Resources

Proteomics Databases



Metabolomics Databases

• • Common Failure Points in Monoclonal Antibody Sequencing Projects and How to Prevent Rework

  Technical guide for Common Failure Points in Monoclonal Antibody Sequencing Projects and How to Prevent Rework.

• • Monoclonal Antibody Sequencing for Legacy Antibody Redevelopment and Biosimilar Reference Work

  Technical guide for Monoclonal Antibody Sequencing for Legacy Antibody Redevelopment and Biosimilar Reference Work.

• • Co-IP Limitations & In-Cell Crosslinking MS for Weak Protein Interactions

  Introduction Co-immunoprecipitation, or Co-IP, is widely used to study protein-protein interactions because it can enrich a target protein and identify associated partners by Western blot or mass spectrometry. The method works well for stable complexes, especially when the bait protein, antibody, lysis buffer, and wash conditions are well optimized. However, many biologically important interactions are not stable. Signaling proteins, transcriptional regulators, membrane-associated complexes, kinase su......

• • How to Verify Heavy and Light Chain Pairing After Hybridoma Monoclonal Antibody Sequencing

  Technical guide to verifying heavy and light chain pairing after hybridoma monoclonal antibody sequencing using peptide evidence, mass checks, and reconstruction-focused decision criteria.

• • How to Evaluate De Novo Sequencing Services: Cost Drivers and Vendor Selection

  Introduction Once a research team decides that database-free sequence analysis is necessary, the next challenge is usually commercial rather than technical. How much should a database-free sequencing project cost? What deliverables justify the expense? Which vendor can produce data strong enough for publication, cloning, or QC release? These questions matter because the method is typically more resource-intensive than routine database-assisted identification. Project cost is shaped by more than sampl......

• • De Novo Sequencing When Database Search Fails: A Practical Troubleshooting Guide

  Introduction A failed database search is one of the most frustrating outcomes in a protein characterization project. The sample may be pure enough to detect clearly by SDS-PAGE or LC-MS, yet the search engine returns weak matches, low coverage, or multiple unrelated protein candidates. For a lab preparing a manuscript, validating a recombinant product, or documenting a proprietary protein, this result creates immediate uncertainty. Database-assisted protein identification works well when the correct ......

• • How to Interpret Monoclonal Antibody Sequencing Results Before Humanization or Engineering

  Technical guide for How to Interpret Monoclonal Antibody Sequencing Results Before Humanization or Engineering.

• • Sample and Input Requirements for Monoclonal Antibody Sequencing Projects

  Technical guide for Sample and Input Requirements for Monoclonal Antibody Sequencing Projects.

• • Antibody Sequencing Methods Compared: How to Choose the Right Approach

  Antibody sequencing projects often stall at method selection. A team may have a functional monoclonal antibody, but the available material may be hybridoma cells, RNA, purified IgG, or only a partial historical record. Hybridoma sequencing, PCR-based antibody sequencing, de novo antibody sequencing, and reference-based peptide mapping can all produce useful sequence information, but they begin from different sample types and support different downstream decisions.

• • How to Optimize Antibody Sequencing: From Sample Preparation to Variable Region Analysis

  Antibody sequence recovery projects often begin with an urgent need: recover the VH and VL sequence from a hybridoma backup, verify a recombinant IgG, or rescue a clone when transcript data are incomplete. The expectation is that LC-MS/MS can read the variable region directly from the antibody protein. In practice, weak VH/VL reporting is common. CDR peptides may be under- recovered. Heavy and light chains may remain mixed. Contaminants may dominate the spectra.