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Showing 1–3 of 3 results
Advanced filters: Author: Sandy Trinh Clear advanced filters

  • Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

    • Wei Jiao
    • Gurnit Atwal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12

  • Evan Eichler and colleagues use single-molecule molecular-inversion probes to sequence the coding and splicing regions of 208 candidate genes in more than 11,730 individuals with neurodevelopmental disorders. They report 91 genes with an excess of de novo or private disruptive mutations, identify 25 genes showing a bias for autism versus intellectual disability, and highlight a network associated with high-functioning autism.

    • Holly A F Stessman
    • Bo Xiong
    • Evan E Eichler
    Research
    Nature Genetics
    Volume: 49, P: 515-526

  • Antagonists of Smoothened, a class F GPCR involved in the hedgehog pathway, have been developed to treat some cancers. Here Wang et al.report structures of Smoothened in complex with antagonists and an agonist, and describe how mutations may result in resistance to anti-Smoothened treatment.

    • Chong Wang
    • Huixian Wu
    • Raymond C. Stevens
    Research
    Nature Communications
    Volume: 5, P: 1-11