Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dataset used to guide the development of Scout and bechmark XL-MS search engines

ABSTRACT: This submission includes the raw data analyzed and search results described in our manuscript “Proteome-Scale Recombinant Standards And A Robust High-Speed Search Engine To Advance Cross-Linking MS-Based Interactomics”. In this study, we develop a strategy to generate a well-controlled XL-MS standard by systematically mixing and cross-linking recombinant proteins. The standard can be split into independent datasets, each of which has the MS2-level complexity of a typical proteome-wide XL-MS experiment. The raw datasets included in this submission were used to (1) guide the development of Scout, a machine learning-based search engine for XL-MS with MS-cleavable cross-linkers (batch 1), test different LC-MS acquisition methods (batch 2), and directly compare Scout to widely used XL-MS search engines (batches 3 and 4).

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Max Ruwolt

LAB HEAD: Fan Liu

PROVIDER: PXD052022 | Pride | 2024-08-03

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	264_plus_300_plus_1460human.fasta	Fasta
	264_plus_300human.fasta	Fasta
	26S_proteasome_yeast.fasta	Fasta
	4000_random_mito_plus_Ecoli_entrapment.fasta	Fasta
	540_plus_3460human.fasta	Fasta

Items per page:

1 - 5 of 162

Similar Datasets

Proteome-scale recombinant standard datasets for XL-MS

Project description:This submission includes the complete set of raw data generated from the analytical standard, the concept of which is described in our manuscript "Proteome-Scale Recombinant Standards And A Robust High-Speed Search Engine To Advance Cross-Linking MS-Based Interactomics". In this study, we develop a strategy to generate a well-controlled XL-MS standard by systematically mixing and cross-linking recombinant proteins. The standard can be split into independent datasets, each of which has the MS2-level complexity of a typical proteome-wide XL-MS experiment. This submission includes 5 raw datasets (batches 1-5), each comprising 64 randomly selected human proteins engaging in up to 224 allowed protein-protein interactions per dataset. The data were searched with Scout (v. 1.4.14, https://github.com/diogobor/Scout) and results are reported in mzIdentML 1.2.0 format. For the specific results reported in our original publication, please refer to PXD042173.

2024-08-06 | PXD042173 | Pride

Cross-linking mass spectrometry analysis of trimeric complex of CRM1, SNP1 and RanGTP cross-linked with BS3

Project description:An X-ray crystallography structure of the trimeric nuclear export complex of CRM1, SNP1 and RanGTP is available on the PDB database with the ID 3GJX. To get an XL-MS dataset of a clean sample of a stable protein complex for benchmarking purposes, another sample from the protein expression, purification and complex assembly employed in the crystallography study was also cross-linked and analyzed by mass spectrometry. The tools OpenPepXL, pLink 2, Kojak, StavroX, XiSearch and xQuest were used to analyze this dataset with comparable search settings.

2020-10-20 | PXD014359 | Pride

The linear ubiquitin chain assembly complex LUBAC generates heterotypic ubiquitin chains

Project description:The linear ubiquitin chain assembly complex (LUBAC) is the only known ubiquitin ligase that generates linear/Met1-linked ubiquitin chains. One of the LUBAC components, HOIL-1L, was recently shown to catalyse oxyester bond formation between the C-terminus of ubiquitin and some substrates. However, oxyester bond formation in the context of LUBAC has not been directly observed. We present the first 3D reconstruction of LUBAC obtained by electron microscopy and report its generation of heterotypic ubiquitin chains containing linear linkages with oxyester-linked branches. We found that addition of the oxyester-bound branches depends on HOIL-1L catalytic activity. We suggest a coordinated ubiquitin relay mechanism between the HOIP and HOIL-1L ligases supported by cross-linking mass spectrometry data, which show proximity between the catalytic RBR domains. Mutations in the linear ubiquitin chain-binding NZF domain of HOIL-1L reduces chain branching confirming its role in the process. In cells, these heterotypic chains were induced by TNF. In conclusion, we demonstrate that LUBAC assembles heterotypic ubiquitin chains with linear and oxyester-linked branches by the concerted action of HOIP and HOIL-1L.

2021-06-28 | PXD019771 | Pride

Real-time library search assisted identification of cross-links increases resolution for structural modeling and interactome mapping

Project description:Cross-linking mass spectrometry (XL-MS) is a universal tool of molecular and structural biology for probing structural dynamics and protein-protein interactions in vitro and in vivo. Although cross-linked peptides are naturally less abundant than their unlinked counterparts, recent experimental advances improved cross-link identification by enriching the cross-linker modified peptides chemically with the use of enrichable cross-linkers. However, mono-links (i.e., peptides modified with a hydrolyzed cross-linker) still hinder efficient cross-link identification because a large proportion of measurement time is spent on MS2 acquisitions of mono-links. Currently, cross-links and mono-links cannot be separated by sample preparation techniques or chromatography because they are chemically almost identical. Here, we found that based on the intensity ratios of four diagnostic peaks when using PhoX/tert-butyl-PhoX cross-linkers, cross-links and mono-links can be partially distinguished. Harnessing their characteristic intensity ratios for real-time library search (RTLS)-based triggering of full scans increased the number of cross-link identifications from both single protein samples and intact E. coli cells. Furthermore, RTLS improves cross-link identification from unenriched samples and short gradients, which is beneficial in high-throughput approaches and when instrument time or sample amount is limited.

2023-03-20 | PXD037652 | Pride

Reanalysis of a synthetic cross-linked peptide library with OpenPepXL for benchmarking purposes

Project description:Reanalysis of a synthetic crosslinked peptide library dataset. The three replicates of the XL-MS experiment with the non-cleavable cross-linker DSS from the dataset published in Beveridge et al., Nature Commun., 2020 (PRIDE project PXD014337) were searched with the XL-MS identification tool OpenPepXL for benchmarking purposes.

2020-10-20 | PXD021417 | Pride

Reanalysis of Cross-Linking Mass Spectrometry data from a ribisomal cellular fraction for benchmarking purposes

Project description:Reanalysis of a cross-linked ribosomal cellular fraction dataset, that is a subset of a fragmentation parameters optimization dataset (PRIDE project PXD006131). The HCD fragmented part of the dataset was searched with the Cross-Linking MS identification tools OpenPepXL, pLink2, Kojak and XiSearch.

2020-10-20 | PXD014520 | Pride

An experimentally generated peptide database increases the sensitivity in XL-MS of complex samples

Project description:The application of non-cleavable cross-linkers to complex samples in XL-MS workflows is limited by the n² problem, a quadratic expansion of the search space with increasing database size. Here, a peptide-focused approach is proposed, for which cross-linking peptide candidates are identified in a parallel experiment by using a thiol-cleavable cross-linker with equal reactivity. Samples are reduced and alkylated, thereby releasing cross-linked peptides with a variable modification on the initially cross-linked residue. Modified peptides are identified by database search and concatenated to a peptide database, which is finally used for the analysis of the sample cross-linked with a non-cleavable cross-linker. This way, the search space is dramatically reduced leading to a higher sensitivity, because there is less chance for random hits to false positive sequences. The approach was benchmarked on cross-linked purified protein complexes (20 S Proteasome, yeast PolII, and TFIIH), and in vivo cross-linked bacteria (Bacillus subtilis, Bacillus cereus) by comparing it to the conventional approach of searching against the protein sequences.

2020-03-26 | PXD016554 | Pride

Optimized TMT-based quantitative cross-linking mass spectrometry strategy for large-scale interactomic studies

Project description:Cross-linking mass spectrometry is a powerful method for the investigation of protein-protein interactions from highly complex samples. XL-MS combined with tandem mass tag labeling holds the promise of large-scale PPI quantification. However, a robust and efficient TMT-based XL-MS quantification method has not yet been established due to the lack of a benchmarking dataset and thorough evaluation of various MS parameters. To tackle these limitations, we generate a two-interactome dataset by spiking-in TMT-labeled cross-linked E. coli lysate into TMT-labeled cross-linked HEK293T lysate using a defined mixing scheme. Using this benchmarking dataset, we assess the efficacy of cross-link identification and accuracy of cross-link quantification using different MS acquisition strategies. For identification, we compare various MS2- and MS3-based XL-MS methods, and optimize stepped HCD energies for TMT-labeled cross-links. We observed a need for notably higher fragmentation energies compared to unlabeled cross-links. For quantification, we assess the quantification accuracy and dispersion of MS2-, MS3- and synchronous precursor selection-MS3-based methods. We show that a stepped HCD-MS2 method with stepped collision energies 36-42-48 provides a vast number of quantifiable cross-links with high quantification accuracy. This widely applicable method paves the way for multiplexed quantitative PPI characterization from complex biological systems.

2022-04-07 | PXD031114 | Pride

A2M-3K DSSO cross-linking to identify the bait region position

Project description:An A2M mutant, A2M-3K, with the bait region arginines replaced with lysines, was cross-linked with DSSO. Its monomeric gel band was analyzed by XL-MS to identify the bait region position within a subunit.

2021-05-21 | PXD019048 | Pride

Enabling Photoactivated Cross-linking Mass Spectrometric Analysis of Protein Complexes by Novel MS-cleavable Cross-linkers

Project description:Cross-linking mass spectrometry (XL-MS) is a powerful tool for studying protein-protein interactions and elucidating architectures of protein complexes. While residue-specific XL-MS studies have been very successful, accessibility of interaction regions non-targetable by specific chemistries remain difficult. Photochemistry has shown great potential in capturing those regions due to nonspecific reactivity, but low yields and high complexities of photocross-linked products have hindered their identification, limiting current studies predominantly to single proteins. Here, we describe the development of three novel MS-cleavable heterobifunctional cross-linkers, namely SDASO (Succinimidyl diazirine sulfoxide), to enable fast and accurate identification of photocross-linked peptides by MSn. The MSn-based workflow allowed SDASO XL-MS analysis of the yeast 26S proteasome, demonstrating the feasibility of photocross-linking of large protein complexes for the first time. Comparative analyses have revealed that SDASO cross-linking is robust and captures interactions complementary to residue-specific reagents, providing the foundation for future applications of photocross-linking in complex XL-MS studies.

2021-05-07 | PXD022690 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data