Protein Malonylation Analysis

Post-translational modifications (PTMs) are chemical alterations that occur during or after protein synthesis and are pivotal in cellular processes such as differentiation, degradation, signal transduction, gene expression regulation, and protein-protein interactions. Malonylation, a significant PTM, modulates protein function, stability, and interactions, thereby influencing various cellular activities. It alters protein structure, facilitating or preventing binding with specific molecules, which regulates signal transduction, gene expression, and metabolism. Additionally, malonylation plays a critical role in cellular stress responses and disease pathogenesis. Investigating the mechanisms of malonylation (targeted protein malonylation analysis and malonylation proteomics) is essential for understanding biological processes and developing innovative therapeutic strategies.

 

Services at MtoZ Biolabs

MtoZ Biolabs utilizes Thermo Fisher's Q Exactive HF, Orbitrap Fusion, and Orbitrap Fusion Lumos mass spectrometry platforms, in combination with Nano-LC, to offer a comprehensive solution for protein malonylation analysis, which include target protein malonylation analysis and malonylation proteomics. Simply provide us with your experimental objectives and sample materials, and we will manage the entire workflow, delivering detailed identification and quantification of malonylation modifications on specific proteins and a panoramic view of malonylation modifications across various samples, uncovering extensive malonylation patterns. If you are interested in our protein malonylation analysis service, please feel free to contact us. We are dedicated to providing you with the best service.

 

Analysis Workflow

1. Sample Preparation: Proteins are extracted from cells or tissues and lysed using a buffer containing protease and deacetylase inhibitors to preserve the malonylation modifications.

 

2. Protein Digestion: Trypsin is used to digest the proteins into peptides for subsequent mass spectrometry analysis.

 

3. Malonylated Peptide Enrichment: Specific anti-malonylation antibodies are used to enrich malonylated peptides, minimizing interference from non-modified peptides.

 

4. Mass Spectrometry Analysis (LC-MS/MS): Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) is employed to detect and quantify the enriched malonylated peptides and identify their modification sites.

 

5. Data Analysis: The mass spectrometry data are analyzed using appropriate software to determine the precise locations and abundance of malonylation modifications.

 

Service Advantages

1. Advance Analysis Platform: Mtoz Biolabs established an advanced protein malonylation analysis platform, guaranteeing reliable, fast, and highly accurate analysis service.

 

2. One-Time-Charge: Our pricing is transparent, no hidden fees or additional costs.

 

3. High-Data-Quality: Deep data coverage with strict data quality control. AI-powered bioinformatics platform integrate all protein malonylation analysis data providing clients with acomprehensive data report.

 

4. Comprehensive Analysis: Both target protein malonylation analysis and malonylation proteomics can be conducted in MtoZ Biolabs.

 

Sample Submission Requirements

 



1. If you are providing tissue samples, please ship them to us on dry ice.

 

2. If you are providing protein samples, standard tissue or cell lysis buffers can be used during protein extraction.

 

3. Sample transportation: Please ensure that samples are shipped with sufficient dry ice and choose the fastest possible shipping way to minimize the risk of sample degradation during transit.

 

4. Before proceeding with the formal experiment, we will test the samples you provide, and the formal analysis will begin once the samples pass the quality check.

 

Deliverables

1. Comprehensive Experimental Details

2. Materials, Instruments, and Methods

3. The Detailed Information of Protein Malonylation Analysis

4. Mass Spectrometry Image

5. Bioinformatics Analysis

6. Raw Data