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Valentini, C.

Publications and source records attributed to Valentini, C..

2 recordsLinked to original sources

Enhancing hypercompact Cas{Phi}2 activity through EPICA.2, an optimized eukaryotic directed evolution platform

Compact Cas nucleases offer advantages over the widely used SpCas9 due to their smaller size, which enables more efficient delivery for in vivo applications. Among these, the phage-encoded Cas{Phi}2 (Cas12j2) is highly promising due to its relaxed PAM requirement (5-TTN-3) and compact size (757 aa); however, its translational potential is limited by low editing activity. To enhance the efficacy of Cas{Phi}2, we optimized the previously reported EPICA system, developing EPICA.2, a eukaryotic directed evolution platform to improve nucleases with nearly undetectable activity. EPICA.2 integrates additional yeast evolution rounds to enrich for active variants along with a low background mammalian reporter system that improves detection and selection of enhanced variants. Finally, we set up a long-read sequencing protocol which uses unique molecular identifiers (UMIs) to reduce sequencing errors, enabling accurate identification of the mutation combinations in each evolved variant. Among the most frequent variants, we obtained evoCas{Phi}2, which contains six activity-boosting mutations with a synergistic effect not predictable by rational engineering. Overall, evoCas{Phi}2 showed up to 70-fold increased activity in human cells compared to wild-type and outperformed variants generated through rational approaches, highlighting the potential of EPICA.2 as a powerful strategy to evolve genome editing tools with low native activity.

bioengineering↗

A TranSNP in the DDIT4 mRNA can impact its translation efficiency and modulate p53-dependent responses in cancer cells

Relatively few studies have examined the link between SNPs and mRNA translation, despite the established importance of translational regulation in shaping cell phenotypes. We developed a pipeline analyzing the allelic imbalance in total and polysome-bound mRNAs from paired RNA-seq data of HCT116 cells and identified 40 candidate tranSNPs, i.e. SNPs associated with allele-specific translation. Among them, the SNP rs1053639 (T/A) on DNA damage-inducible transcript 4 (DDIT4) 3UTR was identified, with the reference T allele showing a higher polysome association. rs1053639 TT clones generated by genome editing exhibited significantly higher DDIT4 protein levels than AA ones. The difference in DDIT4 proteins was even greater when cells were treated with Thapsigargin or Nutlin, two perturbations that induce DDIT4 transcription. The RNA-binding protein RBMX influenced these allele-dependent differences in DDIT4 protein expression, as shown by RNA-EMSA, RIP, and smiFISH assays. RBMX depletion reduced DDIT4 protein in TT clones to the AA levels. Functionally, TT clones more effectively repressed mTORC1 under ER stress, while AA clones outcompeted TT clones in vitro or when injected in zebrafish embryos. RBMX depletion increased the fitness of TT cells in co-culture experiments. The rs1053639 AA genotype, under a recessive model, correlates with poor prognosis in TCGA cancer data. Key points- Translatome analysis in HCT116 cells revealed allele-specific mRNA translation for 40 SNPs - rs1053639 (T/A) in DDIT4 3UTR showed allelic differences in mRNA localization & protein expression - AA cells showed weaker mTOR inhibition & higher proliferation; AA individuals had poorer prognosis

molecular biology↗