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11 results on '"Dong, May"'

1. Epigenetic state determines inflammatory sensing in neuroblastoma

Author

Wolpaw, Adam J., Grossmann, Liron D., Dessau, Jessica L., Dong, May M., Aaron, Bailey J., Brafford, Patricia A., Volgina, Darya, Pascual-Pasto, Guillem, Rodriguez-Garcia, Alba, Uzun, Yasin, Arsenian-Henriksson, Marie, Powell, Daniel J., Bosse, Kristopher R., Kossenkov, Andrew, Tan, Kai, Hogarty, Michael D., Maris, John M., and Dang, Chi V.

Published
2022

3. sj-docx-3-phr-10.1177_00333549231176006 – Supplemental material for From COVID-19 Vaccine Hesitancy to Vaccine Acceptance: Results of a Longitudinal Survey

Author

Fisher, Kimberly A., Nguyen, Ngoc, Fouayzi, Hassan, Crawford, Sybil, Singh, Sonal, Dong, May, Wittenberg, Ruth, and Mazor, Kathleen M.

Subjects
111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences
Abstract

Supplemental material, sj-docx-3-phr-10.1177_00333549231176006 for From COVID-19 Vaccine Hesitancy to Vaccine Acceptance: Results of a Longitudinal Survey by Kimberly A. Fisher, Ngoc Nguyen, Hassan Fouayzi, Sybil Crawford, Sonal Singh, May Dong, Ruth Wittenberg and Kathleen M. Mazor in Public Health Reports

Published
2023
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4. sj-docx-1-phr-10.1177_00333549231176006 – Supplemental material for From COVID-19 Vaccine Hesitancy to Vaccine Acceptance: Results of a Longitudinal Survey

Author

Fisher, Kimberly A., Nguyen, Ngoc, Fouayzi, Hassan, Crawford, Sybil, Singh, Sonal, Dong, May, Wittenberg, Ruth, and Mazor, Kathleen M.

Subjects
111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences
Abstract

Supplemental material, sj-docx-1-phr-10.1177_00333549231176006 for From COVID-19 Vaccine Hesitancy to Vaccine Acceptance: Results of a Longitudinal Survey by Kimberly A. Fisher, Ngoc Nguyen, Hassan Fouayzi, Sybil Crawford, Sonal Singh, May Dong, Ruth Wittenberg and Kathleen M. Mazor in Public Health Reports

Published
2023
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5. sj-docx-2-phr-10.1177_00333549231176006 – Supplemental material for From COVID-19 Vaccine Hesitancy to Vaccine Acceptance: Results of a Longitudinal Survey

Author

Fisher, Kimberly A., Nguyen, Ngoc, Fouayzi, Hassan, Crawford, Sybil, Singh, Sonal, Dong, May, Wittenberg, Ruth, and Mazor, Kathleen M.

Subjects
111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences
Abstract

Supplemental material, sj-docx-2-phr-10.1177_00333549231176006 for From COVID-19 Vaccine Hesitancy to Vaccine Acceptance: Results of a Longitudinal Survey by Kimberly A. Fisher, Ngoc Nguyen, Hassan Fouayzi, Sybil Crawford, Sonal Singh, May Dong, Ruth Wittenberg and Kathleen M. Mazor in Public Health Reports

Published
2023
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6. HER2 and p53 Expression in Marjolin’s Ulcer

Author

Jin Dong May, xia chen, Xiao Yan, Ma Wen, and Chu Zhi Gang

Subjects
medicine.medical_specialty, genetic structures, business.industry, medicine, Marjolin's ulcer, medicine.disease, business, P53 expression, Dermatology, psychological phenomena and processes, digestive system diseases
Abstract

Background：Marjolin's ulcer is a malignant tumor that is different from other skin ulcers, and its pathogenesis is not yet clear. The diagnosis and prognosis of Marjolin's ulcer lack valuable marks on immunohistochemistry (IHC).Methods: In this study, we detected the expression of HER2 and p53 in Majorlin’s ulcer with immunohistochemistry, and retrospectively analyze the clinicopathological characteristics of Marjolin's ulcer samples.Results: Our results showed that no HER2 but p53 was detected in Majorlin’s Ulcer samples. Meanwhile, by statistic analysis we found that the positive expression rate of p53 in Majorlin’s Ulcer samples was associated with sex, course of disease, ulcer size, pathological type of ulcer canceration, and degree of tumor differentiation. Furthermore, we showed that the positive rate of p53 was proportional to the malignancy degree of Marjolin’s ulcer. Conclusions:Our results of this study will lay a foundation for diagnosis of Marjolin's ulcer and even prevention of Marjolin's ulcer progression

Published
2021
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7. Epigenetic state determines inflammatory sensing in neuroblastoma

Author

Wolpaw, Adam J., primary, Grossmann, Liron D., additional, Dong, May M., additional, Dessau, Jessica L., additional, Brafford, Patricia A., additional, Volgina, Darya, additional, Rodriguez-Garcia, Alba, additional, Uzun, Yasin, additional, Powell, Daniel J., additional, Tan, Kai, additional, Hogarty, Michael D., additional, Maris, John M., additional, and Dang, Chi V., additional

Published
2021
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8. Proteomic fingerprinting of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library

Author

Gittens, Rolando A., primary, Almanza, Alejandro, additional, Bennett, Kelly L., additional, Mejía, Luis C., additional, Sanchez-Galan, Javier E., additional, Merchan, Fernando, additional, Kern, Jonathan, additional, Miller, Matthew J., additional, Esser, Helen J., additional, Hwang, Robert, additional, Dong, May, additional, De León, Luis F., additional, Álvarez, Eric, additional, and Loaiza, Jose R., additional

Published
2020
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9. Proteomic fingerprint identification of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library

Author

Gittens, Rolando A., primary, Almanza, Alejandro, additional, Álvarez, Eric, additional, Bennett, Kelly L., additional, Mejía, Luis C., additional, Sanchez-Galan, Javier E., additional, Merchan, Fernando, additional, Kern, Jonathan, additional, Miller, Matthew J., additional, Esser, Helen J., additional, Hwang, Robert, additional, Dong, May, additional, De León, Luis F., additional, and Loaiza, Jose R., additional

Published
2020
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10. Proteomic fingerprinting of neotropical hard tick species (Acari : Ixodidae) using a selfcurated mass spectra reference library

Author

Gittens, Rolando A., Almanza, Alejandro, Bennett, Kelly L., Mejía, Luis C., Sanchez-Galan, Javier E., Merchan, Fernando, Kern, Jonathan, Miller, Matthew J., Esser, Helen J., Hwang, Robert, Dong, May, De León, Luis F., Álvarez, Eric, Loaiza, Jose R., Gittens, Rolando A., Almanza, Alejandro, Bennett, Kelly L., Mejía, Luis C., Sanchez-Galan, Javier E., Merchan, Fernando, Kern, Jonathan, Miller, Matthew J., Esser, Helen J., Hwang, Robert, Dong, May, De León, Luis F., Álvarez, Eric, and Loaiza, Jose R.

Abstract

Matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry is an analytical method that detects macromolecules that can be used for proteomic fingerprinting and taxonomic identification in arthropods. The conventional MALDI approach uses fresh laboratory-reared arthropod specimens to build a reference mass spectra library with high quality standards required to achieve reliable identification. However, this may not be possible to accomplish in some arthropod groups that are difficult to rear under laboratory conditions, or for which only alcohol preserved samples are available. Here, we generated MALDI mass spectra of highly abundant proteins from the legs of 18 Neotropical species of adult field-collected hard ticks, several of which had not been analyzed by mass spectrometry before. We then used their mass spectra as fingerprints to identify each tick species by applying machine learning and pattern recognition algorithms that combined unsupervised and supervised clustering approaches. Both Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) classification algorithms were able to identify spectra from different tick species, with LDA achieving the best performance when applied to field-collected specimens that did have an existing entry in a reference library of arthropod protein spectra. These findings contribute to the growing literature that ascertains mass spectrometry as a rapid and effective method to complement other well-established techniques for taxonomic identification of disease vectors, which is the first step to predict and manage arthropod-borne pathogens.

Published
2020

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