Literature DB >> 28789439

Expression of TAG1/APP signaling pathway in the proliferation and differentiation of glioma stem cells.

Yun-Bo Zhen1, Xiao-Feng Chen1, Tao Yan1, Shi-Guang Zhao1.   

Abstract

The aim of the present study was to examine the role of the expression of transient axonal glycoprotein-1 (TAG1)/precursor protein (APP) signaling pathway in the proliferation and differentiation of glioma stem cells. A glioma cell line (U373) was used as well as fluorescence quantitative PCR, western blot analysis, and enzyme-linked immunosorbent assay (ELISA), to examine the role of the expression of TAG1/APP signaling pathway in the proliferation and differentiation of glioma stem cells after five generations of in vitro culture. The results showed that compared to the normal glioma cells, the expression of TAG1 and APP was significantly increased in the proliferation of glioma stem cells. The results of ELISA and western blot analysis also confirmed a significant elevation in the protein expression of TAG1 in glioma stem cells compared to normal human glioma cells. When glioma stem cells were cultured in differentiation medium, as revealed by RT-PCR, the expression of TAG1 and APP in glioma stem cells initially increased and then decreased. In addition, the protein expression of TAG1 and APP was consistent with the RT-PCR results. Compared with undifferentiated glioma stem cells, the expression of TAG1 and APP decreased gradually with the extension of differentiation time. In conclusion, the expression of TAG1/APP signaling pathway in glioma cells was abnormal. Thus, this pathway is involved in the proliferation and differentiation of glioma cells and promotes the proliferation of glioma cells to inhibit the differentiation of glioma cells.

Entities:  

Keywords:  amyloid precursor protein; transient axonal glycoprotein-1

Year:  2017        PMID: 28789439      PMCID: PMC5530010          DOI: 10.3892/ol.2017.6381

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Glioma has been confirmed as a lethal malignant tumor due to high mortalities caused by gliomas in recent years (1). Modrek et al showed that gliomas account for 29% of primary tumors of system diseases, which constitutes 80% of malignant tumors (2). The incidence of gliomas is approximately 52,400/100,000 individuals (3). Previous findings have shown that approximately 0.602% of Chinese individuals exhibit varying degrees of increased primary system diseases; thus, there is a high incidence of patients with gliomas in China (4,5). Gliomas are caused by the interaction between human genetic material and the external environment; however, the related genes causing brain glioma have yet to be identified. Therefore, glioma pathogenesis remains to be determined (6). In recent years, advances in the research on glial stem cells, and the study of the pathogenesis of brain tumors by glial stem cells, have become imperative in the study of gliomas. Robinson et al showed that transient axonal glycoprotein-1 (TAG1) is important in the development of the central nervous system in the human body (7). Previous findings showed that the physiological function of TAG1 is mainly expressed in the human body as a cell adhesion molecule to guide the nerve cells in the adhesion, migration, and increase of axon growth (8). Huang et al found a correlation between TAG1 and glioma (9). Previous results have also shown that amyloid β precursor protein (APP) is an important, widely distributed protein in brain, and plays important roles in the promotion of nerve growth, regulation of neuronal migration and differentiation (10). In the present study, we investigated the role of the expression of TAG1/APP signaling pathway in the proliferation and differentiation of glioma stem cells to provide a reference for the study of the genetic mechanism and treatment of brain glioma.

Materials and methods

Chemicals, cell lines and reagents

In this study, U373 glioma cell lines with hepatocellular function were purchased from the American Type Culture Collection (Manassas, VA, USA). The main components of the serum-free medium included DMEM/F12 + Bfgf 20 ng/ml, EGF 20 ng/ml, and B27 0.2%. Cells were cultured at 37°C with 5% CO2. Differentiation medium comprised DMEM/F12 culture medium containing 10% fetal bovine serum, and cells were cultured at 37°C with 5% CO2. The TAG1/APP primary antibodies were purchased from Roche (Mannheim, Germany).

RT-PCR and RNA extraction

RNA extraction was operated in accordance with AXYGEN kit instructions (10). Briefly, 500 ng RNA was collected and added to 2.0 ml 5X g DNA eraser Buffer, 1.0 µg DNA eraser, and RNase-free ddH2O to supplement the whole system to 10 ml and the DNA was eliminated from RNA, followed by the addition of 5 ml of the above reaction liquid, 0.5 ml PrimeScript RT Enzyme mix, 2.0 ml 5X Prime Script Buffer and 2.0 ml RT Primer mix. RNase-free ddH2O was added to supplement the whole system to 10.0 ml. Fluorescent quantitative PCR reaction system was as follows: 5.0 ml SYBR Premix Ex Taq TMII (2X), 0.3 ml PCR forward primer (10 mmol/l), 0.3 ml PCR reverse primer (10 mmol/l), 1.0 ml cDNA, and H2O to supplement the whole system to 20 ml. The system was detected as previously described (11).

Fluorescent quantitative PCR

The fluorescence quantitative PCR kit used in the present study was purchased from Takara Biotechnology Co., Ltd. (Dalian, China). The experiment was carried out in triplicate. Specific steps were conducted with reference to the specification, resulting in disease amelioration (Table I).
Table I.

Fluorescence quantitative PCR primer.

GenePrimer sequence
TAG1F: 5′-AGTCACACCTGTCCTCTAG-3′
R: 5′-ATCTGCCTATGCCTTGGTTG-3′
APPF: 5′-GTGGCTGAGGAGATTCAAG-3′
R: 5′-AAAGAAGGCATGAGAGCATC-3′
GAPDHF: 5′-TCATGGGTGTGAACCATGAGAA-3′
R: 5′-GGCAGGACTGTGGTCATGAG-3′

Western blot analysis

Roche's animal cell protein extraction kit was used to extract the total protein in the sample (specific operation according to the specification) and the operation was optimized (12). Rabbit monoclonal TAG1 antibody (dilution, 1:500; cat. no. ab133498) and rabbit monoclonal APP antibody (dilution, 1:500; cat. no. ab180140) were purchased from Abcam (Cambridge, MA, USA).

ELISA detection

The double antibody sandwich method was used to detect the expression of TAG1/APP gene as previously described (11). Briefly, pH 9.0 PBS buffer was used to dilute the antibody protein, at a concentration of approximately 1–10 µg/ml. Then, 0.1 ml of the sample was added in the 96-well plate and the sample was treated at 4°C overnight. The following day, the liquid in the well was discarded and the plate was washed with PBS five times for 2 min. Subsequently, 0.1 ml of the treated serum sample was added into the 96-well plate and incubated at 37°C for 1 h. The plate was washed five times with PBS for 2 min. Of note, the blank well was used for the negative and positive controls. After washing, 0.1 ml of the secondary antibody was added to the 96-well plate and incubated at 37°C for 0.5–1.2 h. After staining with red, the plate was washed five times with PBS for 2 min. After washing, 0.1 ml new configured chromogenic substrate, TMB, was added to the 96-well plate and incubated at 37°C for 30 min, followed by the addition of 0.005 ml of 0.2 M sulfuric acid stop solution. For qualitative detection, the 96-well plate above was placed on blank paper. By reading the color depth, a qualitative observation was conducted, i.e., a deeper color indicated a higher positive degree, suggesting higher TAG1/APP protein content. The negative control hole was colorless. The 96-well plate was arranged on the enzyme standard instrument for quantitative detection with 450 nm as the wavelength. The blank well was adjusted to zero. If the OD value was >1.2-fold of the negative control value, a positive state was confirmed (12).

Statistical analysis

SPSS 20.2 statistical software (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis in the experiment. Measurement data were presented as mean ± standard deviation. Countable data were tested using the Chi-square test. P<0.05 was considered statistically significant.

Results

Gene expression of TAG1/APP signaling pathway in glioma stem cell proliferation

To explore the gene expression of TAG1/APP signaling pathway in glioma stem cell proliferation, ordinary glioma and glioma stem cells were collected to extract the RNA. TAG1/APP gene expression status was detected (Fig. 1). The expression of TAG1/APP increased significantly in glioma stem cells. Differences were of statistical significance (t1=−3.427, P=0.018; t2=−4.201, P=0.032).
Figure 1.

Gene expression of TAG1/APP signaling pathway and glioma stem cell proliferation.

Protein expression of TAG1/APP signaling pathway in glioma stem cell proliferation

The protein expression levels of TAG1/APP protein were studied using ELISA and western blotting, and the results are shown in Fig. 2. The expression of protein of TAG1/APP in glioma stem cells was significantly higher in comparison to the ordinary cells (t3=−3.49, P=0.021; t4=−9,782, P=0.012).
Figure 2.

Protein expression of TAG1/APP signaling pathway and the glioma stem cell proliferation.

Gene expression of TAG1/APP in the differentiation of glioma stem cells

To further examine the gene expression of TAG1/APP signaling pathway and the differentiation of glioma stem cells, the protein of ordinary glioma and glioma stem cells cultured in differentiation medium was extracted. RNA expression levels of TAG1/APP were determined by RT-PCR. The results revealed a significant increase in the RNA expression levels of TAG1/APP in glioma stem cells (P1=0.003, P2=0.004) (Fig. 3).
Figure 3.

Gene expression of TAG1/APP in the differentiation of glioma stem cells.

Protein expression of TAG1/APP signaling pathway in the differentiation of glioma stem cells. The protein expression of TAG1/APP signaling pathway in glioma stem cell differentiation was examined following protein extraction in ordinary glioma and glioma stem cells cultured in differentiation medium, using ELISA and western blotting. The results shown in Fig. 4 suggest that, the protein expression of TAG1/APP was significantly higher in glioma stem cells (P1=0.002, P2=0.001).
Figure 4.

Expression of TAG1/APP protein in the signal and differentiation of glioma stem cells.

Discussion

The recent increase in the incidence of cerebral gliomas results in the deepening of the research on brain glioma (13). Researchers are focused on important genes, which are able to affect gliomas such as TAG1 and APP. However, research on the relevant signaling pathway in glioma is rarely reported (14). The present study has focused on this aspect of glioma research and has explored the expression profiles of TAG1/APP signaling pathway in the proliferation and differentiation of glioma stem cells. TAG1 gene is crucial in the signal pathway and can promote axonal formation and remodeling (15). Furthermore, the interaction of TAG1 with glial cells plays an important role in the regulation of glial cell migration (16). We observed a significant increase in the expression profiles of TAG1 in the present study and the results are consistent with an earlier study by Liu et al (17). The APP protein is another important factor that has signal transfer function (18,19). Results by Nagai et al (20) showed that the APP gene is also involved in brain and nervous system development and maturation. Chen et al suggested the association of this gene with many types of gliomas (21). We also observed a significant increase in its expression profiles, as observed by Mirzayans et al (22). Therefore, it can be inferred from the abovementioned studies and results that TAG1/APP gene may be involved in the development and maturation of the nervous system, to a certain extent. At present, there are few reports about the expression of TAG1/APP signal pathway that is abnormally expressed in glioma cells. In addition, the TAG1/APP signaling pathway involves glioma stem cell proliferation and differentiation, promotes glioma stem cell proliferation, and inhibits glioma differentiation, which provides certain theoretical and experimental basis to the subsequent diagnosis and treatment of glioma.
  19 in total

1.  Promotion of the induction of cell pluripotency through metabolic remodeling by thyroid hormone triiodothyronine-activated PI3K/AKT signal pathway.

Authors:  Mengfei Chen; He Zhang; Jie Wu; Liang Xu; Di Xu; Jingnan Sun; Yixin He; Xin Zhou; Zhaojing Wang; Lifang Wu; Shaokun Xu; Jinsong Wang; Shu Jiang; Xiangjun Zhou; Andrew R Hoffman; Xiang Hu; Jifan Hu; Tao Li
Journal:  Biomaterials       Date:  2012-05-09       Impact factor: 12.479

2.  Generation of neuronal progenitor cells in response to tumors in the human brain.

Authors:  Jadranka Macas; Min-Chi Ku; Christian Nern; Yuanzhi Xu; Helmut Bühler; Marc Remke; Michael Synowitz; Kea Franz; Volker Seifert; Karl H Plate; Helmut Kettenmann; Rainer Glass; Stefan Momma
Journal:  Stem Cells       Date:  2014-01       Impact factor: 6.277

3.  Reprogramming of mouse and human cells to pluripotency using mature microRNAs.

Authors:  Norikatsu Miyoshi; Hideshi Ishii; Hiroaki Nagano; Naotsugu Haraguchi; Dyah Laksmi Dewi; Yoshihiro Kano; Shinpei Nishikawa; Masahiro Tanemura; Koshi Mimori; Fumiaki Tanaka; Toshiyuki Saito; Junichi Nishimura; Ichiro Takemasa; Tsunekazu Mizushima; Masataka Ikeda; Hirofumi Yamamoto; Mitsugu Sekimoto; Yuichiro Doki; Masaki Mori
Journal:  Cell Stem Cell       Date:  2011-06-03       Impact factor: 24.633

Review 4.  Brain stem cells as the cell of origin in glioma.

Authors:  Aram S Modrek; N Sumru Bayin; Dimitris G Placantonakis
Journal:  World J Stem Cells       Date:  2014-01-26       Impact factor: 5.326

5.  Regulatory roles of miRNA in the human neural stem cell transformation to glioma stem cells.

Authors:  Shuang Liu; Feng Yin; Jianning Zhang; Max S Wicha; Alfred E Chang; Wenhong Fan; Ling Chen; Ming Fan; Qiao Li
Journal:  J Cell Biochem       Date:  2014-08       Impact factor: 4.429

6.  Long-term culture following ES-like gene-induced reprogramming elicits an aggressive phenotype in mutated cholangiocellular carcinoma cells.

Authors:  Ken-ichi Nagai; Hideshi Ishii; Norikatsu Miyoshi; Hiromitsu Hoshino; Toshiyuki Saito; Tetsuya Sato; Yoshito Tomimaru; Shogo Kobayashi; Hiroaki Nagano; Mitsugu Sekimoto; Yuichiro Doki; Masaki Mori
Journal:  Biochem Biophys Res Commun       Date:  2010-04-07       Impact factor: 3.575

Review 7.  Epidemiology of gliomas.

Authors:  Quinn T Ostrom; Haley Gittleman; Lindsay Stetson; Selene M Virk; Jill S Barnholtz-Sloan
Journal:  Cancer Treat Res       Date:  2015

8.  Characterization of fenofibrate-mediated anti-proliferative pro-apoptotic effects on high-grade gliomas and anti-invasive effects on glioma stem cells.

Authors:  Emanuela Binello; Elisabetta Mormone; Luni Emdad; Harini Kothari; Isabelle M Germano
Journal:  J Neurooncol       Date:  2014-02-04       Impact factor: 4.130

9.  Upregulation of PGC-1α expression by Alzheimer's disease-associated pathway: presenilin 1/amyloid precursor protein (APP)/intracellular domain of APP.

Authors:  Ari Robinson; Sven Grösgen; Janine Mett; Valerie C Zimmer; Viola J Haupenthal; Benjamin Hundsdörfer; Christoph P Stahlmann; Yulia Slobodskoy; Ulrike C Müller; Tobias Hartmann; Reuven Stein; Marcus O W Grimm
Journal:  Aging Cell       Date:  2013-12-17       Impact factor: 9.304

Review 10.  Evidence from a large-scale meta-analysis indicates eczema reduces the incidence of glioma.

Authors:  Guannan Wang; Suling Xu; Chao Cao; Jing Dong; Yudong Chu; Guijuan He; Zhiwei Xu
Journal:  Oncotarget       Date:  2016-09-20
View more
  2 in total

1.  Kernel Differential Subgraph Analysis to Reveal the Key Period Affecting Glioblastoma.

Authors:  Jiang Xie; Jiamin Sun; Jiatai Feng; Fuzhang Yang; Jiao Wang; Tieqiao Wen; Qing Nie
Journal:  Biomolecules       Date:  2020-02-17

2.  PTPRD and CNTNAP2 as markers of tumor aggressiveness in oligodendrogliomas.

Authors:  Kirsi J Rautajoki; Serafiina Jaatinen; Aliisa M Tiihonen; Matti Annala; Elisa M Vuorinen; Anni Kivinen; Minna J Rauhala; Kendra K Maass; Kristian W Pajtler; Olli Yli-Harja; Pauli Helén; Joonas Haapasalo; Hannu Haapasalo; Wei Zhang; Matti Nykter
Journal:  Sci Rep       Date:  2022-08-18       Impact factor: 4.996

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.