A humanized knock-in Col6a1 mouse recapitulates a deep-intronic splice-activating variant
Bolduc, V.; Guirguis, F.; Lubben, B.; Trank, L.; Silverstein, S.; Brull, A.; Nalls, M.; Cheng, J.; Garrett, L.; Bonnemann, C. G.
Show abstract
Antisense therapeutics such as splice-modulating antisense oligonucleotides (ASOs) are promising tools to treat diseases caused by splice-altering intronic variants. However, their testing in animal models is hampered by the generally poor sequence conservation of the intervening sequences between human and other species. Here we aimed to model in the mouse a recurrent, deep-intronic, splice-activating, COL6A1 variant, associated with a severe form of Collagen VI-related muscular dystrophies (COL6-RDs), for the purpose of testing human-ready antisense therapeutics in vivo. The variant, c.930+189C>T, creates a donor splice site and inserts a 72-nt-long pseudoexon, which, when translated, acts in a dominant-negative manner, but which can be skipped with ASOs. We created a unique humanized mouse allele (designated as "h"), in which a 1.9 kb of the mouse genomic region encoding the amino-terminus (N-) of the triple helical (TH) domain of collagen 1(VI) was swapped for the human orthologous sequence. In addition, we also created an allele that carries the c.930+189C>T variant on the same humanized knock-in sequence (designated as "h+189T"). We show that in both models, the human exons are spliced seamlessly with the mouse exons to generate a chimeric mouse-human collagen 1(VI) protein. In homozygous Col6a1 h+189T/ h+189T mice, the pseudoexon is expressed at levels comparable to those observed in heterozygous patients muscle biopsies. While Col6a1h/h mice do not show any phenotype compared to wild-type animals, Col6a1 h/ h+189T and Col6a1 h+189T/ h+189T mice have smaller muscle masses and display grip strength deficits detectable as early as 4 weeks of age. The pathogenic h+189T humanized knock-in mouse allele thus recapitulates the pathogenic splicing defects seen in patients biopsies and allows testing of human-ready precision antisense therapeutics aimed at skipping the pseudoexon. Given that the COL6A1 N-TH region is a hot-spot for COL6-RD variants, the humanized knock-in mouse model can be utilized as a template to introduce other COL6A1 pathogenic variants. This unique humanized mouse model thus represents a valuable tool for the development of antisense therapeutics for COL6-RDs.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A KLHL40 3’ UTR splice-altering variant causes milder NEM8, an under-appreciated disease mechanism 95%
- Loss of adenylosuccinate synthetase 1 in mice recapitulates features of ADSS1 myopathy 94%
- Systemic antisense therapeutics inhibiting DUX4 expression improves muscle function in an FSHD mouse model 94%
Similar papers in this journal
- The androgen receptor in mesenchymal progenitors regulates skeletal muscle mass via Igf1 expression in male mice. 95%
- Variants in the SOX9 transactivation middle domain induce axial skeleton dysplasia and scoliosis 95%
- A preclinical pig model of Angelman syndrome mirrors the early developmental trajectory of the human condition 95%
Similar papers in this journal
- Loss of TDP-43 function and rimmed vacuoles persist after T cell depletion in a xenograft model of sporadic inclusion body myositis 95%
- HIF1α gates tendon response to overload and drives tendinopathy independently of vascular recruitment 94%
- Seeding competent TDP-43 persists in human patient and mouse muscle 93%
Similar papers in this journal
- ACVR1 antibodies exacerbate heterotopic ossification in fibrodysplasia ossificans progressiva (FOP) by activating FOP-mutant ACVR1 95%
- A human multisystem disorder with autoinflammation, leukoencephalopathy and hepatopathy is caused by mutations in C2orf69 94%
- Deciphering the molecular landscape of human peripheral nerves: implications for diabetic peripheral neuropathy 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.