scholarly journals PEPCK Coordinates the Regulation of Central Carbon Metabolism to Promote Cancer Cell Growth

2015 ◽  
Vol 60 (4) ◽  
pp. 571-583 ◽  
Author(s):  
Emily D. Montal ◽  
Ruby Dewi ◽  
Kavita Bhalla ◽  
Lihui Ou ◽  
Bor Jang Hwang ◽  
...  
eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Rosemary Yu ◽  
Egor Vorontsov ◽  
Carina Sihlbom ◽  
Jens Nielsen

In addition to controlled expression of genes by specific regulatory circuits, the abundance of proteins and transcripts can also be influenced by physiological states of the cell such as growth rate and metabolism. Here we examine the control of gene expression by growth rate and metabolism, by analyzing a multi-omics dataset consisting of absolute-quantitative abundances of the transcriptome, proteome, and amino acids in 22 steady-state yeast cultures. We find that transcription and translation are coordinately controlled by the cell growth rate via RNA polymerase II and ribosome abundance, but they are independently controlled by nitrogen metabolism via amino acid and nucleotide availabilities. Genes in central carbon metabolism, however, are distinctly regulated and do not respond to the cell growth rate or nitrogen metabolism as all other genes. Understanding these effects allows the confounding factors of growth rate and metabolism to be accounted for in gene expression profiling studies.


2020 ◽  
Author(s):  
Rosemary Yu ◽  
Egor Vorontsov ◽  
Carina Sihlbom ◽  
Jens Nielsen

AbstractIn addition to specific regulatory circuits, gene expression is also regulated by global physiological cues such as the cell growth rate and metabolic parameters. Here we examine these global control mechanisms by analyzing an orthogonal multi-omics dataset consisting of absolute-quantitative abundances of the transcriptome, proteome, and intracellular amino acids in 22 steady-state yeast cultures. Our model indicates that transcript and protein abundance are coordinately controlled by the cell growth rate via RNA polymerase II and ribosome abundance, but are independently controlled by metabolic parameters relating to amino acid and nucleotide availability. Genes in central carbon metabolism, however, are regulated independently of these global physiological cues. Our findings can be used to augment gene expression profiling analyses in the distantly related yeast Schizosaccharomyces pombe and a human cancer cell model. Our results provide a framework to analyze gene expression profiles to gain novel biological insights, a key goal of systems biology.


2006 ◽  
Vol 175 (4S) ◽  
pp. 257-257
Author(s):  
Jennifer Sung ◽  
Qinghua Xia ◽  
Wasim Chowdhury ◽  
Shabana Shabbeer ◽  
Michael Carducci ◽  
...  

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
F Epifano ◽  
S Genovese ◽  
P Lullo ◽  
S Fiorito ◽  
G Trivisonno ◽  
...  

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