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MtoZ BiolabsModel 4d-proteomics -4D Proteomics Service

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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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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. 4D proteomics adds another dimension-ion mobility- on the basis of 3D proteomics, which separate ions mainly based on their shape and cross-section and can distinguish peptide segments with very small m/z differences to distinguish and recogniz low-abundance protein signals. 4D proteomics, based on the timsTOF Pro mass spectrometer, combines parallel accumulation serial fragmentation (PASEF) with trapped ion mobility spectrometry (TIMS). It can repeatedly measure the collision cross-section (CCS) of all detected ions, enabling faster and more sensitive qualification and quantification of proteomics.

Meier, F. et al. Mol Cell Proteomics. 2018.

MtoZ Biolabs provides 4D proteomics research service based on timsTOF Pro, supporting proteomics research of trace samples, large medicine sample group, and high-throughput modificomics.


1. If you provide a Co-IP sample, the protein content should be about 2-5 μg and the protein sample should not contain detergents (e.g., SDS) and high level of oxygen; or you can send the protein sample-containing beads to us directly, and we will be responsible for the subsequent experiments.

2. If you provide a tissue sample, please send the tissue sample on dry ice; the weight of animal sample should be over 200 mg; plant samples at least 1 g; the volume of blood samples should at least be 1 mL (EDTA or other anticoagulant should be added to prevent coagulation); serum 0.2-0.5 mL; urine 2 mL; the density of cell samples should be up to 1X107/mL; dry weight of yeast, microorganisms etc., should be 200 mg.

3. If you provide a protein sample, please ensure the total protein weight is over 50 μg; common cell lysis solution can be used for protein extraction.

4. Sample transportation: Please use sufficient dry ice for transportation and choose a faster mailing method to reduce sample degradation during transportation.

1. Experimental Procedures

2. Relevant Experimental Parameters

3. Mass Spectrometry Images

4. Raw Data

5. Proteomics Analysis Results


MtoZ Biolabs is an integrate contract research organization (CRO) providing advanced proteomics, metabolomics, bioinformatics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields. The name of MtoZ represents “mass to charge ratio” in mass spectrometry analysis, as most of our services are provided based on our well-established mass spectrometry platforms. Our services allow for the rapid and efficient development of research projects, including protein analysis, proteomics, and metabolomics programs.

MtoZ Biolabs is specialized in quantitative multiplexed proteomics and metabolomics applications through the establishment of state-of-the-art mass spectrometry platforms, coupled with high-performance liquid chromatography technology. We are committed to developing efficient, and effective tools for addressing core bioinformatics problems. With a continuing focus on quality, MtoZ Biolabs is well equipped to help you with your needs in proteomics, metabolomics, bioinformatics, and biopharmaceutical research. Our ultimate aim is to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample.

Email: [email protected]