2020
DOI: 10.1101/2020.03.13.973321
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Lipogenesis and innate immunity in hepatocellular carcinoma cells reprogrammed by an isoenzyme switch of hexokinases

Abstract: Hexokinases catalyse the first step of glycolysis by phosphorylating glucose. In the liver, normal hepatocytes express the low-affinity hexokinase 4, also known as glucokinase (GCK), which is adapting hepatocyte function to glycaemia. Conversely, hepatocellular carcinoma (HCC) cells express the high-affinity hexokinase 2 (HK2) to sustain tumour proliferation even at low glucose concentrations. The analysis of transcriptomic data from human HCC tumours shows that GCK and HK2 expression levels are inversely corr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1
1

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 75 publications
0
2
0
Order By: Relevance
“…The connectivity of such a subgraph compared to randomly drawn gene sets is a convenient and frequently employed measure for SC/FC correlations in this context [7,[134][135][136], as it addresses the statistical question, how clustered such a gene set (representing functional connectivity) is within a given (metabolic) network (representing structural connectivity).…”
Section: Application To Systems Biologymentioning
confidence: 99%
“…The connectivity of such a subgraph compared to randomly drawn gene sets is a convenient and frequently employed measure for SC/FC correlations in this context [7,[134][135][136], as it addresses the statistical question, how clustered such a gene set (representing functional connectivity) is within a given (metabolic) network (representing structural connectivity).…”
Section: Application To Systems Biologymentioning
confidence: 99%
“…The connectivity of such a subgraph compared to randomly drawn gene sets is a convenient and frequently employed measure for SC/FC correlations in this context [7,[138][139][140], as it addresses the statistical question of how clustered such a gene set (representing functional connectivity) is within a given (metabolic) network (representing structural connectivity).…”
Section: Application To Systems Biologymentioning
confidence: 99%