AI Insight
Researchers developed a single-run capillary electrophoresis mass spectrometry method that can simultaneously analyze both proteins and metabolites from the same limited biological sample. The technique exploits the natural separation of small molecules (predominantly singly charged) and peptides (multiply charged) during electrophoresis to organize them into distinct regions, enabling comprehensive detection without splitting samples. When applied to single frog embryo cells, the method successfully identified approximately 1,100 proteins and 86 metabolites simultaneously, revealing cell-type-specific molecular differences.
Why it matters
This advancement addresses a major challenge in analyzing rare or small biological samples, such as single cells, where material limitations typically force researchers to choose between measuring proteins or metabolites. The ability to obtain matched protein and metabolite data from a single analysis provides a more complete molecular picture while preserving precious sample material, with particular value for developmental biology, clinical diagnostics, and other applications involving scarce specimens.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Dual proteome-metabolome measurements from limited samples typically require sample splitting or sequential analyses using electrospray ionization mass spectrometry (ESI-MS). Here we show that capillary electrophoresis (CE) can avoid that tradeoff by organizing predominantly singly charged small molecules and multiply charged peptides into partially resolved, analyte-class-dependent regions of migration time-m/z space. Leveraging this intrinsic electrophoretic organization together with charge- and m/z-resolved precursor selection, we developed a single-run CE-ESI-MS workflow that combines single-vial sample processing with class-resolved tandem MS acquisition. In a HeLa digest spiked with 17 amino acids, the integrated analysis detected all amino acids while preserving proteomic depth relative to a dedicated proteomics run, yielding 1,221 versus 1,227 cumulative protein groups. Applied to identified single Xenopus laevis blastomeres, the method provided matched readouts of 86 metabolite features together with 1,097 and 1,083 protein groups from D1.1 and V1.1 cells, respectively. The paired measurements resolved cell-type-dependent molecular differences and mapped protein and metabolite changes into shared pathway context. These results establish analyte-class-dependent electrophoretic organization coupled to class-resolved MS acquisition as an analytical basis for single-run proteome-metabolome analysis by CE-ESI-MS in material-limited samples.