Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues

被引:221
作者
Kilpinen, Sami [1 ,2 ,3 ]
Autio, Reija [4 ]
Ojala, Kalle [1 ,2 ,3 ]
Iljin, Kristiina [1 ,2 ]
Bucher, Elmar [1 ,2 ]
Sara, Henri [1 ,2 ]
Pisto, Tommi [1 ,2 ]
Saarela, Matti [4 ]
Skotheim, Rolf I. [1 ,2 ,5 ]
Bjorkman, Mari [1 ,2 ]
Mpindi, John-Patrick [1 ,2 ]
Haapa-Paananen, Saija [1 ,2 ]
Vainio, Paula [1 ,2 ]
Edgren, Henrik [1 ,2 ,3 ]
Wolf, Maija [1 ,2 ,3 ]
Astola, Jaakko [4 ]
Nees, Matthias [1 ,2 ]
Hautaniemi, Sampsa [6 ]
Kallioniemi, Olli [1 ,2 ,3 ]
机构
[1] VTT Tech Res Ctr, Turku, Finland
[2] Univ Turku, Turku, Finland
[3] Univ Helsinki, FIMM, Helsinki, Finland
[4] Tampere Univ Technol, Dept Signal Proc, FIN-33101 Tampere, Finland
[5] Natl Hosp Norway, Radiumhosp, Inst Canc Res, Dept Canc Prevent,Med Ctr, NO-0310 Oslo, Norway
[6] Univ Helsinki, Scale Biol Res Program, Inst Biomed & Genome, Computat Syst Biol Lab, FIN-00014 Helsinki, Finland
基金
芬兰科学院;
关键词
D O I
10.1186/gb-2008-9-9-r139
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Our knowledge on tissue- and disease-specific functions of human genes is rather limited and highly context-specific. Here, we have developed a method for the comparison of mRNA expression levels of most human genes across 9,783 Affymetrix gene expression array experiments representing 43 normal human tissue types, 68 cancer types, and 64 other diseases. This database of gene expression patterns in normal human tissues and pathological conditions covers 113 million datapoints and is available from the GeneSapiens website.
引用
收藏
页数:14
相关论文
共 60 条
[1]  
Aiuti A, 1998, EXP HEMATOL, V26, P143
[2]   Gene Ontology: tool for the unification of biology [J].
Ashburner, M ;
Ball, CA ;
Blake, JA ;
Botstein, D ;
Butler, H ;
Cherry, JM ;
Davis, AP ;
Dolinski, K ;
Dwight, SS ;
Eppig, JT ;
Harris, MA ;
Hill, DP ;
Issel-Tarver, L ;
Kasarskis, A ;
Lewis, S ;
Matese, JC ;
Richardson, JE ;
Ringwald, M ;
Rubin, GM ;
Sherlock, G .
NATURE GENETICS, 2000, 25 (01) :25-29
[3]   Adjustment of systematic microarray data biases [J].
Benito, M ;
Parker, J ;
Du, Q ;
Wu, JY ;
Xang, D ;
Perou, CM ;
Marron, JS .
BIOINFORMATICS, 2004, 20 (01) :105-114
[4]   Transformation of expression intensities across generations of affymetrix microarrays using sequence matching and regression modeling [J].
Bhattacharya, S ;
Mariani, TJ .
NUCLEIC ACIDS RESEARCH, 2005, 33 (18) :1-10
[5]   A comparison of normalization methods for high density oligonucleotide array data based on variance and bias [J].
Bolstad, BM ;
Irizarry, RA ;
Åstrand, M ;
Speed, TP .
BIOINFORMATICS, 2003, 19 (02) :185-193
[6]   Minimum information about a microarray experiment (MIAME) - toward standards for microarray data [J].
Brazma, A ;
Hingamp, P ;
Quackenbush, J ;
Sherlock, G ;
Spellman, P ;
Stoeckert, C ;
Aach, J ;
Ansorge, W ;
Ball, CA ;
Causton, HC ;
Gaasterland, T ;
Glenisson, P ;
Holstege, FCP ;
Kim, IF ;
Markowitz, V ;
Matese, JC ;
Parkinson, H ;
Robinson, A ;
Sarkans, U ;
Schulze-Kremer, S ;
Stewart, J ;
Taylor, R ;
Vilo, J ;
Vingron, M .
NATURE GENETICS, 2001, 29 (04) :365-371
[7]   ArrayExpress - a public repository for microarray gene expression data at the EBI [J].
Brazma, A ;
Parkinson, H ;
Sarkans, U ;
Shojatalab, M ;
Vilo, J ;
Abeygunawardena, N ;
Holloway, E ;
Kapushesky, M ;
Kemmeren, P ;
Lara, GG ;
Oezcimen, A ;
Rocca-Serra, P ;
Sansone, SA .
NUCLEIC ACIDS RESEARCH, 2003, 31 (01) :68-71
[8]   GFAP PROMOTER DIRECTS ASTROCYTE-SPECIFIC EXPRESSION IN TRANSGENIC MICE [J].
BRENNER, M ;
KISSEBERTH, WC ;
SU, Y ;
BESNARD, F ;
MESSING, A .
JOURNAL OF NEUROSCIENCE, 1994, 14 (03) :1030-1037
[9]   Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset [J].
Choe, SE ;
Boutros, M ;
Michelson, AM ;
Church, GM ;
Halfon, MS .
GENOME BIOLOGY, 2005, 6 (02)
[10]  
Christenson RH, 1998, CLIN CHEM, V44, P494