Mag-Net: Rapid enrichment of membrane-bound particles enables high coverage quantitative analysis of the plasma proteome
暂无分享,去创建一个
Gennifer E. Merrihew | Deanna L. Plubell | M. MacCoss | A. Hoofnagle | Christine C. Wu | K. Poston | S. Buthelezi | S. Stoychev | Edward D. Parker | J. Jordaan | Kristine A. Tsantilas | Jea-Hoo Park | Eric Huang | Justin Sanders | Ireshyn Govender | Previn Naicker | Michael Riffle | T. Montine | W. S. Noble | Justin A. Sanders | Ireshyn S. Govender
[1] B. Kuster,et al. A region-resolved proteomic map of the human brain enabled by high-throughput proteomics , 2023, bioRxiv.
[2] A. Iliuk,et al. Quantitative proteomics and phosphoproteomics of urinary extracellular vesicles define putative diagnostic biosignatures for Parkinson’s disease , 2023, Communications medicine.
[3] Ryan W. Benz,et al. Functionally distinct BMP1 isoforms show an opposite pattern of abundance in plasma from non-small cell lung cancer subjects and controls , 2023, bioRxiv.
[4] Kristina B. Emdal,et al. Differential ultracentrifugation enables deep plasma proteomics through enrichment of extracellular vesicles , 2022, Proteomics.
[5] T. Ochiya,et al. Quantitative Proteomics Identifies Proteins Enriched in Large and Small Extracellular Vesicles , 2022, Molecular & cellular proteomics : MCP.
[6] Kyung Chul Shin,et al. Single Extracellular Vesicle Analysis Using Flow Cytometry for Neurological Disorder Biomarkers , 2022, Frontiers in Integrative Neuroscience.
[7] Konstantinos D. Tsirigos,et al. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks , 2022, bioRxiv.
[8] Melike Sever-Bahcekapili,et al. Overview of extracellular vesicle characterization techniques and introduction to combined reflectance and fluorescence confocal microscopy to distinguish extracellular vesicle subpopulations , 2022, Neurophotonics.
[9] Tristan R. Brown,et al. Engineered nanoparticles enable deep proteomics studies at scale by leveraging tunable nano–bio interactions , 2022, Proceedings of the National Academy of Sciences of the United States of America.
[10] Cesar M. Castro,et al. Characterization and modulation of surface charges to enhance extracellular vesicle isolation in plasma , 2022, Theranostics.
[11] D. Greening,et al. Proteomic dissection of large extracellular vesicle surfaceome unravels interactive surface platform , 2021, Journal of extracellular vesicles.
[12] L. Reiter,et al. Biomarker Candidates for Tumors Identified from Deep-Profiled Plasma Stem Predominantly from the Low Abundant Area , 2021, bioRxiv.
[13] M. MacCoss,et al. Comparison of unit resolution versus high-resolution accurate mass for parallel reaction monitoring , 2021, bioRxiv.
[14] Lloyd M. Smith,et al. Can we put Humpty Dumpty back together again? What does protein quantification mean in bottom-up proteomics? , 2021, bioRxiv.
[15] T. Hashimoto,et al. Application of peptides with an affinity for phospholipid membranes during the automated purification of extracellular vesicles , 2020, Scientific Reports.
[16] M. Ratajczak,et al. Extracellular microvesicles/exosomes: discovery, disbelief, acceptance, and the future? , 2020, Leukemia.
[17] Ryan W. Benz,et al. Rapid, deep and precise profiling of the plasma proteome with multi-nanoparticle protein corona , 2020, Nature Communications.
[18] W. Tao,et al. Plasma-Derived Extracellular Vesicle Phosphoproteomics through Chemical Affinity Purification , 2020 .
[19] Lindsay K. Pino,et al. The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics. , 2020, Mass spectrometry reviews.
[20] Michael J MacCoss,et al. Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries , 2020, Molecular & Cellular Proteomics.
[21] M. Burns,et al. Case-Control Study , 2020, Definitions.
[22] William Stafford Noble,et al. Matrix-matched calibration curves for assessing analytical figures of merit in quantitative proteomics , 2019, bioRxiv.
[23] Dylan T Burnette,et al. Reassessment of Exosome Composition , 2019, Cell.
[24] Loïc Dayon,et al. Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance , 2019, Molecular & Cellular Proteomics.
[25] Michael J. MacCoss,et al. Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows , 2019, Journal of The American Society for Mass Spectrometry.
[26] Michael J MacCoss,et al. Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry , 2018, Nature Communications.
[27] Jing Xu,et al. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines , 2018, Journal of Extracellular Vesicles.
[28] Tanveer S. Batth,et al. Protein Aggregation Capture on Microparticles Enables Multipurpose Proteomics Sample Preparation , 2018, Molecular & Cellular Proteomics.
[29] Christopher S. Hughes,et al. Single-pot, solid-phase-enhanced sample preparation for proteomics experiments , 2018, Nature Protocols.
[30] W. Tao,et al. Highly Efficient Phosphoproteome Capture and Analysis from Urinary Extracellular Vesicles. , 2018, Journal of proteome research.
[31] J. Simonsen. What Are We Looking At? Extracellular Vesicles, Lipoproteins, or Both? , 2017, Circulation research.
[32] E. Goetzl,et al. Plasma Extracellular Vesicles Enriched for Neuronal Origin: A Potential Window into Brain Pathologic Processes , 2017, Front. Neurosci..
[33] Jean-Charles Sanchez,et al. Characterisation of extracellular vesicle-subsets derived from brain endothelial cells and analysis of their protein cargo modulation after TNF exposure , 2017, Journal of extracellular vesicles.
[34] Andrew D. Rouillard,et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update , 2016, Nucleic Acids Res..
[35] Hasmik Keshishian,et al. Multiplexed, Quantitative Workflow for Sensitive Biomarker Discovery in Plasma Yields Novel Candidates for Early Myocardial Injury* , 2015, Molecular & Cellular Proteomics.
[36] R. Petersen,et al. Sanders-brown Center on Aging Faculty Publications Aging Altered Lysosomal Proteins in Neural-derived Plasma Exosomes in Preclinical Alzheimer Disease Repository Citation , 2022 .
[37] Christian Stolte,et al. COMPARTMENTS: unification and visualization of protein subcellular localization evidence , 2014, Database J. Biol. Databases Curation.
[38] Edward Y. Chen,et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool , 2013, BMC Bioinformatics.
[39] Richard D. Smith,et al. IgY14 and SuperMix immunoaffinity separations coupled with liquid chromatography-mass spectrometry for human plasma proteomics biomarker discovery. , 2012, Methods.
[40] S. Carr,et al. A pipeline that integrates the discovery and verification of plasma protein biomarkers reveals candidate markers for cardiovascular disease , 2011, Nature Biotechnology.
[41] Kristin L Cheek,et al. Depletion of abundant plasma proteins and limitations of plasma proteomics. , 2010, Journal of proteome research.
[42] N. Anderson,et al. The clinical plasma proteome: a survey of clinical assays for proteins in plasma and serum. , 2010, Clinical chemistry.
[43] Jeff A. Bilmes,et al. Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks , 2008, PLoS Comput. Biol..
[44] David T. Kaleta,et al. Enhanced Detection of Low Abundance Human Plasma Proteins Using a Tandem IgY12-SuperMix Immunoaffinity Separation Strategy*S , 2008, Molecular & Cellular Proteomics.
[45] S. Carr,et al. Quantitative, Multiplexed Assays for Low Abundance Proteins in Plasma by Targeted Mass Spectrometry and Stable Isotope Dilution*S , 2007, Molecular & Cellular Proteomics.
[46] C. Reutelingsperger,et al. Past, present, and future of annexin A5: from protein discovery to clinical applications. , 2005, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[47] N. Anderson,et al. Multi‐component immunoaffinity subtraction chromatography: An innovative step towards a comprehensive survey of the human plasma proteome , 2003, Proteomics.
[48] N. Anderson,et al. The Human Plasma Proteome: History, Character, and Diagnostic Prospects , 2003, Molecular & Cellular Proteomics.
[49] C Haanen,et al. A novel assay for apoptosis. Flow cytometric detection of phosphatidylserine expression on early apoptotic cells using fluorescein labelled Annexin V. , 1995, Journal of immunological methods.
[50] N. Anderson,et al. HISTORY, CHARACTER, AND DIAGNOSTIC PROSPECTS* , 2002 .