Blog

Proteomics Data Normalization: How to Remove Batch Effects and Non-biological Bias

Mar 04, 2026

Learn how to spot, prevent, and correct batch effects in proteomics—plus a practical workflow and method-by-method guidance for reliable quant.

Endogenous vs Exogenous Metabolites in Metabolomics: Definitions, Boundary Cases, and Source Attribution

Mar 02, 2026

Learn how to distinguish endogenous vs exogenous metabolites in metabolomics, handle gray-area “boundary cases,” and apply a practical, evidence-based framework for source attribution.

Data Calibration in TMT/iTRAQ Proteomics: How to Identify and Correct Channel Interference and Ratio Compression

Feb 28, 2026

Learn how to spot and fix TMT/iTRAQ channel interference and ratio compression—with practical QC red flags and calibration strategies (internal reference and mixed-sample/reference-channel) to improve quantitative accuracy.

Metabolite Identification in LC-MS Metabolomics: Identification Principles and Confidence Levels

Feb 27, 2026

Learn how LC–MS metabolite IDs are made—what evidence (exact mass, MS/MS, RT, CCS) really proves, and how to report MSI confidence levels (1–4) correctly.

Bottom-up vs Top-down vs Middle-down Proteomics: How to Choose the Right Strategy for PTM Analysis

Feb 26, 2026

Learn how bottom-up, top-down, and middle-down proteomics differ for PTM analysis—and how to choose the right strategy for PTM site localization, proteoform context, throughput, and PTM crosstalk.

Lipid Structural Composition Analysis in Lipidomics: Understanding Average Chain Length (ACL) and Unsaturation (ADU)

Feb 25, 2026

Learn how to calculate and interpret Average Chain Length (ACL) and Average Degree of Unsaturation (ADU) in lipidomics—plus a practical workflow, normalization tips, and worked examples for class-level lipid remodeling insights.

Spatial Metabolomics Sample Preparation: Cryosectioning vs. Pressing vs. Imprinting for MSI

Feb 24, 2026

Choose the right spatial metabolomics sample prep method—cryosectioning, pressing, or imprinting—with a clear comparison and decision guide for MSI.

Protein Subcellular Localization: Why a Protein's "Workplace" Matters

Feb 20, 2026

Learn how protein location controls function, how mislocalization drives disease, and which spatial proteomics tools map proteins across organelles.

MTBE vs. Chloroform–Methanol Lipid Extraction: Which Method Fits Your Lipidomics Workflow?

Feb 19, 2026

MTBE vs chloroform–methanol for lipidomics: compare recovery, safety, phase handling, throughput, and best-use scenarios—with a practical checklist to improve LC–MS data quality.

Unlocking Plant Development: A Metabolic Map from Seed to Maturity with Spatial Metabolomics

Feb 18, 2026

Build a plant "metabolic map" from seed to senescence with spatial metabolomics (MSI)—see where metabolites change and how to design robust experiments.

LIPID MAPS Lipid Classification and Nomenclature Rules: A Practical Guide

Feb 12, 2026

Learn the LIPID MAPS lipid classification system, key structures across major lipid categories, and practical nomenclature rules to read lipid names accurately in lipidomics.

Phosphopeptide Enrichment for Phosphoproteomics: TiO2 vs IMAC vs Antibody-Based Methods

Feb 11, 2026

Learn how TiO2, IMAC, and antibody-based enrichment differ in specificity, recovery, and bias—plus a practical framework to choose the best phosphopeptide enrichment workflow for your study.

Peptide-Spectrum Matching (PSM): The Core of Proteomics Database Search Algorithms

Feb 11, 2026

Learn how peptide-spectrum matching (PSM) works in proteomics database search—from spectrum preprocessing and candidate generation to scoring models (SEQUEST, Mascot, Andromeda) and ML rescoring (Percolator, Prosit).

FDR Control in Proteomics: Principles, Calculation Methods, and Threshold Selection

Feb 10, 2026

Learn how FDR control works in proteomics—Target-Decoy basics, peptide→protein FDR workflows, “picked” FDR, and how to choose the right cutoff for confident IDs.

Gut Microbes' Chemical Dialogue: How Metabolomics Decodes the "Second Brain" Health Code

Feb 09, 2026

Discover how metabolomics reveals what gut microbes do—linking microbial metabolites to inflammation, metabolic disease, and cancer, plus a practical multi-omics roadmap.

A Comprehensive Guide to Quantitative Lipidomics: Methodologies, Workflows, and Applications

Feb 06, 2026

Explore the power of quantitative lipidomics in biomedical research. Learn about key methodologies, workflows, and applications for discovering lipid biomarkers and unraveling complex diseases. Understand how LC-MS and GC-MS platforms contribute to lipid profiling and drug development.

Peptidomics: Unlocking the Hidden Language of the Proteome for Precision Medicine

Feb 05, 2026

Peptidomics explained: what it is, how LC–MS/MS workflows work, and how endogenous peptides enable biomarker discovery, immunopeptidomics, and peptide drug development in precision medicine.

Cell Surface Proteomics (Surfaceome) Guide: Definition, Workflow, and Translational Applications

Feb 04, 2026

Map the cell "surfaceome" to uncover biomarkers and drug targets. Learn enrichment strategies, LC–MS workflows, and real-world applications in oncology and immunotherapy.

From "Average" to "Tissue Maps": The Evolution and Future Trends of Spatial Metabolomics

Feb 04, 2026

Spatial metabolomics turns tissue "averages" into metabolic maps. Learn key technologies, use cases, future trends, and how to plan a successful study.

Fecal Metabolomics: Decoding Gut Microbiota–Host Interactions Through Microbial Metabolites

Feb 03, 2026

Learn what fecal metabolomics reveals about gut microbiota function—key metabolite classes, LC-MS/GC-MS workflows, multi-omics integration, and real-world applications for biomarker discovery.