2017
DOI: 10.1039/c6mb00672h
|View full text |Cite
|
Sign up to set email alerts
|

Inference of cancer mechanisms through computational systems analysis

Abstract: Large amounts of metabolomics data have been accumulated to study metabolic alterations in cancer that allow cancer cells to synthesize molecular materials necessary for cell growth and proliferation. Although metabolic reprogramming in cancer was discovered almost a century ago, the underlying biochemical mechanisms are still unclear. We show that metabolomics data can be used to infer likely biochemical mechanisms associated with cancer. The proposed inference method is data-driven and quite generic; its eff… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
12
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 16 publications
(13 citation statements)
references
References 25 publications
(27 reference statements)
1
12
0
Order By: Relevance
“…The relative importance of salvage versus de novo synthesis likely depend on the growth conditions and on the specific tissue. Recently it has ben argued that salvage pathways are very important in colorectal cancers for example, albeit without the assistance of isotope tracers (221). …”
Section: Stable Isotope Tracing Of Nucleotide Synthesismentioning
confidence: 99%
“…The relative importance of salvage versus de novo synthesis likely depend on the growth conditions and on the specific tissue. Recently it has ben argued that salvage pathways are very important in colorectal cancers for example, albeit without the assistance of isotope tracers (221). …”
Section: Stable Isotope Tracing Of Nucleotide Synthesismentioning
confidence: 99%
“…The relative importance of salvage versus de novo synthesis likely depends on the growth conditions and on the tissue specificity. Recently, it has been published that salvage pathways are very important for surviving and proliferation of cancer cells in colorectal cancers (Qi and Voit 2014).…”
Section: Discussionmentioning
confidence: 99%
“…The resulting flux models do not provide individual enzyme/transporter kinetics, nor can the model predict flux changes in response to perturbations of participant proteins. The KMA approaches require a full set of enzyme/ transporter kinetic parameters to solve sets of differential equations either at steady state, or under non-steady state conditions [165][166][167][168][169][170][171][172][173]. The models established provide individual enzymes/transporter kinetics and can predict how metabolic networks respond to changes in protein components.…”
Section: Informatics Needs For Pathway Mapping and Analysismentioning
confidence: 99%