Name
Hematoma
Namespace Keyword
MeSHDisease
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/mesh-diseases/mesh-diseases-20170511.belanno

Sample Annotated Edges 5

a(CHEBI:"3-nitrotyrosine") positiveCorrelation a(MESH:"Reactive Oxygen Species") View Subject | View Object

Protein tyrosine nitration has been identified as a biomarker of oxidative stress, and the generation of 3-nitrotyrosine (3-NT) is often accompanied with the increasing of ROS and RNS under pathologic condition [14]. PubMed:30324533

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Annotations
MeSH
Hematoma
Text Location
Results

a(CHEBI:"3-nitrotyrosine") positiveCorrelation a(MESH:"Reactive Nitrogen Species") View Subject | View Object

Protein tyrosine nitration has been identified as a biomarker of oxidative stress, and the generation of 3-nitrotyrosine (3-NT) is often accompanied with the increasing of ROS and RNS under pathologic condition [14]. PubMed:30324533

Appears in Networks:
Annotations
MeSH
Hematoma
Text Location
Results

a(CHEBI:"3-nitrotyrosine") positiveCorrelation complex(a(CHEBI:"hydrogen peroxide"), a(CHEBI:heme), a(CHEBI:nitrite)) View Subject | View Object

As shown in Fig. 5a, significant amount of 3-NT emerged in cultures following heme/H2O2/NO2 − treatment for 24 h (red staining), indicating the strongest nitrative stress level. PubMed:30324533

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Annotations
MeSH
Hematoma
Text Location
Results

a(CHEBI:"carbonyl group") positiveCorrelation complex(a(CHEBI:"hydrogen peroxide"), a(CHEBI:heme), a(CHEBI:nitrite)) View Subject | View Object

The carbonyl contents (Fig. 4a) and MDA level (Fig. 4c) from heme/H2O2/NO2 −-treated cells were the highest under all conditions. PubMed:30324533

Appears in Networks:
Annotations
MeSH
Hematoma
Text Location
Results

a(CHEBI:heme) negativeCorrelation bp(MESH:"Cell Survival") View Subject | View Object

Whereas at the doses of 3, 4, and 5 μM, heme significantly reduced the viability of cells, which was in agreement with an earlier study [1]. PubMed:30324533

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Annotations
MeSH
Hematoma
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.