Cancer cells constantly evolve in response to acute and chronic stimuli. Drug resistance is one product of this evolution, as cells quickly adopt drug-resistant states when exposed to pharmacological treatments. How cancer cells reach drug resistance remains unclear, so researchers from the California Institute of Technology implemented a multi-omics approach for characterizing drug resistance mechanisms using IsoPlexis’ single-cell proteomics.
Download this research summary to find out how James Heath's team used predictive single-cell functional proteomic and metabolic assays to investigate changing cellular states in melanoma cells for the development of improved targeted therapies.
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