Resources

Proteomics Databases



Metabolomics Databases

• • 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.

• • What Controls Are Needed for Co-IP-MS and In-Cell Crosslinking MS?

  Protein interaction mass spectrometry can reveal binding partners, complex composition, and spatially constrained protein contacts. The main challenge is that interaction MS data can contain both true biology and technical background. A protein may appear in a Co-IP-MS dataset because the protein binds the bait, binds the antibody, binds beads, or survives washing because the protein is abundant.

• • How to Identify Accessory Proteins of Ion Channels by Mass Spectrometry

  Mass spectrometry can solve this problem when the workflow is designed around membrane biology. The goal is not only to identify proteins in the same sample. The goal is to distinguish likely channel-associated partners from background proteins, expression artifacts, and extraction- dependent noise.

• • Co-IP-MS vs XL-MS: Which Protein Interaction Workflow Should You Choose?

  The most useful way to compare Co-IP-MS vs XL-MS is to start with the desired readout. Co-IP-MS is usually stronger for bait-centered partner discovery and complex profiling. XL-MS is usually stronger for mapping spatial proximity within or between proteins. Both workflows can be valuable, but each workflow has different sample requirements, controls, failure modes, and interpretation limits.

• • Hybridoma Monoclonal Antibody Sequencing for Cell Line Transfer and Recombinant Reformatting

  Technical guide for Hybridoma Monoclonal Antibody Sequencing for Cell Line Transfer and Recombinant Reformatting.

• • Monoclonal Antibody Sequencing for Recombinant Recovery: When Should You Sequence an Existing Antibody Asset?

  Technical guide for Monoclonal Antibody Sequencing for Recombinant Recovery: When Should You Sequence an Existing Antibody Asset?.

• • Monoclonal Antibody Sequencing vs De Novo Protein Sequencing: Which Route Fits an Antibody Recovery Project?

  Technical guide for Monoclonal Antibody Sequencing vs De Novo Protein Sequencing: Which Route Fits an Antibody Recovery Project?.