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    SWATH Based Protein Quantitative Service

    • Business TypeService Provider
    • Preferred Buyer Location United States only

    Sequential Window Acquisition of all Theoretical fragment ions (SWATH) is a brand new mass spectrometry technology co-developed by Dr. Ruedi Aebersold research group (ETH Zürich) and AB SCIEX. SWATH....
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    • calendar Member Since 8 Years
    • building Nature of Business Service Provider
    • Year of Establishment 2015

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    Sequential Window Acquisition of all Theoretical fragment ions (SWATH) is a brand new mass spectrometry technology co-developed by Dr. Ruedi Aebersold research group (ETH Zürich) and AB SCIEX. SWATH data is an independent acquisition (DIA) technique. Unlike data dependent acquisition technique, which only selects certain MS spectrum for MS/MS detection, SWATH analyzes all MS and MS/MS spectra, allowing detection of virtually all detectable proteins in a sample. In SWATH technology, MS spectra are divided into several narrow windows and peptides in each window are sequentially analyzed equally, followed by MS/MS analysis. SWATH technique combines the high-throughput quality of shotgun proteomics with high accuracy comparable to MRM. To better meet our clients’ needs, MtoZ Biolabs offers a comprehensive SWATH service, including optimized sample preparation, high-quality SWATH mass spectrometry analysis and professional bioinformatics analysis.MtoZ Biolabs provides integrate SWATH Based Protein Quantitative Service.

    Analytical Platform

    AB SCIEX Triple-TOF 5600-plus

    Analysis Workflow

    Quantitatively Analyze Nearly All Detectable Molecules, Including Low Abundance Proteins and Peptides|High Accuracy, Comparable to MRM Level|High-Throughput, Identify and Quantitate More than 2000 Proteins at Once|Complete Digital Archive of Sample in the First Analysis|Pre-Experiment Method Development is Unnecessary

    Sample Submission Requirements

    Bioinformatics Analysis

    SWATH Data Quality Assessment|Multivariate PCA Analysis|Protein Statistical Analysis: Venn Diagram, Volcano Plot|Functional Annotation: GO Annotation, KEGG Annotation, COG Annotation|Clustering Analysis: Hierarchical Clustering, K-Means Clustering|Network Analysis: STRING Analysis

    Deliverables

    Experiment Procedures|Parameters of Liquid Chromatography and Mass Spectrometer|MS Raw Data Files|Peptide Identifications and Intensities|Protein Identifications and Intensities|Bioinformatics Analysis


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