Hide metadata

dc.date.accessioned2021-01-18T20:32:56Z
dc.date.available2021-01-18T20:32:56Z
dc.date.created2021-01-11T14:12:40Z
dc.date.issued2020
dc.identifier.citationLopes-ramos, Camila Chen, Cho-Yi Kuijjer, Marieke Lydia Paulson, Joseph N. Sonawane, Abhijeet Fagny, Maud Platig, John Glass, Kimberly Quackenbush, John DeMeo, Dawn L. . Sex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues. Cell reports. 2020
dc.identifier.urihttp://hdl.handle.net/10852/82326
dc.description.abstractSex differences manifest in many diseases and may drive sex-specific therapeutic responses. To understand the molecular basis of sex differences, we evaluated sex-biased gene regulation by constructing sample-specific gene regulatory networks in 29 human healthy tissues using 8,279 whole-genome expression profiles from the Genotype-Tissue Expression (GTEx) project. We find sex-biased regulatory network structures in each tissue. Even though most transcription factors (TFs) are not differentially expressed between males and females, many have sex-biased regulatory targeting patterns. In each tissue, genes that are differentially targeted by TFs between the sexes are enriched for tissue-related functions and diseases. In brain tissue, for example, genes associated with Parkinson’s disease and Alzheimer’s disease are targeted by different sets of TFs in each sex. Our systems-based analysis identifies a repertoire of TFs that play important roles in sex-specific architecture of gene regulatory networks, and it underlines sex-specific regulatory processes in both health and disease.
dc.languageEN
dc.publisherCell Press
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleSex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues
dc.typeJournal article
dc.creator.authorLopes-ramos, Camila
dc.creator.authorChen, Cho-Yi
dc.creator.authorKuijjer, Marieke Lydia
dc.creator.authorPaulson, Joseph N.
dc.creator.authorSonawane, Abhijeet
dc.creator.authorFagny, Maud
dc.creator.authorPlatig, John
dc.creator.authorGlass, Kimberly
dc.creator.authorQuackenbush, John
dc.creator.authorDeMeo, Dawn L.
cristin.unitcode185,57,55,0
cristin.unitnameMarieke Kuijjer Group - Computational Biology and Systems Medicine
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1869085
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Cell reports&rft.volume=&rft.spage=&rft.date=2020
dc.identifier.jtitleCell reports
dc.identifier.volume31
dc.identifier.issue12
dc.identifier.doihttps://doi.org/10.1016/j.celrep.2020.107795
dc.identifier.urnURN:NBN:no-85224
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2211-1247
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/82326/1/2020-06-23_lopes-ramos_cell_rep.pdf
dc.type.versionPublishedVersion
cristin.articleid107795


Files in this item

Appears in the following Collection

Hide metadata

Attribution-NonCommercial-NoDerivatives 4.0 International
This item's license is: Attribution-NonCommercial-NoDerivatives 4.0 International