Blog

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.

Choosing the Best Proteomics Quantification Strategy: A Comprehensive Guide

Feb 02, 2026

Compare label-based, label-free, and targeted proteomics. Learn to choose the right quantification strategy for discovery or validation based on your specific research goals.

Best Practices for Blood Proteomics Sample Prep: Selecting Anticoagulants and Optimizing Pre-analytical Variables

Jan 30, 2026

Learn how selecting the right anticoagulant and optimizing pre-analytical variables can enhance plasma proteomics analysis. This guide explores the best practices for blood sample preparation to ensure accurate, reliable proteomic data.

Bypassing "Undruggable" Targets: How Phosphoproteomics Illuminates Downstream Pathways for Cancer Therapy

Jan 29, 2026

Discover how phosphoproteomics reveals actionable targets in cancer therapy. Learn how measuring phosphorylation dynamics helps overcome undruggable drivers, uncovers druggable pathways, and informs combination therapies for more effective cancer treatment.

How to Choose the Right Proteomics Technology? A Decision Guide from Sample to Goal

Jan 29, 2026

Explore how to choose the right proteomics technology based on sample types and research goals. Learn the key differences between DDA, DIA, TMT/iTRAQ, and PRM/SRM to optimize your proteomics workflow.

Quantitative Proteomics: Pioneering Techniques and Future Directions

Jan 28, 2026

Discover the latest techniques in quantitative proteomics, including mass spectrometry, isotope labeling, label-free quantification, and emerging technologies like Olink and SomaScan. Learn how these methods enable precise protein quantification for advanced biomarker discovery, clinical applications, and more.

From Biomarkers to Mechanisms: How Proteomics Is Reshaping Metabolic Disease Studies

Jan 26, 2026

Discover how proteomics improves metabolic disease subtyping, risk prediction, causal target discovery, and blood-based monitoring for T2D and NAFLD/MASH.