Comparative proteomic analysis of human osteosarcoma and SV40-immortalized normal osteoblastic cell lines
Full-length article

Comparative proteomic analysis of human osteosarcoma and SV40-immortalized normal osteoblastic cell lines1

Qian-chen Guo2, Jing-nan Shen2,5, Song Jin2, Jin Wang2, Gang Huang2, Long-juan Zhang3, Jun-qiang Yin2, Chang-ye Zou2, Ming-tao Li4

2Department of Orthopedic Surgery, 3Laboratory Center of Surgery and 4Proteomic Center, Sun Yat-sen University, Guangzhou 510080, China

1Project supported by Guangzhou Municipal Key Project Foundation (No 2005Z3E0101) and the Science and Technology Development Foundation of Guangdong Province (No 2005B34001002 and 2003C34102).

5Correspondence to Prof Jing-nan SHEN.
Phn 86-20-8775-5766, ext 8898. Fax 86-20-8733-2150.
E-mail jnshen@doctor.com


Aim: Comparative proteomics provide a powerful approach in screening for alterations in protein levels and post-translational modifications that are associated with tumors. In the present study, we aimed to identify candidate biomarkers to distinguish osteosarcoma (OS) cells from normal osteoblastic cells.

Methods: We employed 3 OS cell lines (U2OS, IOR/OS9, and SaOS-2), and used the SV40-immortalized normal osteoblastic cell line (hFOB1.19) as the control. The differential protein levels in OS and osteoblastic cells were identified using 2-D gel electrophoresis followed by matrix-assisted laser desorption/ionization–time of flight mass spectrometry analyses. Two proteins of interest, the levels of which were significantly increased in OS cells, were further characterized by Western blot analyses.

Results: Twenty-six proteins were identified, the expression level of which was either significantly increased or decreased in the OS cells as compared to the control cells. The expression level of the activator of 90 kDa shock protein ATPase homolog 1 (AHA1), was enhanced 12.4-, 24.1-, and 23.8-fold in SaOS-2, IOR/OS9, and U2OS cells, respectively, and the level of the stomatin-like protein 2 (SLP-2) was increased by 10.4- and 7.8-fold in IOR/OS9 and U2OS cells, respectively, as compared to normal osteoblastic cells. Those observations were confirmed by Western blot analyses.

Conclusion: A differential proteomic analysis was successfully used to identify AHA1 and SLP-2 that were significantly overproduced in OS cells as compared to normal osteoblastic cells, suggesting that those proteins among others may be effective biomarker candidates for the identification of OS cells.

Keywords: AHA1; differentially-produced protein; osteosarcoma; proteome; SLP-2


Submitted Nov 27, 2006. Accepted for publication Feb 05, 2007.

doi: 10.1111/j.1745-7254.2007.00603.x


Introduction

Osteosarcoma (OS) is the most common non-hematological malignant bone tumor appearing in the first 2 decades of life with an annual incidence rate of 5.6 per million[1]. It is characterized by osteoid material produced by malignant osteoblastic cells. After an initial diagnosis, patients usually receive standard treatment, such as neoadjuvant chemotherapy and surgical resection. Unfortunately, only 60%–70% of the adolescents with non-metastatic OS are cured by standard treatments[2,3]. Although given more intensive upfront systemic treatment using more powerful drugs and maximally aggressive surgery of the primary tumor and all metastatic foci, one-third of the patients ultimately deceased due to respiratory failure because of a poor response to multi-agent chemotherapy and progressive pulmonary metastasis[2]. The challenge is that patients exhibiting a poor histological response to presurgical chemotherapy (tumor necrosis rate <90%) will have a worse prognosis[3]. It is thus important to identify tumor cell-specific biomarkers for the early detection and prognosis, which will hasten appropriate diagnoses and the initiation of therapeutic intervention. Understanding the underlying molecular mechanisms that lead to OS will contribute to the identification of such candidate biomarkers.

Comparative proteomic studies using 2-D gel electrophoresis coupled to mass spectrometric identification has been applied in studies of various cancers, including hepatomas[4], lung cancer[5], prostate[6], and ovarian cancers[7]. The search for markers and vaccines at the protein level is more reliable than at the transcriptional level, as the translation process is often unpredictable and the spatiotemporal in situ localization of a given protein is not often correlated with its in situ expression pattern[8]. Although several genomic studies have been performed using pediatric OS primary tumor tissues or cells[9,10], comparative proteomic studies on OS are rare. Recently, a preliminary investigation on the difference between SaOS-2 and primary osteoblastic cell cultures was performed[11].

Molecular studies of OS face technical challenges of obtaining adequate material after presurgical necrotizing chemotherapy and the need for decalcification of specimens[1]. In addition, the overall rarity of OS significantly contributes to the difficulty in studying OS. The human immortalized osteoblastic cell line carries more similar biological aspects and phenotypes than primary osteoblastic cell cultures compared with OS cell lines. In the present study, we selected 3 human OS cell lines (U2OS, SaOS-2, and IOR/OS9) and the SV40-immortalized normal osteoblastic cell line (hFOB1.19) as a model system. To investigate differences in the protein levels between OS cells and control cells, we performed differential protein level analyses using 2-D gel electrophoresis and matrix-assisted laser desorption/ionization-time of flight (MALDI–TOF) mass spectrometry. We identified 26 proteins, the levels of which were either enhanced or decreased in OS cells relative to the control cells. The overproduction of activator of 90 kDa shock protein ATPase homolog 1 (AHA1) and stomatin-like protein 2 (SLP-2) was further evaluated by Western blot analyses. We demonstrate for the first time that AHA1 is overproduced in OS tumor cells and confirm the overproduction of SLP-2 in OS cells, which was also observed in other tumor cells[12]. The latter proteins and others may be useful in identifying novel biomarkers for OS.


Materials and methods

Reagents and materials Electrophoresis reagents including acrylamide, methylenebisacrylamide, N,N,N',N'-tetramethylethyl-diamide, hydroxymethyl aminomethane (Tris), glycine, SDS, dithiothreitol (DTT), iodoacetamide, α-cyano-4-hydroxy-cinnamic acid, urea, and thiourea were obtained from Sigma-Aldrich (St Louis, MO, USA). 3-(3-[Cholamidopropyl] dimethyl-ammonio)-1-propane-sulfonate (CHAPS), Immobiline DryStrips, Immobilized pH gradient (IPG) buffer, the 2D Clean-up Kit, the 2D Quant Kit, and the Deep Purple Kit were purchased from Amersham Pharmacia (Uppsala, Sweden). Trypsin was obtained from Boehringer Mannheim (Mannheim, Germany).

Dulbecco’s modified Eagle’s medium (DMEM) and fetal bovine serum (FBS) were purchased from Gibco (Carlsbad, CA, USA). Culture plates were obtained from Corning Costar (Corning, NY, USA).

Cell culture Human osteogenic sarcoma cell lines U2OS and SaOS-2, and the normal osteoblastic cell line hFOB1.19 (expressing SV40 large T antigen), were originally obtained from the American Type Culture Collection (Manassas, VA, USA). The IOR/OS9 cell line was a generous gift from Dr Massimo SERRA (Rizzoli Institute, Bologna, Italy). All of the cells were adherent and epithelial. IOR/OS9 was established from a bone metastasis of a high-grade OS[9]. The patient had received chemotherapy with adriamycin, cisplatin, and methotrexate before establishment of the cell line. The OS cell lines were cultured in DMEM, and hFOB1.19 was cultured in a 1:1 mixture of Ham’s F12 medium and DMEM without phenol red and with 2.5 mmol/L L-glutamine and 0.3 mg/mL G418, both containing 10% FBS, 100 units/mL penicillin, and 100 μg/mL streptomycin. All cultures were maintained in 10 cm diameter plates in a humidified atmosphere of 5% CO2 at 37 oC. U2OS, IOR/OS9, and hFOB1.19 cells were passaged every 2 to 3 d, and SaOS-2 cells were passaged every 4 to 5 d. The cells were collected when confluence was obtained.

Sample preparation Monolayers were washed 3 times with 10 mL ice-cold Tris-buffered sucrose (10 mmol/L Tris, 250 mmol/L sucrose; pH 7) and then lysed by incubation for 10 min on ice at room temperature with 300 µL extraction buffer containing 7 mol/L urea, 4% CHAPS, 2 mol/L thiourea, and 30 mmol/L Tris (pH 8.5). The cells were harvested using a cell scraper and sonicated on ice. The cytosolic fraction was separated by centrifugation at 12 000×g for 30 min at 4 oC. The supernatant was collected and stored in aliquots of 500 µL in microcentrifuge tubes at -80 oC. Prior to use, the samples were desalted using the 2D Clean-up Kit, and the protein concentration was determined using the 2D Quant Kit, according to the manufacturer’s instructions.

2-D gel electrophoresis Total cytosolic protein fractions (400 µg) were mixed with 225 µL loading buffer and rehydration buffer containing 7 mmol/L Urea, 2 mmol/L thiourea and 4% CHAPS to be separated using IPG strips and to obtain a final volume of 450 µL. The samples were applied to the gel for re-swelling with a dry IPG of 24 cm, pH 3–10 non-linear gradient strips on an IPGPhor II system (Amersham Pharmacia, Uppsala, Sweden). Complete sample uptake into the strips was achieved after electrophoresis for 12 h at 30 V. Focusing was performed at 500 V for 1 h and at 1000 V for 1 h, and then at 8000 V up to total 85 000 V·h. The current was limited to 50 µA/strip and the temperature was kept at 20 oC for all IEF steps. For SDS-PAGE, the IPG strips were incubated for 15 min twice, once in equilibration buffer A containing 50 mmol/L Tris-HCl (pH 8.8), 6 mol/L urea, 2% SDS, 30% glycerol, and 1% DTT, and once in equilibration buffer B, containing 50 mmol/L Tris-HCl (pH 8.8), 6 mol/L urea, 2% SDS, 30% glycerol, and 2.5% iodoacetamide. Electrophoresis was carried out at 20 oC using an Ettan Daltsix system (Amersham Pharmacia, Uppsala, Sweden) with 25 mmol/L Tris added to the running buffer containing 192 mmol/L glycine and 0.1% SDS, at 2 W/gel for 50 min and at 17 W/gel for almost 5 h, until the bromophenol blue front had reached the bottom of the gel. Samples were run 3 times for 3 independent cell culture experiments.

Analysis of gel images Gels were stained with Deep Purple according to the manufacturer’s instructions. Stained 2-D gels were scanned using Image scanner Typhoon 9400 (Amersham Pharmacia, Uppsala, Sweden) and analyzed using ImageMaster 2D Platinum software 5.0 (Amersham Pharmacia, Uppsala, Sweden). After automatic spot detection, the background was removed from each gel and the images were manually edited (eg adding, splitting, and removing spots). One gel was chosen as the master gel and used for the automatic matching of spots in the other 2-D gel electrophoresis. The average volume of each spot was calculated using 3 gels. 2-D images of the OS cell lines were compared to those obtained using hFOB1.19 cells. Proteins, the levels of which were at least enhanced or decreased by 2.0-fold, were considered as significant (P<0.05 according to Student’s t-test).

In-gel trypsin digestion Spots corresponding to the proteins of interest were excised from the prepared 2-D gels and subjected to fully automated spot handling in an Ettan Spot Handling Workstation (Amersham Pharmacia, Uppsala, Sweden). The gel plugs were removed using a 1.4 µm picking head and destained at room temperature, twice in 50% methanol/50 mmol/L ammonium bicarbonate and once in 75% acetonitrile before drying. The dried gel pieces were rehydrated with 20 µL of 50 mmol/L ammonium bicarbonate (pH 8), containing 20 µg/mL trypsin and allowing protein digestion at 37 oC overnight. The samples were then dried in a vacuum centrifuge and dissolved in 3 µL matrix containing 5 mg/mL recrystallized α-cyano-4-hydroxy-cinnamic acid. In the last step, 0.3 µL dissolved sample was spotted on the target slides.

MALDI-TOF mass-mediated identification and database searching The samples were then analyzed to generate peptide mass fingerprinting (PMF) by an Ettan MALDI-TOF mass spectrometer (Amersham Pharmacia, Uppsala, Sweden) equipped with a 337.1 nm nitrogen laser and the delayed extraction facility. All spectra were acquired in the positive ion reflector mode and an average of 200 laser shots were recorded per sample. Tryptic monoisotopic peptide masses were searched for in the SwissProt database, using Mascot software (http://www.matrixscience.com) with a mass tolerance setting of 100 ppm, one missed cleavage site as fixed parameters, and cysteine carbamidomethylation and methionine oxidation as variable modification.

Western blotting Thirty-microgram aliquots of cell lysates were separated on denaturing 10% polyacrylamide gels, electroblotted onto nitrocellulose membranes (Amer-sham Pharmacia, Uppsala, Sweden), and blocked with 4% skim milk powder in TBS. Subsequently, the membranes were incubated at 4 oC overnight with monoclonal antibodies against AHA1 (1:500 dilution; Santa Cruz Biotechnology, CA, USA) or SLP-2 (1:200 dilution; BD, Bedford, MA, USA) followed by incubation with horseradish peroxidase-conjugated anti-goat or anti-mouse IgG for 1 h, respectively. Thereafter, the membranes were washed with TBS containing 0.05% Tween-20. Signals were developed using an enhanced chemi-luminescence system (Amersham Pharmacia, Uppsala, Sweden).


Results

Evaluation of protein patterns of OS and control cells using 2-D gel electrophoresis 2-D gel electrophoresis was performed 3 times for each cell line (U2OS, SaOS-2, and IOR/OS9) to ensure reproducibility. Approximately 2000 protein spots were detected on the Deep Purple-stained gel by ImageMaster (1885±82 spots in hFOB1.19, 1826±121 spots in U2OS, 1892±81 spots in SaOS-2, and 1870±90 spots in IOR/OS9 protein samples; Figure 1). After matching the patterns obtained by the 3 independent experiments, the patterns of the U2OS, SaOS-2, and IOR/OS9 protein samples were compared with that of hFOB1.19 cells. Several series of proteins, the levels of which appeared to be at least enhanced or decreased by 2-fold in the OS cell lines as compared to the control cells were determined. Among those, we identified AHA1, the level of which increased 12.4-, 24.1-, and 23.8-fold in SaOS-2, IOR/OS9, and U2OS cells, respectively with respect to normal osteoblastic cells (Figure 2, #1732), SLP-2, the level of which increased 10.4- and 7.8-fold in IOR/OS9, and U2OS cells, respectively, but no obvious changes were observed in SaOS-2 cells (Figure 2, #1758). On the contrary, the level of glutathione transferase omega-1 (GSTO-1) decreased 74.1-, 47.2-, and 35.1-fold (Figure 2, #1215), the level of the 52 kDa Ro protein (SS-A) decreased 12.1-, 12.6-, and 45.5-fold (Figure 2, #1459), the level of phosphoacetylglucosamine mutase (PAGM) decreased 9.2-, 11.2-, and 10.8-fold (Figure 2, #1129), and the level of interferon-induced GTP-binding protein Mx (IFI-78K) decreased 24.6-, 22.9-, and 18.2-fold (Figure 2, #892) in SaOS-2, IOR/OS9, and U2OS cells, respectively for hFOB1.19. Fifty-eight differentially-produced proteins of interest were selected for subsequent analysis by mass spectrometry.

Figure 1 Four representative 2-D gel protein maps of hFOB1.19 and OS cells. 2-D gel electrophoresis was performed initially on an immobilized pH 3–10 strip, followed by a second dimensional separation using a 12% gradient polyacrylamide gel. Proteins were visualized with Deep Purple. Twenty-six proteins were identified successfully using MOLDI-TOF mass spectrometry, the levels of which were significantly altered among OS and hFOB1.19 cells and indicated in the 2-D gel images. (A) hFOB1.19; (B) SaOS-2; (C) IOR/OS9; (D) U2OS.
Figure 2 High magnification view of differential protein levels of AHA1 (#1732), SLP-2 (#1758), GSTO-1 (#1215), SS-A (#1459), PAGM (#1129), and IFI-78K (#892) in hFOB1.19, SaOS-2, IOR/OS9, and U2OS cells. Ratios were calculated using an average volume of 3 samples. H1, Sa, Io, and U2 represent hFOB1.19, SaOS-2, IOR/OS9, and U2OS, respectively. Bars indicate a change greater than 2.0-fold.

MALDI-TOF mass spectrometry-mediated protein identification and peptide mass fingerprinting The selected protein spots from the Deep Purple-stained gels were excised and subjected to in-gel tryptic digestion. The extracted peptides were analyzed by MALDI-TOF mass spectrometry to generate PMF. In total, we successfully identified 29 differentially produced protein spots from the 58 spots that were selected. Although some corresponded to the same protein, for example spots #892 and #926 identified as the same protein (interferon-induced GTP-binding protein Mx1), 26 proteins, the levels of which were either enhanced or decreased, were identified by PMF searching against the SwissProt database (Table 1). Spot #1732 was identified as the activator of 90 kDa heat shock protein ATPase homolog 1 (AHA1) by database searching using PMF (Figure 3).

Table 1
Table 1 Identification of differential protein levels in OS and control cells using MALDI-TOF MS.
Full table
Figure 3 Peptide mass fingerprinting of proteins belonging to spot #1732 produced in human OS cells.

Western blot analyses Two over-produced proteins of interest, AHA1 and SLP-2, were selected for further validation by Western blot analyses. The Western blot results confirmed that the level of AHA1 was significantly increased in U2OS, IOR/OS9, and SaOS-2 for hFOB1.19 cells (Figure 4A). Similarly, the level of SLP-2 was significantly increased in U2OS and IOR/OS9, but no obvious changes were observed in SaOS-2 cells (Figure 4B). The results obtained by the Western blots are in accordance with the observations based on the comparative proteomic analyses.

Figure 4 (A) Representative Western blot image demonstrating that AHA1 was significantly overproduced in all 3 OS cell lines (cytosolic fraction) as compared to hFOB1.19 cells. (B) Representative Western blot image demonstrating that SLP-2 was overproduced in IOR/OS9 and U2OS cells, but not in SaOS-2 cells. Tubulin was used as the internal control to indicate equal protein loading in all lanes.

Discussion

The comparative proteomic analysis has been widely accepted as a tool in gaining insight into different protein expressions reflecting complex cellular states, such as tumor versus normal tissue[5]. In this study, we identified 26 proteins, the levels of which were either enhanced or decreased in human OS cells as compared to the SV40-immortalized normal human immortalized osteoblastic cells using 2-D gel electrophoresis coupled to MALDI-TOF mass spectrometry.

We identified 9 up-regulated proteins, among which heterogeneous nuclear ribonucleoprotein K and glycolytic isoenzyme pyruvate kinase type M2 have already been reported as tumor markers contributing to neoplastic transformation[13,14]. The up-regulation of pyruvate kinase in SaOS-2 cells with respect to the primary osteoblastic cultures reported recently[11] supports our observations.

Among the up-regulated proteins, AHA1 increased most significantly in all 3 OS cell lines when compared to hFOB1.19. It is known that AHA1 stimulates the inherent ATPase cycle of Hsp90 and plays a determining role in Hsp90 client protein binding and activation cycle in vivo[1517]. AHA1 and its yeast homolog, Hch1, stimulate the ATPase activity and are the first Hsp90 co-chaperones identified with such activity[18], whereas some other co-chaperones of Hsp90 (Hop, Cdc37, p23) has been reported to inhibit ATPase activity[19]. AHA1 appears to be a general upregulator of Hsp90 function rather than a stage-specific co-chaperone due to its ability to coexist in complexes with early but also with late co-chaperones without interfering with binding or their activity[20]. The presence of Hsp90 with high ATPase activity may facilitate malignant tumor progression[21]. Interestingly, we report here for the first time that AHA1 is up-regulated in OS cells compared to normal osteoblastic cells based on comparative proteomics and further verification using Western blot analyses. Because of the crucial role in the activation and stimulation of Hsp90 ATPase which may be essential for tumor cell growth and/or survival under non-optimal environment through activating multiple and overlapping signaling pathways for Hsp90 facilitating the proper folding, maturation, and activity of a number of oncogenic proteins[22], AHA1 may obviously serve as a novel and effective target for OS therapy.

Furthermore, our studies demonstrate that SLP-2 is up-regulated in U2OS and IOR/OS9 cells, but not in SaOS-2 cells. SLP-2 is a novel and unusual stomatin homologue with unknown functions and is ubiquitously expressed at low levels in human organisms[23]. Thus far, the primary structure of SLP-2 is still not completely elucidated and the etiology of increased SLP-2 expression in human cancers is unknown[12,24]. Based on its homology to stomatin, SLP-2 was predicted to be located in the cytoplasm[25]. Zhang et al[12] detected that SLP-2 was overproduced in human esophageal squamous cell carcinoma, lung cancer, laryngeal cancer, and endometrial adenocarcinoma. Transfection with SLP-2 antisense oligonucleotides inhibited tumor cell growth and proliferation. Our findings suggest that SLP-2 might be a potential candidate biomarker of OS, but more information regarding the role of SLP-2 in tumorigenesis needs to be obtained. Other proteins, the levels of which were significantly increased in the 3 selected OS cell lines, also appear to be candidate biomarkers for OS. We also detected 5 other increased proteins, at least in 1 of the 3 OS cell lines selected, including the Fk506-binding protein 4, calponin-3, 60S acidic ribosomal protein P0, adenosylhomocysteinase, and hydroxymethylglutaryl-CoA synthase.

The comparative proteomic analysis also revealed 17 proteins, the production of which was inhibited in OS cells, which may be valuable for understanding the biochemical mechanisms associated with OS tumorigenesis. This group includes plasminogen activator inhibitor 2 precursor, which was detected as being under-expressed, and has been already reported as tumor marker[26].

We detected a remarkable decrease in the level of GSTO-1, SS-A, PAGM, and IFI-78K in all 3 OS cell lines. GSTO-1 exhibits glutathione-dependent thiol transferase and dehydroascorbate reductase activity and influences the age of onset of both Alzheimer’s and Parkinson’s disease[27]. GSTO-1 also plays a role in regulating the intracellular Ca2+ concentration, potentially by protecting cells from radiation damage and apoptosis induced by Ca2+ mobilization from intracellular stores[28]. Marahatta et al[29] demonstrated that polymorphisms within the GSTO gene act as a risk in some cancers. SS-A presents as an independent serum marker in connective tissue disease[30]. SS-A is detected in some patients with esophageal squamous cell carcinoma[31], but its function remains unknown. The level of IFI-78K was significantly decreased in the 3 OS cell lines, and the level of tryptophanyl-tRNA synthetase was decreased in 2 of the detected cell lines, which may be explained by the fact that hFOB1.19 was SV40-transfected cell line. Although this observation has been reported previously[32], it illustrates the usefulness of differential 2-D gel electrophoresis-based proteomics validity.

The level of several proteins belonging to the intermediate filament family (eg cytokeratin-8, cytokeratin-18, and desin) decreased in all 3 OS cell lines. Loss of CK8, CK18, and CK19 is involved in epithelial-mesenchymal transition in human micrometastatic and primary breast carcinoma cells[33]. Furthermore, we observed that the level of some other proteins that are closely related in the intermediate filament family decreased in at least 1–2 of the OS cell lines selected, including macrophage capping protein, ezrin, WD repeat protein 1, plastin-3, and coronin-1B.

In conclusion, a differential proteomic analysis offers the possibility of directly identifying relative protein levels in OS cells with respect to normal osteoblastic cells. Besides the identification of proteins that may play a role in OS tumor development, maintenance, or metastasis, this method is useful in identifying effective biomarkers for OS which will contribute to strategies for early detection, prognosis, and effective intervention. Future studies with more cell lines and primary tumors are required to confirm and supplement these data and to better clarify the role of AHA1 in the Hsp90 system and the possible impact for use in OS therapy.


Acknowledgements

We thank Dr Massimo SERRA (Rizzoli Institute, Bologna, Italy) for kindly providing OS cell lines and Shao-jun LIU, Wei LIU, Li-na WANG, and Xiao-hui HUANG for technical support.


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Cite this article as: Guo Qc, Shen Jn, Jin S, Wang J, Huang G, Zhang Lj, Yin Jq, Zou Cy, Li Mt. Comparative proteomic analysis of human osteosarcoma and SV40-immortalized normal osteoblastic cell lines1. Acta Pharmacologica Sinica 2007;28(6):850-858. doi: 10.1111/j.1745-7254.2007.00603.x