Dataset Information

Model data for the evaluation of dependent-peptide visualisation tools

ABSTRACT: Dependent peptide searching is a method for detecting modified peptides using data from shotgun proteomics analyses. We have developed a set of tools for visualising the results of dependent-peptide searches (as performed in MaxQuant). The tools were developed using four sets of search results: two sets for a sample of N-ethylmaleimide-treated bovine serum albumin (BSA), and two sets for a corresponding control sample (replicates = different LC-MS/MS analyses). This submission includes our raw data, MaxQuant output files, and a *.fasta file containing the sequence of mature BSA. An accompanying *.csv file summarises the structure of the data set.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Bos Taurus (bovine)

SUBMITTER: George Preston

LAB HEAD: Claudia S. Maier

PROVIDER: PXD013040 | Pride | 2020-06-22

REPOSITORIES: pride

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Publications

Visualisation tools for dependent peptide searches to support the exploration of in vitro protein modifications.

Preston George W GW Yang Liping L Phillips David H DH Maier Claudia S CS

PloS one 20200708 7

Dependent peptide searching is a method for discovering covalently-modified peptides-and therefore proteins-in mass-spectrometry-based proteomics experiments. Being more permissive than standard search methods, it has the potential to discover novel modifications (e.g., post-translational modifications occurring in vivo, or modifications introduced in vitro). However, few studies have explored dependent peptide search results in an untargeted way. In the present study, we sought to evaluate depe ...[more]

PMID: 32639981

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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

			Action	DRS
	072617_GPOSU_03E_DDA1.raw	Raw
	072617_GPOSU_03E_DDA2.raw	Raw
	072617_GPOSU_03F_DDA1.raw	Raw
	072617_GPOSU_03F_DDA2.raw	Raw
	4f5s_A.fasta	Fasta