Literature DB >> 33377056

Secret3D Workflow for Secretome Analysis.

Vittoria Matafora1, Angela Bachi1.   

Abstract

Secretome analysis is crucial to unravel extracellular processes. However, secreted proteins are difficult to detect in mass-spectrometry-based analysis due to contamination of serum proteins deriving from cell culture media and to high glycosylation, which hampers tryptic digestion. Secret3D workflow is an optimized protocol for the global analysis of secretome from in vitro cultured cells. It allows efficient and robust protein identification and quantitation and provides information on putative N-glycosylation sites of the secreted proteins. For complete details on the use and execution of this protocol, please refer to Matafora et al. (2020).
© 2020 The Author(s).

Entities:  

Keywords:  Cancer; Proteomics

Mesh:

Substances:

Year:  2020        PMID: 33377056      PMCID: PMC7757356          DOI: 10.1016/j.xpro.2020.100162

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


Before You Begin

Prepare Medium and Heavy Cell Media for Cell Culture

Timing: can be made before starting cell culture Use Dulbecco Modified Eagle's Medium DMEM deprived of arginine and lysine + 5% FBS Dialyzed + 2 mM L-Glutamine or RPMI-1640 deprived of arginine and lysine + 10% FBS Dialyzed + 2 mM L-Glutamine according to cell type and supplemented with medium- and heavy-labeled amino acids, added at the concentration originally contained in the media. The medium culture contains arginine (L-Arg 13C6-14N4) and lysine (L-Lys-4,4,5,5-D4) and the heavy culture contains arginine (L-Arg 13C6-15N4) and lysine (L-Lys 13C6-15N2) amino acids (Ong et al., 2002).

Incorporate Medium- and Heavy-Labeled Amino Acids into the Proteome of Cultured Cells

Timing: 1–2 weeks Cells are cultured in the labeled medium for at least five cell divisions to obtain full incorporation of the labeled amino acids in their proteome.

Perform Incorporation Test

Timing: 1 day Analyze the proteome of a small aliquot of cell lysate to check the level of incorporation of labeled arginine and lysine (Harsha et al., 2008). CRITICAL: The incorporation level should be at least 95%, otherwise the quantitation is biased toward the light condition. If the cells are not fully incorporated, the culture in medium and heavy cell media should be continued until full incorporation is reached.

Starve the Cells in Serum-free Medium

Timing: 1 day Equal numbers of cells are split into 15 cm dishes at roughly 50% confluence. Once cell lines reach ∼70% confluence, one 15-cm dishes of each cell line is washed 3× with PBS and 3× with serum-free media. Cells are starved in serum-free medium for 18 h.

Check Cells Viability upon Serum Starvation

Timing: 2 h Collect the medium for the analysis of the secreted proteins (secretome). The remaining adherent cells are collected by trypsinization and used for viability assay. CRITICAL: Viability ≥95% is accepted, avoid dead cells that might contaminate the secretome.

Key Resources Table

Materials and Equipment

Tris 100 mM buffered to pH 8.0 (Tris-HCl), urea 8 M is required. This buffer is for the solubilization of secreted proteins. TCEP solution 1 M and chloroacetamide 1 M in Tris-HCl are required to reduce and alkylate disulfide bonds of cysteine residues. Ammonium bicarbonate 50 mM is required to solubilize trypsin, phosphate buffer pH 7.8 is used to solubilize Glu-C, while NaCl 0.5 M solution is required to elute peptides from the filter. Solvent A (2% ACN, 0.1% formic acid) and solvent B (80% ACN, 0.1% formic acid) are required for nanoLC separation of the purified peptides. The Bradford Assay can be used for protein quantification, but any other similar methods could also be used. For mass spectrometry analysis, high-resolution Q-Exactive HF mass spectrometer connected to the EASY-nLC 1000 HPLC system (Thermo Fisher Scientific) allows the proteomic analysis of secreted proteins, but also other high-resolution mass spectrometers could be used. Data analysis software required: Xcalibur 4.0, MaxQuant 1.6, Perseus 1.5. MaxQuant software (1.5.2.8) and Perseus software (version 1.5.6.0) are used for the analysis showed below; however, other versions are suited for the quantitative analysis.

Step-By-Step Method Details

Seeding Cells (Day 0)

Timing: approximately 30 min This step describes how to seed the medium- or heavy-labeled IGR37 or IGR39 melanoma cell line. Remove and discard culture medium from the pre-cultured IGR37 or IGR39 melanoma cells in 15 cm dish. Wash attached cells with 10 mL of autoclaved phosphate buffered saline (PBS) for three times to remove serum (Troubleshooting 1). Add 1.0 mL of 0.05% Trypsin-EDTA solution, incubate at 37°C for 3–5 min and observe cells under an inverted microscope. If required, extend the incubation time until all the cells detach from the plastic dish. Add 9.0 mL of complete medium- or heavy-labeled growth medium and aspirate cells by gently pipetting. Transfer the cell suspension into a 15 mL conical centrifuge tube and centrifuge at 250 × g for 5 min at 25°C (Troubleshooting 2). Remove and discard culture medium and suspend the cell pellet in 1.0 mL complete medium- or heavy-labeled growth medium and check the cell number using a cell counter. Seed 1 × 106 cells in 10 mL complete medium- or heavy-labeled growth medium into one 15 cm dish. generally, by seeding 1 × 106 cells more than 2 × 106 cells are collected at day 2. If not, seed more than one plate for each sample. depending on the cell type, 1 × 106 cells may look sparse, in this case seed at least at 50% confluency.

Cells Starvation in Serum-free Medium (Day 1)

Timing: 30 min This step describes how to eliminate serum proteins from the medium. Remove and discard the culture medium. Wash the attached cells with 10 mL of autoclaved PBS for three times. Wash the attached cells with 10 mL of medium- or heavy-labeled growth medium deprived of fetal bovine serum (FBS) for three times. Add 10 mL of medium- or heavy-labeled growth medium FBS deprived, starve the cells for 18 h.

Secretome Preparation (Day 2)

Timing: 3 h This step describes how to prepare the secreted proteins extract. Collect the medium from 2 × 106 cells previously starved in serum-free medium for 18 h. Centrifuge at 250 × g for 5 min to eliminate dead cells. Filter the supernatant with 0.22 μm filters. Mix the heavy and medium secretomes 1:1. Concentrate the secreted proteins by using microcon filters with 10 kDa cutoff (Millipore) (capacity 15 mL) until 500 μL. Centrifuge at 4,500 × g for 10 min (Figure 1A).
Figure 1

Concentration and Buffer Exchange of Secreted Proteins

(A) Concentration of the cell culture medium. The solution in the lower part of the Falcon tube is discarded, while secreted proteins, present in the upper part, are concentrated to 500 μL.

(B) Further concentration of the secretome. The solution at the bottom of the tube is discarded, while secreted proteins, present in the upper part of the filter and indicated by the arrow, are concentrated to 30 μL.

Concentration and Buffer Exchange of Secreted Proteins (A) Concentration of the cell culture medium. The solution in the lower part of the Falcon tube is discarded, while secreted proteins, present in the upper part, are concentrated to 500 μL. (B) Further concentration of the secretome. The solution at the bottom of the tube is discarded, while secreted proteins, present in the upper part of the filter and indicated by the arrow, are concentrated to 30 μL. if the volume of the combined secretomes exceeds the microcon capacity, load the sample in steps of 15 mL each until the entire volume is loaded on the filter. Denature proteins by changing the buffer with urea 8 M Tris-HCl 100 mM at pH 8 (urea buffer) as follows. Add urea buffer on the top of the microcon filter, centrifuge at 9,300 × g for 10 min and discard the flow through. Perform at least three washes with 5 mL of urea buffer or until the solution become transparent. Transfer the secreted protein extract (generally about 500 μL) into an Eppendorf tube and sonicate with BIORUPTOR (3 cycles: 30 s on/30 s off). the sonication step is important to destroy proteins aggregates and to release proteins from extracellular vesicles allowing proteins to be properly solubilized. Quantify proteins concentration by using Bradford assay. Troubleshooting 3 in our experiments, 2 × 106 cells produce more than 30 μg of secreted proteins. This amount is sufficient for the MS analysis. Pause Point: The secreted protein extract can be stored at −80°C for at least several weeks.

Secretome De-glycosylation and Proteolytic Digestion (Day 2)

Timing: 2 days This step describes how to reduce and alkylate cysteines of secreted proteins and how to perform proteins de-glycosylation and double digestion. By using smaller (about 400 μL capacity) microcon filters with 10 kDa cutoff (Millipore), reduce the volume of 30 μg of secreted proteins to 30 μL. Add the secreted proteins on the top of the filter (Figure 1B). Centrifuge 10 min at 9,300 × g at 25°C. Discard the flow through. As the secretome will be more than 400 μL, load the secreted proteins in steps of 400 μL each until the entire sample is loaded. Leave the proteins on the filter and perform cysteines reduction and alkylation adding TCEP 10 mM and 2-Chloroacetamide 40 mM in urea buffer on the top of the filter and incubate for 30 min at 25°C. Specifically, add 200 μL of urea buffer to the filter plus 8 μL of 2-Chloroacetamide 1 M and 2 μL of TCEP 1 M. After 30 min, centrifuge 10 min at 9,300 × g at 25°C. Discard the flow through. Exchange buffer by centrifugation at 9,300 × g for 10 min with 200 μL of buffer G (dilution buffer provided with the enzyme) and add 1.5 μL PNGase F (500 units/μl) for 1 h in 100 μL of buffer G at 25°C following manufacturer’s instruction. Exchange again buffer by centrifugation at 9,300 × g for 10 min with 300 μL ammonium bicarbonate 50 mM for two times and digest with trypsin (1:50 = enzyme: secreted proteins) dissolved in 100 μL ammonium bicarbonate 50 mM for 12–18 h at 37°C. Peptides are recovered at the bottom of the microcon filters by centrifugation at 9,300 × g for 10 min and by adding two consecutive washes of 50 μL of NaCl 0.5 M. Exchange again buffer by centrifugation at 9,300 × g for 10 min with 300 μL phosphate buffer (pH 7.8) for two times and add Glu-C (1:50 = enzyme: secreted proteins) dissolved in 100 μL of phosphate buffer (pH 7.8) on the top of the filters to further digest polypeptides. Peptides are recovered at the bottom of the microcon filters by centrifugation at 9,300 × g for 10 min. trypsin- and Glu-C-digested peptides are analyzed separately at the MS and pooled together in MaxQuant analysis.

Peptides Purification and LC-MS/MS (Day 4)

Timing: 2 days or more (depending on the number of samples to be analyzed) This step describes how to purify peptides and LC-MS/MS analysis. Eluted peptides are purified on a C18 StageTip (Rappsilber et al., 2007). 3 μg of digested sample are injected onto a quadrupole Orbitrap Q-Exactive HF mass spectrometer (Thermo Scientific). Pause Point: The peptide samples can be stored at −20°C for a few weeks. Peptides separation is achieved on a linear gradient from 95% solvent A (2% ACN, 0.1% formic acid) to 55% solvent B (80% ACN, 0.1% formic acid) over 75 min (Figure 2) and from 55% to 100% solvent B in 3 min at a constant flow rate of 0.25 μL/min on UHPLC Easy-nLC 1000 (Thermo Scientific) where the LC system is connected to a 23-cm fused-silica emitter of 75 μm inner diameter (New Objective, Inc. Woburn, MA, USA), packed in-house with ReproSil-Pur C18-AQ 1.9 μm beads (Dr Maisch Gmbh, Ammerbuch, Germany) using a high-pressure bomb loader (Proxeon, Odense, Denmark).
Figure 2

TIC (Upper Panel) and Base Peak Chromatogram (Lower Panel) of a Typical Secretome MS Analysis

TIC (Upper Panel) and Base Peak Chromatogram (Lower Panel) of a Typical Secretome MS Analysis The mass spectrometer is operated in DDA mode: dynamic exclusion enabled (exclusion duration = 15 s), MS1 resolution = 70,000, MS1 automatic gain control target = 3 × 106, MS1 maximum fill time = 60 ms, MS2 resolution = 17,500, MS2 automatic gain control target = 1 × 105, MS2 maximum fill time = 60 ms, and MS2 normalized collision energy = 25. For each cycle, one full MS1 scan range = 300–1,650 m/z (Figure 2), was followed by 12 MS2 scans using an isolation window of 2.0 m/z. MS analysis is performed as reported in Matafora et al., 2020. Raw MS files are processed with MaxQuant software, making use of the Andromeda search engine (Cox et al., 2011). MS/MS peak lists are searched against the UniProtKB complete proteome database depending on the samples origin. Searches are performed on both trypsin- and Glu-C-digested peptides analyzed together for each sample by selecting, as fixed modification, alkylation of cysteine by carbamidomethylation, while, as variable modifications, oxidation of methionine, N-terminal acetylation, and N-Deamination. For R and K amino acids, multiplicity is set to 2 and modifications including medium- heavy-labeled R and K are considered. Trypsin and Glu-C specificity are used with up to two missed cleavages allowed. Mass tolerance is set to 5 ppm and 10 ppm for parent and fragment ions, respectively. Andromeda generates a reverse decoy database used to calculate the False Discovery Rate (FDR), which is set to <0.01 for peptide spectrum matches (PSMs). For identification, a minimum of two peptides identified per protein is required, of which at least one has to be unique to the protein group. The minimum ratio count used for quantification is 2 (Troubleshooting 4). LC-MS/MS parameters and post data analysis may vary depending on the instruments and software available in each laboratory.

Expected Outcomes

Generally, from 2 × 106 cells as starting material, the amount of secreted proteins recovered is about 30 μg. The amount of recovered proteins strongly depends on the cell type, i.e., proficient secretory cells or non-secretory cells. With the Secret3D workflow, the MS analysis of the digested proteins usually leads to the identification of roughly 2,000 proteins. We have analyzed more than ten different cell lines and the number of proteins identified is comparable (Matafora et al., 2020). Here we report as an example a list of the top 50 most abundant proteins identified by Secret3D in IGR37 melanoma metastatic cells (heavy-labeled) versus IGR39 primitive melanoma cells (medium labeled) (Table 1). Notably, both cell lines are labeled either medium or heavy, therefore the only source of light labeled proteins is the serum. MaxQuant provides the list of proteins identified and quantified in heavy and medium conditions, but also the light condition. By comparing H/L and M/L ratios contaminant proteins coming from serum can be monitored in both samples, while, analyzing the H/M ratios, the IGR37 and IGR39 secretome abundances can be directly compared. For each protein identified, the number of H/M ratio counts is the number of peptide spectrum matches for which heavy/medium pairs were detected; the higher is this number, the better is the quantitation. Moreover, intensity values give an estimation of proteins abundance in each sample, this intensity is the summed intensity of all peptide matches for each protein (modified or not unique peptides are not taken in account).
Table 1

Example of Quantitation and Analysis of the Top 50 Proteins Identified by Secret3D in IGR37 Cells (Heavy Labeled) and IGR39cells (Medium Labeled)

Protein IDProtein NameGene NameIntensity Ratio H/MCount Ratio H/MIntensity MIntensity H
P02649apolipoprotein EAPOE2.80E+041785.83E+096.45E+11
Q08380galectin-3-binding proteinLGALS3BP2.30E+00532.22E+112.83E+11
P07093-2glia-derived nexinSERPINE22.30E+00301.83E+111.91E+11
P11047laminin subunit γ-1LAMC11.10E+00432.02E+111.38E+11
P08670vimentinVIM1.10E+00522.63E+111.22E+11
O43852calumeninCALU1.60E+00481.56E+111.21E+11
O60568procollagen-lysine,2-oxoglutarate 5-dioxygenase 3PLOD33.00E+00538.55E+101.16E+11
C9J2H1inter-α-trypsin inhibitor heavy chain H5ITIH59.00E+00273.25E+101.12E+11
G3XAI2laminin subunit β-1LAMB11.20E+00701.48E+119.18E+10
Q96RW7hemicentin-1HMCN11.70E+0099.24E+109.12E+10
P10451-4osteopontinSPP17.20E+00103.17E+109.08E+10
P07237Protein disulfide-isomeraseP4HB1.20E+00781.55E+118.57E+10
A0A0A0MTC7laminin subunit α-4LAMA41.00E+00191.50E+118.46E+10
P62805histone H4HIST1H4A3.80E+01233.27E+097.89E+10
P06733α-enolaseENO11.50E+00501.42E+117.85E+10
P60709actin, cytoplasmic 1ACTB1.10E+00971.96E+117.85E+10
P24821tenascinTNC7.60E-01611.84E+117.65E+10
Q6UVK1chondroitin sulfate proteoglycan 4CSPG43.10E+00674.17E+107.17E+10
P02787serotransferrinTF1.40E+01227.38E+097.16E+10
U3KQK0histone H2BHIST1H2BN3.40E+01173.16E+097.08E+10
A0A087WTA8collagen α-2(I) chainCOL1A22.70E+0197.01E+096.57E+10
P05067-11amyloid β A4 proteinAPP1.60E+00115.80E+106.44E+10
P1102178 kDa glucose-regulated proteinHSPA59.40E-01601.29E+116.03E+10
Q16610extracellular matrix protein 1ECM13.00E+00103.19E+105.74E+10
P30101protein disulfide-isomerase A3PDIA31.00E+00651.17E+115.70E+10
J3KPS3fructose-bisphosphate aldolase AALDOA1.20E+00391.12E+115.58E+10
Q8IUX7adipocyte enhancer-binding protein 1AEBP13.70E+00112.56E+105.55E+10
P00338L-lactate dehydrogenase A chainLDHA8.20E-01541.64E+115.45E+10
P07996Thrombospondin-1THBS11.70E-01495.50E+115.09E+10
P98160basement membrane-specific heparan sulfate proteoglycanHSPG21.60E+00125.51E+105.01E+10
D3DQH8SPARCSPARC8.40E-01161.15E+114.93E+10
P01023α-2-macroglobulinA2M3.50E-01882.69E+114.87E+10
P6225814-3-3 protein epsilonYWHAE9.20E-01281.19E+114.72E+10
A0A087X0S5collagen α-1(VI) chainCOL6A13.40E-01492.63E+114.38E+10
A0A0A6YY95C-type lectin domain family 11 member ACLEC11A1.20E+0251.30E+094.31E+10
P26038moesinMSN1.10E+00347.93E+104.29E+10
O94985calsyntenin-1CLSTN11.10E+00106.47E+104.14E+10
Q16769glutaminyl-peptide cyclotransferaseQPCT1.30E+03475714200004.01E+10
K7EK07Histone H3H3F3B7.30E+01121.79E+093.92E+10
P18065insulin-like growth factor-binding protein 2IGFBP21.50E+00125.21E+103.89E+10
P00558phosphoglycerate kinase 1PGK12.60E+00303.54E+103.81E+10
P07900heat shock protein HSP 90-alphaHSP90AA19.40E-01471.17E+113.76E+10
P11142heat shock cognate 71 kDa proteinHSPA88.50E-01569.86E+103.70E+10
P13667protein disulfide-isomerase A4PDIA41.10E+00406.33E+103.65E+10
Q99988growth/differentiation factor 15GDF151.50E+03631.58E+093.41E+10
O43707α-actinin-4ACTN45.30E-01521.66E+113.41E+10
P07195L-lactate dehydrogenase B chainLDHB9.70E-01408.36E+103.29E+10
P02545-2prelamin-A/CLMNA3.30E-01611.95E+113.11E+10
Q96JB6lysyl oxidase homolog 4LOXL41.70E+0042.75E+103.03E+10
Example of Quantitation and Analysis of the Top 50 Proteins Identified by Secret3D in IGR37 Cells (Heavy Labeled) and IGR39cells (Medium Labeled) Proteins identified by Secret3D were verified as belonging to the extracellular space (Figure 3A) by mapping the identified proteins in the subcellular localization database Compartments (https://compartments.jensenlab.org/Search). Moreover, most of the identified proteins were also found in the human cancer secretome database (HCSD) (Feizi et al., 2015), attesting that Secret3D is suitable for secretome analysis (Figure 3B). Further, about one third of the secreted proteins identified were also predicted as secreted or transmembrane proteins in the Human Proteins Atlas database (www.proteinatlas.org) (Figure 3C) (Uhlén, et al. 2015).
Figure 3

Subcellular Component Analysis of Secreted Proteins Identified by Secret3D Workflow

(A) Subcellular localization analysis performed by using the Compartments database.

(B) Venn diagram comparing the secreted proteins identified by Secret3D with the human cancer secretome database.

(C) Venn diagram comparing the secreted proteins identified by Secret3D and predicted secreted and transmembrane proteins in the Human Proteins Atlas Database.

Subcellular Component Analysis of Secreted Proteins Identified by Secret3D Workflow (A) Subcellular localization analysis performed by using the Compartments database. (B) Venn diagram comparing the secreted proteins identified by Secret3D with the human cancer secretome database. (C) Venn diagram comparing the secreted proteins identified by Secret3D and predicted secreted and transmembrane proteins in the Human Proteins Atlas Database. Secreted3D is also able to provide information about the putative N-glycosylation sites of the identified secretome. Modified peptides are about 25%–30% of all identified peptides (Figure 4). As spontaneous deamination of asparagine can occur also without PNGase F participation, the glycosylated sites identified by N-deamidation in MS analysis need further validation (Palmisano et al. 2012).
Figure 4

Analysis of Asn Deamidated Peptides in IGR37 versus IGR39 Cell Lines

Upper panel: Venn diagram indicating the modified peptides and total peptides identified. Lower panel: MS/MS spectrum of a tenascin glycosylated peptide.

Analysis of Asn Deamidated Peptides in IGR37 versus IGR39 Cell Lines Upper panel: Venn diagram indicating the modified peptides and total peptides identified. Lower panel: MS/MS spectrum of a tenascin glycosylated peptide. Moreover, Secret3D leads to an increased protein sequence coverage compared to traditional methods, which do not include de-glycosylation and double digestion (Figure 5).
Figure 5

Sequence Coverage Analysis

Comparison of the sequence coverage of the proteins identified in IGR37 versus IGR39 cell lines by Secret3D or by a method without de-glycosylation and double digestion. t test: ∗∗∗∗p < 0.00001.

Sequence Coverage Analysis Comparison of the sequence coverage of the proteins identified in IGR37 versus IGR39 cell lines by Secret3D or by a method without de-glycosylation and double digestion. t test: ∗∗∗∗p < 0.00001.

Quantification and Statistical Analysis

SILAC ratios from DDA .raw files are calculated by MaxQuant software. The statistical analysis is performed by using Perseus software included in the MaxQuant package. t test, Volcano plot, and ANOVA statistical analyses are performed depending on the experimental design. FDR <0.05 or p-value <0.05 is applied. KEGG enrichment pathway analysis is performed via EnrichR (http://amp.pharm.mssm.edu/Enrichr), using the Gene ID of the identified proteins. As an example, we report here the Volcano plot of the secretome of metastatic (H) versus primitive (L) melanoma cell lines (Figure 6).
Figure 6

Example of Volcano Plot Representation of Significantly Modulated Proteins (Red Dots)

Intensity Ratio H/L of the proteins identified in metastatic (H) versus primitive (L) melanoma cell lines and p values are reported in the graph. The analysis was performed on three biological replicates. t test analysis, FDR <0.05, was used to select significant proteins.

Example of Volcano Plot Representation of Significantly Modulated Proteins (Red Dots) Intensity Ratio H/L of the proteins identified in metastatic (H) versus primitive (L) melanoma cell lines and p values are reported in the graph. The analysis was performed on three biological replicates. t test analysis, FDR <0.05, was used to select significant proteins. At least three biological replicates for each condition are required.

Limitations

Secret3D protocol can be applied only to cell lines that are able to grow in conditioned medium. There are some cell lines that suffer when BSA is removed. Therefore, we recommend verifying cell viability upon conditioning. Viability has to be at least 95%. This protocol is not suited for tissues. This protocol is used to compare secretome from two different samples (medium versus heavy) but can modified for larger experiments including more than two conditions (see paragraph below).

Troubleshooting

Problem 1

Secretome analysis of more than two conditions or multiple cell lines (step 2).

Potential Solution

All the cells are heavy labeled, are run separately at the MS, and are treated in MaxQuant as for label free analysis (considering only heavy-labeled proteins).

Problem 2

Cell viability is under 95% (step 5). Reduce the conditioning time, 12 h instead of 18 h.

Problem 3

Cells secrete low amount of proteins (step 15). Start with more cells or increase time of conditioning, checking cell viability.

Problem 4

Secretome contains albumin contamination (step 25). Increase washing before cell starvation.

Resource Availability

Lead Contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by Angela Bachi (angela.bachi@ifom.eu).

Materials Availability

This study did not generate any unique materials or reagents.

Data and Code Availability

Proteomic datasets produced in this study are available in the following databases: Proteomics Identification database PeptideAtlas http://www.peptideatlas.org/, code PASS01358.
REAGENT or RESOURCESOURCEIDENTIFIER
Chemicals, Peptides, and Recombinant Proteins

Heavy L-arginine-13C6,15N4 HClIsotec (Sigma)Cat#608033-500 MG
Heavy L-lysine-13C6,15N2 2HClCambridge Isotope LaboratoriesCat#CILCLM-291-0.25
Medium L-arginine-13C6 HClCambridge Isotope LaboratoriesCat#CILCLM-2265-05
Medium L-lysine-4,4,5,5-D4 2HClCambridge Isotope LaboratoriesCat#CILCLM-2640-0.5
2-ChloroacetamideSigma-AldrichCat#C0267
Ammonium bicarbonateSigma-AldrichCat#09830
AcetonitrileFisher ChemicalCat#A955-4
Formic acidFisher ChemicalCat#A117-50
Tris hydrochloride Tris-HClSigma-AldrichCat#10812846001
Sodium chlorideSigma-AldrichCat#S7653-250G
Phosphate buffered saline PBSSigma-AldrichCat#P5493
TCEPThermo scientificCat#20490
Buffer GNew England BiolabsCat#P0704S
PNGase FNew England BiolabsCat#P0704S
Trypsin, Sequencing Grade, modifiedROCHECat#11 418 025 001
Endoproteinase Glu-C Sequencing GradeROCHECat#11420399001
DMEM, high glucose, no glutamine, no lysine, no arginineThermo Fisher ScientificCat#A1443101
RPMI Medium (lysine and arginine depleted)Thermo Fisher ScientificCat#88365
FBS Dialyzed USA OriginInvitrogenCat#26400044

Critical Commercial Assays

BradfordApplied BiosystemsCat#4368814

Deposited Data

.RAW files were deposited together with all peptides identified and parameters used for the analysisPeptide Atlas repositoryhttp://www.peptideatlas.org/PASS01358

Experimental Models: Cell Lines

IGR37DSMZCat#ACC-237
IGR39DSMZCat#ACC-239

Software and Algorithms

Microsoft Excel 2010Microsoft OfficeN/A
MaxQuantMax Planck Institute of Biochemistryhttps://www.maxquant.org/maxquant/
PerseusMax Planck Institute of Biochemistryhttps://www.maxquant.org/perseus/
  8 in total

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Authors:  H C Harsha; Henrik Molina; Akhilesh Pandey
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

2.  Andromeda: a peptide search engine integrated into the MaxQuant environment.

Authors:  Jürgen Cox; Nadin Neuhauser; Annette Michalski; Richard A Scheltema; Jesper V Olsen; Matthias Mann
Journal:  J Proteome Res       Date:  2011-02-22       Impact factor: 4.466

3.  Proteomics. Tissue-based map of the human proteome.

Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

4.  Chemical deamidation: a common pitfall in large-scale N-linked glycoproteomic mass spectrometry-based analyses.

Authors:  Giuseppe Palmisano; Marcella N Melo-Braga; Kasper Engholm-Keller; Benjamin L Parker; Martin R Larsen
Journal:  J Proteome Res       Date:  2012-02-22       Impact factor: 4.466

5.  Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips.

Authors:  Juri Rappsilber; Matthias Mann; Yasushi Ishihama
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

6.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

7.  HCSD: the human cancer secretome database.

Authors:  Amir Feizi; Amir Banaei-Esfahani; Jens Nielsen
Journal:  Database (Oxford)       Date:  2015-06-14       Impact factor: 3.451

8.  Amyloid aggregates accumulate in melanoma metastasis modulating YAP activity.

Authors:  Vittoria Matafora; Francesco Farris; Umberto Restuccia; Simone Tamburri; Giuseppe Martano; Clara Bernardelli; Andrea Sofia; Federica Pisati; Francesca Casagrande; Luca Lazzari; Silvia Marsoni; Emanuela Bonoldi; Angela Bachi
Journal:  EMBO Rep       Date:  2020-08-04       Impact factor: 8.807

  8 in total
  2 in total

1.  Optimization of artificial urine formula for in vitro cellular study compared with native urine.

Authors:  Kanyarat Sueksakit; Visith Thongboonkerd
Journal:  Int J Med Sci       Date:  2021-07-23       Impact factor: 3.738

2.  Therapeutic potential of parkin as a tumor suppressor via transcriptional control of cyclins in glioblastoma cell and animal models.

Authors:  Lila Rouland; Eric Duplan; Lígia Ramos Dos Santos; Aurore Bernardin; Karen S Katula; Guidalberto Manfioletti; Ahmed Idbaih; Frédéric Checler; Cristine Alves da Costa
Journal:  Theranostics       Date:  2021-11-01       Impact factor: 11.556

  2 in total

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