Trypsin-induced proteome alteration during cell subculture in mammalian cells
© Huang et al; licensee BioMed Central Ltd. 2010
Received: 19 March 2010
Accepted: 11 May 2010
Published: 11 May 2010
It is essential to subculture the cells once cultured cells reach confluence. For this, trypsin is frequently applied to dissociate adhesive cells from the substratum. However, due to the proteolytic activity of trypsin, cell surface proteins are often cleaved, which leads to dysregulation of the cell functions.
In this study, a triplicate 2D-DIGE strategy has been performed to monitor trypsin-induced proteome alterations. The differentially expressed spots were identified by MALDI-TOF MS and validated by immunoblotting.
36 proteins are found to be differentially expressed in cells treated with trypsin, and proteins that are known to regulate cell metabolism, growth regulation, mitochondrial electron transportation and cell adhesion are down-regulated and proteins that regulate cell apoptosis are up-regulated after trypsin treatment. Further study shows that bcl-2 is down-regulated, p53 and p21 are both up-regulated after trypsinization.
In summary, this is the first report that uses the proteomic approach to thoroughly study trypsin-induced cell physiological changes and provides researchers in carrying out their experimental design.
Plasma membrane proteins are responsible for a wide variety of functions essential to maintaining normal physiological activities. For example, when EGF receptor families, a group of proteins located in the plasma membrane that act as growth receptors, transmit external signals into the cell interior, cell's physiological activities are often altered in response to external signals. In addition, adhesive proteins, such as the cadherin families  in the cell membrane, provide anchors to link cytoskeleton proteins with extracellular matrix to regulate cell migration and cell adhesion. The dysregulations of membrane proteins cause numerous diseases such as during tumorigenesis, malignant transformation of epithelial cells frequently attends with loss of E-cadherin expression and induction of expression of mesenchymal membrane proteins like N-cadherin [2, 3]. Moreover, mutations of ErbB-2 receptors lead to the occurrence of gastric cancer  and hepatocellular cancer .
Two-dimensional gel electrophoresis (2-DE) has been widely used for profiling cellular proteins and some of the nonionic and zwitterionic detergents such as thiourea and CHAPS have been introduced to increase the solubility of the proteins. In addition, a significant improvement of gel-based analysis of protein quantifications and detections is the introduction of 2D-DIGE. 2D-DIGE is able to co-detect numerous samples in the same 2-DE to minimize gel-to-gel variation and compare the protein features across different gels by means of an internal fluorescent standard. This innovative technology relies on the pre-labeling of protein samples before electrophoresis with fluorescent dyes Cy2, Cy3 and Cy5 each exhibiting a distinct fluorescent wavelength to allow multiple experimental samples to include an internal standard. Thus, the samples can be simultaneously separated in one gel. The internal standard, which is a pool of an equal amount of the experimental protein samples, can facilitate the data accuracy in normalization and increase statistical confidence in relative quantitation across gels [6–10].
The primary step in adherent-cell-subculture is to detach cells from the substratum as the cells reach high confluence. Trypsin is often applied for this purpose. Cells are subsequently subdivided and reseeded into fresh cultures. However, the proteolytic activity of trypsin may harm cells by cleaving the cell surface growth factor receptors or membrane proteins. Hence, this study describes a 2D-DIGE strategy to perform cellular proteins labeling for the monitoring of trypsin-induced proteome alterations in mammalian cells.
2. Materials and Methods
Chemicals and Reagents
Generic chemicals were purchased from Sigma-Aldrich (St. Louis, USA), while reagents for 2D-DIGE were purchased from GE Healthcare (Uppsala, Sweden). All primary antibodies were purchased from Abcam (Cambridge, UK) and secondary antibodies were purchased from GE Healthcare (Uppsala, Sweden). All chemicals and biochemicals used were of analytical grade. Fetal calf serum (FCS), antibiotics and trypsin were purchased from Invitrogen (all from Gibco-Invitrogen Corp., UK).
Cell lines and cell cultures
The breast cancer cell line MCF-7 and cervical cancer cell line Hela were both purchased from American Type Culture Collection (ATCC), Manassas, VA. Both cell lines were maintained in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% (v/v) fetal calf serum (FCS), L-glutamine (2 mM), streptomycin (100 μg/mL), and penicillin (100 IU/mL) (all from Gibco-Invitrogen Corp., UK). Non-enzymatical cell dissociation solution was purchased from Sigma and 0.05% EDTA-Trypsin was purchased from Gibco-Invitrogen Corp. Cells were incubated in a humidified incubator at 37°C and 5% CO2.
Cell trypsinization and CyDye labeling for 2D-DIGE analysis
The cellular protein labeling strategy was performed according to the protocol described previously with some modifications . Once 90% of confluence is reached, MCF-7 and Hela cells were washed with Hank's balance salt solution (HBSS), detached with non-enzymatical cell dissociation solution and centrifuged for 5 min at 800 x g. The cell pellet was firstly washed with 1 ml ice cold HBSS pH8.3, and then resuspended in 200 μl of 2-DE lysis buffer containing 4% w/v CHAPS, 7 M urea, 2 M thiourea, 10 mM Tris-HCl, pH8.3 and 1 mM EDTA. Before performing 2D-DIGE, protein samples were labeled with N-hydroxy succinimidyl ester-derivatives of the cyanine dyes Cy2, Cy3 and Cy5. Briefly, 150 μg of protein sample was minimally labeled with 375 pmol of either Cy3 or Cy5 for comparison on the same 2-DE. To facilitate image matching and cross-gel statistical comparison, a pool of all samples was also prepared and labeled with Cy2 at a molar ratio of 2.5 pmol Cy2 per μg of protein as an internal standard for all gels. Thus, the triplicate samples and the internal standard could be run and quantify on multiple 2-DE. The labeling reactions were performed in the dark on ice for 30 min and then quenched with a 20-fold molar ratio excess of free L-lysine to dye for 10 min. The differentially Cy3- and Cy5-labeled samples were then mixed with the Cy2-labeled internal standard and reduced with dithiothreitol for 10 min. IPG buffer, pH3-10 nonlinear (2% (v/v), GE Healthcare) was added and the final volume was adjusted to 450 μl with 2D-lysis buffer for rehydration. The rehydration process was performed with immobilized non-linear pH gradient (IPG) strips (pH3-10, 24 cm) which were later rehydrated by CyDye-labeled samples in the dark at room temperature overnight (at least 12 hours). Isoelectric focusing was then performed using a Multiphor II apparatus (GE Healthcare) for a total of 62.5 kV-h at 20°C. Strips were equilibrated in 6 M urea, 30% (v/v) glycerol, 1% SDS (w/v), 100 mM Tris-HCl (pH8.8), 65 mM dithiothreitol for 15 min and then in the same buffer containing 240 mM iodoacetamide for another 15 min. The equilibrated IPG strips were transferred onto 26 x 20-cm 12.5% polyacrylamide gels casted between low fluorescent glass plates. The strips were overlaid with 0.5% (w/v) low melting point agarose in a running buffer containing bromophenol blue. The gels were run in an Ettan Twelve gel tank (GE Healthcare) at 4 Watt per gel at 10°C until the dye front had completely run off the bottom of the gels. Afterward, the fluorescence 2-DE was scanned directly between the low fluorescent glass plates using an Ettan DIGE Imager (GE Healthcare). This imager is a charge-coupled device-based instrument that enables scanning at different wavelengths for Cy2-, Cy3-, and Cy5-labeled samples. Gel analysis was performed using DeCyder 2-D Differential Analysis Software v7.0 (GE Healthcare) to co-detect, normalize and quantify the protein features in the images. Features detected from non-protein sources (e.g. dust particles and dirty backgrounds) were filtered out. Spots displaying a × 1.5 average-fold increase or decrease in abundance with a p-value < 0.05 were selected for protein identification.
Colloidal coomassie blue G-250 staining was used to visualize Cy dye-labeled protein features in 2-DE according the protocol described in [11–13]. Briefly, bonded gels were fixed in 30% v/v ethanol, 2% v/v phosphoric acid overnight, washed three times (30 min each) with ddH2O and then incubated in 34% v/v methanol, 17% w/v ammonium sulphate, 3% v/v phosphoric acid for 1 hr., prior to adding 0.5 g/liter coomassie blue G-250. The gels were then left to stain for 5-7 days. No destaining step was required. The stained gels were then imaged on an ImageScanner III densitometer (GE Healthcare), which processed the gel images as .tif files.
Excised post-stained gel pieces were washed three times with 50% acetonitrile, dried in a SpeedVac for 20 min., reduced with 10 mM dithiothreitol in 5 mM ammonium bicarbonate pH 8. 0 (AmBic) for 45 min at 50°C and then alkylated with 50 mM iodoacetamide in 5 mM AmBic for 1 hr. at room temperature in the dark. Gel pieces were then washed three times in 50% acetonitrile and vacuum-dried before reswelling with 50 ng of modified trypsin (Promega) in 5 mM AmBic. The pieces were then overlaid with 10 μl of 5 mM AmBic and trypsinized for 16 hr at 37°C. Supernatants were collected, peptides were further extracted twice with 5% trifluoroacetic acid in 50% acetonitrile and the supernatants pooled. Peptide extracts were vacuum-dried, resuspended in 5 μl ddH2O and stored at -20°C prior to MS analysis.
Protein identification by MALDI-TOF MS
MALDI-TOF MS with generated peptide mass fingerprinting was used for protein identification. Briefly, 0.5 μl of tryptic digested protein sample was mixed with 0.5 μl of matrix solution containing α-cyano-4-hydroxycinammic acid at a concentration of 1 mg in 1 ml of 50% acetonitrile (v/v)/0.1% trifluoroacetic acid (v/v), spotted onto a anchorchip target plate (Bruker Daltonics) and dried. The peptide mass fingerprints were acquired using an Autoflex III mass spectrometer (Bruker Daltonics) in reflector mode. The spectrometer was calibrated with a peptide calibration standard (Bruker Daltonics) and internal calibration was performed using trypsin autolysis peaks at m/z 842.51 and m/z 2211.10. Peaks in the mass range m/z 800-3000 were used to generate a peptide mass fingerprint that was searched against the updated Swiss-Prot/TrEMBL database (v56.5) with 402482 entries on December 19, 2008 using Mascot software v2.2.04 (Matrix Science, London, UK). The parameters used for the search were: Homo sapiens; tryptic digest with a maximum of 1 missed cleavage; carbamidomethylation of cysteine, partial protein N-terminal acetylation, partial methionine oxidation and partial modification of glutamine to pyroglutamate and a mass tolerance of 50 ppm. Identification was accepted based on significant MASCOT Mowse scores (p < 0.05).
Immunoblotting was used to validate the differential expression of mass spectrometry identified proteins. Membrane fraction extracts were briefly lysed with 2-DE lysis buffer prior to protein quantification with Coomassie Protein Assay Reagent (BioRad). 30 μg of protein samples were diluted in Laemmli sample buffer (final concentrations: 50 mM Tris pH 6.8, 10% (v/v) glycerol, 2% SDS (w/v), 0.01% (w/v) bromophenol blue) and separated by 1D-SDS-PAGE according to standard procedures. After electroblotting of separated proteins onto 0.45 μm Immobilon P membranes (Millipore), the membranes were blocked with 5% w/v skimmed milk in TBST (50 mM Tris pH 8.0, 150 mM NaCl and 0.1% Tween-20 (v/v)) for 1 hr. Membranes were then incubated in primary antibody solution in TBS-T containing 0.02% (w/v) sodium azide for 2 hrs. Membranes were washed in TBS-T (3 x 10 min) and then probed with the appropriate horseradish peroxidase-coupled secondary antibody (GE Healthcare). After further washes in TBS-T, immunoprobed proteins were visualized using an enhanced chemiluminescence method (Visual Protein Co.).
2D-DIGE analysis of the trypsin-induced differentially expressed proteins
Validation of identified proteins by immunoblotting
Detection of trypsin-induced differential protein expression in cervical cancer cells
Functional expression profiles of the identified differentially expressed proteins
Differential protein expression in adhesive cell subculture with trypsin has not been discussed thoroughly in previous studies. However, due to the proteolytic activity of trypsin, membrane proteins of the cell might be damaged which results in cellular dysfunctions. Hence, a CyDye labeling 2D-DIGE technique, along with MALDI-TOF MS identification, was performed in this study, and 36 proteins revealed a significant expression change due to trypsinization. Moreover, the proteomic results demonstrated that trypsinization down-regulated growth- and metabolism-related protein expressions and up-regulated apoptosis-related protein expressions. These findings implied that trypsin used for cell subculture had a remarkable adverse effect on cell physiology. Notably, some of these trypsin-induced differentially expressed proteins were reversible while a portion of these proteins remains dysregulated even after a 24-hr recovery in fresh medium.
Proteomic analysis of the trypsin-induced differentially expressed proteins in MCF-7 indicated that numerous differentially expressed proteins are involved in the chaperon functions (HSP-60, HSP-90 beta, Protein disulfide-isomerase A3) implying trypsinization might induce a stress response on culture cells. These chaperon proteins have been reported to be cell surface located [14–16] and cell surface located chaperons also play crucial roles in mediating integrin activations in breast cancer cells . In addition, one of the most important findings in this study is that trypsinization decreases the growth- and metabolism-related protein expression levels and increases the apoptosis-related protein expression levels. This observation is not only confirmed by the immunoblotting result (Figure 6), but also verified by MALDI-TOF, which indicate that trypsinization decreases the expression levels of proteins involved in DNA replication (Proliferating cell nuclear antigen and RuvB-like 1), RNA splicing (Heterogeneous nuclear ribonucleoprotein A1 and Heterogeneous nuclear ribonucleoproteins A2/B1) and mitochondria metabolism (3-hydroxyacyl-CoA dehydrogenase type-2, ATP synthase subunit beta, Calcium-binding mitochondrial carrier protein SCaMC-1, Delta(3,5)-Delta(2,4)-dienoyl-CoA isomerase, Glutamate dehydrogenase 1 and NADH dehydrogenase). In contrast, trypsinization promotes the overexpression of voltage-dependent anion-selective channel protein 1 and voltage-dependent anion-selective channel protein 2. These proteins play essential roles in the increase of mitochondrial membrane permeability and lead to cell apoptosis  (Figure 5 and Additional file 1). Importantly, it is essential to know whether the trypsinization-induced protein alterations in MCF-7 cells are commonly recognized in other cell types. Therefore, the other cell line, Hela cell was used for further investigation and the results showed that trypsinization-induced protein alterations in MCF-7 cells are mostly comparable in Hela cells.
In conclusion, 2D-DIGE based proteomics analysis serves as a useful tool to monitor trypsin-induced cell proteome alterations in this study. Trypsinization has shown to down-regulate growth- and metabolism-related protein expression and up-regulate apoptosis-related protein expression. This study helps researchers who work in the cell signaling and cell biology fields to carefully examine the impact of trypsin in carrying out their experimental design.
one-dimensional gel electrophoresis
two-dimensional gel electrophoresis
colloidal coomassie blue
differential gel electrophoresis
fetal calf serum
- MALDI-TOF MS:
matrix assisted laser desorption ionization-time of flight mass spectrometry
This work was supported by grant NSC 97-2311-B-007-005 from the National Science Council, Taiwan, grant CMU-NTHU Joint Research No.98N2443E1 and grant VGHUST98-P5-15 & VGHUST99-P5-22 Veteran General Hospitals University System of Taiwan Joint Research Program. The authors thank the assistance of Dr Cheng-Chin Kuo (National Health Research Institute) for DIGE image scanning support.
- Peralta SA, Knudsen KA, Tecson-Miguel A, McBrearty FX, Han AC, Salazar H: Expression of E-cadherin and N-cadherin in surface epithelial-stromal tumors of the ovary distinguishes mucinous from serous and endometrioid tumors. Hum Pathol. 1997, 28: 734-739. 10.1016/S0046-8177(97)90184-2.View ArticleGoogle Scholar
- Rosivatz E, Becker I, Bamba M, Schott C, Diebold J, Mayr D, Hofler H, Becker KF: Neoexpression of N-cadherin in E-cadherin positive colon cancers. Int J Cancer. 2004, 111: 711-719. 10.1002/ijc.20317.View ArticlePubMedGoogle Scholar
- Kuphal S, Bosserhoff AK: Influence of the cytoplasmic domain of E-cadherin on endogenous N-cadherin expression in malignant melanoma. Oncogene. 2006, 25: 248-259. 10.1038/sj.onc.1209508.View ArticlePubMedGoogle Scholar
- Lee JW, Soung YH, Kim SY, Park WS, Nam SW, Kim SH, Lee JY, Yoo NJ, Lee SH: ERBB2 kinase domain mutation in a gastric cancer metastasis. APMIS. 2005, 113: 683-687. 10.1111/j.1600-0463.2005.apm_284.x.View ArticlePubMedGoogle Scholar
- Bekaii-Saab T, Williams N, Plass C, Calero MV, Eng C: A novel mutation in the tyrosine kinase domain of ERBB2 in hepatocellular carcinoma. BMC Cancer. 2006, 6: 278-10.1186/1471-2407-6-278.PubMed CentralView ArticlePubMedGoogle Scholar
- Timms JF, Cramer R: Difference gel electrophoresis. Proteomics. 2008, 8: 4886-4897. 10.1002/pmic.200800298.View ArticlePubMedGoogle Scholar
- Westermeier R, Scheibe B: Difference gel electrophoresis based on lys/cys tagging. Methods Mol Biol. 2008, 424: 73-85. full_text.View ArticlePubMedGoogle Scholar
- Marouga R, David S, Hawkins E: The development of the DIGE system: 2D fluorescence difference gel analysis technology. Anal Bioanal Chem. 2005, 382: 669-678. 10.1007/s00216-005-3126-3.View ArticlePubMedGoogle Scholar
- Lai TC, Chou HC, Chen YW, Lee TR, Chan HT, Shen HH, Lee WT, Lin ST, Lu YC, Wu CL, Chan HL: Secretomic and Proteomic Analysis of Potential Breast Cancer Markers by Two-Dimensional Differential Gel Electrophoresis. J Proteome Res. 2010, 9: 1302-1322. 10.1021/pr900825t.View ArticlePubMedGoogle Scholar
- Chou HC, Chen YW, Lee TR, Wu FS, Chan HT, Lyu PC, Timms JF, Chan HL: Proteomics study of oxidative stress and Src kinase inhibition in H9C2 cardiomyocytes: A cell model of heart ischemia reperfusion injury and treatment. Free Radic Biol Med. 2010,Google Scholar
- Chan HL, Gaffney PR, Waterfield MD, Anderle H, Peter MH, Schwarz HP, Turecek PL, Timms JF: Proteomic analysis of UVC irradiation-induced damage of plasma proteins: Serum amyloid P component as a major target of photolysis. FEBS Lett. 2006, 580: 3229-3236. 10.1016/j.febslet.2006.05.002.View ArticlePubMedGoogle Scholar
- Chan HL, Gharbi S, Gaffney PR, Cramer R, Waterfield MD, Timms JF: Proteomic analysis of redox- and ErbB2-dependent changes in mammary luminal epithelial cells using cysteine- and lysine-labelling two-dimensional difference gel electrophoresis. Proteomics. 2005, 5: 2908-2926. 10.1002/pmic.200401300.View ArticlePubMedGoogle Scholar
- Chan HL, Chou HC, Duran M, Gruenewald J, Waterfield MD, Ridley A, Timms JF: Major role of EGFR and SRC kinases in promoting oxidative stress-dependent loss of adhesion and apoptosis in epithelial cells. J Biol Chem. 2009, 285: 4307-4318. 10.1074/jbc.M109.047027.PubMed CentralView ArticlePubMedGoogle Scholar
- Shin BK, Wang H, Yim AM, Le Naour F, Brichory F, Jang JH, Zhao R, Puravs E, Tra J, Michael CW, Misek DE, Hanash SM: Global profiling of the cell surface proteome of cancer cells uncovers an abundance of proteins with chaperone function. J Biol Chem. 2003, 278: 7607-7616. 10.1074/jbc.M210455200.View ArticlePubMedGoogle Scholar
- Jang JH, Hanash S: Profiling of the cell surface proteome. Proteomics. 2003, 3: 1947-1954. 10.1002/pmic.200300563.View ArticlePubMedGoogle Scholar
- Mayrhofer C, Krieger S, Allmaier G, Kerjaschki D: DIGE compatible labelling of surface proteins on vital cells in vitro and in vivo. Proteomics. 2006, 6: 579-585. 10.1002/pmic.200500104.View ArticlePubMedGoogle Scholar
- Barazi HO, Zhou L, Templeton NS, Krutzsch HC, Roberts DD: Identification of heat shock protein 60 as a molecular mediator of alpha 3 beta 1 integrin activation. Cancer Res. 2002, 62: 1541-1548.PubMedGoogle Scholar
- Tsujimoto Y, Shimizu S: The voltage-dependent anion channel: an essential player in apoptosis. Biochimie. 2002, 84: 187-193. 10.1016/S0300-9084(02)01370-6.View ArticlePubMedGoogle Scholar
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