Literature DB >> 15681474

Reproducibility, fidelity, and discriminant validity of mRNA amplification for microarray analysis from primary hematopoietic cells.

Liang Li1, Joe Roden, Bruce E Shapiro, Barbara J Wold, Smita Bhatia, Stephen J Forman, Ravi Bhatia.   

Abstract

Analysis of gene expression in clinical samples poses special challenges, including limited RNA availability and poor RNA quality. Quantitative information regarding reliability of RNA amplification methodologies applied to primary cells and representativeness of resulting gene expression profiles is limited. We evaluated four protocols for RNA amplification from peripheral blood mononuclear cells. Results obtained with 100 ng or 10 ng of RNA amplified using two rounds of cDNA synthesis and in vitro transcription were compared with control 2.5-microg RNA samples processed using a single round of in vitro transcription. Samples were hybridized to Affymetrix HG-U133A arrays. Considerable differences in results were obtained with different protocols. The optimal protocol resulted in highly reproducible gene expression profiles from amplified samples (r = 0.98) and good correlation between amplified and control samples (r = 0.94). Using the optimal protocol dissimilarities of gene expression between mononuclear cells from a normal individual and a patient with myelodysplastic syndrome were primarily maintained after amplification compared with controls. We conclude that small variations in methodology introduce considerable distortion of gene expression profiles obtained after RNA amplification from clinical samples and too strong a focus on a very small number of genes picked from an array analysis could be unduly influenced by seemingly acceptable methodologies. However, it is possible to obtain reproducible and representative results using optimized protocols.

Entities:  

Keywords:  NASA Discipline Cell Biology; Non-NASA Center

Mesh:

Substances:

Year:  2005        PMID: 15681474      PMCID: PMC1867503          DOI: 10.1016/S1525-1578(10)60008-6

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  14 in total

1.  High-fidelity mRNA amplification for gene profiling.

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Journal:  Nat Biotechnol       Date:  2000-04       Impact factor: 54.908

2.  A high-density probe array sample preparation method using 10- to 100-fold fewer cells.

Authors:  M Mahadevappa; J A Warrington
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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.  Gene expression profiles of human breast cancer progression.

Authors:  Xiao-Jun Ma; Ranelle Salunga; J Todd Tuggle; Justin Gaudet; Edward Enright; Philip McQuary; Terry Payette; Maria Pistone; Kimberly Stecker; Brian M Zhang; Yi-Xiong Zhou; Heike Varnholt; Barbara Smith; Michelle Gadd; Erica Chatfield; Jessica Kessler; Thomas M Baer; Mark G Erlander; Dennis C Sgroi
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-24       Impact factor: 11.205

5.  Gene expression profiles of laser-captured adjacent neuronal subtypes.

Authors:  L Luo; R C Salunga; H Guo; A Bittner; K C Joy; J E Galindo; H Xiao; K E Rogers; J S Wan; M R Jackson; M G Erlander
Journal:  Nat Med       Date:  1999-01       Impact factor: 53.440

6.  Characterization of gene expression of CD34+ cells from normal and myelodysplastic bone marrow.

Authors:  Wolf-K Hofmann; Sven de Vos; Martina Komor; Dieter Hoelzer; William Wachsman; H Phillip Koeffler
Journal:  Blood       Date:  2002-11-15       Impact factor: 22.113

7.  Expression profiling of CD34+ hematopoietic stem/ progenitor cells reveals distinct subtypes of therapy-related acute myeloid leukemia.

Authors:  Zhijian Qian; Anthony A Fernald; Lucy A Godley; Richard A Larson; Michelle M Le Beau
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-04       Impact factor: 11.205

8.  DNA microarray analysis of hematopoietic stem cell-like fractions from individuals with the M2 subtype of acute myeloid leukemia.

Authors:  Y Oshima; M Ueda; Y Yamashita; Y L Choi; J Ota; S Ueno; R Ohki; K Koinuma; T Wada; K Ozawa; A Fujimura; H Mano
Journal:  Leukemia       Date:  2003-10       Impact factor: 11.528

9.  Identification of a gene expression signature associated with pediatric AML prognosis.

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Journal:  Blood       Date:  2003-05-08       Impact factor: 22.113

10.  Expression profiles of acute lymphoblastic and myeloblastic leukemias with ALL-1 rearrangements.

Authors:  T Rozovskaia; O Ravid-Amir; S Tillib; G Getz; E Feinstein; H Agrawal; A Nagler; E F Rappaport; I Issaeva; Y Matsuo; U R Kees; T Lapidot; F Lo Coco; R Foa; A Mazo; T Nakamura; C M Croce; G Cimino; E Domany; E Canaani
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-02       Impact factor: 11.205

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  21 in total

1.  Expression patterns and action analysis of genes associated with physiological responses during rat liver regeneration: cellular immune response.

Authors:  Lian-Xing Zhang; Li-Feng Zhao; An-Shi Zhang; Xiao-Guang Chen; Cun-Shuan Xu
Journal:  World J Gastroenterol       Date:  2006-12-14       Impact factor: 5.742

2.  Expression patterns and action analysis of genes associated with physiological responses during rat liver regeneration: Innate immune response.

Authors:  Guang-Wen Chen; Ming-Zhen Zhang; Li-Feng Zhao; Cun-Shuan Xu
Journal:  World J Gastroenterol       Date:  2006-12-28       Impact factor: 5.742

3.  Microarray-based analysis of microbial community RNAs by whole-community RNA amplification.

Authors:  Haichun Gao; Zamin K Yang; Terry J Gentry; Liyou Wu; Christopher W Schadt; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2006-11-10       Impact factor: 4.792

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Journal:  Proteomics       Date:  2007-08       Impact factor: 3.984

5.  Expression patterns and action analysis of genes associated with hepatitis virus infection during rat liver regeneration.

Authors:  Li-Juan Su; Guang-Wei Ding; Zhi-Li Yang; Shou-Bing Zhang; Yu-Xiu Yang; Cun-Shuan Xu
Journal:  World J Gastroenterol       Date:  2006-12-21       Impact factor: 5.742

6.  Rapid expression profiling of brain microvascular endothelial cells by immuno-laser capture microdissection coupled to TaqMan(®) low density array.

Authors:  Tyler G Demarest; Nivetha Murugesan; Bandana Shrestha; Joel S Pachter
Journal:  J Neurosci Methods       Date:  2012-03-10       Impact factor: 2.390

7.  Expression pattern and action analysis of genes associated with the responses to chemical stimuli during rat liver regeneration.

Authors:  Shao-Wei Qin; Li-Feng Zhao; Xiao-Guang Chen; Cun-Shuan Xu
Journal:  World J Gastroenterol       Date:  2006-12-07       Impact factor: 5.742

8.  Correlation analysis of liver tumor-associated genes with liver regeneration.

Authors:  Cun-Shuan Xu; Shou-Bing Zhang; Xiao-Guang Chen; Salman Rahman
Journal:  World J Gastroenterol       Date:  2007-06-28       Impact factor: 5.742

9.  Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Authors:  Mathieu Clément-Ziza; David Gentien; Stanislas Lyonnet; Jean-Paul Thiery; Claude Besmond; Charles Decraene
Journal:  BMC Genomics       Date:  2009-05-26       Impact factor: 3.969

10.  Comparison of dorsal root ganglion gene expression in rat models of traumatic and HIV-associated neuropathic pain.

Authors:  Klio Maratou; Victoria C J Wallace; Fauzia S Hasnie; Kenji Okuse; Ramine Hosseini; Nipurna Jina; Julie Blackbeard; Timothy Pheby; Christine Orengo; Anthony H Dickenson; Stephen B McMahon; Andrew S C Rice
Journal:  Eur J Pain       Date:  2008-07-07       Impact factor: 3.931

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