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Discovering Multiple Pathways to Drug Resistance in Melanoma Cells

In a study published in Nature Communications, researchers from the California Institute of Technology utilized Single-Cell Proteomics and Single-Cell Metabolomics to outline an approach for capturing the diverse range of trajectories that individual cells can take en route to drug resistance.

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In this Paper Summary we discuss:

Using unique single-cell functional proteomics and metabolomics to track cellular states
Predicting multiple pathways of resistance with functional phenotyping
How characterizing functional diversity can lead to more effective therapeutic combinations
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Understanding Functional Adaptations to Predict Effective Therapeutic Combinations

Cancer cells constantly evolve, regularly adopting new states in response to acute and chronic stimuli, posing a great challenge for treatment, as cells that are initially responsive to pharmacological agents can quickly adopt drug-resistant states through both genetic and non-genetic mechanisms.

Researchers used Single-Cell Proteomics and Single-Cell Metabolomics to show that cancer cell responses to a common stimulus may entail multiple divergent functional pathways while still resulting in the same genomic phenotype.

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