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Mark Eddison

Researcher at Howard Hughes Medical Institute

Publications -  25
Citations -  1399

Mark Eddison is an academic researcher from Howard Hughes Medical Institute. The author has contributed to research in topics: Medicine & Notch signaling pathway. The author has an hindex of 14, co-authored 22 publications receiving 1143 citations. Previous affiliations of Mark Eddison include Lincoln's Inn & King's College London.

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Cell fate choices and the expression of Notch, Delta and Serrate homologues in the chick inner ear: parallels with Drosophila sense-organ development.

TL;DR: The findings indicate that the sensory patches of the vertebrate inner ear and the sensory bristles of a fly are generated by minor variations of the same basic developmental program, in which cell diversification driven by Delta- notch and/or Serrate-Notch signalling plays a central part.
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Notch signaling in the development of the inner ear: Lessons from Drosophila

TL;DR: The arguments for considering the sensory patches of the vertebrate ear and bristles of the insect to be homologous structures, evolved from a common ancestral mechanosensory organ, are reviewed, and the role of Notch signaling in each system is examined.
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Microtubules mediate mitochondrial distribution in fission yeast

TL;DR: Results indicate that microtubules mediate mitochondrial distribution in fission yeast and provide the first genetic evidence for the role of microtubule in mitochondrial movement.
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The Drosophila surface glia transcriptome: evolutionary conserved blood-brain barrier processes.

TL;DR: The Drosophila BBB transcriptome is defined by isolating the BBB surface glia with fluorescence activated cell sorting and profiling their gene expression with microarrays and is found to show high expression of many ATP-binding cassette (ABC) and solute carrier (SLC) transporters, cell adhesion molecules, metabolic enzymes, signaling molecules, and components of xenobiotic metabolism pathways.
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SNT: a unifying toolbox for quantification of neuronal anatomy

TL;DR: SNT as discussed by the authors is an end-to-end framework for neuronal morphometry and whole-brain connectomics that supports tracing, proof-editing, visualization, quantification and modeling of neuroanatomy.