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The overexpression of SOX2 affects the migration of human teratocarcinoma cell line NT2/D1

Overview of attention for article published in Anais da Academia Brasileira de Ciências, March 2015
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Title
The overexpression of SOX2 affects the migration of human teratocarcinoma cell line NT2/D1
Published in
Anais da Academia Brasileira de Ciências, March 2015
DOI 10.1590/0001-3765201520140352
Pubmed ID
Authors

Danijela Drakulic, Jelena Marjanovic Vicentic, Marija Schwirtlich, Jelena Tosic, Aleksandar Krstic, Andrijana Klajn, Milena Stevanovic

Abstract

The altered expression of the SOX2 transcription factor is associated with oncogenic or tumor suppressor functions in human cancers. This factor regulates the migration and invasion of different cancer cells. In this study we investigated the effect of constitutive SOX2 overexpression on the migration and adhesion capacity of embryonal teratocarcinoma NT2/D1 cells derived from a metastasis of a human testicular germ cell tumor. We detected that increased SOX2 expression changed the speed, mode and path of cell migration, but not the adhesion ability of NT2/D1 cells. Additionally, we demonstrated that SOX2 overexpression increased the expression of the tumor suppressor protein p53 and the HDM2 oncogene. Our results contribute to the better understanding of the effect of SOX2 on the behavior of tumor cells originating from a human testicular germ cell tumor. Considering that NT2/D1 cells resemble cancer stem cells in many features, our results could contribute to the elucidation of the role of SOX2 in cancer stem cells behavior and the process of metastasis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 3 19%
Other 1 6%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Agricultural and Biological Sciences 3 19%
Computer Science 1 6%
Psychology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 5 31%