Blog

Androgens Explained: Biosynthesis, Metabolism, and Disease Relevance

Aug 10, 2026

Learn how androgens are synthesized and metabolized, how dysregulation relates to disease, and how LC-MS/MS supports androgen research.

GSEA vs ssGSEA vs GSVA: Contrast-Level Enrichment vs Sample-Level Pathway Scoring

Aug 07, 2026

Compare GSEA, ssGSEA, and GSVA by input, output, statistical meaning, use case, and interpretation in transcriptomic and proteomic studies.

Membrane Transport Proteins: Families, Mechanisms, Drug Discovery, and Multi-Omics Validation

Aug 04, 2026

Explore membrane transport protein families, mechanisms, drug discovery roles, and multi-omics approaches for functional validation.

Partial Correlation in Omics: Controlling Confounders to Reveal More Direct Associations

Aug 03, 2026

Learn how partial correlation helps control confounders in omics data analysis, including covariate selection, network analysis, and interpretation limits.

Plant Metabolomics and Multi-Omics for Root Navigation in Complex Soil Environments

Jul 28, 2026

Explore how plant metabolomics and multi-omics help decode root navigation, decay-derived pH gradients, saprotropism, root-microbe-soil communication, hormone signaling, and plant stress adaptation.

Reduced Glutathione vs. Oxidized Glutathione: What the GSH/GSSG Balance Reveals About Cellular Redox State

Jul 24, 2026

Learn how GSH, GSSG, and the GSH/GSSG ratio reflect glutathione redox balance, oxidative stress, sample handling, and LC-MS/MS analysis.

ROC Curve Analysis in Omics: A Practical Guide to AUC, Cutoff Selection, Validation, and Interpretation

Jul 23, 2026

Learn how to interpret ROC curves in omics research, including AUC, sensitivity, specificity, cutoff selection, validation, R, and Python examples.

How to Read GO Enrichment Results: A Complete Guide to GeneRatio, BgRatio, p-value, and FDR Interpretation

Jul 22, 2026

Learn how to interpret GO enrichment results, including GeneRatio, BgRatio, p-value, FDR, ORA, GSEA, dot plots, and multi-omics analysis.

Gamma-Aminobutyric Acid (GABA): From Inhibitory Signaling to Metabolomics Research

Jul 21, 2026

Learn how GABA metabolism connects inhibitory signaling, the GABA shunt, glutamate metabolism, gut-brain axis research, LC-MS/MS, and multi-omics.

Uric Acid Metabolism and Homeostasis in Health and Disease

Jul 14, 2026

Learn how uric acid metabolism, urate transport, LC-MS/MS metabolomics, and multi-omics research support studies of hyperuricemia, gout, and kidney stones.

Glutamate Metabolism Explained: Neural Signaling, Cancer Biology, and LC-MS Multi-Omics Research

Jul 13, 2026

Learn how glutamate metabolism connects neurotransmission, cancer biology, redox balance, GABA synthesis, and LC-MS multi-omics research.

Glucocorticoids Explained: Cortisol in Immunity, Metabolism, and Stress Response

Jul 06, 2026

Learn how glucocorticoids such as cortisol regulate the HPA axis, inflammation, immune responses, metabolism, and stress adaptation.

Parametric vs Nonparametric Tests in Omics Data Analysis: Key Differences and Use Cases

Jun 26, 2026

Learn when to use parametric or nonparametric tests in omics data analysis, including t-tests, ANOVA, Mann–Whitney U, FDR, and study design tips.

Plasma Lipidomics for Cardiovascular Risk Prediction: Key Biomarkers and Clinical Insights

Jun 25, 2026

Learn how plasma lipidomics reveals CVD risk biomarkers, from ceramides and triglyceride species to sphingolipids and multi-omics insights.

How to Validate Quantitative Proteomics Results: Strategies, Workflows, and Biomarker Applications

Jun 23, 2026

Learn how to validate quantitative proteomics results using PRM/MRM, Western blot, ELISA, IHC, IF, and functional follow-up workflows.

Univariate vs Multivariate Analysis for Omics Data Analysis: What’s the Difference and How Are They Used?

Jun 08, 2026

Learn how univariate and multivariate analysis differ in omics data analysis, and how to use both for biomarkers, PCA, volcano plots, and pathway insights.

Oncoproteomics: Advancing Cancer Biomarker Discovery and Therapeutic Target Identification

Jun 04, 2026

Learn how oncoproteomics uses LC-MS/MS, PTM, EV, and spatial proteomics to discover cancer biomarkers and prioritize therapeutic targets.

How Lipidomics Reveals Targetable Metabolic Vulnerabilities in Pancreatic Cancer

Jun 04, 2026

Learn how lipidomics helps uncover lipid metabolism vulnerabilities in pancreatic cancer, with insights into cystine limitation stress, drug response, biomarker research, spatial lipidomics, and multi-omics analysis.

One-Carbon Metabolism in Health and Disease: Pathways, Biomarkers, and LC-MS/MS Analysis

May 27, 2026

Learn how one-carbon metabolism links folate, methionine, methylation, redox balance, and disease research, plus key LC-MS/MS biomarkers.

Long-Chain Fatty Acids: Classification, Metabolism, Disease Research, and Lipidomics Analysis

May 26, 2026

Explore long-chain fatty acid classification, metabolism, disease relevance, and how LC-MS/MS lipidomics and GC-MS fatty acid profiling support research.