Meta-analysis of gene expression signatures reveals hidden links among diverse biological processes in Arabidopsis.

Meta-analysis of gene expression signatures reveals hidden links among diverse biological processes in Arabidopsis.
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DOI:
10.1371/journal.pone.0108567
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Ge SX
Ge SX
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lai L;Ge SX

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The model plant Arabidopsis has been well-studied using high-throughput genomics technologies, which usually generate lists of differentially expressed genes under various conditions. Our group recently collected 1065 gene lists from 397 gene expression studies as a knowledgebase for pathway analysis. Here we systematically analyzed these gene lists by computing overlaps in all-vs.-all comparisons. We identified 16,261 statistically significant overlaps, represented by an undirected network in which nodes correspond to gene lists and edges indicate significant overlaps. The network highlights the correlation across the gene expression signatures of the diverse biological processes. We also partitioned the main network into 20 sub-networks, representing groups of highly similar expression signatures. These are common sets of genes that were co-regulated under different treatments or conditions and are often related to specific biological themes. Overall, our result suggests that diverse gene expression signatures are highly interconnected in a modular fashion.
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