Darren R. Tyson

Darren R. Tyson

Chicago boy, Cali-seasoned, mountain biker, mad scientist

Publications

SCLC Archetypes

Published in Cell Systems, 2022

This paper describes the transcriptomics-defined archetypes found in small cell lung cancer, their enriched/selected phenotypes, and the relationship between the phenotypic heterogeneity and plasticity.

Recommended citation: Groves SM, Ildefonso GV, McAtee CO, Ozawa PMM, Ireland AS, Stauffer PE, Wasdin PT, Huang X, Qiao Y, Lim JS, Bader J, Liu Q, Simmons AJ, Lau KS, Iams WT, Hardin DP, Saff EB, Holmes WR, Tyson DR, Lovly CM, Rathmell JC, Marth G, Sage J, Oliver TG, Weaver AM, Quaranta V. Archetype tasks link intratumoral heterogeneity to plasticity and cancer hallmarks in small cell lung cancer. Cell Syst. 2022; 13(9) 690-710.e17. doi:10.1016/j.cels.2022.07.006. PubMed PMID: 35981544. PMCID: PMC9615940. https://doi.org/10.1016/j.cels.2022.07.006

Quantifying Drug Combination Synergy along Potency and Efficacy Axes

Published in Cell Systems, 2019

This paper describes a quantitative framework and experimental approach for analyzing drug synergy that distinguishes drug efficacy from potency.

Recommended citation: Meyer CT, Wooten DJ, Paudel BB, Bauer J, Hardeman KN, Westover D, Lovly CM, Harris LA, Tyson DR, Quaranta V. Quantifying Drug Combination Synergy along Potency and Efficacy Axes. Cell Syst. 2019; 8(2) 97-108.e16. doi:10.1016/j.cels.2019.01.003. PubMed PMID: 30797775. PMCID: PMC6675406 https://doi.org/10.1016/j.cels.2019.01.003

An unbiased metric of antiproliferative drug effect in vitro

Published in Nature Methods, 2016

We propose the drug-induced proliferation (DIP) rate, the slope of the line on a plot of cell population doublings versus time, as an alternative, time-independent metric

Recommended citation: Harris LA, Frick PL, Garbett SP et al. An unbiased metric of antiproliferative drug effect in vitro. Nat Methods. 2016; 13(6) 497-500. doi:10.1038/nmeth.3852. PubMed PMID: 27135974. PMCID: PMC4887341. https://doi.org/10.1038/nmeth.3852

Fractional Proliferation

Published in Nature Methods, 2012

A method to deconvolve cell population dynamics from single-cell data.

Recommended citation: Tyson DR, Garbett SP, Frick PL, Quaranta V. Fractional proliferation: a method to deconvolve cell population dynamics from single-cell data. Nat Methods. 2012; 9 923-928. doi:10.1038/nmeth.2138. PubMed PMID: 22886092. PMCID: PMC3459330 https://doi.org/10.1038/nmeth.2138