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The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
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This study introduces a novel metabolomics workflow for rapid drug discovery. The new method efficiently identifies antimicrobial compounds from complex mixtures using liquid chromatography-MS/MS and luminescent bioreporters.

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Area of Science:

  • Analytical Chemistry
  • Metabolomics
  • Drug Discovery

Background:

  • Specialized metabolites are vital drug candidates, but their identification from extracts is slow.
  • Nontargeted metabolomics faces bottlenecks in functional assessment, hindering biological understanding.
  • Urgent need for new drugs, especially antibiotics, necessitates faster discovery methods.

Purpose of the Study:

  • To develop a compound-resolved bioactivity-based metabolomics workflow.
  • To accelerate the identification of active agents from complex metabolite samples.
  • To address the bottleneck in functional assessment within metabolomics.

Main Methods:

  • Combined nontargeted liquid chromatography tandem mass spectrometry (LC-MS/MS) with high-frequency fractionation.
  • Utilized microfluidic paper-analytical devices (μPADs) for parallel spotting during MS/MS acquisition.
  • Employed luminescent bioreporter strains to detect cellular stress and correlate signals with MS data.

Main Results:

  • Demonstrated high sensitivity (down to 1 ng/spot) for antimicrobial compound detection.
  • Successfully identified multiple antimicrobial compounds from crude extracts of *Saccharopolyspora erythraea*.
  • Highlighted the workflow's practicality and high-throughput capability for drug discovery.

Conclusions:

  • The developed workflow enables rapid, compound-resolved bioactivity-based metabolomics.
  • This approach significantly speeds up the identification of potential drug candidates from complex samples.
  • The method advances systematic functional assessment in metabolomics and aids antibiotic discovery.