a(CHEBI:"3-nitrotyrosine")
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
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
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
Of note, incubation with BSA or BSA-T for 24 h decreased heme/ H2O2/NO2 −-derived 3-NT deposits as compared with heme/ H2O2/NO2 − treatment alone, and BSA is more effective on suppressing the formation of 3-NT than BSA-T (Fig. 5b). PubMed:30324533
Of note, incubation with BSA or BSA-T for 24 h decreased heme/ H2O2/NO2 −-derived 3-NT deposits as compared with heme/ H2O2/NO2 − treatment alone, and BSA is more effective on suppressing the formation of 3-NT than BSA-T (Fig. 5b). PubMed:30324533
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
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
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
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.