Automated microscope system for determining factors that predict neuronal fate.
about
Mutant LRRK2 toxicity in neurons depends on LRRK2 levels and synuclein but not kinase activity or inclusion bodiesLongitudinal measures of proteostasis in live neurons: features that determine fate in models of neurodegenerative diseaseProceedings: consideration of genetics in the design of induced pluripotent stem cell-based models of complex diseaseCell-based screening: extracting meaning from complex data.Aggresome formation and neurodegenerative diseases: therapeutic implicationsHigh-throughput screening in primary neuronsIKK phosphorylates Huntingtin and targets it for degradation by the proteasome and lysosome.Astrocyte pathology and the absence of non-cell autonomy in an induced pluripotent stem cell model of TDP-43 proteinopathy.Quantitative relationships between huntingtin levels, polyglutamine length, inclusion body formation, and neuronal death provide novel insight into huntington's disease molecular pathogenesis.Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopyCytoplasmic mislocalization of TDP-43 is toxic to neurons and enhanced by a mutation associated with familial amyotrophic lateral sclerosis.Towards A Fully Automated High-Throughput Phototransfection System.A small-molecule scaffold induces autophagy in primary neurons and protects against toxicity in a Huntington disease model.Early retinal neurodegeneration and impaired Ran-mediated nuclear import of TDP-43 in progranulin-deficient FTLDDirect membrane association drives mitochondrial fission by the Parkinson disease-associated protein alpha-synuclein.Therapeutic modulation of eIF2α phosphorylation rescues TDP-43 toxicity in amyotrophic lateral sclerosis disease models.Phosphorylation of mutant huntingtin at serine 116 modulates neuronal toxicity.Identifying polyglutamine protein species in situ that best predict neurodegenerationAmelioration of toxicity in neuronal models of amyotrophic lateral sclerosis by hUPF1.Mutant induced pluripotent stem cell lines recapitulate aspects of TDP-43 proteinopathies and reveal cell-specific vulnerability.The potential of high-content high-throughput microscopy in drug discovery.Progranulin deficiency promotes neuroinflammation and neuron loss following toxin-induced injury.Inhibition of RNA lariat debranching enzyme suppresses TDP-43 toxicity in ALS disease modelsMethylene blue modulates huntingtin aggregation intermediates and is protective in Huntington's disease modelsDrug discovery in Parkinson's disease-Update and developments in the use of cellular models.Levetiracetam mitigates doxorubicin-induced DNA and synaptic damage in neuronsClinical Trials in a Dish: The Potential of Pluripotent Stem Cells to Develop Therapies for Neurodegenerative Diseases.Arc in the nucleus regulates PML-dependent GluA1 transcription and homeostatic plasticitySingle neuron ubiquitin-proteasome dynamics accompanying inclusion body formation in huntington disease.Imaging-based chemical screening reveals activity-dependent neural differentiation of pluripotent stem cells.High-content screening of primary neurons: ready for prime time.Proteostasis of polyglutamine varies among neurons and predicts neurodegeneration.Protein aggregates in Huntington's disease.Proteostasis and aging.Huntington's Disease: Pathogenic Mechanisms and Therapeutic Targets.Inhibiting sphingosine kinase 2 mitigates mutant Huntingtin-induced neurodegeneration in neuron models of Huntington disease.High content screening in neurodegenerative diseases.Differential effects of soluble and aggregating polyQ proteins on cytotoxicity and type-1 myosin-dependent endocytosis in yeast.Nrf2 mitigates LRRK2- and α-synuclein-induced neurodegeneration by modulating proteostasis.Combating Parkinson's disease-associated toxicity by modulating proteostasis.
P2860
Q24318474-7DE2B5E5-304B-4652-81E4-7F59E662863DQ26865220-0496FA72-DFF3-49B7-8D3A-ED05CC7FF717Q26999033-84CE1E3D-A7D8-4B6F-B625-F8CBE9969A49Q27305816-9C287F67-DDA8-4D20-AEB4-5F8A846BEE64Q28265926-79CCE994-D038-4A93-BF2B-B25808F8F386Q28709230-748A8E07-140E-470C-96A0-068349DB176BQ30435758-5584C90D-DDE2-41B1-811E-B83D8FFE016AQ30537986-0832E56E-6047-4280-81BD-96DE85F28B18Q30986761-CFACB3AD-DA8B-4D2C-97E0-214506D7C79AQ33351812-66925BE4-F446-4247-9FE6-033D5335B9F5Q33649745-42B72C7F-A1AF-444C-A47B-FD4D9634D1B8Q33656559-EFA480B7-E7EC-4074-80F4-970D43A31624Q34165508-B706DB9D-1304-4F1F-96FF-F77107E8F6E4Q34230498-2A3F9446-E329-49A4-8276-63C149A41B10Q35063363-9CBACB1B-DA24-4975-979D-52F368DBE937Q35066495-5BF8377A-E7B7-4EDA-BBFB-AABCA50890B4Q35088655-D373395D-1D65-4B36-9025-808589F8DE14Q35729286-83B63E1F-D40C-40FB-9D66-70C30E498E92Q35796020-1AADA0EC-1CE5-476F-A44E-F2D5B8352066Q35889309-1EF5EFE6-C04A-4DDF-9BFB-18ABA724FE2EQ35995251-2E4AB5DD-853F-4D7A-8366-96C328488C6DQ36357853-C89C25BC-FC01-4D42-B748-0C4C310CE99FQ36434528-55897D0C-85CD-4B03-87A3-37A94211586CQ36538885-0F009F41-F529-47C5-87CC-EA4B908662B9Q36680414-B2223097-CF0B-4FC3-889D-78E22E51D1A7Q36890652-6881E14C-3261-43D7-BC31-F6DCBB2A7995Q36904682-6E5A65A8-75DB-4B9F-BC15-43011486F475Q36990250-D9002807-AF19-4886-9399-5C50B849309FQ37094175-BF01DFC3-FADD-41C9-9511-AFC6D58162ACQ37166985-3BFD23DB-8DD1-42FD-81D5-625EC5689B94Q37455965-AD490884-D4C6-4348-95A5-8010698FDB5DQ37509963-6481F4A1-0970-4F0F-8A54-B4E90F492238Q37540988-8042E326-895B-4901-8079-FB5105149C75Q38662553-1871DC4B-4D7C-449E-A018-6A10B7A562D2Q38663090-F10919A3-A51F-4EBC-BF79-C8C8321D7F26Q38973133-2D7B1F19-7850-471B-AEC3-E732061A71CFQ39410169-298B2205-05AA-4079-A992-B0B36953F530Q41196898-876BB1BC-3EF6-4575-84F1-2A272B22DBA8Q41827284-8DFC5E9B-485F-492E-95ED-AE32CE173919Q42042410-865E8D7A-D2BB-4433-9060-DFC7794D4AEF
P2860
Automated microscope system for determining factors that predict neuronal fate.
description
2005 nî lūn-bûn
@nan
2005 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Automated microscope system for determining factors that predict neuronal fate.
@ast
Automated microscope system for determining factors that predict neuronal fate.
@en
type
label
Automated microscope system for determining factors that predict neuronal fate.
@ast
Automated microscope system for determining factors that predict neuronal fate.
@en
prefLabel
Automated microscope system for determining factors that predict neuronal fate.
@ast
Automated microscope system for determining factors that predict neuronal fate.
@en
P2860
P356
P1476
Automated microscope system for determining factors that predict neuronal fate
@en
P2093
Steven Finkbeiner
P2860
P304
P356
10.1073/PNAS.0409777102
P407
P577
2005-02-28T00:00:00Z