Literature DB >> 15681475

Reliability and reproducibility of gene expression measurements using amplified RNA from laser-microdissected primary breast tissue with oligonucleotide arrays.

Chialin King1, Ning Guo, Garrett M Frampton, Norman P Gerry, Marc E Lenburg, Carol L Rosenberg.   

Abstract

Combined use of microdissection and high-density oligonucleotide arrays is a powerful technique to study in vivo gene expression. Because microdissection generally yields ng quantities of RNA, RNA amplification is necessary but affects array results. We tested the reliability and reproducibility of oligonucleotide array data obtained from small sample amplified RNA isolated from primary tissues via laser capture microdissection, to determine whether gene expression measurements obtained under these now customary conditions are reliable and reproducible enough to detect authentic expression differences between clinical samples. We performed eight U133A Affymetrix GeneChip oligonucleotide array hybridizations using RNA isolated from a single normal human breast specimen: two standard and six small samples prepared using independent microdissections, RNA isolations, and amplifications. We then performed six array hybridizations using RNA obtained similarly from paired normal epithelium and ductal carcinoma in situ from three independent breast specimens. We determined reliability by analysis of hybridization quality metrics, and reproducibility by analysis of the number of more than twofold changed genes, linear regression, and principal components analysis. All amplified RNA generated good quality hybridizations. From the initial specimen, correlations between replicates (r = 0.96 to 0.99) and between small samples (r = 0.94 to 0.98) were high, and between standard and small samples (r = 0.84) were moderate. In contrast, in the three normal cancer pairs, the differences in gene expression were large among the normal samples, the ductal carcinoma in situ samples, and between normal and ductal carcinoma in situ within each pair. These differences were a much larger source of variability than the technical variability introduced by the processes of laser capture microdissection, small sample amplification, and array hybridization. Nanogram quantities of RNA isolated from primary tissue using laser-capture microdissection generates reliable and reproducible gene expression measurements. These measurements do not mirror those obtained using micrograms of RNA. Biological variability in gene expression between independent specimens, and between histologically distinct samples within a specimen, is greater than the technical variability associated with the procedures. Future studies of in vivo gene expression using this approach will identify functionally important differences within or between specimens.

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Year:  2005        PMID: 15681475      PMCID: PMC1867505          DOI: 10.1016/S1525-1578(10)60009-8

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


  15 in total

1.  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

2.  mRNA expression profiling of laser microbeam microdissected cells from slender embryonic structures.

Authors:  Stefan J Scheidl; Sven Nilsson; Mattias Kalén; Mats Hellström; Minoru Takemoto; Joakim Håkansson; Per Lindahl
Journal:  Am J Pathol       Date:  2002-03       Impact factor: 4.307

3.  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

4.  Accurate and reproducible gene expression profiles from laser capture microdissection, transcript amplification, and high density oligonucleotide microarray analysis.

Authors:  Veronica Luzzi; Mamatha Mahadevappa; Rajiv Raja; Janet A Warrington; Mark A Watson
Journal:  J Mol Diagn       Date:  2003-02       Impact factor: 5.568

5.  A faithful method for PCR-mediated global mRNA amplification and its integration into microarray analysis on laser-captured cells.

Authors:  Kazuhiko Aoyagi; Takeshi Tatsuta; Michiko Nishigaki; Shingo Akimoto; Chikako Tanabe; Yoko Omoto; Shin ichi Hayashi; Hiromi Sakamoto; Michiie Sakamoto; Teruhiko Yoshida; Masaaki Terada; Hiroki Sasaki
Journal:  Biochem Biophys Res Commun       Date:  2003-01-24       Impact factor: 3.575

6.  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

7.  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

8.  Laser capture microdissection.

Authors:  M R Emmert-Buck; R F Bonner; P D Smith; R F Chuaqui; Z Zhuang; S R Goldstein; R A Weiss; L A Liotta
Journal:  Science       Date:  1996-11-08       Impact factor: 47.728

9.  Expression profiling of ductal carcinoma in situ by laser capture microdissection and high-density oligonucleotide arrays.

Authors:  V Luzzi; V Holtschlag; M A Watson
Journal:  Am J Pathol       Date:  2001-06       Impact factor: 4.307

10.  Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis.

Authors:  Hongjuan Zhao; Trevor Hastie; Michael L Whitfield; Anne-Lise Børresen-Dale; Stefanie S Jeffrey
Journal:  BMC Genomics       Date:  2002-10-30       Impact factor: 3.969

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  23 in total

1.  Molecular alterations in primary prostate cancer after androgen ablation therapy.

Authors:  Carolyn J M Best; John W Gillespie; Yajun Yi; Gadisetti V R Chandramouli; Mark A Perlmutter; Yvonne Gathright; Heidi S Erickson; Lauren Georgevich; Michael A Tangrea; Paul H Duray; Sergio González; Alfredo Velasco; W Marston Linehan; Robert J Matusik; Douglas K Price; William D Figg; Michael R Emmert-Buck; Rodrigo F Chuaqui
Journal:  Clin Cancer Res       Date:  2005-10-01       Impact factor: 12.531

Review 2.  Tools and resources for analyzing gene expression changes in glaucomatous neurodegeneration.

Authors:  Robert W Nickells; Heather R Pelzel
Journal:  Exp Eye Res       Date:  2015-05-19       Impact factor: 3.467

3.  Gene expression profiles of estrogen receptor-positive and estrogen receptor-negative breast cancers are detectable in histologically normal breast epithelium.

Authors:  Kelly Graham; Xijin Ge; Antonio de Las Morenas; Anusri Tripathi; Carol L Rosenberg
Journal:  Clin Cancer Res       Date:  2010-11-08       Impact factor: 12.531

4.  Selective gene expression analysis of the neuroepithelial body microenvironment in postnatal lungs with special interest for potential stem cell characteristics.

Authors:  Line Verckist; Robrecht Lembrechts; Sofie Thys; Isabel Pintelon; Jean-Pierre Timmermans; Inge Brouns; Dirk Adriaensen
Journal:  Respir Res       Date:  2017-05-08

5.  Gene expression profiles of breast biopsies from healthy women identify a group with claudin-low features.

Authors:  Vilde D Haakensen; Ole Christian Lingjaerde; Torben Lüders; Margit Riis; Aleix Prat; Melissa A Troester; Marit M Holmen; Jan Ole Frantzen; Linda Romundstad; Dina Navjord; Ida K Bukholm; Tom B Johannesen; Charles M Perou; Giske Ursin; Vessela N Kristensen; Anne-Lise Børresen-Dale; Aslaug Helland
Journal:  BMC Med Genomics       Date:  2011-11-01       Impact factor: 3.063

6.  Microarray gene profiling of laser-captured cells: a new tool to study atherosclerosis in mice.

Authors:  Antoni Paul; Vijay Yechoor; Rajiv Raja; Lan Li; Lawrence Chan
Journal:  Atherosclerosis       Date:  2008-03-04       Impact factor: 5.162

7.  Gene expression in histologically normal epithelium from breast cancer patients and from cancer-free prophylactic mastectomy patients shares a similar profile.

Authors:  K Graham; A de las Morenas; A Tripathi; C King; M Kavanah; J Mendez; M Stone; J Slama; M Miller; G Antoine; H Willers; P Sebastiani; C L Rosenberg
Journal:  Br J Cancer       Date:  2010-03-02       Impact factor: 7.640

8.  Early dysregulation of cell adhesion and extracellular matrix pathways in breast cancer progression.

Authors:  Lyndsey A Emery; Anusri Tripathi; Chialin King; Maureen Kavanah; Jane Mendez; Michael D Stone; Antonio de las Morenas; Paola Sebastiani; Carol L Rosenberg
Journal:  Am J Pathol       Date:  2009-08-21       Impact factor: 4.307

9.  Quality control in microarray assessment of gene expression in human airway epithelium.

Authors:  Tina Raman; Timothy P O'Connor; Neil R Hackett; Wei Wang; Ben-Gary Harvey; Marc A Attiyeh; David T Dang; Matthew Teater; Ronald G Crystal
Journal:  BMC Genomics       Date:  2009-10-24       Impact factor: 3.969

10.  Impact of sample acquisition and linear amplification on gene expression profiling of lung adenocarcinoma: laser capture micro-dissection cell-sampling versus bulk tissue-sampling.

Authors:  Eric W Klee; Sibel Erdogan; Lori Tillmans; Farhad Kosari; Zhifu Sun; Dennis A Wigle; Ping Yang; Marie C Aubry; George Vasmatzis
Journal:  BMC Med Genomics       Date:  2009-03-09       Impact factor: 3.063

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