title: A densely interconnected genome-wide network of microRNAs and oncogenic pathways revealed using gene expression signatures.
abstract: MicroRNAs (miRNAs) are important components of cellular signaling pathways, acting either as pathway regulators or pathway targets. Currently, only a limited number of miRNAs have been functionally linked to specific signaling pathways. Here, we explored if gene expression signatures could be used to represent miRNA activities and integrated with genomic signatures of oncogenic pathway activity to identify connections between miRNAs and oncogenic pathways on a high-throughput, genome-wide scale. Mapping >300 gene expression signatures to >700 primary tumor profiles, we constructed a genome-wide miRNA-pathway network predicting the associations of 276 human miRNAs to 26 oncogenic pathways. The miRNA-pathway network confirmed a host of previously reported miRNA/pathway associations and uncovered several novel associations that were subsequently experimentally validated. Globally, the miRNA-pathway network demonstrates a small-world, but not scale-free, organization characterized by multiple distinct, tightly knit modules each exhibiting a high density of connections. However, unlike genetic or metabolic networks typified by only a few highly connected nodes ("hubs"), most nodes in the miRNA-pathway network are highly connected. Sequence-based computational analysis confirmed that highly-interconnected miRNAs are likely to be regulated by common pathways to target similar sets of downstream genes, suggesting a pervasive and high level of functional redundancy among coexpressed miRNAs. We conclude that gene expression signatures can be used as surrogates of miRNA activity. Our strategy facilitates the task of discovering novel miRNA-pathway connections, since gene expression data for multiple normal and disease conditions are abundantly available.
authors.affiliation: Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore, Singapore.
authors.forename: Chia Huey
authors.initials: CH
authors.lastname: Ooi
authors.forename: Hue Kian
authors.initials: HK
authors.lastname: Oh
authors.forename: Hannah Zhu'ai
authors.initials: HZ
authors.lastname: Wang
authors.forename: Angie Lay Keng
authors.initials: AL
authors.lastname: Tan
authors.forename: Jeanie
authors.initials: J
authors.lastname: Wu
authors.forename: Minghui
authors.initials: M
authors.lastname: Lee
authors.forename: Sun Young
authors.initials: SY
authors.lastname: Rha
authors.forename: Hyun Cheol
authors.initials: HC
authors.lastname: Chung
authors.forename: David Marc
authors.initials: DM
authors.lastname: Virshup
authors.forename: Patrick
authors.initials: P
authors.lastname: Tan
mesh_terms: D002273:Carcinogens / Q000378:metabolism*; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks / Q000235:genetics*; D015894:Genome, Human; D057166:High-Throughput Screening Assays; D006801:Humans; D035683:MicroRNAs / Q000235:genetics* / Q000378:metabolism; D012333:RNA, Messenger / Q000235:genetics; D015398:Signal Transduction / Q000235:genetics*
chemical_list: D002273:Carcinogens; D035683:MicroRNAs; D012333:RNA, Messenger