Spanish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Data in Brief 2019-Feb

Gene ontology analysis of transcriptome data from DMBA-induced mammary tumors of rats fed a high-corn oil and a high-extra virgin olive oil diet.

Solo los usuarios registrados pueden traducir artículos
Iniciar sesión Registrarse
El enlace se guarda en el portapapeles.
Raquel Escrich
Marta Cubedo
Eduard Escrich
Raquel Moral

Palabras clave

Abstracto

Breast cancer is the most common malignancy in women worldwide, and dietary lipids are important environmental factors influencing its etiology. In this work we present data in relation to the transcriptional effects of two high-fat diets, one high in corn oil (HCO) and one high in extra-virgin olive oil (HOO), administered from weaning or after induction, on 7,12-dimethylbenz(a)anthracene (DMBA)-induced rat mammary tumors. Raw data were deposited at ArrayExpress under accession number E-MTAB-3541. We compared the gene expression profiles of the mammary tumors from the high-fat diet groups with those from the control group, finding different effects of diets depending on timing and type of dietary intervention. Lists of differentially expressed genes were analyzed to find overrepresented categories of biological significance. Here we provide information about the cell functions categories overrepresented in significantly modulated genes by effect of the high-fat diets. Further investigations of such functions are described in "A high corn oil diet strongly stimulates mammary carcinogenesis, while a high extra virgin olive oil diet has a weak effect, through changes in metabolism, immune system function, and proliferation/apoptosis pathways" (Escrich et al., in press) [1].

Únete a nuestra
página de facebook

La base de datos de hierbas medicinales más completa respaldada por la ciencia

  • Funciona en 55 idiomas
  • Curas a base de hierbas respaldadas por la ciencia
  • Reconocimiento de hierbas por imagen
  • Mapa GPS interactivo: etiquete hierbas en la ubicación (próximamente)
  • Leer publicaciones científicas relacionadas con su búsqueda
  • Buscar hierbas medicinales por sus efectos.
  • Organice sus intereses y manténgase al día con las noticias de investigación, ensayos clínicos y patentes.

Escriba un síntoma o una enfermedad y lea acerca de las hierbas que podrían ayudar, escriba una hierba y vea las enfermedades y los síntomas contra los que se usa.
* Toda la información se basa en investigaciones científicas publicadas.

Google Play badgeApp Store badge