Author

N. A. Johnson

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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Cancer Biology· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Bleich· 1 shared A. Gariepy· 1 shared A. K. Steensma· 1 shared A. Lopez-Hernandez· 1 shared A. Luckie-Duque· 1 shared A. O. Donayo· 1 shared A. T. Hightower· 1 shared A. Y. Husbands· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPlant Biology

A. Bleich

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Tunable PhenoCycler Imaging of the Murine Pre-Clinical Tumour Microenvironments

M. J. Abraham, C. Goncalves, P. McCallum, V. Gupta, S. E. J. Preston, F. Huang, H. Chou, N. Gagnon, N. A. Johnson, W. H. Miller, K. K. Mann, S. V. del Rincon

This study uses PhenoCycler imaging to analyze the tumor microenvironment in murine cancer models, revealing distinct TME features and cell-cell contact differences across cancer types.

bioRxiv · Sep 18, 2023Cancer Biology

Expression-based machine learning models for predicting plant tissue identity

S. Palande, J. Arsenault, P. Basurto-Lozada, A. Bleich, B. N. I. Brown, S. F. Buysse, N. A. Connors, S. Das Adhikari, K. C. Dobson, F. X. Guerra-Castillo, M. F. Guerrero-Carrillo, S. Harlow, H. Herrera-Orozco, A. T. Hightower, P. Izquierdo, , Krishnan

The paper uses Arabidopsis gene expression data to train machine learning models for predicting tissue identity in other flowering plants, finding that gene expression signatures are more predictive than marker genes.

bioRxiv · Aug 20, 2023Plant Biology

Repression of LKB1 by miR-17~92 sensitizes MYC-dependent lymphoma to biguanide treatment

S. Izreig, A. Gariepy, A. O. Donayo, G. Bridon, D. Avizonis, R. D. Sheldon, R. Laister, M. D. Minden, N. A. Johnson, K. S. Williams, M. S. Rudoltz, T. F. Duchaine, S. Yoo, M. N. Pollak, R. G. Jones

The paper shows that miR-17~92 expression in Myc+ tumors increases sensitivity to biguanide treatment by disrupting bioenergetic stability in lymphoma cells.

bioRxiv · Dec 20, 2019Cancer Biology