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  1. AU="Dahal, Jeebika"
  2. AU="Ahanfeshar-Adams, Mozhdeh"
  3. AU="Rosa Pérez, Ana" AU="Rosa Pérez, Ana"
  4. AU="Snaith, Henry J"
  5. AU="Mao, Yimin"
  6. AU="Exel, Tim K"
  7. AU="Nelson, Noah T"
  8. AU="Surana, Amit"
  9. AU="Praetzel-Wunder, Silke"
  10. AU="Nabil, Fatima Mohamed"
  11. AU="Lindh, Christian"
  12. AU="Vetkas, Artur"
  13. AU="Gorelick, Root"
  14. AU="Mezdari, Zaineb"
  15. AU=Wilkinson Beverley
  16. AU=Halbower Ann C AU=Halbower Ann C
  17. AU="Ghosh, Ananya"
  18. AU="Spoletini, Gabriele"
  19. AU="Gracefo, Sara"
  20. AU="Works, Kaitlyn R"
  21. AU="LIU Lei"
  22. AU="McLennan, John D"
  23. AU=Dickinson Gordon M AU=Dickinson Gordon M
  24. AU=Hertzler Dean A 2nd
  25. AU="Yan, Xinrui"
  26. AU="Seal, M L"
  27. AU="Seka, Devin J"
  28. AU="Nguyen, Phuong T B"

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  1. Artikel ; Online: A pathoconnectome of early neurodegeneration: Network changes in retinal degeneration.

    Pfeiffer, Rebecca L / Anderson, James R / Dahal, Jeebika / Garcia, Jessica C / Yang, Jia-Hui / Sigulinsky, Crystal L / Rapp, Kevin / Emrich, Daniel P / Watt, Carl B / Johnstun, Hope Ab / Houser, Alexis R / Marc, Robert E / Jones, Bryan W

    Experimental eye research

    2020  Band 199, Seite(n) 108196

    Abstract: Connectomics has demonstrated that synaptic networks and their topologies are precise and directly correlate with physiology and behavior. The next extension of connectomics is pathoconnectomics: to map neural network synaptology and circuit topologies ... ...

    Abstract Connectomics has demonstrated that synaptic networks and their topologies are precise and directly correlate with physiology and behavior. The next extension of connectomics is pathoconnectomics: to map neural network synaptology and circuit topologies corrupted by neurological disease in order to identify robust targets for therapeutics. In this report, we characterize a pathoconnectome of early retinal degeneration. This pathoconnectome was generated using serial section transmission electron microscopy to achieve an ultrastructural connectome with 2.18nm/px resolution for accurate identification of all chemical and gap junctional synapses. We observe aberrant connectivity in the rod-network pathway and novel synaptic connections deriving from neurite sprouting. These observations reveal principles of neuron responses to the loss of network components and can be extended to other neurodegenerative diseases.
    Mesh-Begriff(e) Amacrine Cells/metabolism ; Amacrine Cells/pathology ; Animals ; Connectome/methods ; Disease Models, Animal ; Gap Junctions ; Rabbits ; Retinal Degeneration/diagnosis ; Retinal Degeneration/metabolism ; Retinal Rod Photoreceptor Cells/metabolism ; Retinal Rod Photoreceptor Cells/pathology ; Synapses/metabolism
    Sprache Englisch
    Erscheinungsdatum 2020-08-15
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 80122-7
    ISSN 1096-0007 ; 0014-4835
    ISSN (online) 1096-0007
    ISSN 0014-4835
    DOI 10.1016/j.exer.2020.108196
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: Pathoconnectome Analysis of Müller Cells in Early Retinal Remodeling.

    Pfeiffer, Rebecca L / Anderson, James R / Emrich, Daniel P / Dahal, Jeebika / Sigulinsky, Crystal L / Morrison, Hope A B / Yang, Jia-Hui / Watt, Carl B / Rapp, Kevin D / Kondo, Mineo / Terasaki, Hiroko / Garcia, Jessica C / Marc, Robert E / Jones, Bryan W

    Advances in experimental medicine and biology

    2019  Band 1185, Seite(n) 365–370

    Abstract: Glia play important roles in neural function, including but not limited to amino acid recycling, ion homeostasis, glucose metabolism, and waste removal. During retinal degeneration and subsequent retinal remodeling, Müller cells (MCs) are the first cells ...

    Abstract Glia play important roles in neural function, including but not limited to amino acid recycling, ion homeostasis, glucose metabolism, and waste removal. During retinal degeneration and subsequent retinal remodeling, Müller cells (MCs) are the first cells to show metabolic and morphological alterations in response to stress. Metabolic alterations in MCs chaotically progress in retina undergoing photoreceptor degeneration; however, what relationship these alterations have with neuronal stress, synapse maintenance, or glia-glia interactions is currently unknown. The work described here reconstructs a MC from a pathoconnectome of early retinal remodeling retinal pathoconnectome 1 (RPC1) and explores relationships between MC structural and metabolic phenotypes in the context of neighboring neurons and glia. Here we find variations in intensity of osmication inter- and intracellularly, variation in small molecule metabolic content of MCs, as well as morphological alterations of glial endfeet. RPC1 provides a framework to analyze these relationships in early retinal remodeling through ultrastructural reconstructions of both neurons and glia. These reconstructions, informed by quantitative metabolite labeling via computational molecular phenotyping (CMP), allow us to evaluate neural-glial interactions in early retinal degeneration with unprecedented resolution and sensitivity.
    Mesh-Begriff(e) Connectome ; Ependymoglial Cells/pathology ; Humans ; Neurons/cytology ; Retina/cytology ; Retina/pathology ; Retinal Degeneration/physiopathology
    Sprache Englisch
    Erscheinungsdatum 2019-12-26
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2214-8019 ; 0065-2598
    ISSN (online) 2214-8019
    ISSN 0065-2598
    DOI 10.1007/978-3-030-27378-1_60
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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