Blog

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.

Metabolite Extraction Methods for Metabolomics: Comparison, Selection, and Optimization

May 21, 2026

Compare metabolite extraction methods for MS-based metabolomics and learn how to choose, optimize, and validate the right workflow by sample type and target class.

How Sample Pre-Treatments Affect Spatial Metabolomics: A Practical Guide to Perfusion, Fixation, FFPE, and Decalcification

May 14, 2026

Learn how perfusion, fixation, FFPE, and decalcification affect spatial metabolomics data and sample suitability for MALDI-MSI studies.

Estrogen in Health and Disease: Types, Metabolism, Signaling, and Multi-Omics Research

May 13, 2026

Explore estrogen types, metabolism, signaling pathways, disease roles, and how multi-omics supports hormone-related research.

Subcellular Localization Analysis in Proteomics: Workflow, Interpretation, and Applications

May 11, 2026

Learn how subcellular localization analysis maps DEPs to cellular compartments to improve proteomics interpretation, biomarker discovery, and target prioritization.

Multi-Omics Correlation Analysis Guide for Omics Data Integration

May 07, 2026

Learn how to choose multi-omics correlation methods for integrating transcriptomics, proteomics, and metabolomics data.

Reactome Pathway Analysis in Omics Research: A Complete Guide to Applications, Visualization, and Interpretation

May 06, 2026

Learn what Reactome pathway analysis is, when to use it in omics research, how it compares with KEGG, and how to interpret key results.

What Is ORA? Over-Representation Analysis in Omics

Apr 29, 2026

Learn how ORA turns gene, protein, or metabolite lists into pathway insights, with workflow, tools, and best practices for omics studies.

Label-Free Quantification (LFQ) Workflow: A Step-by-Step Guide from MS Spectra to Protein Abundance

Apr 28, 2026

Learn how LFQ converts MS1 signals into protein abundance through feature detection, alignment, XIC integration, normalization, and quantification.

ORA vs GSEA: Choosing the Right Pathway Enrichment Method

Apr 27, 2026

Compare ORA and GSEA for omics pathway enrichment and learn when to use each method for proteomics interpretation.

Multiple Testing Correction in Proteomics: FWER vs FDR Methods

Apr 27, 2026

Learn how Bonferroni, Holm, Hochberg, BH, and BY corrections control false positives in differential proteomics and when to use each method.