Transcriptional effects of copy number alterations in a large set of human cancers

Copy number alterations (CNAs) can drive tumor progression in cancer by altering gene expression levels, but transcriptional adaption can skew CNA impact. Here, the authors present transcriptional adaptation to CNA (TACNA) profiling; a tool to extract the transcriptional effect of CNAs from expressi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Arkajyoti Bhattacharya, Rico D. Bense, Carlos G. Urzúa-Traslaviña, Elisabeth G. E. de Vries, Marcel A. T. M. van Vugt, Rudolf S. N. Fehrmann
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Q
Acceso en línea:https://doaj.org/article/8a30eeb79fbb4839b329f70a9a9b4653
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:8a30eeb79fbb4839b329f70a9a9b4653
record_format dspace
spelling oai:doaj.org-article:8a30eeb79fbb4839b329f70a9a9b46532021-12-02T16:56:34ZTranscriptional effects of copy number alterations in a large set of human cancers10.1038/s41467-020-14605-52041-1723https://doaj.org/article/8a30eeb79fbb4839b329f70a9a9b46532020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14605-5https://doaj.org/toc/2041-1723Copy number alterations (CNAs) can drive tumor progression in cancer by altering gene expression levels, but transcriptional adaption can skew CNA impact. Here, the authors present transcriptional adaptation to CNA (TACNA) profiling; a tool to extract the transcriptional effect of CNAs from expression data without requiring paired CNA profiles.Arkajyoti BhattacharyaRico D. BenseCarlos G. Urzúa-TraslaviñaElisabeth G. E. de VriesMarcel A. T. M. van VugtRudolf S. N. FehrmannNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Arkajyoti Bhattacharya
Rico D. Bense
Carlos G. Urzúa-Traslaviña
Elisabeth G. E. de Vries
Marcel A. T. M. van Vugt
Rudolf S. N. Fehrmann
Transcriptional effects of copy number alterations in a large set of human cancers
description Copy number alterations (CNAs) can drive tumor progression in cancer by altering gene expression levels, but transcriptional adaption can skew CNA impact. Here, the authors present transcriptional adaptation to CNA (TACNA) profiling; a tool to extract the transcriptional effect of CNAs from expression data without requiring paired CNA profiles.
format article
author Arkajyoti Bhattacharya
Rico D. Bense
Carlos G. Urzúa-Traslaviña
Elisabeth G. E. de Vries
Marcel A. T. M. van Vugt
Rudolf S. N. Fehrmann
author_facet Arkajyoti Bhattacharya
Rico D. Bense
Carlos G. Urzúa-Traslaviña
Elisabeth G. E. de Vries
Marcel A. T. M. van Vugt
Rudolf S. N. Fehrmann
author_sort Arkajyoti Bhattacharya
title Transcriptional effects of copy number alterations in a large set of human cancers
title_short Transcriptional effects of copy number alterations in a large set of human cancers
title_full Transcriptional effects of copy number alterations in a large set of human cancers
title_fullStr Transcriptional effects of copy number alterations in a large set of human cancers
title_full_unstemmed Transcriptional effects of copy number alterations in a large set of human cancers
title_sort transcriptional effects of copy number alterations in a large set of human cancers
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/8a30eeb79fbb4839b329f70a9a9b4653
work_keys_str_mv AT arkajyotibhattacharya transcriptionaleffectsofcopynumberalterationsinalargesetofhumancancers
AT ricodbense transcriptionaleffectsofcopynumberalterationsinalargesetofhumancancers
AT carlosgurzuatraslavina transcriptionaleffectsofcopynumberalterationsinalargesetofhumancancers
AT elisabethgedevries transcriptionaleffectsofcopynumberalterationsinalargesetofhumancancers
AT marcelatmvanvugt transcriptionaleffectsofcopynumberalterationsinalargesetofhumancancers
AT rudolfsnfehrmann transcriptionaleffectsofcopynumberalterationsinalargesetofhumancancers
_version_ 1718382810349174784