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a(HBP:"Tau antibody, 40E8")

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Entity

Name
Tau antibody, 40E8
Namespace
HBP
Namespace Version
20181128
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/7e4be528f12abd28be768b62402fba6e083eaf9e/export/hbp-names.belns

Appears in Networks 1

Tau Antibody Targeting Pathological Species Blocks Neuronal Uptake and Interneuron Propagation of Tau in Vitro v1.0.0

This file encodes the article Tau Antibody Targeting Pathological Species Blocks Neuronal Uptake and Interneuron Propagation of Tau in Vitro by Nobuhara et. al. 2017

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Out-Edges 6

a(HBP:"Tau antibody, 40E8") decreases p(MGI:Mapt, loc(GO:cell)) View Subject | View Object

Among the seven antibodies, Tau13 and 6C5 most efficiently removed tau (>85% reduction) from rTg4510 brain extracts on immunodepletion (Figure 2A). HT7 showed an intermediate effect (72% reduction), whereas the other four antibodies (40E8, 4E4, p396, and Tau46) removed only a small fraction of tau (5.6%, 16.6%, 8.4%, and 18% reductions, respectively) (Figure 2A). PubMed:28408124

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MeSH
Brain
MeSH
Tauopathies
Text Location
Results

a(HBP:"Tau antibody, 40E8") decreases tloc(p(MGI:Mapt), fromLoc(GO:"extracellular region"), toLoc(GO:intracellular)) View Subject | View Object

The 40E8, 4E4, and p396 antibodies also reduced neuronal tau uptake by 40% to 80%, despite their low-immunodepletion efficiency (Figure 2). This finding suggests that they interacted with tau species that are prone to cellular uptake, which account for only a small fraction of all soluble tau species in the brain extract. Notably, Tau46 had little effect on tau uptake (Figure 2, B and C). PubMed:28408124

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Annotations
MeSH
Brain
MeSH
Tauopathies
Text Location
Results

a(HBP:"Tau antibody, 40E8") decreases p(HGNC:MAPT, loc(GO:cell)) View Subject | View Object

Tau13, 6C5, and HT7 efficiently depleted tau from the AD HMW fraction (97%, 82%, and 72%, respectively), whereas the other four antibodies (40E8, 4E4, p396, and Tau46) removed only a small fraction of tau (33%, 4.7%, 22%, and 21% reductions, respectively) (Figure 4A). PubMed:28408124

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MeSH
Alzheimer Disease
Text Location
Results

a(HBP:"Tau antibody, 40E8") decreases tloc(p(HGNC:MAPT), fromLoc(GO:"extracellular region"), toLoc(GO:intracellular)) View Subject | View Object

In the tau uptake assay, 6C5 most effectively reduced tau uptake by immunodepletion (75% reduction) (Figure 4, B and C). Tau13 and HT7 showed intermediate effects (55% and 47% reductions, respectively) (Figure 4, B and C). The 40E8, p396, and 4E4 antibodies also reduced neuronal tau uptake (65%, 53%, and 47% reductions, respectively), despite their low immunodepletion efficiency (Figure 4). PubMed:28408124

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Annotations
MeSH
Neurons
MeSH
Alzheimer Disease
Text Location
Results

a(HBP:"Tau antibody, 40E8") decreases p(HGNC:MAPT) View Subject | View Object

for example, the two phosphorylation dependent tau antibodies (40E8 and p396) were the most efficient in the human AD case with the highest level of phosphorylated tau (1266). Both 6C5 and 40E8, shown to be most effective at reducing uptake from HMW human AD brainederived tau species (Figure 3, B and C), immunostained NFTs and neuritic plaques in postmortem human AD frontal cortex sections (Figure 6); 40E8 was somewhat more reactive to neuropil threads under the conditions used. PubMed:28408124

Appears in Networks:
Annotations
MeSH
Alzheimer Disease
Text Location
Results

a(HBP:"Tau antibody, 40E8") decreases p(HGNC:MAPT, pmod(Ph)) View Subject | View Object

for example, the two phosphorylation dependent tau antibodies (40E8 and p396) were the most efficient in the human AD case with the highest level of phosphorylated tau (1266). Both 6C5 and 40E8, shown to be most effective at reducing uptake from HMW human AD brainederived tau species (Figure 3, B and C), immunostained NFTs and neuritic plaques in postmortem human AD frontal cortex sections (Figure 6); 40E8 was somewhat more reactive to neuropil threads under the conditions used. PubMed:28408124

Appears in Networks:
Annotations
MeSH
Alzheimer Disease
Text Location
Results

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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.