Name
Extracellular Space
Namespace Keyword
CellStructure
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/cell-structure/cell-structure-20170511.belanno

Sample Annotated Edges 5

a(CHEBI:"amyloid fibril") positiveCorrelation a(HBP:HBP00074) View Subject | View Object

In addition, the load of AβO deposits significantly correlated with fibrillar Aβ plaque deposition as well as with neuronal loss and numbers of astrocytes, although not with memory deficits. PubMed:29196815

a(CHEBI:"amyloid-beta polypeptide 42") negativeCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

Despite enhanced Aβ42 accumulation in AD brain (Lewczuk et al. 2003), concentrations of monomeric Aβ42 in the CSF of AD patients are decreased PubMed:29196815

a(CTO:"Mini_Mental_State_Examination") negativeCorrelation a(HBP:HBP00074) View Subject | View Object

Furthermore, the authors demonstrated significant, negative correlation of AβO number with the MMSE scores, what indicates that sFIDA readout seems to reflect the severity of AD, similar to the results described above. PubMed:29196815

a(HBP:HBP00018) causesNoChange bp(GO:"neuron death") View Subject | View Object

On the contrary, no relationship between total Aβ plaque burden and number of astrocytes or neurons was found (da Rocha-Souto et al. 2011). PubMed:29196815

a(HBP:HBP00018) causesNoChange bp(GO:"astrocyte activation") View Subject | View Object

On the contrary, no relationship between total Aβ plaque burden and number of astrocytes or neurons was found (da Rocha-Souto et al. 2011). PubMed:29196815

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.