Searching journal content for articles similar to Kaplanis et al. 29 (7): 1047.

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  1. ...regulation. (B) SynMall provides splice prediction scores for COL4A3 c.765G > A: (1) SpliceAI predicts the gain or loss of donor/acceptor sites caused by the mutation; (2) MMSplice evaluates the likelihood of the site being a functional donor or acceptor; (3) CADD-Splice assesses the pathogenicity...
  2. ...integration, as the major mutation in HBV-related HCC tissues, occurs in the early stages of the disease. Once integrated into the human , HBV sequences may connect with other HBV sequences, leading to the expansion of dominant clones through positive selection during tumor development...
  3. ...stem cell–derived SOD1E100G MNs and shows that dysregulation of VGF, INA, and PENK is a strong disease predictor across species and SOD1 mutations. Our study reveals MN population-specific gene expression and temporal disease-induced regulation that together provide a basis to explain ALS selective...
  4. ...this study, we aimed to deploy a well-established chimeric RNA prediction algorithm on publicly available and made-for-purpose RNA-seq data sets representing a range of conditions in which mtDNA deletion mutations are pathogenic. We further aimed to relate the chimeric mtRNAs to age, disease state, gene...
  5. ...will be required to accurately assess the incremental diagnostic yield of long-read sequencing per genetic variant class, with a subset of the mutations detected by Steyaert et al. comprising single-nucleotide variants (SNVs) which could potentially be detected using short-read platforms in combination...
  6. ..., and the mutation frequency varies among the subs. Our study has systematically characterized the genetic and epigenetic variants in regenerated woodland strawberry plants and different individuals of the same strawberry cultivar, providing an accurate assessment of somatic mutations at the genomic scale...
  7. ...accumulate in the Huntington, Elongation Factor 3, PR65/A, TOR (HEAT) domain at its C terminus (Supplemental Fig. S1). The HEAT domain consists of 20 nonidentical HEAT repeats that form the RNA-binding interface (Cretu et al. 2016). These mutations are predicted to impact the N-terminal domain involved...
  8. ...deaminate and are associated with elevated UV mutation ratesBecause previous biochemical studies have indicated that flanking DNA bases can significantly impact the rate of cytosine deamination in CPD lesions (Tu et al. 1998; Cannistraro and Taylor 2009), we used our dCPD-seq data to characterize the impact...
  9. ...-read single-cell RNA sequencing (scRNA-seq) data reveals significant gene expression differences in SF3B1-mutated CLL cells, although it does not impact the sensitivity of the anticancer drug venetoclax. scRaCH-seq's capability to study long-read transcripts of multiple genes makes it a powerful tool...
  10. .... However, the current methods for the quantitative prediction of splice site usage still have limited accuracy. Here, we present DeltaSplice, a deep neural network model optimized to learn the impact of mutations on quantitative changes in alternative splicing from the comparative analysis of homologous...
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