Title |
Pathological features of transplanted tumor established by CD133 positive TJ905 glioblastoma stem-like cells
|
---|---|
Published in |
Cancer Cell International, June 2015
|
DOI | 10.1186/s12935-015-0208-y |
Pubmed ID | |
Authors |
Feng Jin, Ran Zhang, Song Feng, Chuan-Tao Yuan, Ren-Ya Zhang, Guang-Kui Han, Gen-Hua Li, Xi-Zhen Yu, Yang Liu, Ling-Sheng Kong, Shu-Ling Zhang, Lei Zhao |
Abstract |
This study is to explore the pathological features of transplanted tumor established by CD133 positive TJ905 glioblastoma stem-like cells. CD133 positive TJ905 glioma cells were separated by immunomagnetic beads to isolate glioma stem-like cells. TJ905 cells and stem-like cells were inoculated subcutaneously into the mice to establish model of transplanted tumor, respectively. Mice growing condition and behavior were observed. HE staining assay, immunohistochemical assay for GFAP, Ki-67 and Olig-2, and CD34 marked microvascular density (MVD) test were performed. The growing condition and behavior of mice in TJ905 stem cell group was more exaggerated and the models showed stronger malignant features pathologically than that in TJ905 cell group. Glial fibrillary acidic protein (GFAP) in TJ905 cell and stem-like cell group showed the transplanted tumor originated from astrocytes. Expression of Ki-67 and oligodendrocyte transcription factor-2 (Olig-2) in TJ905 stem cells was higher notably and CD34 expression in stem cell group was significantly higher than that in the other two groups. Pathological features of transplanted tumor established by CD133 positive glioblastoma stem-like cells show more malignant. Use of TJ905 stem cells to establish transplanted tumor model in nude mice is excellent for glioma research. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 11% |
Unknown | 8 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 22% |
Other | 2 | 22% |
Researcher | 1 | 11% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 22% |
Computer Science | 1 | 11% |
Neuroscience | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Unknown | 4 | 44% |