Author

R. C. Doebele

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. T. Le· 2 shared A. Gupta· 1 shared A. Maynard· 1 shared A. Navarro· 1 shared A. Urisman· 1 shared A. Zee· 1 shared C. E. McCoach· 1 shared C. M. Blakely· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

A. T. Le

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Rapid, Functional sgRNA Screening Method for Generating Murine RET and NTRK1 Fusion Oncogenes

L. E. Heasley, L. Schubert, A. T. Le, T. K. Hinz, A. Navarro, S. K. Nelson-Taylor, R. A. Nemenoff, R. C. Doebele

This paper describes a method to validate sgRNAs that generate RET and NTRK1 fusion oncogenes in murine models, demonstrating their efficacy in creating tumor models responsive to targeted therapies.

bioRxiv · Apr 6, 2023 · PreprintCancer Biology

Loss of Spindly sensitizes EML4-ALK v3 lung cancer cells to HSP90 inhibitors

M. P. Licciardello, C. Zhang, A. T. Le, R. C. Doebele, P. A. Clarke, P. Workman

The paper shows that loss of Spindly increases sensitivity of EML4-ALK v3 NSCLC cells to HSP90 inhibitors, but not v1 cells.

bioRxiv · Jun 8, 2022 · PreprintCancer Biology

Heterogeneity and targeted therapy-induced adaptations in lung cancer revealed by longitudinal single-cell RNA sequencing

A. Maynard, C. E. McCoach, J. K. Rotow, L. Harris, F. Haderk, L. D. Kerr, E. A. Yu, E. L. Schenk, W. Tan, A. Zee, M. Tan, P. Gui, T. Lea, W. Wu, A. Urisman, , T. G. Bivona

This study uses longitudinal single-cell RNA sequencing to reveal therapy-induced adaptations in lung cancer, identifying cell state transitions and pathways associated with treatment response and resistance.

bioRxiv · Dec 8, 2019 · PreprintCancer Biology