title: miR clusters target cellular functional complexes by defining their degree of regulatory freedom.
abstract: Using the two paralog miR-23∼27∼24 clusters as an example and combining experimental and clinical data in a systematical approach to microRNA (miR) function and dysregulation, a complex picture of their roles in cancer is drawn. Various findings appear to be contradictory to a larger extent and cannot be fully explained by the classical regulatory network models and feedback loops that are mainly considered by one-to-one regulatory interactions of the involved molecules. Here, we propose an extended model of the regulatory role of miRs that, at least, supplements the usually considered single/oligo-target regulation of certain miRs. The cellular availability of the participating miR members in this model reflects an upper hierarchy level of intracellular and extracellular environmental influences, such as neighboring cells, soluble factors, hypoxia, chemotherapeutic drugs, and irradiation, among others. The novel model is based on the understanding of cellular functional complexes, such as for apoptosis, migration, and proliferation. These complexes consist of many regulatory components that can be targeted by miR cluster members to a different extent but may affect the functional complex in different ways. We propose that the final miR-related effect is a result of the possible degree of regulatory freedom provided by the miR effects on the whole functional complex structure. This degree of regulatory freedom defines to which extent the cellular functional complex can react in response to regulatory triggers, also understood as sensitization (more regulatory response options) or de-sensitization (less regulatory response options) of the system rather than single molecules.
authors.affiliation: University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Martinistr. 52, Building O24, 20246, Hamburg, Germany. j.haier@uke.de.
authors.forename: Jörg
authors.initials: J
authors.lastname: Haier
authors.affiliation: Comprehensive Cancer Center Münster (CCCM), University Hospital Münster, Münster, Germany.
authors.forename: Anda
authors.initials: A
authors.lastname: Ströse
authors.affiliation: Comprehensive Cancer Center Münster (CCCM), University Hospital Münster, Münster, Germany.
authors.forename: Christiane
authors.initials: C
authors.lastname: Matuszcak
authors.affiliation: Comprehensive Cancer Center Münster (CCCM), University Hospital Münster, Münster, Germany.
authors.forename: Richard
authors.initials: R
authors.lastname: Hummel
mesh_terms: D000818:Animals; D002471:Cell Transformation, Neoplastic / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D008954:Models, Biological; D005810:Multigene Family; D009369:Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000378:metabolism* / Q000628:therapy; D011379:Prognosis; D034622:RNA Interference; D014158:Transcription, Genetic; D059467:Transcriptome; D016896:Treatment Outcome
chemical_list: D035683:MicroRNAs
keywords: Cancer; Cell functions; Clinical cohorts; Expression; Transcriptional regulation; miR-23-24-27 cluster