Innovative Metabolomics Insights for Better Health
Joined November 2021
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A recurring theme at EACR 2026:
Cancer research increasingly needs molecular data with tissue context.
Spatial omics can help show not only what changes, but where those changes occur.
Visit MetwareBio at Booth #106. metwarebio.com/contact-us/
#EACR2026 #SpatialOmics
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Univariate and multivariate analysis answer different questions in omics research.
Our new blog explains how p-values, fold change, volcano plots, PCA, PLS-DA, VIP scores, and clustering work together in omics analysis.
Read more: metwarebio.com/univariate-vs…
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Live from EACR 2026.
MetwareBio is at Booth #106, discussing spatial metabolomics, spatial lipidomics, spatial proteomics, DIA proteomics, and multi-omics solutions for cancer research.
Stop by and connect with us in Budapest. metwarebio.com/contact-us/
#EACR2026
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Heading to EACR 2026?
Stop by MetwareBio Booth #106 to discuss spatial omics, proteomics, metabolomics, and multi-omics solutions for cancer and translational research. metwarebio.com/eacr2026-canc…
#EACR2026 #CancerResearch
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Publication highlight:
A Nature Communications study investigated how cystine limitation stress can create a targetable lipid metabolism vulnerability in pancreatic cancer.
Our blog explains how lipidomics helps reveal stress-associated lipid remodeling. metwarebio.com/lipidomics-pa…
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Tumor biology is spatial.
Spatial metabolomics helps reveal where metabolic changes occur within tissue sections, supporting studies of tumor microenvironment, drug response, and spatial biomarker discovery.
Meet MetwareBio at EACR 2026 Booth #106.
#EACR2026 #SpatialMetabolomics
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MetwareBio will be at EACR 2026 in Budapest, June 8–11.
Visit us at Booth #106 to discuss spatial metabolomics, spatial lipidomics, spatial proteomics, DIA proteomics, metabolomics, and multi-omics for cancer research.
metwarebio.com/eacr2026-canc…
#EACR2026 #SpatialOmics
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San Diego, see you soon.
A MetwareBio technical specialist will be attending ASMS 2026 to follow the latest discussions in MSI, spatial metabolomics, lipid imaging, DIA proteomics, and omics data interpretation.
#ASMS2026 #SpatialOmics
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ASMS 2026 is coming up.
MetwareBio's technical specialist will be attending in San Diego to follow advances in MS imaging, spatial metabolomics, spatial lipidomics, DIA proteomics, metabolite annotation, and multi-omics interpretation.
#ASMS2026 #MassSpectrometry
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Long-chain fatty acids are more than energy substrates—they shape membrane structure, lipid signaling, inflammation, and disease metabolism.
Our latest blog explains LCFA classification, metabolism, disease relevance, and lipidomics analysis strategies.
metwarebio.com/long-chain-fa…
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Choosing the right extraction method depends on your sample type, target metabolites, and MS workflow. Learn how to select, optimize, and validate metabolite extraction strategies for LC-MS and GC-MS metabolomics.
Read the guide: metwarebio.com/metabolite-ex…
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Proteomics data is more useful when you know where proteins function. This guide explains how subcellular localization analysis maps DEPs to compartments like the nucleus, mitochondria, ER, and membrane to support biological interpretation.
Read more: metwarebio.com/subcellular-l…
ALT Key cellular compartments
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Our colleague Chang Deng is visiting Singapore this week, meeting with researchers and partners across the life science community.
Planning an omics project in Singapore or APAC? Let’s talk spatial metabolomics, proteomics, metabolomics, and multi-omics integration.
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New service: MetwareBio GC-MS Volatile Metabolomics Service.
Profile VOCs involved in aroma, flavor, stress response, host-microbe interactions, and biological signaling using an HS-SPME GC-MS workflow.
Learn more: metwarebio.com/volatile-meta…
#Metabolomics #GCMS
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ORA or GSEA—which pathway enrichment method should you use for omics data?
This guide compares inputs, assumptions, strengths, and limitations to help researchers choose the right approach for proteomics interpretation.
Read the blog: metwarebio.com/ora-vs-gsea-p…
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Don’t miss the chance to connect with us at AACR 2026, Booth 3552!
If you’re working in cancer research and looking for the right partner in proteomics, metabolomics, lipidomics, or multi-omics, come by and chat with the MetwareBio team.
#AACR2026 #CancerResearch #Proteomics
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How does widely-targeted metabolomics work?
This blog breaks down the workflow, why DDA MRM matters, and where it is used in biomarker discovery, disease research, and crop science.
Read more:metwarebio.com/widely-target…
ALT The technical workflow diagram of widely-targeted metabolomics approach
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Not every “top hit” in omics is a strong biomarker candidate.
This blog explains how fold change, p-value, FDR, and VIP answer different questions—and why the smallest p-value alone can mislead feature selection.
Read more: metwarebio.com/differential-…
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Spatial metabolomics can show where metabolites are in tissue, but identifying what they are is much harder than in LC-MS.
This blog explains a practical MSI identification workflow using accurate mass, MS/MS, spatial patterns, and biological evidence.
metwarebio.com/spatial-metab…
ALT Schematic of spatial metabolomics analysis tools and data processing workflow
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New blog: How do metabolites and plant hormones work together to shape plant growth? This article explains how metabolomics helps decode germination, branching, flowering, and senescence. A useful read for plant researchers. Read more: metwarebio.com/plant-metabol…
ALT Metabolic profiling in different scenarios
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