Lower connectivity of tumor coexpression networks is not specific to cancer

Simple item page
buir.contributor.authorKonu, Özlen
dc.citation.epage53en_US
dc.citation.issueNumber1-2en_US
dc.citation.spage41en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorDalgıç, E.en_US
dc.contributor.authorKonu, Özlenen_US
dc.contributor.authorSafi Öz, Z.en_US
dc.contributor.authorChan, C.en_US
dc.date.accessioned2020-02-06T13:32:34Z
dc.date.available2020-02-06T13:32:34Z
dc.date.issued2019-05
dc.departmentDepartment of Molecular Biology and Geneticsen_US
dc.description.abstractGlobal level network analysis of molecular links is necessary for systems level view of complex diseases like cancer. Using genome-wide expression datasets, we constructed and compared gene co-expression based specific networks of pre-cancerous tumors (adenoma) and cancerous tumors (carcinoma) with paired normal networks to assess for any possible changes in network connectivity. Previously, loss of connectivity was reported as a characteristic of cancer samples. Here, we observed that pre-cancerous conditions also had significantly less connections than paired normal samples. We observed a loss of connectivity trend for colorectal adenoma, aldosterone producing adenoma and uterine leiomyoma. We also showed that the loss of connectivity trend is not specific to positive or negative correlation based networks. Differential hub genes, which were the most highly differentially less connected genes in tumor, were mostly different between different datasets. No common gene list could be defined which underlies the lower connectivity of tumor specific networks. Connectivity of colorectal cancer methylation targets was different from other genes. Extracellular space related terms were enriched in negative correlation based differential hubs and common methylation targets of colorectal carcinoma. Our results indicate a systems level change of lower connectivity as cells transform to not only cancer but also pre-cancerous conditions. This systems level behavior could not be attributed to a group of genes.en_US
dc.description.provenanceSubmitted by Evrim Ergin (eergin@bilkent.edu.tr) on 2020-02-06T13:32:34Z No. of bitstreams: 1 Lower_connectivity_of_tumor_coexpression_networks_is_not_specific_to_cancer.pdf: 1262860 bytes, checksum: e9d7bdf3a9ed4c577202357c21fe4983 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-02-06T13:32:34Z (GMT). No. of bitstreams: 1 Lower_connectivity_of_tumor_coexpression_networks_is_not_specific_to_cancer.pdf: 1262860 bytes, checksum: e9d7bdf3a9ed4c577202357c21fe4983 (MD5) Previous issue date: 2019-05en
dc.identifier.doi10.3233/ISB-190472en_US
dc.identifier.eissn1434-3207
dc.identifier.issn1386-6338
dc.identifier.urihttp://hdl.handle.net/11693/53145
dc.language.isoEnglishen_US
dc.publisherIOPen_US
dc.relation.isversionofhttps://dx.doi.org/10.3233/ISB-190472en_US
dc.source.titleIn Silico Biologyen_US
dc.subjectColorectal canceren_US
dc.subjectNetwork analysisen_US
dc.subjectGene co-expressionen_US
dc.subjectSystems biologyen_US
dc.titleLower connectivity of tumor coexpression networks is not specific to canceren_US
dc.typeArticleen_US

Files

Collections

Department of Molecular Biology and Genetics