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Toubin, M.

Publications and source records attributed to Toubin, M..

2 recordsLinked to original sources

Small GTPases RhoA and RhoC coordinately regulate cardiomyocyte size in the mouse heart

Rho family GTPases regulate cardiomyocyte growth and cytoskeletal organization, yet the overlapping and individual function of the two primary isoforms RhoA and RhoC, remain largely unknown in the heart. Here, we examined cardiac structure and function at baseline and in response to mechanical and neurohumoral stress in mice with cardiomyocyte-specific deletion of Rhoa, global loss of Rhoc, or combined deficiency of both isoforms. Deletion of either Rhoa or Rhoc increased myocardial expression of the other isoform, showing reciprocal compensation. At baseline, Rhoc deficiency produced elongated, narrower cardiomyocytes, whereas additional loss of Rhoa restored cell width but length remained longer. Combined Rhoa/Rhoc deficiency also disrupted intercalated disc protein expression and organization and caused age-dependent cardiac hypertrophy with mild pulmonary congestion despite preserved systolic function. Following pressure overload, loss of either isoform increased hypertrophy and fibrosis compared with control groups, while combining Rhoa/Rhoc deficiency significantly worsened cardiac remodeling and systolic dysfunction. Neurohumoral stimulation with angiotensin II and phenylephrine similarly revealed cooperative control of hypertrophic growth in Rhoa/Rhoc double deleted cardiomyocytes versus either single deletion. These findings identify RhoA and RhoC as partially compensatory effectors of cardiomyocyte growth and ventricular remodeling with stress stimulation, although their individual contributions to hypertrophic growth, structural integrity, and cardiac function depend on both the nature and duration of cardiac stress.

cell biology↗

eSPLIT and iSWAP: CRISPR-Mediated Conditional Allele Engineering with Short Artificial Introns

Engineering conditional alleles remains a major challenge in functional genomics. Short Artificial Introns (SAIs) have emerged as powerful tools to simplify allele design and characterization, yet practical guidelines for their implementation remain limited. Here, we describe two streamlined strategies, eSPLIT (exon split) and iSWAP (intron swap), that enable efficient generation of conditional alleles using SAIs. In eSPLIT, a compact cassette containing essential intronic elements flanked by loxP sites is integrated within an exon, whereas in iSWAP, a native intron is replaced with an SAI. In the absence of Cre recombinase, the SAI is recognized as an intron and removed by the splicing machinery, allowing normal gene expression. Following Cre-mediated recombination, excision of critical intronic sequences disrupts splicing, leaving residual sequences, including stop codons in all reading frames, thereby causing premature translation termination and gene inactivation. We optimized these approaches by generating a series 18 SCYL1 alleles in human cells, validated their general applicability in 5 mouse models across multiple genes and further extended the approach to the FLP-FRT system in vivo. By defining practical rules for SAI placement, we establish a robust and scalable framework for engineering conditional alleles, with broad utility in functional genomics and disease modeling. SHORT 100 - WORD ABSTRACTWe introduce eSPLIT and iSWAP, two streamlined strategies for generating conditional alleles using a short artificial intron (SAI). eSPLIT integrates a loxP-flanked SAI within an exon, while iSWAP replaces a native intron. Cre-mediated excision disrupts SAI splicing, leading to gene inactivation. Optimized using SCYL1 alleles in human cells and validated in mouse models across multiple genes, these strategies provide a simple and efficient approach for engineering conditional alleles. By outlining design rules for SAI placement, we provide a robust and scalable strategy for functional genomics and disease modeling.

genomics↗