Author

B. P. Leitner

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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Physiology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Approach:statistical model· 3 Research Focus:metabolism & bioenergetics· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

R. J. Perry· 3 shared W. Zhu· 2 shared Z. Li· 2 shared A. Beisenbayeva· 1 shared D. G. Jovin· 1 shared J. D. Rabinowitz· 1 shared K. B. Givechian· 1 shared K. Politi· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersPhysiology

R. J. Perry

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Author profile →

3 papers

Recent·Most cited

Tissue-Specific and Interorgan Metabolic Reprogramming Maintains Tolerance to Sepsis

B. P. Leitner, W. D. Lee, W. Zhu, X. Zhang, R. C. Gaspar, Z. Li, J. D. Rabinowitz, R. J. Perry

This study identifies tissue-specific metabolic reprogramming in sepsis, showing that mitochondrial adaptations in vital organs, not global dysfunction, underlie sepsis tolerance.

bioRxiv · Oct 8, 2022 · PreprintPhysiology

Gene Expression and Tracer-Based Metabolic Flux Analysis Reveals Tissue-Specific Metabolic Scaling in vitro, ex vivo, and in vivo

N. D. Akingbesote, B. P. Leitner, D. G. Jovin, R. Desrouleaux, W. Zhu, Z. Li, M. N. Pollak, R. J. Perry

The paper uses gene expression and metabolic flux analysis to show that metabolic scaling occurs in multiple pathways across species, not just oxygen consumption.

bioRxiv · Mar 2, 2022Physiology

Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma

B. P. Leitner, S. Ospanova, A. Beisenbayeva, K. B. Givechian, K. Politi, R. J. Perry

This study compares immunometabolic features of lung adenocarcinoma and squamous cell carcinoma using multimodal data, finding distinct metabolic and immune patterns between the two tumor types.

bioRxiv · May 9, 2021Cancer Biology