The META-CYCLE project evolved strategically from its original design, successfully integrating bioinformatics, metabolomics, cell biology, and advanced imaging to achieve breakthrough discoveries.
Phase 1 — Bioinformatics Discovery (Months 1–8): Rather than beginning with planned metabolomic characterisation, the project initiated with an unbiased computational screening of the DepMap database. A sophisticated bioinformatics pipeline was developed integrating gene expression data from cancer cell lines and patient samples, protein interaction databases, replication fork proteomics, and CRISPR dependency datasets. Two novel metabolic enzymes were identified as strong candidates for direct involvement in DNA replication control, with predicted functional connections to the core replisome components PCNA (Proliferating Cell Nuclear Antigen) and POLA1 (DNA Polymerase α).
Phase 2 — Functional Validation (Months 6–18): Experimental validation in multiple cancer cell lines (U2OS, HeLa, U87-MG, T98G) and normal controls (RPE1) revealed that glycolytic candidates directly regulate DNA synthesis. Key discoveries included: (i) direct modulation of PCNA activity—the first demonstration of metabolic enzyme involvement in core replisome function; (ii) a quality-control mechanism whereby these enzymes limit ssDNA accumulation at replication forks; (iii) impaired Okazaki fragment processing upon their depletion; and (iv) disrupted RPA phosphorylation dynamics. A dual perturbation strategy (combining pharmacological and genetic glycolysis modulation with direct replication machinery manipulation) and a sophisticated single-cell resolution imaging pipeline were developed and validated.
Phase 3 — Integration and Metabolomic Validation (Months 10–24): Bidirectional communication between replication stress and glycolytic flux was established, revealing a sophisticated regulatory circuit rather than simple one-way control. Preliminary glioblastoma data indicate heightened dependency of cancer cells on glycolytic-replication coupling relative to normal cells.