Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
Metabolomic profiling of mouse mammary tumor derived cell lines reveals targeted therapy options for cancer subtypes
Goto
Sponge
NotDistinct
Permalink
An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Metabolomic profiling of mouse mammary tumor derived cell lines reveals targeted therapy options for cancer subtypes
Creator
Lansing, M
Phone,
source
BioRxiv
abstract
Breast cancer is a heterogeneous disease with several subtypes that currently do not have targeted therapy options. Metabolomics has the potential to uncover novel targeted treatment strategies by identifying metabolic pathways required for cancer cells to survive and proliferate. Here, we used tumor-derived cell lines derived from the MMTV-Myc mouse model to investigate metabolic pathways that are differentially utilized between two subtypes of breast cancer. Using mass spectrometry-based metabolomics techniques, we identified differences in glycolysis, the tricarboxylic acid cycle, glutathione metabolism, and nucleotide metabolism between subtypes. We further show the feasibility of targeting these pathways in a subtype-specific manner using metabolism-targeting compounds.
has issue date
2019-10-07
(
xsd:dateTime
)
bibo:doi
10.1101/796573
has license
biorxiv
sha1sum (hex)
aaa376322aacf7fc2195fb1ddf3bc31632bd4d97
schema:url
https://doi.org/10.1101/796573
resource representing a document's title
Metabolomic profiling of mouse mammary tumor derived cell lines reveals targeted therapy options for cancer subtypes
schema:publication
bioRxiv
resource representing a document's body
covid:aaa376322aacf7fc2195fb1ddf3bc31632bd4d97#body_text
is
schema:about
of
named entity 'targeted'
named entity 'cancer'
named entity 'survive'
named entity 'mouse'
named entity 'therapy'
»more»
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 2
Go
Faceted Search & Find service v1.13.91 as of Mar 24 2020
Alternative Linked Data Documents:
Sponger
|
ODE
Content Formats:
RDF
ODATA
Microdata
About
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software