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Showing 1–10 of 10 results
Advanced filters: Author: Yoseph Barash Clear advanced filters
  • The coding capacity of the genome is greatly expanded by the process of alternative splicing, which enables a single gene to produce more than one distinct protein. Can the expression of these different proteins be predicted from sequence data? Here, modelling based on information theory has been used to develop a 'splicing code', which can predict, with good accuracy, tissue-dependent changes in alternative splicing.

    • Yoseph Barash
    • John A. Calarco
    • Brendan J. Frey
    Research
    Nature
    Volume: 465, P: 53-59
  • Here the authors develop MAJIQ v2 to address challenges in detection, quantification, and visualization of RNA splicing variations from large heterogeneous RNA-Seq datasets. They then apply it to analyze 2,335 samples from 13 brain subregions.

    • Jorge Vaquero-Garcia
    • Joseph K. Aicher
    • Yoseph Barash
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-20
  • The significance of translated upstream open reading frames is not well known. Here, the authors investigate genetic variants in these regions, finding that they are under high evolutionary constraint and may contribute to disease.

    • David S. M. Lee
    • Joseph Park
    • Yoseph Barash
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-14
  • G-quadruplexes (G4s) are secondary structures that can form in both DNA and RNA from guanine-rich sequences which are enriched in untranslated regions (UTRs). Here, Lee et al. find that putative G4-forming sequences are evolutionarily constrained, enriched for RNA-binding protein interactions and enriched for disease genetic associations.

    • David S. M. Lee
    • Louis R. Ghanem
    • Yoseph Barash
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • RNA splicing variations could help identify cancer subtypes, but this task is computationally challenging. Here, the authors develop CHESSBOARD, a Bayesian tile finding algorithm for splicing data which identifies patterns in the form of tiles and can discover leukemia subgroups associated with therapeutic response.

    • David Wang
    • Mathieu Quesnel-Vallieres
    • Yoseph Barash
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-15
  • Multiple alternative splicing events in CD19 mRNA have been associated with resistance/relapse to CD19 CAR-T therapy in patients with B cell malignancies. Here, by combining patient data and a high-throughput mutagenesis screen, the authors identify single point mutations and RNA-binding proteins that can control CD19 splicing and be associated with CD19 CAR-T therapy resistance.

    • Mariela Cortés-López
    • Laura Schulz
    • Julian König
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-17
  • Olja Grgic, Matthew Gazzara, and Alessandra Chesi et al. perform a genome-wide association study meta-analysis for skeletal age in two pediatric cohorts. They observe that variation in the adrenal gene, CYP11B1, impacts its alternative splicing, suggesting that adrenal steroidogenesis may contribute toward variation in skeletal age in otherwise healthy children.

    • Olja Grgic
    • Matthew R. Gazzara
    • Fernando Rivadeneira
    ResearchOpen Access
    Communications Biology
    Volume: 4, P: 1-10