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Pathological features of transplanted tumor established by CD133 positive TJ905 glioblastoma stem-like cells

Overview of attention for article published in Cancer Cell International, June 2015
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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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2015.
All research outputs
#17,761,927
of 22,811,321 outputs
Outputs from Cancer Cell International
#982
of 1,799 outputs
Outputs of similar age
#177,935
of 264,753 outputs
Outputs of similar age from Cancer Cell International
#13
of 25 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,799 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.