bioRxivSynthetic BiologyPreprint
Combinatorial and Inducible CRISPRa/i Enables Canalized hiPSC Forward Programming and Iterative Refinement via Single-Cell Genomics
Federica SozzaiD, Alberto RomanoiD, Nicole D'Elia, Martina Terenzi, Maria Luisa RattoiD, Emily R. CliffiD, Gabrielle NattenbergiD, S D BianchiiD, Silvia BeccaiD, Heather Klug, Davide CacchiarelliiD, Elisa BalmasiD, Jesse G. ZalataniD, Alessandro BerteroiD
Abstract
Synthetic gene-regulation logic is established in immortalized cell lines but remains largely aspirational in human induced pluripotent stem cells (hiPSCs) and derivatives. This gap constrains both mechanistic discovery and translational engineering in physiologically relevant models. We developed CIRI (Combinatorial Inducible CRISPR in IPSCs), an isogenic, safe-harbor-engineered platform in which tetracycline-responsive single guide RNAs (sgR-NAs) carry modular RNA aptamers that recruit RNA-binding proteins and effector domains. This design enables multimodal regulation from a single catalytically inactive Cas9 (dCas9), exemplified by orthogonal CRISPR activation and interference (CRISPRa/i). After optimizing sgRNA-aptamer architectures, we achieved robust CRISPRa and CRISPRi in hiPSCs and hiPSC-derived cardiac organoids. CIRI rapidly channels hiPSC forward programming into skeletal myocytes by activating MYOD1 while repressing NANOG, POU5F1/OCT4, and SOX2. Combinatorial pooled dual-guide single-cell RNA sequencing screens identify ID3 as a road-block and KDM6B and SMARCD3 as synergistic enhancers of myogenic maturation. Together, CIRI establishes a programmable synthetic biology framework in human stem cell models. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/729073v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@18ce445org.highwire.dtl.DTLVardef@de8d94org.highwire.dtl.DTLVardef@1212763org.highwire.dtl.DTLVardef@1a0d83d_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: perturbation response prediction
- approach: experimental assay
- Citations
- 0
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