Journal: The Innovation
Article Title: mRNA-engineered CRISPR-Cas epigenetic editors enable durable and efficient gene silencing in vivo
doi: 10.1016/j.xinn.2025.101151
Figure Lengend Snippet: In vitro screening and multi-omics specificity of Pcsk9 -targeting editors in mouse liver cells (A and B) Evaluation of EGFP silencing in reporter cells 21 days after treatment with SpCas9-OFF-EE and multiplexed sgRNAs (A) or SF01-OFF-EE and multiplexed crRNAs (B). Data are the mean ± SD ( n = 3). (C and D) Corresponding quantification of CpG methylation at the Pcsk9 promoter for the treatments in (C) and (D). Data are the mean ± SD ( n = 3). (E) Quantification of secreted PCSK9 protein from Hepa1-6 cells 21 days after treatment with various editors, measured by ELISA and normalized to mock controls. Data represent the mean of triplicate measurements. (F) Bar plot of global CpG methylation levels determined by WGBS, showing no significant global changes across treatments ( n = 3). (G) CpG methylation profiles across the Pcsk9 locus in Hepa1-6 cells treated with different editor constructs, showing targeted hypermethylation at the CGI (yellow rectangle). (H and I) Manhattan plots of genome-wide methylation changes (WGBS) comparing SpCas9-OFF-EE- (H) or SF01-OFF-EE- (I) treated cells to mock controls. Benjamini-Hochberg false discovery rate (FDR)-adjusted p values (DSS Wald test, two-sided) for each CpG are plotted against their genomic coordinates. Differentially methylated CpGs (DMCs) within the Pcsk9 differentially methylated region (DMR) are shown in red. The DMR threshold was set as a p value (DSS Wald test, two-sided, unadjusted) < 1 × 10 −10 . (J) Volcano plots from RNA-seq analyses showing differentially expressed genes (DEGs) from RNA-seq analysis for SpCas9-OFF-EE (left) and SF01-OFF-EE (right) treatments ( n = 3 per experimental condition). p values were from the Wald test for binomial distributions, adjusted for multiple testing using the Benjamini-Hochberg method. The horizontal dashed line indicates the threshold on the adjusted p value (FDR ≤ 0.05), and the vertical dashed lines represent the threshold on |log2 FC| ≥ 1. Upregulated genes are in red, downregulated genes are in light blue, and non-DEGs are in gray. The Pcsk9 gene is indicated. (K and L) Scatterplots correlating methylation changes of DMRs with gene expression changes for SpCas9-OFF-EE (K) and SF01-OFF-EE (L). The analysis highlights that Pcsk9 (blue dot) is the primary target with both significant hypermethylation and transcriptional repression. Off-target DMR-associated gene expression changes are shown in cyan. The Pcsk9 gene is highlighted in blue. Thresholds (gray dashed lines) are set as a methylation (beta value) difference > 0.2 or < −0.2 and RNA-seq log2FC > 1 or < −1.
Article Snippet: Serum was separated by centrifugation at 2,000 × g for 120 min. PCSK9 levels were determined by ELISA using the Mouse PCSK9 ELISA Kit (Proteintech, KE10050) following the manufacturer’s instructions.
Techniques: In Vitro, Biomarker Discovery, CpG Methylation Assay, Enzyme-linked Immunosorbent Assay, Construct, Genome Wide, Methylation, RNA Sequencing, Gene Expression