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Adopting MEA technology to study age-related neural network dysfunction in human stem cells
Williams, Robert
(PI)
Department of Life Sciences
Project
:
Research council
Overview
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Research output
(1)
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Neuroscience
Neural Network
100%
Stem Cell
100%
Embryonic Stem Cell
100%
Natural Product
100%
Excitability
100%
Neurogranin
100%
Calcineurin
25%
Neurodegeneration
25%
Cell Signaling
25%
Ribosome Protein
25%
Proteasome
25%
Mass Spectrometry
25%
Synapse
25%
Tauopathy
25%
Calmodulin
25%
Adeno-Associated Virus
25%
Biochemistry, Genetics and Molecular Biology
Tau
100%
Excitability
100%
Neurogranin
100%
Interactome
28%
Calmodulin
14%
Signal Transduction
14%
Mass Spectrometry
14%
Copurification
14%
Calcineurin
14%
Proteasome
14%
Microelectrode
14%
Synapse
14%
Ribosomal Protein
14%
Adeno Associated Virus
14%