Harshlighting small blemishes on microarrays -: art. no. 65

被引:14
作者
Suárez-Fariñas, M
Haider, A
Wittkowski, KM
机构
[1] Rockefeller Univ, Ctr Studies Phys & Biol, New York, NY 10021 USA
[2] Rockefeller Univ, Invest Dermatol Lab, New York, NY 10021 USA
[3] Rockefeller Univ, Gen Clin Res Ctr, New York, NY 10021 USA
关键词
D O I
10.1186/1471-2105-6-65
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings, etc. Microarray scans show similar artefacts, which affect the analysis, particularly when one tries to detect subtle changes. However, most blemishes are hard to find by the unaided eye, particularly in high-density oligonucleotide arrays (HDONAs). Results: We present a method that harnesses the statistical power provided by having several HDONAs available, which are obtained under similar conditions except for the experimental factor. This method "harshlights" blemishes and renders them evident. We find empirically that about 25% of our chips are blemished, and we analyze the impact of masking them on screening for differentially expressed genes. Conclusion: Experiments attempting to assess subtle expression changes should be carefully screened for blemishes on the chips. The proposed method provides investigators with a novel robust approach to improve the sensitivity of microarray analyses. By utilizing topological information to identify and mask blemishes prior to model based analyses, the method prevents artefacts from confounding the process of background correction, normalization, and summarization.
引用
收藏
页数:14
相关论文
共 19 条
[1]  
*AFF 1, 2004, GENECHIP EXPR AN DAT
[2]  
[Anonymous], 2003, Design and Analysis of DNA Microarray Investigations
[3]  
BAYLIFFE A, 2004, PPAR G MECH REDUCING
[4]   Image metrics in the statistical analysis of DNA microarray data [J].
Brown, CS ;
Goodwin, PC ;
Sorger, PK .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (16) :8944-8949
[5]  
COLLIN F, 2003, QUALITY ASSESSMENT G
[6]   A benchmark for affymetrix GeneChip expression measures [J].
Cope, LM ;
Irizarry, RA ;
Jaffee, HA ;
Wu, ZJ ;
Speed, TP .
BIOINFORMATICS, 2004, 20 (03) :323-331
[7]   Pattern formation in drying drops [J].
Deegan, RD .
PHYSICAL REVIEW E, 2000, 61 (01) :475-485
[8]   A novel strategy for microarray quality control using Bayesian networks [J].
Hautaniemi, S ;
Edgren, H ;
Vesanen, P ;
Wolf, M ;
Järvinen, AK ;
Yli-Harja, O ;
Astola, J ;
Kallioniemi, O ;
Monni, O .
BIOINFORMATICS, 2003, 19 (16) :2031-2038
[9]  
Ihaka R., 1996, J COMPUTATIONAL GRAP, V5, P299, DOI [10.1080/10618600.1996.10474713, 10.2307/1390807, DOI 10.1080/10618600.1996.10474713]
[10]   Exploration, normalization, and summaries of high density oligonucleotide array probe level data [J].
Irizarry, RA ;
Hobbs, B ;
Collin, F ;
Beazer-Barclay, YD ;
Antonellis, KJ ;
Scherf, U ;
Speed, TP .
BIOSTATISTICS, 2003, 4 (02) :249-264