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Fluorogenic Tagging of Peptide and Protein 3-Nitrotyrosine with 4-(Aminomethyl)-benzenesulfonic Acid for Quantitative Analysis of Protein Tyrosine Nitration.

Chromatographia

Sharov VS, Dremina ES, Galeva NA, Gerstenecker GS, Li X, Dobrowsky RT, Stobaugh JF, Schöneich C.
PMID: 20703364
Chromatographia. 2010 Jan 01;71(1):37-53. doi: 10.1365/s10337-009-1409-0.

Protein 3-nitrotyrosine (3-NT) has been recognized as an important biomarker of nitroxidative stress associated with inflammatory and degenerative diseases, and biological aging. Analysis of protein-bound 3-NT continues to represent a challenge since in vivo it frequently does not accumulate...

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Sharov VS, Dremina ES, Galeva NA, et al. Fluorogenic Tagging of Peptide and Protein 3-Nitrotyrosine with 4-(Aminomethyl)-benzenesulfonic Acid for Quantitative Analysis of Protein Tyrosine Nitration. Chromatographia. 2010;71(1):37-53doi: 10.1365/s10337-009-1409-0.
Sharov, V. S., Dremina, E. S., Galeva, N. A., Gerstenecker, G. S., Li, X., Dobrowsky, R. T., Stobaugh, J. F., & Schöneich, C. (2010). Fluorogenic Tagging of Peptide and Protein 3-Nitrotyrosine with 4-(Aminomethyl)-benzenesulfonic Acid for Quantitative Analysis of Protein Tyrosine Nitration. Chromatographia, 71(1), 37-53. https://doi.org/10.1365/s10337-009-1409-0
Sharov, Victor S, et al. "Fluorogenic Tagging of Peptide and Protein 3-Nitrotyrosine with 4-(Aminomethyl)-benzenesulfonic Acid for Quantitative Analysis of Protein Tyrosine Nitration." Chromatographia vol. 71,1 (2010): 37-53. doi: https://doi.org/10.1365/s10337-009-1409-0
Sharov VS, Dremina ES, Galeva NA, Gerstenecker GS, Li X, Dobrowsky RT, Stobaugh JF, Schöneich C. Fluorogenic Tagging of Peptide and Protein 3-Nitrotyrosine with 4-(Aminomethyl)-benzenesulfonic Acid for Quantitative Analysis of Protein Tyrosine Nitration. Chromatographia. 2010 Jan 01;71(1):37-53. doi: 10.1365/s10337-009-1409-0. PMID: 20703364; PMCID: PMC2918916.
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Selective neuronal vulnerability to oxidative stress in the brain.

Frontiers in aging neuroscience

Wang X, Michaelis EK.
PMID: 20552050
Front Aging Neurosci. 2010 Mar 30;2:12. doi: 10.3389/fnagi.2010.00012. eCollection 2010.

Oxidative stress (OS), caused by the imbalance between the generation and detoxification of reactive oxygen and nitrogen species (ROS/RNS), plays an important role in brain aging, neurodegenerative diseases, and other related adverse conditions, such as ischemia. While ROS/RNS serve...

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Wang X, Michaelis EK. Selective neuronal vulnerability to oxidative stress in the brain. Front Aging Neurosci. 2010;2:12doi: 10.3389/fnagi.2010.00012.
Wang, X., & Michaelis, E. K. (2010). Selective neuronal vulnerability to oxidative stress in the brain. Frontiers in aging neuroscience, 212. https://doi.org/10.3389/fnagi.2010.00012
Wang, Xinkun, and Michaelis, Elias K. "Selective neuronal vulnerability to oxidative stress in the brain." Frontiers in aging neuroscience vol. 2 (2010): 12. doi: https://doi.org/10.3389/fnagi.2010.00012
Wang X, Michaelis EK. Selective neuronal vulnerability to oxidative stress in the brain. Front Aging Neurosci. 2010 Mar 30;2:12. doi: 10.3389/fnagi.2010.00012. eCollection 2010. PMID: 20552050; PMCID: PMC2874397.
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Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET.

Neurology

Schindler SE, Li Y, Buckles VD, Gordon BA, Benzinger TLS, Wang G, Coble D, Klunk WE, Fagan AM, Holtzman DM, Bateman RJ, Morris JC, Xiong C.
PMID: 34504028
Neurology. 2021 Nov 02;97(18):e1823-e1834. doi: 10.1212/WNL.0000000000012775. Epub 2021 Sep 09.

BACKGROUND AND OBJECTIVES: To predict when cognitively normal individuals with brain amyloidosis will develop symptoms of Alzheimer disease (AD).METHODS: Brain amyloid burden was measured by amyloid PET with Pittsburgh compound B. The mean cortical standardized uptake value ratio (SUVR)...

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Schindler SE, Li Y, Buckles VD, et al. Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET. Neurology. 2021;97(18):e1823-e1834doi: 10.1212/WNL.0000000000012775.
Schindler, S. E., Li, Y., Buckles, V. D., Gordon, B. A., Benzinger, T. L. S., Wang, G., Coble, D., Klunk, W. E., Fagan, A. M., Holtzman, D. M., Bateman, R. J., Morris, J. C., & Xiong, C. (2021). Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET. Neurology, 97(18), e1823-e1834. https://doi.org/10.1212/WNL.0000000000012775
Schindler, Suzanne E, et al. "Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET." Neurology vol. 97,18 (2021): e1823-e1834. doi: https://doi.org/10.1212/WNL.0000000000012775
Schindler SE, Li Y, Buckles VD, Gordon BA, Benzinger TLS, Wang G, Coble D, Klunk WE, Fagan AM, Holtzman DM, Bateman RJ, Morris JC, Xiong C. Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET. Neurology. 2021 Nov 02;97(18):e1823-e1834. doi: 10.1212/WNL.0000000000012775. Epub 2021 Sep 09. PMID: 34504028; PMCID: PMC8610624.
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Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET.

Neurology

Schindler SE, Li Y, Buckles VD, Gordon BA, Benzinger TLS, Wang G, Coble D, Klunk WE, Fagan AM, Holtzman DM, Bateman RJ, Morris JC, Xiong C.
PMID: 34504028
Neurology. 2021 Nov 02;97(18):e1823-e1834. doi: 10.1212/WNL.0000000000012775. Epub 2021 Sep 09.

BACKGROUND AND OBJECTIVES: To predict when cognitively normal individuals with brain amyloidosis will develop symptoms of Alzheimer disease (AD).METHODS: Brain amyloid burden was measured by amyloid PET with Pittsburgh compound B. The mean cortical standardized uptake value ratio (SUVR)...

Cite
Schindler SE, Li Y, Buckles VD, et al. Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET. Neurology. 2021;97(18):e1823-e1834doi: 10.1212/WNL.0000000000012775.
Schindler, S. E., Li, Y., Buckles, V. D., Gordon, B. A., Benzinger, T. L. S., Wang, G., Coble, D., Klunk, W. E., Fagan, A. M., Holtzman, D. M., Bateman, R. J., Morris, J. C., & Xiong, C. (2021). Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET. Neurology, 97(18), e1823-e1834. https://doi.org/10.1212/WNL.0000000000012775
Schindler, Suzanne E, et al. "Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET." Neurology vol. 97,18 (2021): e1823-e1834. doi: https://doi.org/10.1212/WNL.0000000000012775
Schindler SE, Li Y, Buckles VD, Gordon BA, Benzinger TLS, Wang G, Coble D, Klunk WE, Fagan AM, Holtzman DM, Bateman RJ, Morris JC, Xiong C. Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET. Neurology. 2021 Nov 02;97(18):e1823-e1834. doi: 10.1212/WNL.0000000000012775. Epub 2021 Sep 09. PMID: 34504028; PMCID: PMC8610624.
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Functional genomics of brain aging and Alzheimer's disease: focus on selective neuronal vulnerability.

Current genomics

Wang X, Michaelis ML, Michaelis EK.
PMID: 21629439
Curr Genomics. 2010 Dec;11(8):618-33. doi: 10.2174/138920210793360943.

Pivotal brain functions, such as neurotransmission, cognition, and memory, decline with advancing age and, especially, in neurodegenerative conditions associated with aging, such as Alzheimer's disease (AD). Yet, deterioration in structure and function of the nervous system during aging or...

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Wang X, Michaelis ML, Michaelis EK. Functional genomics of brain aging and Alzheimer's disease: focus on selective neuronal vulnerability. Curr Genomics. 2010;11(8):618-33doi: 10.2174/138920210793360943.
Wang, X., Michaelis, M. L., & Michaelis, E. K. (2010). Functional genomics of brain aging and Alzheimer's disease: focus on selective neuronal vulnerability. Current genomics, 11(8), 618-33. https://doi.org/10.2174/138920210793360943
Wang, Xinkun, et al. "Functional genomics of brain aging and Alzheimer's disease: focus on selective neuronal vulnerability." Current genomics vol. 11,8 (2010): 618-33. doi: https://doi.org/10.2174/138920210793360943
Wang X, Michaelis ML, Michaelis EK. Functional genomics of brain aging and Alzheimer's disease: focus on selective neuronal vulnerability. Curr Genomics. 2010 Dec;11(8):618-33. doi: 10.2174/138920210793360943. PMID: 21629439; PMCID: PMC3078686.
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Showing 1 to 5 of 5 entries