A Caltech Library Service

Trajectories from Snapshots: Integrated proteomic and metabolic single-cell assays reveal multiple independent adaptive responses to drug tolerance in a BRAF-mutant melanoma cell line

Su, Yapeng and Li, Guideng and Ko, Melissa E. and Cheng, Hanjun and Zhu, Ronghui and Xue, Min and Wang, Jessica and Lee, Jihoon W. and Frankiw, Luke and Xu, Alexander and Wong, Stephanie and Robert, Lidia and Takata, Kaitlyn and Huang, Sui and Ribas, Antoni and Levine, Raphael and Nolan, Garry P. and Wei, Wei and Plevritis, Sylvia K. and Baltimore, David and Heath, James R. (2019) Trajectories from Snapshots: Integrated proteomic and metabolic single-cell assays reveal multiple independent adaptive responses to drug tolerance in a BRAF-mutant melanoma cell line. . (Unpublished)

[img] PDF - Submitted Version
See Usage Policy.


Use this Persistent URL to link to this item:


The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge, with relevance towards understanding biological changes ranging from cellular differentiation to epigenetic (adaptive) responses of diseased cells to drugging. We report on a combined experimental and theoretic method for determining the trajectories that specific highly plastic BRAFV600E mutant patient-derived melanoma cancer cells take between drug-naive and drug-tolerant states. Recent studies have implicated non-genetic, fast-acting resistance mechanisms are activated in these cells following BRAF inhibition. While single-cell highly multiplex omics tools can yield snapshots of the cell state space landscape sampled at any given time point, individual cell trajectories must be inferred from a kinetic series of snapshots, and that inference can be confounded by stochastic cell state switching. Using a microfludic-based single-cell integrated proteomic and metabolic assay, we assayed for a panel of signaling, phenotypic, and metabolic regulators at four time points during the first five days of drug treatment. Dimensional reduction of the resultant data set, coupled with information theoretic analysis, uncovered a complex cell state landscape and identified two distinct paths connecting drug-naive and drug-tolerant states. Cells are shown to exclusively traverse one of the two pathways depending on the level of the lineage restricted transcription factor MITF in the drug-naive cells. The two trajectories are associated with distinct signaling and metabolic susceptibilities, and are independently druggable. Our results update the paradigm of adaptive resistance development in an isogenic cell population and offer insight into the design of more effective combination therapies.

Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription Paper
Li, Guideng0000-0003-0840-7262
Wang, Jessica0000-0003-1421-4969
Xu, Alexander0000-0003-4877-4358
Takata, Kaitlyn0000-0003-4864-9741
Wei, Wei0000-0002-1018-7708
Baltimore, David0000-0001-8723-8190
Heath, James R.0000-0001-5356-4385
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. bioRxiv preprint first posted online Sep. 12, 2019. We thank members of the Heath and Baltimore laboratories for helpful comments on the manuscript. We acknowledge the following agencies and foundations for support: NIH Grants U54 CA199090 (to J.R.H., D.B., W.W., and A.R.), U01 CA217655 (to J.R.H. and W.W.), P01 CA168585 (to A.R.), R35 CA197633 (to A.R.), and U54CA209971 (to S.K.P.); the Dr. Robert Vigen Memorial Fund, the Ressler Family Fund, and Ken and Donna Schultz (A.R.); the Jean Perkins Foundation (J.R.H.); ISB Innovator Award (Y.S.). L.R. was supported by the V Foundation-Gil Nickel Family Endowed Fellowship and a scholarship from SEOM. M.E.K. was supported by the National Cancer Institute of the National Institutes of Health under Award Number F99 CA212231 and Stanford University’s Diversifying Academia, Recruiting Excellence Fellowship. We acknowledge Rochelle Diamond and the Caltech Flow Cytometry Cell Sorting Facility for FACS analysis and advice. Author Contributions: J.R.H. and Y.S. conceived the study. Y.S. and G.D. designed the experiments. Y.S., G.D, H.C., R.Z, M.X., J.W., S.W., J.L., K.T., J.L., L.K., A.X., and L.R. performed the experiments. M.E.K., Y.S., W.W. and R.L. analyzed and interpreted the data. J.R. H., W.W., S.K.P., G.P.N, S.H., A.R., and M.E. provided conceptual advice on the data analysis and interpretation. Y.S., G.D., M.E.K. and J.R.H. wrote the manuscript. J.R.H. and D.B. supervised this study. Competing Interests: J.R.H. and A.R. are affiliated with Isoplexis, which is seeking to commercialize the single-cell barcode chip technology. All other authors declare no competing financial interests.
Funding AgencyGrant Number
NIHU54 CA199090
NIHU01 CA217655
NIHP01 CA168585
NIHR35 CA197633
Dr. Robert Vigen Memorial FundUNSPECIFIED
Ressler Family FundUNSPECIFIED
Ken and Donna SchultzUNSPECIFIED
Jean Perkins FoundationUNSPECIFIED
V Foundation-Gil Nickel Family Endowed FellowshipUNSPECIFIED
National Cancer InstituteUNSPECIFIED
NIHF99 CA212231
Stanford UniversityUNSPECIFIED
Record Number:CaltechAUTHORS:20190913-074926949
Persistent URL:
Official Citation:Trajectories from Snapshots: Integrated proteomic and metabolic single-cell assays reveal multiple independent adaptive responses to drug tolerance in a BRAF-mutant melanoma cell line. Yapeng Su, Guideng Li, Melissa E. Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W. Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Sui Huang, Antoni Ribas, Raphael Levine, Garry P. Nolan, Wei Wei, Sylvia K. Plevritis, David Baltimore, James R. Heath. bioRxiv 767988; doi:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98628
Deposited By: Tony Diaz
Deposited On:13 Sep 2019 15:02
Last Modified:16 Nov 2021 17:40

Repository Staff Only: item control page