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© 2017 Cai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Extracellular signal-regulated kinase 8 (ERK8), proposed as a novel potential therapeutic target for cancer, has been implicated in cell transformation, apoptosis, the protection of genomic integrity, and autophagy. To facilitate ERK8 research, a highly specific anti-ERK8 antibody is needed. In this article, we use the Immune Epitope Database and Analysis Resource online tool to predict B-cell epitopes of human ERK8 protein, and choose a 28 aa-peptide sequence to generate the GST-ERK8(28aa) fusion protein as the antigen for developing polyclonal antibody against ERK8. The specificity and sensitivity of anti-ERK8 antibody were robustly validated by immunoblotting, immunocytochemical and immunohistochemical analyses; and we found that both the endogenous and ectopically-expressed human ERK8 proteins can be recognized by our anti-ERK8 antibody. This suggested that our characterized anti-ERK8 antibody will be a valuable tool for the elucidation of the distribution of ERK8 at cellular and histological levels. Finally, our tissue array analysis also demonstrated that the ERK8 protein was localized in both the nucleus and cytoplasm of human lung cancers.

Details

Title
Purification and characterization of a highly specific polyclonal antibody against human extracellular signal-regulated kinase 8 and its detection in lung cancer
Author
Na-Li, Cai; Lau, Andy T Y; Fei-Yuan, Yu; Dan-Dan Wu; Li-Juan, Dai; Hai-Ying Mo; Chang-Min, Lin; Yan-Ming, Xu
First page
e0184755
Section
Research Article
Publication year
2017
Publication date
Sep 2017
Publisher
Public Library of Science
e-ISSN
19326203
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1938532523
Copyright
© 2017 Cai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.