Quantitative Proteomics Service
Proteomics is a large-scale study of proteins in a certain organism. Depending on specific research objective, there are many analytical techniques for proteomics study. To better meet our clients’ needs, MtoZ Biolabs is proud to offer 5 quantitative proteomics service, including Label-free, iTRAQ/TMT, SILAC, MRM, and SWATH. We also provide custom proteomics service for specific project. You are welcome to contact us for more detailed information on project design and sample requirements.
Service Category
MtoZ Biolabs provides label-free proteomics service, featured by label-free property and scalable application for analyzing multiple samples at once.
MtoZ Biolabs offers an all-inclusive iTRAQ/TMT proteomics service package, including in vitro isobaric labeling and LC-MS/MS analysis. This service is suitable for relative quantification analysis of up to 10 samples.
MtoZ Biolabs offers a complete set of SILAC/Dimethyl quantitative proteomics service, including in vivo metabolic labeling and LC-MS/MS analysis. This service is suitable for comparison of 2-3 samples.
MtoZ Biolabs provides Sequential Window Acquisition of all Theoretical fragment ions (SWATH), featured by data independent acquisition with high-throughput quality and sensitivity comparable to that of MRM technique.
MtoZ Biolabs provides absolute targeted proteomics service, Multiple Reaction Monitoring (MRM) with the highest sensitivity and accuracy so far to meet various needs in high-quality quantitative proteomics study.
Related Services
Protein Sequencing
Protein Full-Length Sequencing
Protein Analysis
PTM Analysis
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Pressure cycling technology (PCT) is an efficient biological sample preparation technology and a patented technology developed by Pressure BioSciences Inc (PBI), USA. It uses pressure cycling between atmospheric pressure and ultra-high (liquid) pressure (35,000 PSI or higher), repeatedly breaking cells and enabling the extraction of important biomolecules such as proteins from various samples (cells and tissues from humans, animals, plants, and microorganisms).
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Proteomics is considered a comprehensive technology for addressing biological problems and involves a range of technical methods, including mass spectrometry (MS). Two main approaches for protein identification and characterization by MS can be classified as "bottom-up," analyzing peptides through protein hydrolysis, and "top-down," a global analysis of intact proteins by fragmenting them.
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DIA (data-independent acquisition) refers to a data-independent scanning mode and is a holistic mass spectrometry data acquisition mode based on the electrostatic field orbitrap Orbitrap. Compared to DDA (data-dependent scanning mode), DIA technology divides the entire mass spectrometry scanning range into several windows, selects, fragments, and detects all ions in each window, and has better accuracy and reproducibility.
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• Semi Quantitative Proteomic Analysis Service
In scientific research, there are two main types of analysis: qualitative and quantitative analysis. Between qualitative and quantitative analysis, there is a semi-quantitative analysis, which yields approximate measurement value rather than precise one. Semi-quantitative analysis is often used when direct measurement of results is challenging while the conclusions drawn from inference are insufficient, especially when quantitative data are likely to fluctuate periodically.
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• DIA based Protein Quantitative Service
Data-independent acquisition (DIA) is a non-dependent data scanning mode, a holographic mass spectrometry data acquisition mode based on the electrostatic field orbitrap. After primary mass spectrometry detection, DIA fragments all parent ions within a specific m/z range, collects fragment ions of all parent ions, and quickly scans all fragment ions within adjacent wide windows of parent ions to perform protein qualitative and quantitative analysis. Compared to data-dependent acquisition mode (DDA), DIA has
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• Relative Protein Quantitative Service, MS Based
Relative quantification of proteins is a MS-based technique that compares the relative proteins expression levels between different samples, analyzing differential protein expression under varying conditions and revealing the role of proteins in biological processes. Commonly used methods include stable isotope labeling by amino acids in cell culture (SILAC), isobaric tags for relative and absolute quantification (iTRAQ), and tandem mass tags (TMT). They achieve relative quantification by enzymatic digestio
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• 2D-DIGE Based Protein Quantitative Service
Two-dimensional difference gel electrophoresis (2D-DIGE) is a novel quantitative proteomics technique that evolved from traditional two-dimensional gel electrophoresis (2-DE). The principle of 2D-DIGE for separating mixed proteins is the same as traditional 2-DE. It uses differences in protein isoelectric points and molecular weights to separate protein mixtures. At the same time, the sensitive fluorescent dyes and the internal standard make it significantly better than traditional 2-DE in quantitativ......
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The fundamental principle of MS-based proteomics is primarily analyzing according to the physicochemical properties of the sample ions, obtaining qualitative and quantitative results based on the sample's mass spectrum and related information. Currently, proteomics mass spectrometry generally identifies and quantifies peptides and proteins based on three dimensions: retention time (RT), mass-to-charge ratio (m/z), and ion intensity, named as 3D proteomics.
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• Label-Based Protein Quantitative Service—iTRAQ, TMT, SILAC
Dynamic changes in abundance of proteome in cells significantly impact various life processes. For example, the onset and development of many diseases often coincide with the aberrant expression of certain proteins. Quantitative proteomics enables accurate quantification and identification of all proteins expressed within a genome or a complex mixture.
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• Label-Free Quantitative Proteomics Service, MS Based
MtoZ Biolabs offers all-inclusive Label-free quantitative proteomics service with fast analysis and high quality data.
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