학술논문

Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance
Document Type
article
Source
Proceedings of the National Academy of Sciences of the United States of America. 114(52)
Subject
Biochemistry and Cell Biology
Biomedical and Clinical Sciences
Biological Sciences
Cancer
Genetics
Human Genome
Adaptation
Physiological
Antineoplastic Agents
Cell Line
Tumor
Drug Resistance
Neoplasm
Gene Expression Profiling
Humans
MAP Kinase Signaling System
Markov Chains
Melanoma
NF-kappa B
Phenotype
Proteome
Proteomics
Proto-Oncogene Proteins B-raf
Signal Transduction
Single-Cell Analysis
single-cell analysis
cell state transition
adaptive resistance
Markov chain model
melanoma
Language
Abstract
Continuous BRAF inhibition of BRAF mutant melanomas triggers a series of cell state changes that lead to therapy resistance and escape from immune control before establishing acquired resistance genetically. We used genome-wide transcriptomics and single-cell phenotyping to explore the response kinetics to BRAF inhibition for a panel of patient-derived BRAFV600 -mutant melanoma cell lines. A subset of plastic cell lines, which followed a trajectory covering multiple known cell state transitions, provided models for more detailed biophysical investigations. Markov modeling revealed that the cell state transitions were reversible and mediated by both Lamarckian induction and nongenetic Darwinian selection of drug-tolerant states. Single-cell functional proteomics revealed activation of certain signaling networks shortly after BRAF inhibition, and before the appearance of drug-resistant phenotypes. Drug targeting those networks, in combination with BRAF inhibition, halted the adaptive transition and led to prolonged growth inhibition in multiple patient-derived cell lines.