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pmid:17932064

COXPRESdb: a database of coexpressed gene networks in mammals.

Takeshi Obayashi · Shinpei Hayashi · Masayuki Shibaoka · Motoshi Saeki · Hiroyuki Ohta · Kengo Kinoshita

Nucleic acids research · 2008 doi:10.1093/nar/gkm840

Paper

complete

Experiment

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Data

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title
COXPRESdb: a database of coexpressed gene networks in mammals.
doi
10.1093/nar/gkm840
pmid
17932064
authors array · 6 items
[0]
Takeshi Obayashi
[1]
Shinpei Hayashi
[2]
Masayuki Shibaoka
[3]
Motoshi Saeki
[4]
Hiroyuki Ohta
[5]
Kengo Kinoshita
journal
Nucleic acids research
year
2008
abstract
A database of coexpressed gene sets can provide valuable information for a wide variety of experimental designs, such as targeting of genes for functional identification, gene regulation and/or protein-protein interactions. Coexpressed gene databases derived from publicly available GeneChip data are widely used in Arabidopsis research, but platforms that examine coexpression for higher mammals are rather limited. Therefore, we have constructed a new database, COXPRESdb (coexpressed gene database) (http://coxpresdb.hgc.jp), for coexpressed gene lists and networks in human and mouse. Coexpression data could be calculated for 19 777 and 21 036 genes in human and mouse, respectively, by using the GeneChip data in NCBI GEO. COXPRESdb enables analysis of the four types of coexpression networks: (i) highly coexpressed genes for every gene, (ii) genes with the same GO annotation, (iii) genes expressed in the same tissue and (iv) user-defined gene sets. When the networks became too big for the static picture on the web in GO networks or in tissue networks, we used Google Maps API to visualize them interactively. COXPRESdb also provides a view to compare the human and mouse coexpression patterns to estimate the conservation between the two species.
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We used the Robust Multi-array Average (RMA) method (20) for GeneChip normalization and weighted Pearson's correlation coefficients based on sample redundancies to measure probe-to-probe expression pattern similarity (8).
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sections[6] "Calculation of gene coexpression" paragraph 3
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We used the Robust Multi-array Average (RMA) method (20) for GeneChip normalization and weighted Pearson's correlation coefficients based on sample redundancies to measure probe-to-probe expression pattern similarity (8).
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sections[6] "Calculation of gene coexpression" paragraph 2
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GPL570 (Human Genome U133 Plus 2.0 Array: 54 614 probesets) and GPL1261 (Mouse Genome 430 2.0 Array: 45 037 probesets) were selected from NCBI GEO (4).
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The study constructed COXPRESdb for human and mouse coexpression analysis using NCBI GEO GeneChip data normalized with the Robust Multi-array Average (RMA) method, with coexpression measured by weighted Pearson's correlation coefficients based on sample redundancies.
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sections[0] "Abstract" paragraph 1
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Therefore, we have constructed a new database, COXPRESdb (coexpressed gene database) (http://coxpresdb.hgc.jp), for coexpressed gene lists and networks in human and mouse.
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sections[6] "Calculation of gene coexpression" paragraph 2
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To define reliable coexpressed genes, we constructed gene expression profiles using as many genes and samples as possible. Toward this end, GPL570 (Human Genome U133 Plus 2.0 Array: 54 614 probesets) and GPL1261 (Mouse Genome 430 2.0 Array: 45 037 probesets) were selected from NCBI GEO (4).
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As a result, we used 3749 human and 2226 mouse samples as the raw data (CEL files).
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sections[6] "Calculation of gene coexpression" paragraph 3
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We used the Robust Multi-array Average (RMA) method (20) for GeneChip normalization and weighted Pearson's correlation coefficients based on sample redundancies to measure probe-to-probe expression pattern similarity (8).
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The paper names GSE3526, GSE1986 in NCBI GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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pressed gene lists and networks in human and mouse. Coexpression data could be calculated for 1
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We used the Robust Multi-array Average (RMA) method (20) for GeneChip normalization and weighted Pearson's correlation coefficients based on sample redundancies to measure probe-to-probe expression pattern similarity (8).
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Coexpressed gene databases derived from publicly available GeneChip data are widely used in Arabidopsis research, but platforms that examine coexpression for higher mammals are rather limited. Therefore, we have constructed a new database, COXPRESdb (coexpressed gene database) (http://coxpresdb.hgc.jp), for coexpressed gene lists and networks in human and mouse. Coexpression data could be calculated for 19 777 and 21 036 genes in human and mouse, respectively, by using the GeneChip data in NCBI GEO. COXPRESdb enables analysis of the four types of coexpression networks: (i) highly coexpressed genes for every gene, (ii) genes with the same GO annotation, (iii) genes expressed in the same tissue and (iv) user-defined gene sets. When the networks became too big for the static picture on the web in GO networks or in tissue networks, we used Google Maps API to visualize them interactively. 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