Reproducibility of gene expression across generations of Affymetrix microarrays

被引:54
作者
Nimgaonkar, A [1 ]
Sanoudou, D
Butte, AJ
Haslett, JN
Kunkel, LM
Beggs, AH
Kohane, IS
机构
[1] Harvard Med Sch, Informat Program, Childrens Hosp, Boston, MA 02115 USA
[2] Harvard Univ, Div Hlth Sci & Technol, Cambridge, MA 02138 USA
[3] MIT, Cambridge, MA 02139 USA
[4] Harvard Univ, Childrens Hosp, Div Genet, Sch Med, Boston, MA 02115 USA
关键词
D O I
10.1186/1471-2105-4-27
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: The development of large-scale gene expression profiling technologies is rapidly changing the norms of biological investigation. But the rapid pace of change itself presents challenges. Commercial microarrays are regularly modified to incorporate new genes and improved target sequences. Although the ability to compare datasets across generations is crucial for any long-term research project, to date no means to allow such comparisons have been developed. In this study the reproducibility of gene expression levels across two generations of Affymetrix GeneChips(R) (HuGeneFL and HG-U95A) was measured. Results: Correlation coefficients were computed for gene expression values across chip generations based on different measures of similarity. Comparing the absolute calls assigned to the individual probe sets across the generations found them to be largely unchanged. Conclusion: We show that experimental replicates are highly reproducible, but that reproducibility across generations depends on the degree of similarity of the probe sets and the expression level of the corresponding transcript.
引用
收藏
页数:12
相关论文
共 15 条
[1]   Gene expression informatics - it's all in your mine [J].
Bassett, DE ;
Eisen, MB ;
Boguski, MS .
NATURE GENETICS, 1999, 21 (Suppl 1) :51-55
[2]   Cluster analysis and display of genome-wide expression patterns [J].
Eisen, MB ;
Spellman, PT ;
Brown, PO ;
Botstein, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) :14863-14868
[3]   Diverse signaling pathways activated by growth factor receptors induce broadly overlapping, rather than independent, sets of genes [J].
Fambrough, D ;
McClure, K ;
Kazlauskas, A ;
Lander, ES .
CELL, 1999, 97 (06) :727-741
[4]   Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring [J].
Golub, TR ;
Slonim, DK ;
Tamayo, P ;
Huard, C ;
Gaasenbeek, M ;
Mesirov, JP ;
Coller, H ;
Loh, ML ;
Downing, JR ;
Caligiuri, MA ;
Bloomfield, CD ;
Lander, ES .
SCIENCE, 1999, 286 (5439) :531-537
[5]   Gene expression comparison of biopsies from Duchenne muscular dystrophy (DMD) and normal skeletal muscle [J].
Haslett, JN ;
Sanoudou, D ;
Kho, AT ;
Bennett, RR ;
Greenberg, SA ;
Kohane, IS ;
Beggs, AH ;
Kunkel, LM .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (23) :15000-15005
[6]   Analysis of variance for gene expression microarray data [J].
Kerr, MK ;
Martin, M ;
Churchill, GA .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2000, 7 (06) :819-837
[7]   Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations [J].
Lee, MLT ;
Kuo, FC ;
Whitmore, GA ;
Sklar, J .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (18) :9834-9839
[8]   Expression monitoring by hybridization to high-density oligonucleotide arrays [J].
Lockhart, DJ ;
Dong, HL ;
Byrne, MC ;
Follettie, MT ;
Gallo, MV ;
Chee, MS ;
Mittmann, M ;
Wang, CW ;
Kobayashi, M ;
Horton, H ;
Brown, EL .
NATURE BIOTECHNOLOGY, 1996, 14 (13) :1675-1680
[9]   A new approach for filtering noise from high-density oligonucleotide microarray datasets [J].
Mills, JC ;
Gordon, JI .
NUCLEIC ACIDS RESEARCH, 2001, 29 (15) :art. no.-e72
[10]   Expression profiling reveals altered satellite cell numbers and glycolytic enzyme transcription in nemaline myopathy muscle [J].
Sanoudou, D ;
Haslett, JN ;
Kho, AT ;
Guo, SQ ;
Gazda, HT ;
Greenberg, SA ;
Lidov, HGW ;
Kohane, IS ;
Kunkel, LM ;
Beggs, AH .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (08) :4666-4671