Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Matrix thermal shift assay for fast construction of multidimensional ligand targets space

ABSTRACT: Targeted proteomics data was acquired on a QE-HF mass spectrometer with data-independent acquisition (DIA) model.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Mingliang Ye

PROVIDER: PXD025039 | JPOST Repository | Mon Jan 10 00:00:00 GMT 2022

REPOSITORIES: jPOST

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	HF_RCF20200612_heat52_Stau_1.raw	Raw
	HF_RCF20200612_heat52_Stau_2.raw	Raw
	HF_RCF20200612_heat52_Stau_3.raw	Raw
	HF_RCF20200612_heat52_Stau_4.raw	Raw
	HF_RCF20200612_heat52_Stau_5.raw	Raw

Items per page:

1 - 5 of 20

Similar Datasets

High-throughput affinity denaturation assay for constructing drug target space

Project description:Targeted proteomics data was acquired on a QE-HF mass spectrometer with data-independent acquisition (DIA) model.

2021-04-28 | PXD025669 | JPOST Repository

High-throughput affinity responsive denaturation assay for construncting drug target space

Project description:Targeted proteomics data was acquired on a QE-HF mass spectrometer with data-independent acquisition (DIA) model.

2021-03-28 | PXD025037 | JPOST Repository

A hybrid DDA/DIA-PASEF based assay library for a deep proteotyping of triple-negative breast cancer

Project description:Generation of a new library of targeted mass spectrometry assays for accurate protein quantification in triple negative breast cancer (TNBC) tissues. Primary tumor tissue lysates from 105 TNBC patients treated at Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic, were used to generate the spectral library. This project covers raw files from data-dependent acquisition (DDA) – parallel accumulation-serial fragmentation (PASEF) measurements of 12 hydrophilic chromatography (HILIC) fractions of aliquot pool from complete set of 105 samples measured on timsTOF Pro; raw files of 16 individual samples measured in data-independent acquisition (DIA) – PASEF mode and used for hybrid library generation and for demonstrative quantitative DIA data extraction; Pulsar archive generated in Spectronaut 16.0 from 12 DDA-PASEF measurements of HILIC fractions and from 16 data-independent acquisition DIA-PASEF measurements of individual samples. The 16 DIA-PASEF runs of individual samples used for library generation were analyzed using newest versions of Spectronaut (version 18.5) and DIA-NN (version 1.8.1) software tools in library-based setting using the newly generated library as well as in library-free setting showing library-based method to outperform the use of predicted libraries in the terms of identification numbers.

2024-05-31 | PXD047793 | Pride

A comprehensive spectral assay library to quantify the Halobacterium salinarum NRC-1 proteome by DIA/SWATH-MS

Project description:Data-Independent Acquisition (DIA) is a mass spectrometry-based method to reliably identify and reproducibly quantify large fractions of a target proteome. The peptide-centric data analysis strategy employed in DIA requires a priori generated spectral assay libraries. Such assay libraries allow to extract quantitative data in a targeted approach and have been generated for human, mouse, zebrafish, E. coli and few other organisms. However, a spectral assay library for the extreme halophilic archaeon Halobacterium salinarum NRC-1, a model organism that contributed to several notable discoveries, is not publicly available yet. Here, we report a comprehensive spectral assay library to measure 2,563 of 2,646 annotated H. salinarum NRC-1 proteins. We demonstrate the utility of this library by measuring global protein abundances over time under standard growth conditions. The H. salinarum NRC-1 library includes 21,074 distinct peptides representing 97% of the predicted proteome and provides a new, valuable resource to confidently measure and quantify any protein of this archaeon.

2023-09-21 | PXD042770 | Pride

Zebrafish SWATH-MS spectral library to quantify 10,000 proteins

Project description:Sequential window acquisition of all theoretical mass spectra (SWATH-MS) requires a spectral library to extract quantitative measurements from the mass spectrometry data acquired in data-independent acquisition mode (DIA). Large combined spectral libraries containing SWATH assays have been generated for humans and several other organisms, but so far no publicly available library exists for measuring the proteome of zebrafish, a rapidly emerging model system in biomedical research. Here, we present a large zebrafish SWATH spectral library to measure the abundance of 104’185 proteotypic peptides from 10’405 proteins. The library includes proteins expressed in 9 different zebrafish tissues (brain, eye, heart, intestine, liver, muscle, ovaries, spleen, and testes) and provides an important new resource to quantify 40% of the protein-coding zebrafish genes.

2018-12-18 | PXD010876 | Pride

Neoadjuvant Chemo or Combined Chemo-Radiation Therapy of Pancreatic Ductal Adenocarcinoma Yields Fundamentally Different Proteome Biology of the Residual Tumor Mass

Project description:We performed data independent acquisition (DIA)-based proteomics to characterize the proteomes of 67 PDAC resection specimens. Patients received either neoadjuvant chemotherapy or neoadjuvant combined chemo-radiation therapy. We employed DIA, yielding a proteome coverage in excess of 3,500 proteins. The two neoadjuvant therapies yielded highly distinguishable proteome profiles of the residual tumor mass.

| EGAS00001006739 | EGA

Scanning quadrupole DIA - Scanning Quadrupole Data Independent Acquisition - Part A

Project description:A scanning quadrupole data independent acquisition (DIA) method is described and characterised for the qualitative and quantitative label free proteomic analysis of complex biological samples. The principle of the scanning quadrupole DIA is discussed and the effect of the optimization of analytical instrument characteristics, such as acquisition speed, sample complexity, and scan/integration time in relation to sample complexity for a number of different model proteomes of various complexity and dynamic range, including plasma, human cell lines, and bacteria samples, discussed. In addition, its technological merits from an acquisition neutral perspective are reviewed. The qualitative and semi-quantitative performance of the method is illustrated and contrasted for the analysis of a well-characterised human cell line sample using untargeted and targeted search strategies. The application of the method is demonstrated for the analysis of the calcineurin-dependent proteome of drug treated Aspergillus fumigatus. The design of these experiments afforded assessment of the precision and accuracy of scanning quadrupole data independent acquisition (DIA) method as will be demonstrated by peptide and protein centric analysis of the study pool QC samples of the study. Moreover, novel and specific interactors in response to drug treatment that are indicative of the role of calcineurin role in regulating these effectors have been identified.

2017-09-14 | PXD005869 | Pride

A semi-automated workflow for DIA-based global discovery to pathway-driven PRM analysis

Project description:Initial discovery-based analysis using data independent acquisition (DIA) can obtain deep proteome coverage with high data completeness; however, the development of targeted PRM assays based on subsequent bioinformatic predictions can be tedious and time-consuming because of the complexity of the output. We address this limitation with a Python script that rapidly generates a PRM method for the TIMS-QTOF platform using DIA data and a user-defined target list.

2024-09-06 | PXD049405 | Pride

High-throughput proteomics and phosphoproteomics of rat tissues using micro-flow Zeno SWATH

Project description:We investigated the combined sensitivity of micro-flow liquid chromatography with a ZenoTOF mass spectrometer for high throughput proteomic and phosphoproteomic analysis of rat tissues. Comparing the proteomes acquired using data-independent acquisition (DIA) on the ZenoTOF 7600 with the previous generation TripleTOF 6600, more proteins were quantified using a fifth of the sample load and a third of the instrument time. Zeno SWATH data was evaluated using replicate injections of rat organ digests to compare FragPipe and DIA-NN computational pipelines. FragPipe identified more proteins in 7 of the 8 rat organs, with an extra 12% and 17% observed in heart and muscle tissue respectively. The number of identified peptides per protein were higher with FragPipe and the precision of missing values across replicate injections was more consistent. Single-shot phosphopeptide enrichment from 100 µg rat tissue, without fractionation, was acquired using data-dependent acquisition (DDA) on both instruments. A total of 5,108 phosphosites were quantified with a negligible increase in phosphosites found using the ZenoTOF 7600 relative to the 6600. Using DIA on the ZenoTOF, 8,013 phosphosites were quantified using Spectronaut.

2024-06-02 | PXD045472 | Pride

DIA-Umpire: comprehensive computational framework for data independent acquisition proteomics

Project description:This dataset consists of 44 raw MS files, comprising 27 DIA (SWATH) and 15 DDA runs on a TripleTOF 5600 and of two raw mass spectrometry files acquired on a Q Exactive. The composition of the dataset is described in the manuscript by Tsou et al., titled: "DIA-Umpire: comprehensive computational framework for data independent acquisition proteomics", Nature Methods, in press Raw files are deposited here in ProteomeXchange and are associated with the DIA-Umpire processed data. All DIA-Umpire processed results for each sample together with DDA results are deposited in separated folders. Also see the "DataSampleID.xlsx" associated with this Readme file. Internal reference from the Gingras lab ProHits implementation: Project 94, Export version VS2 (Tsou_DIA-Umpire)

2015-01-21 | PXD001587 | 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