• 96-Well C-Trap LysN Digestion and Desalting Kit
  • Cat: PP-ED11
  • Product Type: Integrated Digestion-Desalting Products
  • Quantity: 5 plates
  • The 96-Well C-Trap LysN Digestion and Desalting Kit launched by MtoZ Biolabs is designed for batch processing of complex protein samples. It integrates LysN digestion and desalting workflows and helps improve consistency in N-terminus-related proteomics analysis.   Product Overview Medium- to high-throughput LysN-directed digestion samples exhibit pronounced matrix variability and complex background residues. These characteristics can amplify fluctuations in traditional stepwise and open digestion and......
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The 96-Well C-Trap LysN Digestion and Desalting Kit launched by MtoZ Biolabs is designed for batch processing of complex protein samples. It integrates LysN digestion and desalting workflows and helps improve consistency in N-terminus-related proteomics analysis.

 

Product Overview

Medium- to high-throughput LysN-directed digestion samples exhibit pronounced matrix variability and complex background residues. These characteristics can amplify fluctuations in traditional stepwise and open digestion and desalting workflows, posing challenges to preprocessing stability and data consistency:

 

1. Matrix Inconsistency

In traditional workflows, digestion and desalting are typically performed in separate containers. When facing differences in salt concentration, detergents, and buffer systems, it is difficult to unify the reaction environment, readily leading to inconsistent LysN digestion kinetics and increased missed cleavages.

 

2. Insufficient N-Terminal Cleavage Stability

Under open operating conditions, differences in lysine site accessibility are more pronounced in proteins with compact conformations or extensive modifications. Conventional conditions are therefore more prone to directional cleavage bias, affecting N-terminal information interpretation.

 

3. Accumulation of Batch Operation Errors

During multi-well parallel processing, traditional stepwise workflows involve multiple pipetting steps, incubations, and timing controls. Pipetting deviations and differences in reaction time windows can be amplified into inter-well variability, reducing reproducibility.

 

4. Difficulty Balancing Desalting and Recovery

If traditional desalting steps are insufficient, residual salts can cause ion suppression and elevated background signals. If cleanup is excessive, peptide recovery is easily reduced, limiting data stability.

 

Advantages

✅ 96-Well Parallel Processing

Batch samples are processed within a single, unified plate, reducing environmental variation introduced by stepwise handoffs and better matching medium- to high-throughput experimental needs.

 

✅ Optimized LysN-Directed Digestion

The reaction system is optimized around the characteristic of LysN cleaving at the N-terminus of lysine residues, helping to achieve more consistent and controllable cleavage output.

 

✅ Workflow Integration to Reduce Loss

Digestion and desalting are performed sequentially within the plate, reducing transfers and open handling and lowering the risk of sample loss and contamination.

 

✅ Integrated Desalting for Improved MS Performance

The MtoZ Biolabs' 96-Well C-Trap LysN Digestion and Desalting Kit can simultaneously attenuate the impact of salts and interfering components, reduce ion suppression, and enable more stable LC-MS/MS detection.

 

Technical Support

1. Protocol Downloads

MtoZ Biolabs provides comprehensive experimental protocols and product manuals to help ensure smooth and reproducible workflows. For access to specific documents or detailed instructions, please contact our support team.

 

2. Customized Service Support

Our experienced scientists offer tailored technical assistance and customized solutions based on your specific research goals, helping you achieve optimal experimental outcomes.

 

3. FAQ and Expert Assistance

We provide responsive and professional technical support to address your questions efficiently. Our experts are ready to help you identify and resolve experimental challenges quickly and accurately.

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