METLINK | METLINK: Identification of links between cancer cell growth and metabolism genes.

Summary
Metabolism is crucial for cellular survival. The large amount of evidence covering metabolic entries is mainly about the
enzymatic processes and single reactions happening within the metabolic map, but there is poorer understanding of the
cellular growth signaling network and regulation around metabolism. With METLINK we aim at identifying new and
previously undiscovered selective links between metabolic genes and cellular growth pro-survival mechanisms. The hits will
be identified with the use of a pooled libraries of CRISPR/Cas9 lentiviral vectors against metabolic genes and cell cycle/
cancer genes. The metabolic library targets will be divided into sub-pools (carbohydrate metabolism: 245; inositol metabolism and lipid metabolism: 571; tricarboxylic acid (TCA) cycle, respiratory chain, integration energy metabolism: 240; nucleotide metabolism, vitamin synthesis and biological oxidations: 361; amino acid metabolism and protein processing: 667; others: 355) and therefore be amenable to medium-throughput screening and selected metabolic processes interrogation. The cancer/cell cycle genes target will be approximately 500 genes. The screening will be initially performed on the human fibroblasts BJ and IMR90, easier to genetically modify, and later validated in other relevant cancer cell line. This will result in the identification of new Achilles’ heels in cancer within metabolism and propose new druggable targets. They will be validated and screened with a library of compounds actually present at SciLifeLab within Karolinska Institute. Lately this proposal will elucidate potential links between oncogenes or cellular growth genes and metabolic genes providing new avenues for treatment within metabolic reactions.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/794177
Start date: 01-10-2018
End date: 31-12-2020
Total budget - Public funding: 158 121,60 Euro - 158 121,00 Euro
Cordis data

Original description

Metabolism is crucial for cellular survival. The large amount of evidence covering metabolic entries is mainly about the
enzymatic processes and single reactions happening within the metabolic map, but there is poorer understanding of the
cellular growth signaling network and regulation around metabolism. With METLINK we aim at identifying new and
previously undiscovered selective links between metabolic genes and cellular growth pro-survival mechanisms. The hits will
be identified with the use of a pooled libraries of CRISPR/Cas9 lentiviral vectors against metabolic genes and cell cycle/
cancer genes. The metabolic library targets will be divided into sub-pools (carbohydrate metabolism: 245; inositol metabolism and lipid metabolism: 571; tricarboxylic acid (TCA) cycle, respiratory chain, integration energy metabolism: 240; nucleotide metabolism, vitamin synthesis and biological oxidations: 361; amino acid metabolism and protein processing: 667; others: 355) and therefore be amenable to medium-throughput screening and selected metabolic processes interrogation. The cancer/cell cycle genes target will be approximately 500 genes. The screening will be initially performed on the human fibroblasts BJ and IMR90, easier to genetically modify, and later validated in other relevant cancer cell line. This will result in the identification of new Achilles’ heels in cancer within metabolism and propose new druggable targets. They will be validated and screened with a library of compounds actually present at SciLifeLab within Karolinska Institute. Lately this proposal will elucidate potential links between oncogenes or cellular growth genes and metabolic genes providing new avenues for treatment within metabolic reactions.

Status

TERMINATED

Call topic

MSCA-IF-2017

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2017
MSCA-IF-2017