI: 10.1016/j.ygeno.2007.09.004

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  42 in total

1.  High-fidelity mRNA amplification for gene profiling.

Authors:  E Wang; L D Miller; G A Ohnmacht; E T Liu; F M Marincola
Journal:  Nat Biotechnol       Date:  2000-04       Impact factor: 54.908

Review 2.  Genomics, gene expression and DNA arrays.

Authors:  D J Lockhart; E A Winzeler
Journal:  Nature       Date:  2000-06-15       Impact factor: 49.962

3.  Quantitative analysis of mRNA amplification by in vitro transcription.

Authors:  L R Baugh; A A Hill; E L Brown; C P Hunter
Journal:  Nucleic Acids Res       Date:  2001-03-01       Impact factor: 16.971

4.  Oligo(dT) primer generates a high frequency of truncated cDNAs through internal poly(A) priming during reverse transcription.

Authors:  Douglas Kyung Nam; Sanggyu Lee; Guolin Zhou; Xiaohong Cao; Clarence Wang; Terry Clark; Jianjun Chen; Janet D Rowley; San Ming Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-23       Impact factor: 11.205

5.  Variation in gene expression within and among natural populations.

Authors:  Marjorie F Oleksiak; Gary A Churchill; Douglas L Crawford
Journal:  Nat Genet       Date:  2002-09-03       Impact factor: 38.330

6.  High-accuracy amplification of nanogram total RNA amounts for gene profiling.

Authors:  Marc Kenzelmann; Ralf Klären; Manfred Hergenhahn; Mahnaz Bonrouhi; Hermann-Josef Gröne; Wolfgang Schmid; Günther Schütz
Journal:  Genomics       Date:  2004-04       Impact factor: 5.736

7.  CDNA library construction from a small amount of RNA: adaptor-ligation approach for two-round cRNA amplification using T7 and SP6 RNA polymerases.

Authors:  Reiko Ohara; Reiko F Kikuno; Hiroshi Kitamura; Osamu Ohara
Journal:  Biotechniques       Date:  2005-03       Impact factor: 1.993

8.  Amplified RNA synthesized from limited quantities of heterogeneous cDNA.

Authors:  R N Van Gelder; M E von Zastrow; A Yool; W C Dement; J D Barchas; J H Eberwine
Journal:  Proc Natl Acad Sci U S A       Date:  1990-03       Impact factor: 11.205

Review 9.  Options available for profiling small samples: a review of sample amplification technology when combined with microarray profiling.

Authors:  Vigdis Nygaard; Eivind Hovig
Journal:  Nucleic Acids Res       Date:  2006-02-09       Impact factor: 16.971

10.  An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis.

Authors:  Kazuki Kurimoto; Yukihiro Yabuta; Yasuhide Ohinata; Yukiko Ono; Kenichiro D Uno; Rikuhiro G Yamada; Hiroki R Ueda; Mitinori Saitou
Journal:  Nucleic Acids Res       Date:  2006-03-17       Impact factor: 16.971

View more
  8 in total

1.  The stage-specific testicular germ cell apoptotic response to low-dose X-irradiation and 2,5-hexanedione combined exposure. I: Validation of the laser capture microdissection method for qRT-PCR array application.

Authors:  Natasha R Catlin; Susan M Huse; Kim Boekelheide
Journal:  Toxicol Pathol       Date:  2014-04-09       Impact factor: 1.902

2.  The neural crest and cancer: a developmental spin on melanoma.

Authors:  Paul M Kulesa; Jason A Morrison; Caleb M Bailey
Journal:  Cells Tissues Organs       Date:  2013-06-15       Impact factor: 2.481

3.  An optimized protocol for microarray validation by quantitative PCR using amplified amino allyl labeled RNA.

Authors:  Céline Jeanty; Dan Longrois; Paul-Michel Mertes; Daniel R Wagner; Yvan Devaux
Journal:  BMC Genomics       Date:  2010-10-07       Impact factor: 3.969

4.  Use of non-amplified RNA samples for microarray analysis of gene expression.

Authors:  Hiroko Sudo; Atsuko Mizoguchi; Junpei Kawauchi; Hideo Akiyama; Satoko Takizawa
Journal:  PLoS One       Date:  2012-02-15       Impact factor: 3.240

5.  The transcriptome of the novel dinoflagellate Oxyrrhis marina (Alveolata: Dinophyceae): response to salinity examined by 454 sequencing.

Authors:  Chris D Lowe; Luciane V Mello; Najma Samatar; Laura E Martin; David J S Montagnes; Phillip C Watts
Journal:  BMC Genomics       Date:  2011-10-20       Impact factor: 3.969

6.  Real-time monitoring of aRNA production during T7 amplification to prevent the loss of sample representation during microarray hybridization sample preparation.

Authors:  Isabelle Gilbert; Sara Scantland; Isabelle Dufort; Olga Gordynska; Aurélie Labbe; Marc-André Sirard; Claude Robert
Journal:  Nucleic Acids Res       Date:  2009-03-30       Impact factor: 16.971

Review 7.  Microarray experiments and factors which affect their reliability.

Authors:  Roman Jaksik; Marta Iwanaszko; Joanna Rzeszowska-Wolny; Marek Kimmel
Journal:  Biol Direct       Date:  2015-09-03       Impact factor: 4.540

8.  Analysis of EST data of the marine protist Oxyrrhis marina, an emerging model for alveolate biology and evolution.

Authors:  Renny Lee; Hugo Lai; Shehre Banoo Malik; Juan F Saldarriaga; Patrick J Keeling; Claudio H Slamovits
Journal:  BMC Genomics       Date:  2014-02-11       Impact factor: 3.969

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.