1. Catalog
  2. Nodes
  3. a(HBP:"Tau antibody, 6C5")

a(HBP:"Tau antibody, 6C5")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
Tau antibody, 6C5
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

In-Edges 0

Out-Edges 6

a(HBP:"Tau antibody, 6C5") 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

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Tauopathies
Text Location
Results

a(HBP:"Tau antibody, 6C5") decreases tloc(p(MGI:Mapt), fromLoc(GO:"extracellular region"), toLoc(GO:intracellular)) View Subject | View Object

Confocal FRET image analysis showed robust tau aggregation in primary neurons treated with control IgG-immunodepleted rTg4510 brain extracts (Figure 2, B and C).The 6C5 antibody most successfully reduced tau uptake by immunodepletion (>90% reduction), and Tau13 and HT7 showed intermediate effects (approximately 60% reductions) (Figure 2, B and C) PubMed:28408124

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Tauopathies
Text Location
Results

a(HBP:"Tau antibody, 6C5") 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

Appears in Networks:
Annotations
MeSH
Alzheimer Disease
Text Location
Results

a(HBP:"Tau antibody, 6C5") 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

Appears in Networks:
Annotations
MeSH
Neurons
MeSH
Alzheimer Disease
Text Location
Results

a(HBP:"Tau antibody, 6C5") 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, 6C5") decreases tloc(p(HGNC:MAPT), fromLoc(GO:"extracellular region"), toLoc(GO:intracellular)) View Subject | View Object

This result is consistent with the idea that the 6C5 antibody can slow tau uptake even after neurons have been exposed to the pathological tau and the uptake process initiated. PubMed:28408124

Appears in Networks:
Annotations
MeSH
Alzheimer Disease
Text Location
Results

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

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.