Variability within rare cell states enables multiple paths toward drug resistance.
Benjamin L EmertChristopher J CoteEduardo A TorreIan P DardaniConnie L JiangNaveen JainSydney M ShafferArjun RajPublished in: Nature biotechnology (2021)
Molecular differences between individual cells can lead to dramatic differences in cell fate, such as death versus survival of cancer cells upon drug treatment. These originating differences remain largely hidden due to difficulties in determining precisely what variable molecular features lead to which cellular fates. Thus, we developed Rewind, a methodology that combines genetic barcoding with RNA fluorescence in situ hybridization to directly capture rare cells that give rise to cellular behaviors of interest. Applying Rewind to BRAFV600E melanoma, we trace drug-resistant cell fates back to single-cell gene expression differences in their drug-naive precursors (initial frequency of ~1:1,000-1:10,000 cells) and relative persistence of MAP kinase signaling soon after drug treatment. Within this rare subpopulation, we uncover a rich substructure in which molecular differences among several distinct subpopulations predict future differences in phenotypic behavior, such as proliferative capacity of distinct resistant clones after drug treatment. Our results reveal hidden, rare-cell variability that underlies a range of latent phenotypic outcomes upon drug exposure.
Keyphrases
- single cell
- drug resistant
- induced apoptosis
- gene expression
- cell cycle arrest
- rna seq
- multidrug resistant
- cell therapy
- emergency department
- cell fate
- oxidative stress
- stem cells
- genome wide
- type diabetes
- dna methylation
- drug induced
- high throughput
- cystic fibrosis
- bone marrow
- pseudomonas aeruginosa
- combination therapy
- insulin resistance
- cell proliferation
- pi k akt
- replacement therapy
- quantum dots
- protein kinase