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257 results for “Proteomic analysis”
Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics (Data)
<p>Combined data for the manuscript `Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics` for all manuscript and supplemental information figures.</p> <p>Every folder contains the raw data and Jupyter notebook (python) for graph creation.</p> <p>Images are not enclosed but are shown in the manuscript.</p> <p> </p>
zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation
<p>Data and code used to generate the analyses and figures in paper "zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation" are provided here.</p>
Supplemental data for bioRxiv protocol on proteomic data analysis
<p>Table output from MSstats for the data analysis described in the BioRxiv paper, and the R script used to create the volcano plots in the manuscript. </p>
Source data for "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics"
<p>Source data of "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics".</p> <p>For reproduction of main and supplementary figures.</p> <p>MS raw files, spectral libraries, and MS data search results are stored in iProX with identifier IPX0004576001.</p> <p> </p>
Proteome-wide structure-based accessibility analysis of ligandable and detectable cysteines in chemoproteomic datasets
<p>Covalent drug discovery, in particular targeting reactive cysteines, has undergone a resurgence over the past two decades, demonstrated by recent clinical successes of covalent inhibitors for high-priority cancer targets. Reactive cysteine profiling, first pioneered by the Cravatt lab, has emerged in parallel as a powerful approach for proteome-wide on- and off-target profiling. Thus far however, structural analysis of liganded cysteines has been restricted to experimentally determined protein structures. We combined AlphaFold-predicted amino acid side chain accessibilities for >95% of the human proteome with a meta-analysis of thirteen public cysteine profiling datasets, totalling 40,070 unique cysteine residues, revealing accessibility biases in sampled cysteines primarily dictated by warhead chemistry. Analysis of >3.5 million cysteine-fragment interactions further suggests that exposed cysteine residues are preferentially targeted by elaborated fragments and drug-like compounds. We finally propose a framework for benchmarking coverage of ligandable cysteines in future cysteine profiling approaches, considering both selectivity for high-priority residues and quantitative depth. All analysis and produced resources (freely available at <a href="http://www.github.com/TateLab">www.github.com/TateLab</a>) are readily extendable to reactive amino acids beyond cysteine, and related questions in chemical biology.</p>
ARRIVE checklist for 'The role of proteomics analysis in carcinogenesis in a rat mammary cancer model induced by DMBA (7,12-Dimethylbenz[a]anthracene)
<p>The ARRIVE guidelines for animal reporting: ‘The role of proteomics analysis in carcinogenesis in a rat mammary cancer model induced by DMBA (7,12-Dimethylbenz[a]anthracene)’</p>
Proteomic Analysis of Serum Samples After Cardiac Arrest: a TTM-trial Substudy
ClinicalTrials.gov study NCT07017374. IPD Sharing: YES. Countries: 1. Publications: 3.
Genomic and Proteomic Analysis of Disease Progression in Idiopathic Pulmonary Fibrosis (IPF)
ClinicalTrials.gov study NCT00373841. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Proteomic and Histological Analysis of Ligamentum Flavum in Lumbar Stenosis
ClinicalTrials.gov study NCT07026552. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Quantitative Analysis of Global Proteome in Bone Samples From Patients With Osteoporotic and Nonosteoporotic Fracture
ClinicalTrials.gov study NCT03428672. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Proteomic Analysis of Newly Restored Single Implants
ClinicalTrials.gov study NCT06379022. IPD Sharing: NO. Countries: 1. Publications: 1.
Proteomic Analysis of Sweat in Cutaneous Conditions
ClinicalTrials.gov study NCT02768090. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Proteomics & Glyco-Proteomic Analysis of Follicular Fluid
ClinicalTrials.gov study NCT01487486. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Urinary Proteomics Analysis for Sepsis and Prognosis
ClinicalTrials.gov study NCT01493492. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Serum Proteomics Analysis for Sepsis
ClinicalTrials.gov study NCT01493466. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Identification of Potential Biomarkers of Peptide Immunotherapy. Part 1 - Proteomics Analysis
ClinicalTrials.gov study NCT01383590. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Proteomics Analysis of Human Tears in the Diagnosis and Management of Dry Eye Disease
ClinicalTrials.gov study NCT07175909. IPD Sharing: NO. Countries: 1. Publications: 1.
Proteomic Analysis in Paediatric Diabetes Type 1 (PAPD)
ClinicalTrials.gov study NCT04257877. IPD Sharing: NO. Countries: 1. Publications: 36.
Analysis of Headache Chronification With Imaging, Deep Phenotyping, and Proteomics
ClinicalTrials.gov study NCT03231241. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Proteomic analysis of barley mapping population subjected to drought identifies proteins with genotype×environment interaction and pQTLs
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International Brain Laboratory public data
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OpenNeuro
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