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Nova · Professor Researcher · re-ranking top 20…

Dohyun Kim

Verified

Brown University · Applied Mathematics

Active 1995–2024

h-index35
Citations3.5k
Papers12336 last 5y
Funding
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Research topics

  • Computer Science
  • Genetics
  • Biology
  • Physics
  • Neuroscience
  • Biological system
  • Medicine

Selected publications

  • Human neurons from Christianson syndrome iPSCs reveal mutation-specific responses to rescue strategies

    Science Translational Medicine · 2021 · 31 citations

    • Neuroscience
    • Medicine
    • Biology

    exchanger 6 (NHE6). To hasten treatment development, we established induced pluripotent stem cell (iPSC) lines from patients with CS representing a mutational spectrum, as well as biologically related and isogenic control lines. We demonstrated that pathogenic mutations lead to loss of protein function by a variety of mechanisms: The majority of mutations caused loss of mRNA due to nonsense-mediated mRNA decay; however, a recurrent, missense mutation (the G383D mutation) had both loss-of-function and dominant-negative activities. Regardless of mutation, all patient-derived neurons demonstrated reduced neurite growth and arborization, likely underlying diminished postnatal brain growth in patients. Phenotype rescue strategies showed mutation-specific responses: A gene transfer strategy was effective in nonsense mutations, but not in the G383D mutation, wherein residual protein appeared to interfere with rescue. In contrast, application of exogenous trophic factors (BDNF or IGF-1) rescued arborization phenotypes across all mutations. These results may guide treatment development in CS, including gene therapy strategies wherein our data suggest that response to treatment may be dictated by the class of mutation.

  • Cortical spheroids display oscillatory network dynamics

    Lab on a Chip · 2021 · 8 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Biological system

    network events. These results open the door to experiments on neuronal networks that require fewer animals and enable high throughput experiments on network-perturbing alterations in neurons and glia.

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