Author

N. Bruno

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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Animal Behavior & Cognition· 1 Pharmacology & Toxicology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1

Frequent Co-Authors

G. Hager· 2 shared J. C. Nwachukwu· 2 shared K. W. Nettles· 2 shared S. Srinivasan· 2 shared C. C. Nettles· 1 shared C. Pallavicini· 1 shared D. Kojetin· 1 shared D. Phinney· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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2 shared papersPhysiology

G. Hager

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Author profile →

3 papers

Recent·Most cited

Acute effects of psilocybin on the dynamics of gaze fixations during visual aesthetic perception

S. Muller, F. Cavanna, L. A. de la Fuente, N. Bruno, T. D'Amelio, C. Pallavicini, E. Tagliazucchi

This study examines how psilocybin affects eye movements during aesthetic perception, finding that high doses lead to more localized visual exploration and reduced fixation entropy.

bioRxiv · Oct 27, 2023Animal Behavior & Cognition

Activation of the Crtc2/Creb1 transcriptional network in skeletal muscle enhances weight loss during intermittent fasting

N. Bruno, J. C. Nwachukwu, S. Srinivasan, D. Sturgill, G. Hager, S. Hurst, S.-S. Sheu, M. Conkright, K. W. Nettles

This study shows that Crtc2/Creb1 overexpression in skeletal muscle enhances mitochondrial function and promotes weight loss during intermittent fasting by improving metabolic flux and reversing fasting-induced mitochondrial downregulation.

bioRxiv · Jun 27, 2020 · PreprintPhysiology

Chemical Systems Biology Reveals Mechanisms of Glucocorticoid Receptor Signaling

N. Bruno, J. C. Nwachukwu, S. Srinivasan, C. C. Nettles, T. Izard, z. Jin, S. Boregowda, D. Phinney, O. Elemento, X. Liu, E. A. Ortlund, R. Houtman, D. Stavreva, G. Hager, T. Kamencka, , K. W. Nettles

The paper uses Ligand Class Analysis to identify target genes and coregulator interactions of glucocorticoid receptor ligands, revealing mechanisms linking ligand structure to physiological outcomes.

bioRxiv · Jun 15, 2020Pharmacology & Toxicology