Dataset Information

Specificity of phosphorylation responses to MAP kinase pathway inhibitors in melanoma cells, experiment 2 of 2

ABSTRACT: We used phosphoproteomics to compare the responses of the ERK1/2 inhibitors, SCH772984 and GDC0994, and the MKK1/2 inhibitor, trametinib. These are compared with responses to the MKK1/2 inhibitor, selumetinib (AZD6244), previously measured by our lab in the same metastatic melanoma cell line. In three replicate experiments, we quantified a total of 12,805 class I phosphosites on 3,819 proteins in the trametinib-SCH772984-DMSO experiment, and 7,074 class I phosphosites on 2,453 in the GDC0994-SCH772984-DMSO experiment. This included 466 phosphosites that reproducibly decreased in response to at least one inhibitor in the trametinib-SCH772984-DMSO experiment and 414 phosphosites in the GDC0994-SCH772984-DMSO experiment. The results demonstrate linearity in signaling through the MAP kinase pathway. By comparing multiple inhibitors targeted to multiple tiers of protein kinases in the MAPK pathway, we gain insight into regulation and new targets of the oncogenic BRAF driver pathway in cancer cells, and a useful approach for evaluating the specificity of drugs and drug candidates. SILAC Experimental Design Experiment 1 Replicate 1: Heavy – DMSO, Medium – SCH772984, Light – Trametinib Replicate 2: Heavy – SCH772984, Medium – Trametinib, Light – DMSO Replicate 3: Heavy – Trametinib, Medium – DMSO, Light – SCH772984 SILAC Experimental Design Experiment 2 Replicate 1: Heavy – DMSO, Medium – SCH772984, Light – GDC0994 Replicate 2: Heavy – SCH772984, Medium – GDC0994, Light – DMSO Replicate 3: Heavy – GDC0994, Medium – DMSO, Light – SCH772984 File List 1. Zipped MaxQuant search results folder containing index and output folders for each raw file, ‘combined’ output folder, and mqpar.xml MaxQuant search parameters file 2. Individual raw files of phosphopeptide-enriched ERLIC fractions 3. Zipped MaxQuant version used for analysis 4. FASTA file containing Uniprot human identifications 5. Instructions for viewing annotated spectra

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Monocyte, Cell Culture

DISEASE(S): Melanoma

SUBMITTER: Joel Basken

LAB HEAD: Natalie G. Ahn

PROVIDER: PXD007621 | Pride | 2018-01-02

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	Gdc0994-Sch772984-Dmso_MaxQuant_search_results_output.zip	Other
	Instructions_for_viewing_annotated_spectra.txt	Txt
	JMB20151102_20150619_GdcSchR2_overfill1_2_direct_5uL_frac4.raw	Raw
	JMB20151102_20150619_GdcSchR2_overfill1_2_direct_5uL_frac5.raw	Raw
	JMB20151102_20150619_GdcSchR2_overfill1_2_direct_5uL_frac6.raw	Raw

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Project description:We used phosphoproteomics to compare the responses of the ERK1/2 inhibitors, SCH772984 and GDC0994, and the MKK1/2 inhibitor, trametinib. These are compared with responses to the MKK1/2 inhibitor, selumetinib (AZD6244), previously measured by our lab in the same metastatic melanoma cell line. In three replicate experiments, we quantified a total of 12,805 class I phosphosites on 3,819 proteins in the trametinib-SCH772984-DMSO experiment, and 7,074 class I phosphosites on 2,453 in the GDC0994-SCH772984-DMSO experiment. This included 466 phosphosites that reproducibly decreased in response to at least one inhibitor in the trametinib-SCH772984-DMSO experiment and 414 phosphosites in the GDC0994-SCH772984-DMSO experiment. The results demonstrate linearity in signaling through the MAP kinase pathway. By comparing multiple inhibitors targeted to multiple tiers of protein kinases in the MAPK pathway, we gain insight into regulation and new targets of the oncogenic BRAF driver pathway in cancer cells, and a useful approach for evaluating the specificity of drugs and drug candidates. SILAC Experimental Design Experiment 1 Replicate 1: Heavy – DMSO, Medium – SCH772984, Light – Trametinib Replicate 2: Heavy – SCH772984, Medium – Trametinib, Light – DMSO Replicate 3: Heavy – Trametinib, Medium – DMSO, Light – SCH772984 SILAC Experimental Design Experiment 2 Replicate 1: Heavy – DMSO, Medium – SCH772984, Light – GDC0994 Replicate 2: Heavy – SCH772984, Medium – GDC0994, Light – DMSO Replicate 3: Heavy – GDC0994, Medium – DMSO, Light – SCH772984 File List 1. Zipped MaxQuant search results folder containing index and output folders for each raw file, ‘combined’ output folder, and mqpar.xml MaxQuant search parameters file 2. Individual raw files of phosphopeptide-enriched ERLIC fractions and total protein fractions 3. Zipped MaxQuant version used for analysis 4. FASTA file containing Uniprot human identifications 5. Instructions for viewing annotated spectra

Project description:We used mass spectrometry-based proteomics to unravel anaplastic lymphoma kinase (ALK) signaling in the ALK and MYCN amplified neuroblastoma cell line, NB1. We specifically measured the ALK interactome, phosphoproteome, phosphotyrosine interactome and proteome as outlined below. ALK Interactome and phosphoproteome: For each experiment, three SILAC conditions (‘Light’: Lys0,Arg0, ‘Medium’: Lys4,Arg6, ‘Heavy’: Lys8,Arg10) of NB1 cells were treated for 30 minutes with each of the following ALK-targeting small-molecule inhibitors: TAE684 (100 nM), crizotinib (500 nM), and LDK378 (250 nM). The experiments were performed as specified below: Experiment 1: Light: 500 nM crizotinib, Medium: 100 nM TAE684, Heavy: 0.1% DMSO Experiment 2: Light: 100 nM TAE684, Medium: 250 nM LDK378, Heavy: 0.1% DMSO Experiment 3: Light: 250 nM LDK378, Medium: 500 nM crizotinib, Heavy: 0.1% DMSO These three triple-SILAC experiments allowed the effect of each inhibitor to be measured in duplicates. ALK phosphotyrosine interactome: To identify phosphotyrosine-specific interaction partners of ALK we used a label-free mass spectrometry-based proteomics approach. Interacting proteins to the peptide sequences (phosphorylated and non-phosphorylated peptide) indicated in the table below were identified by a peptide pull-down assay and mass spectrometry. Peptide pull-downs were performed on NB1 cell lysate prepared from cells treated for 30 minutes with LDK378 (250 nM) or DMSO. Each peptide pull-down was performed on lysates from two biological replicates. Sample name (raw file) Gene Uniprot Site Peptide sequence A1 ALK Q9UM73 pY1078 ELQSPEpYKLSKLR A2 ALK Q9UM73 pY1092 RTIMTDpYNPNYSF A3 ALK Q9UM73 pY1096 TDYNPNpYSFAGKT A4 ALK Q9UM73 pY1131 GAFGEVpYEGQVSG A5 ALK Q9UM73 pY1278 GMARDIpYRASYYR A6 ALK Q9UM73 pY1282 DIYRASpYYRKGGS A7 ALK Q9UM73 pY1283 IYRASYpYRKGGSA A8 ALK Q9UM73 pY1359 RSPGPVpYRIMTQS A9 ALK Q9UM73 pY1507 RLWNPTpYGSWFTE A10 ALK Q9UM73 pY1584 RSGNVNpYGYQQQG A11 ALK Q9UM73 pY1604 APGAGHpYEDTILK A12 ALK Q9UM73 Y1078 ELQSPEYKLSKLR B1 ALK Q9UM73 Y1092 RTIMTDYNPNYSF B2 ALK Q9UM73 Y1096 TDYNPNYSFAGKT B3 ALK Q9UM73 Y1131 GAFGEVYEGQVSG B4 ALK Q9UM73 Y1278 GMARDIYRASYYR B5 ALK Q9UM73 Y1282 DIYRASYYRKGGS B6 ALK Q9UM73 Y1283 IYRASYYRKGGSA B7 ALK Q9UM73 Y1359 RSPGPVYRIMTQS B8 ALK Q9UM73 Y1507 RLWNPTYGSWFTE B9 ALK Q9UM73 Y1584 RSGNVNYGYQQQG B10 ALK Q9UM73 Y1604 APGAGHYEDTILK C3 IRS2 Q9Y4H2 pY675 SSRSDDpYMPMSPA C4 IRS2 Q9Y4H2 pY742 SPEDSGpYMRMWSG C5 IRS2 Q9Y4H2 pY978 RSPLSDpYMNLDFS C6 IRS2 Q9Y4H2 Y675 SSRSDDYMPMSPA C7 IRS2 Q9Y4H2 Y742 SPEDSGYMRMWSG C8 IRS2 Q9Y4H2 Y978 RSPLSDYMNLDFS Additional explanations to MS raw files: -1 extension indicates Control (DMSO lysate) replicate 1. -2 extension indicates LDK378 (treated lysate) replicate 1. -3 extension indicates Control (DMSO lysate) replicate 2. -4 extension indicates LDK378 (treated lysate) replicate 2. Proteome: The NB1 cell line proteome was measured by a label-free mass spectrometry-based approach. The analysis was performed in two biological replicates.

Project description:We developed a pulse-chase variant of SILAC (stable isotope labeling by amino acids in cell culture pcSILAC). pcSILAC can quantitate in one experiment and for two conditions the relative levels of proteins newly synthesized in a given time as well as the relative levels of remaining preexisting proteins. We validated the method studying the drug-mediated inhibition of the Hsp90 molecular chaperone, which is known to lead to increased synthesis of stress response proteins as well as the increased decay of Hsp90 “clients”. We showed that pcSILAC can give information on changes in global cellular proteostasis induced by treatment with the inhibitor, which are normally not captured by standard relative quantitation techniques. Furthermore, we have developed a mathematical model and computational framework that uses pcSILAC data to determine degradation constants kd and synthesis rates Vs for proteins in both control and drug-treated cells. The results show that Hsp90 inhibition induced a generalized slowdown of protein synthesis and an increase in protein decay. Treatment with the inhibitor also resulted in widespread protein-specific changes in relative synthesis rates, together with variations in protein decay rates. The latter were more restricted to individual proteins or protein families than the variations in synthesis. Our results establish pcSILAC as a viable workflow for the mechanistic dissection of changes in the proteome which follow perturbations. Methods : two cultures of Jurkat cells to be compared were fully labeled with, respectively, “medium” (13C6-L-arginine, R6) and “heavy” (13C615N4-L-arginine, R10) Arg, while Lys was left unlabeled (“light”, K0) for both. At the start of the experiment, both cultures were transferred to new media containing light Arg (R0) to perform the chase of R-labeled pre-existing proteins. In turn, the new media contained, respectively, “medium” (“M”, 2H4-Lysine, K4) and “heavy” (“H”, 13C615N2-L-lysine, K8) Lys, to label all newly synthesized proteins for the pulse measurements. At the same time or after medium exchange, one of the cultures was subjected to a perturbation (here, treatment with 1 uM Geldanamycin ). Extracts from control and drug-treated cells were then harvested at defined time points and mixed equimolarly. Proteins were digested with the FASP protocol, separated into 24 fractions by off-gel isoelectric focusing and analysed by nano-LC-MS/MS on an Orbitrap Velos Instrument. Data were analysed as triplex SILAC using MaxQuant and peptide spectrum matches were filtered at 1% FDR. Output tables were processed further with custom-made perl scripts and then used as input for the mathematical model. All subsequent data treatment steps were done with MatLab as described in the article. RAW DATA FILES: 1) pcSILAC experiment 2, replicate 2 (data presented in article) : 3 time points t=6,12,20h ID Description 4957 Mix= M/L (DMSO) + H/L(Geldanamycin); t=6h 5052 Mix= M/L (DMSO) + H/L(Geldanamycin); t=12h 4884 Mix= M/L (DMSO) + H/L(Geldanamycin); t=20h 2) pcSILAC experiment 1, replicate 2 (data presented in supplementary files to article) ID Description 4733 Mix= M/L (DMSO) + H/L(Geldanamycin); t=6h 4912 Mix= M/L (DMSO) + H/L(Geldanamycin); t=12h 4803 Mix= M/L (DMSO) + H/L(Geldanamycin); t=20h 3) stSILAC experiment 1 (internal stSILAC control done within pcSILAC exp. 1 ; data presented in supplementary files to article) ID Description 4731 Mix= M (DMSO) + H(Geldanamycin); t=6h 4734 Mix= M (DMSO) + H(Geldanamycin); t=20h

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Specificity of phosphorylation responses to MAP kinase pathway inhibitors in melanoma cells, experiment 2 of 2

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