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Antman, I.

Publications and source records attributed to Antman, I..

2 recordsLinked to original sources

Allele-specific antisense oligonucleotide treatment rescues atad3-associated phenotype in zebrafish

Pathogenic variants in ATAD3A cause a spectrum of multisystem disorders, with a recurrent dominant-negative variant (c.1582C>T; p.Arg528Trp) associated with neurodevelopmental disease. Given the tolerance of ATAD3A to heterozygous loss of function variants, allele-specific transcript reduction represents a promising therapeutic strategy. We designed and optimized allele-specific antisense oligonucleotides (ASOs) targeting the c.1582C>T transcript and evaluated their efficacy and specificity in affected fibroblasts using allele-specific primers and amplicon-based next generation sequencing. Therapeutic potential was further assessed in vivo in zebrafish embryos expressing human wild-type or mutant ATAD3A transcripts. An optimized gapmer ASO selectively reduced mutant ATAD3A transcripts while relatively sparing the wild-type allele. In addition to RNase H-mediated degradation, the ASO induced exon skipping, leading to degradation of the aberrant transcript without production of a truncated protein. In zebrafish, expression of mutant human ATAD3A in embryos caused developmental abnormalities including reduced eye size, which were robustly rescued by co-injection of the optimized ASO. Our findings provide proof of concept for allele-targeted ASO therapy for dominant-negative ATAD3A variants. This work highlights the therapeutic potential of ASOs for rare dominant disorders involving genes tolerant to heterozygous loss-of-function, and establishes zebrafish as a versatile platform for in vivo ASO optimization.

genetics↗

Enhancer heterogeneity of lung neuroendocrine tumors reveals sensitivity to FGF signaling inhibition

Well-differentiated low-grade lung neuroendocrine tumors (lung carcinoids or LNETs) are histopathologically classified as typical and atypical LNETs, but each subtype is still heterogeneous at both the molecular level and its clinical manifestation. Here, we report the first genome-wide profiles of primary LNETs cis-regulatory elements by H3K27ac ChIP-seq with matching RNA-seq profiles. Analysis of these regulatory landscapes revealed three regulatory subtypes, independent of the typical / atypical classification. We identified unique differentiation signals that delineate each subtype. The proneuronal subtype emerges under the influence of ASCL1, TCF4, and SOX4 transcription factors, embodying a pronounced proneuronal signature. The luminal subtype is characterized by gain of acetylation at markers of luminal cells and GATA2 activation, and loss of LRP5 and OTP. The HNF+ subtype is characterized by a robust enhancer landscape driven by HNF1A, HNF4A, and FOXA3, with a notable acetylation and expression of FGF signaling genes, especially FGFR3 and FGFR4 genes, pivotal components of the FGF pathway. Our findings not only deepen the understanding of LNETs regulatory and developmental diversity but also spotlight the HNF+ subtypes reliance on FGFR signaling. We demonstrate that targeting this pathway with FGF inhibitors curtails tumor growth both in vitro and in xenograft models, unveiling a potential vulnerability and paving the way for targeted therapies. Overall, our work provides an important resource for studying LNETs to uncover regulatory networks, differentiation signals and therapeutically relevant dependences.

cancer biology↗