Author

J. Travers

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

Biology Disciplines

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Biochemistry· 1 Biophysics· 1 Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

C. Klumpp-Thomas· 2 shared A. Andrew· 1 shared A. Bolomsky· 1 shared A. G. Godfrey· 1 shared A. Simeonov· 1 shared A. V. Zakharov· 1 shared A. Yasgar· 1 shared B. Gabrielli· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersCancer Biology

C. Klumpp-Thomas

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Mechanism by which Aurora B inhibitors promotes RB and p53-dependent senescence.

S. Vora, A. Andrew, R. P. Kumar, D. Nazareth, M. Fernando, M. J. Jones, Y. He, J. Hooper, N. A. McMillan, J. Urosevic, J. Saeh, J. Travers, B. Gabrielli

This study investigates how Aurora B inhibitors induce polyploidy and shows that higher ploidy states reduce long-term proliferative potential in cells with functional RB and p53.

bioRxiv · Mar 27, 2024 · PreprintCell Biology

Oncogenic RAS commandeers amino acid sensing machinery to aberrantly activate mTORC1 in multiple myeloma

Y. Yang, T. Oellerich, P. Chen, A. Bolomsky, M. Ceribelli, B. Haupl, G. W. Wright, J. D. Phelan, D. W. Huang, J. W. Lord, C. K. Van Winkle, X. Yu, J. Wisnieski, J. Q. Wang, F. A. Tosto, , R. M. Young

This study identifies how oncogenic RAS activates mTORC1 in multiple myeloma by co-opting amino acid sensing pathways through a novel signaling complex.

bioRxiv · Nov 28, 2021Cancer Biology

Cross-platform Bayesian optimization system for autonomous biological assay development

S. Elder, C. Klumpp-Thomas, A. Yasgar, J. Travers, S. Frebert, K. M. Wilson, A. V. Zakharov, J. L. Dahlin, C. Kreisbeck, D. Sheberla, G. S. Sittampalam, A. G. Godfrey, A. Simeonov, S. Michael

This paper develops a cross-platform Bayesian optimization system to accelerate biological assay development, reducing costs and time compared to brute force methods.

bioRxiv · Jun 23, 2021Biochemistry

Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure

R. F. Laine, G. Goodfellow, L. J. Young, J. Travers, D. Carroll, O. Dibben, H. Bright, C. F. Kaminski

The paper combines structured illumination microscopy with machine learning to analyze and classify virus structures efficiently.

bioRxiv · Jul 11, 2018Biophysics