Huntingtin lowering reduces somatic instability at CAG-expanded loci
Coffey, S. R.; Andrew, M.; Ging, H.; Hamilton, J.; Flower, M.; Kovalenko, M.; Bragg, R. M.; Cantle, J. P.; McHugh, C. A.; Carrillo, J. M.; Rodier, J.-A.; Marchionini, D. M.; Wilkinson, H. A.; Kwak, S.; Howland, D. S.; Bennett, C. F.; Mouro Pinto, R.; Auburger, G.; Zeitlin, S. O.; Kordasiewicz, H. B.; Tabrizi, S. J.; Wheeler, V. C.; Carroll, J. B.
Show abstract
Expanded trinucleotide repeats cause many human diseases, including Huntingtons disease (HD). Recent studies indicate that somatic instability of these repeats contributes to pathogenesis in several expansion disorders. We find that lowering huntingtin protein (HTT) levels reduces somatic instability of both the Htt and Atxn2 CAG tracts in knockin mouse models, and the HTT CAG tract in human iPSC-derived neurons, revealing an unexpected role for HTT in regulating somatic instability.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Suppression of Huntington's Disease Somatic Instability by Transcriptional Repression and Direct CAG Repeat Binding 98%
- PMS1 as a target for splice modulation to prevent somatic CAG repeat expansion in Huntington's disease 97%
- CRISPR/Cas9-Mediated Excision of ALS/FTD-Causing Hexanucleotide Repeat Expansion in C9ORF72 rescues major disease mechanisms in vivo and in vitro 95%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Constitutively active SARM1 variants found in ALS patients induce neuropathy 94%
- 17q21.31 sub-haplotypes underlying H1-associated risk for Parkinsons disease are associated with LRRC37A/2 expression in astrocytes 93%
- Whole-Genome Sequencing Analysis Reveals New Susceptibility Loci and Structural Variants Associated with Progressive Supranuclear Palsy 93%
Similar papers in this journal
"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.