Author

J. Modliszewski

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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Immunology· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:metabolomics· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

B. P. Riesenberg· 2 shared J. E. Thaxton· 2 shared J. J. Milner· 2 shared A. Battu· 1 shared A. Hatch· 1 shared A. N. Jambor· 1 shared A. Nixon· 1 shared A. S. Kennedy· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersImmunology

B. P. Riesenberg

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Adaptive IRE1 Signaling Elicits T Cell Metabolic Remodeling and Tumor Control

B. P. Riesenberg, E. J. Gandy, A. S. Kennedy, E. G. Hunt, K. E. Hurst, E. L. Sedlacek, P. Gao, M. J. Emanuele, J. Modliszewski, J. M. Green, J. J. Milner, L. Wiseman, J. E. Thaxton

This study shows that enhancing the adaptive IRE1 UPR pathway in T cells improves tumor control by reducing mitochondrial toxicity and chronic ER stress.

bioRxiv · Nov 16, 2023 · PreprintImmunology

Atlas-Guided Discovery of Transcription Factors for T Cell Programming

H. K. Chung, C. Liu, A. Battu, A. N. Jambor, B. M. Pratt, F. Xie, B. P. Riesenberg, E. Casillas, M. Sun, E. Landoni, Y. Li, Q. Ye, D. Joo, J. Green, Z. Syed, , S. M. Kaech

The paper identifies transcription factors driving distinct CD8+ T cell states and shows their impact on tumor control and immunotherapy.

bioRxiv · Jan 3, 2023Immunology

A Precision Medicine Approach to Stress Testing Using Metabolomics and MicroRibonucleic Acids

A. T. Limkakeng, L.-L. Rowlette, A. Hatch, A. Nixon, O. Ilkayeva, D. Corcoran, J. Modliszewski, S. M. Griffin, G. S. Ginsberg, D. Voora

This paper investigates the use of metabolomics and microRNA analysis in peripheral blood to distinguish patients with abnormal cardiac stress testing from controls, finding modest performance in a small sample.

bioRxiv · Feb 6, 2020Physiology