Resources

Proteomics Databases



Metabolomics Databases

• • How to Improve Disease Biomarker Discovery Antibody Analysis Optimization in Research Workflows

  Technical guide for How to Improve Disease Biomarker Discovery Antibody Analysis Optimization in Research Workflows.

• • How to Improve Antibody Diversity and Specificity Analysis Workflows

  Technical guide for How to Improve Antibody Diversity and Specificity Analysis Workflows.

• • Antibody Diversity And Specificity Analysis vs Mass Spectrometry: Method Selection and Research Use Cases

  Technical guide for Antibody Diversity And Specificity Analysis vs Mass Spectrometry: Method Selection and Research Use Cases.

• • HLA Peptidome Analysis Strategies in Personalized Cancer Immunotherapy

  With the widespread application of immunotherapy in cancer treatment, strategies such as personalized tumor vaccines, TCR-T, and CAR-T therapies have become major research focuses. However, variability in therapeutic efficacy and the complexity of patient-specific immune responses have highlighted limitations in current precision immunotherapy approaches. In this context, HLA peptidome (immunopeptidome) analysis has emerged as a critical tool linking antigen processing with T cell recognition and is i......

• • Advances in Immunopeptidomics Research in Autoimmune Diseases

  Autoimmune diseases (AIDs) are a group of disorders in which the immune system aberrantly attacks self-tissues. Common types include systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and type 1 diabetes (T1D), among others. Although dysregulated immune regulatory mechanisms have been extensively investigated, the initiating event of immune recognition, antigenic peptide fragments presented by major histocompatibility complex (MHC) molecules, collectively referred to as the immunopeptidome......

• • Edman Sequencing: When N-Terminal Residue Analysis Is Still the Right Choice

  Protein characterization now offers many mass spectrometry-based options for sequence confirmation, peptide mapping, and de novo assembly. In that landscape, Edman sequencing can appear old-fashioned. Yet N-terminal residue analysis by Edman degradation remains a strong choice in many real projects because it answers a focused question with direct chemistry: what amino acids are present at the free N-terminus, in order, starting from cycle one?

• • How Much Does Peptide Sequencing Cost? Factors That Affect Analytical Complexity

  Researchers planning peptide sequencing often ask for a single price before the sample and analytical goal are defined. That question is understandable. Grant budgets, vendor comparisons, and QC timelines all depend on cost predictability. However, this type of analysis is rarely sold as a fixed-price assay.

• • Peptide Sequencing Methods Compared: De Novo Analysis vs Database Search

  Most proteomics workflows use reference-based search as the default route for peptide assignment. The method is efficient, scalable, and well supported when a high-quality reference proteome or expected sequence is available. However, many peptide-level projects do not fit that assumption. A synthetic product may need independent verification.

• • How to Optimize Peptide Sequencing: Sample Preparation, MS/MS Acquisition, and Data Analysis

  Peptide sequence projects often begin with a straightforward need: verify a synthetic peptide, identify an unknown fraction from digestion, or resolve an ambiguous MS/MS spectrum before a larger proteomics decision is made. The expectation is that LC-MS/MS can deliver a dependable amino acid sequence quickly. In practice, weak sequence calls are common.

• • Peptide Sequencing: Principles, Analytical Workflows, and Proteomics Applications

  Peptide sequence is often the first concrete structural answer a proteomics project needs. A synthetic peptide may require verification before downstream use. A fraction from enzymatic digestion may contain an unknown peptide that must be characterized before protein-level conclusions are made.