Using Mass Spectrometry to Screen Hundreds of Known and Unknown Metabolites

Aug 28, 2015 | Blogs, Life Science Research, Metabolomics | 0 comments

In the field of metabolomics, you typically choose to identify and characterize as many compounds as possible in an unbiased fashion, or screen for a specific set of compounds that are biologically relevant to your research. The beauty of the TripleTOF® System is that you don’t have to choose which path to take. With one acquisition strategy, your data can be processed using either workflow.

This technical note demonstrates the latter workflow for screening a collection of known compounds using the Accurate Mass Metabolite Spectral Library. Here, extracted ion chromatograms are generated for all compounds in the library and confirmed based upon retention time matching, mass accuracy, isotope pattern fit, and MS/MS library searching. The metabolite library contains over 500 metabolites from many compound classes and across a variety of pathways such as the TCA cycle, BCAA degradation/synthesis, glycolysis, and the urea cycle. In this study, a variety of metabolites were identified in urine in both positive ion and negative ion mode analysis.

Figure:Transition to MarkerView Software for Statistical Analysis. Generate any principal component analysis (PCA) and drive your biological interpretation faster because results in the loadings plot are already identified (center right). Combine with t-test analysis and rank your significantly differential metabolites by p-value.

 

 

A powerful follow-on workflow involves opening the results within MultiQuant™ Software for in-depth quantitative analysis, or MarkerView™ Software for statistical analysis. Within MarkerView, multiple samples can be compared with one another. Because each compound has already been identified with the Accurate Mass Metabolite Spectral Library, biological similarities across samples are immediately apparent in the subsequent loadings plot (as opposed to having m/z-RT pairs).

Additionally, the comparative screening tool in MasterView™ Software enables the comparison of all the samples versus a control. This can be used to screen and quickly capture any major changes compared to a control/baseline sample.

ADC analytics FAQs: Answering the most common questions about ADC characterization

Antibody-drug conjugates (ADCs) have emerged as one of the fastest-growing classes of biotherapeutics, combining the targeting specificity of monoclonal antibodies with the potency of cytotoxic payloads. However, this unique architecture also introduces significant analytical complexity. From drug-to-antibody ratio (DAR) distributions and charge variants to conjugation sites and structural modifications, ADCs present multiple, interconnected sources of heterogeneity that must be understood to ensure product quality and performance.

Sterile but toxic: Cereulide detection in food matrices

In a recent webinar, Ming Gao, Ph.D., Senior Research Chemist at Mérieux NutriSciences, explored the growing challenge of cereulide contamination in food products and the analytical strategies needed to detect this heat-stable toxin at trace levels. The session examined how LC-MS/MS can help laboratories overcome the limitations of traditional microbiological screening and meet emerging regulatory requirements.

How SCIEX Now empowers mass spec users to work with more control, clarity and confidence

In this interview, Andy Wilcox, Senior Market Development Manager, Aftermarket and Software, speaks with Susanna Baqué, Senior Director of Global Customer Experience, about how SCIEX Now gives customers one connected digital workspace to manage instruments, reduce time spent searching for information, resolve issues faster and keep their laboratory running more efficiently and with greater confidence.

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SCIEX Senior Market Development Manager - Life Sciences Research Americas Baljit has over 20 years of experience in the life science industry with respect to mass spectrometry. Baljit shares her insights on how metabolomics tackles some of the current issues associated with healthcare and influences how we define and quantitatively measure wellness and illness.

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