Cel
Metabolism generates vast quantities of acid, which exerts broad-spectrum biological effects because protein protonation is a powerful post-translational modification. Regulation of intracellular pH (pHi) is therefore a homeostatic priority, but carefully orchestrated proton dynamics are a versatile signal.
Extracellular acidity is an established chemical signature of tumours and has recently been proposed to convey a signal that shapes the phenotypic landscape of cancer. Cancers genetic instability yields diversity in acid handling and signalling, forming a substrate for selection under acid-stress. This is a plausible mechanism for disease progression and an analogy can be drawn to experimentally-verified hypoxic selection.
Current models of acid handling in cancer are, however, based on population-averages of observations made at the cell level. This fails to appreciate diversity and the complexity inherent in tissues. We will produce a more complete understanding of acid handling that accounts for diffusive transport across tissue compartments and the role of the tumour stroma. A systems-approach of characterising pH-regulatory processes cell-by-cell will identify which components are liable to vary, and thus are a substrate for acid-driven somatic evolution.
The long-term effects of proton signals on gene expression have not been tested, despite evidence for proton-sensing transcription factors. To address the mechanism for adaptation to acid-stress, proton-sensing transcription factors will be characterised from studies of gene expression under chemically and optogenetically operated pH stimuli.
The definition of a cells fitness to survive at a particular microenvironment pH and its relationship with stemness remain unclear. Phenotyping pHi-gated subpopulations in terms of growth, stemness and tumourigenicity will define pH-fitness and its role in aggressiveness. In evolving to survive metabolism, cancer cells may acquire the ability to thrive in new niches.
Dziedzina nauki (EuroSciVoc)
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego.
- nauki przyrodniczenauki biologicznebiochemiabiocząsteczkibiałka
- medycyna i nauki o zdrowiumedycyna klinicznaonkologia
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ERC-COG - Consolidator GrantInstytucja przyjmująca
OX1 2JD Oxford
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