An in-silico approach to predict and exploit synthetic lethality in cancer metabolism

Exploiting synthetic lethality is a promising approach for cancer therapy. Here, the authors present an approach to identifying such interactions by finding genetic minimal cut sets (gMCSs) that block cancer proliferation, and apply it to study the lethality of RRM1 inhibition in multiple myeloma.

Guardado en:

Detalles Bibliográficos
Autores principales:	Iñigo Apaolaza, Edurne San José-Eneriz, Luis Tobalina, Estíbaliz Miranda, Leire Garate, Xabier Agirre, Felipe Prósper, Francisco J. Planes
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ef8cc22898f64ca2b56b0ae347ed3a4f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ef8cc22898f64ca2b56b0ae347ed3a4f
record_format	dspace
spelling	oai:doaj.org-article:ef8cc22898f64ca2b56b0ae347ed3a4f2021-12-02T15:39:01ZAn in-silico approach to predict and exploit synthetic lethality in cancer metabolism10.1038/s41467-017-00555-y2041-1723https://doaj.org/article/ef8cc22898f64ca2b56b0ae347ed3a4f2017-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00555-yhttps://doaj.org/toc/2041-1723Exploiting synthetic lethality is a promising approach for cancer therapy. Here, the authors present an approach to identifying such interactions by finding genetic minimal cut sets (gMCSs) that block cancer proliferation, and apply it to study the lethality of RRM1 inhibition in multiple myeloma.Iñigo ApaolazaEdurne San José-EnerizLuis TobalinaEstíbaliz MirandaLeire GarateXabier AgirreFelipe PrósperFrancisco J. PlanesNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Iñigo Apaolaza Edurne San José-Eneriz Luis Tobalina Estíbaliz Miranda Leire Garate Xabier Agirre Felipe Prósper Francisco J. Planes An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
description	Exploiting synthetic lethality is a promising approach for cancer therapy. Here, the authors present an approach to identifying such interactions by finding genetic minimal cut sets (gMCSs) that block cancer proliferation, and apply it to study the lethality of RRM1 inhibition in multiple myeloma.
format	article
author	Iñigo Apaolaza Edurne San José-Eneriz Luis Tobalina Estíbaliz Miranda Leire Garate Xabier Agirre Felipe Prósper Francisco J. Planes
author_facet	Iñigo Apaolaza Edurne San José-Eneriz Luis Tobalina Estíbaliz Miranda Leire Garate Xabier Agirre Felipe Prósper Francisco J. Planes
author_sort	Iñigo Apaolaza
title	An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
title_short	An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
title_full	An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
title_fullStr	An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
title_full_unstemmed	An in-silico approach to predict and exploit synthetic lethality in cancer metabolism
title_sort	in-silico approach to predict and exploit synthetic lethality in cancer metabolism
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/ef8cc22898f64ca2b56b0ae347ed3a4f
work_keys_str_mv	AT inigoapaolaza aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT edurnesanjoseeneriz aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT luistobalina aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT estibalizmiranda aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT leiregarate aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT xabieragirre aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT felipeprosper aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT franciscojplanes aninsilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT inigoapaolaza insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT edurnesanjoseeneriz insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT luistobalina insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT estibalizmiranda insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT leiregarate insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT xabieragirre insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT felipeprosper insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism AT franciscojplanes insilicoapproachtopredictandexploitsyntheticlethalityincancermetabolism
_version_	1718386026023485440

An in-silico approach to predict and exploit synthetic lethality in cancer metabolism

Ejemplares similares