Author

Celeste M. Sandoval

Calico Life SciencesORCID 0009-0002-4520-2880Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Bryson D. BennettiD· 3 shared Aleksandr GauniD· 2 shared Fiona Elizabeth McAllisteriD· 2 shared Phillip SeitzeriD· 2 shared Adam Baker· 1 shared Alisha G. LewisiD· 1 shared Alison Luciano· 1 shared Andrea Di Francisco· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersSystems Biology

Bryson D. BennettORCID

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Author profile →

3 papers

Recent·Most cited

A multiomic lifespan signature in genetically diverse, diet-restricted mice

Johanna Y. Fleischman, Celeste M. Sandoval, Ngoc Vu, Martin N. Mullis, Phillip Seitzer, Leanne JG Chan, Niclas Olsson, Thao Nguyen, Aleksandr Gaun, Alison Luciano, Jonathan O'Brien, Jenny Vu, Laura L. Robinson, Andrea Di Francisco, Wenzhou Li, , Bryson D. Bennett

This study identifies molecular changes in diet-restricted mice that correlate with lifespan and aging, highlighting key genes and pathways involved in longevity.

bioRxiv · Jul 27, 2026 · PreprintSystems Biology

Electron transport chain disruption leads to failure of glucose derepression via the Snf1/AMPK pathway

Alisha G. Lewis, Jeremy R. Smith, Matthew Smardz, Celeste M. Sandoval, Sho W. Suzuki, Bryson D. Bennett, Patrick A. Gibney

This study shows that disrupted electron transport chain function in yeast leads to failure in glucose derepression via the Snf1 pathway, affecting galactose metabolism.

bioRxiv · Nov 6, 2025 · PreprintCell Biology

Precise Estimation of In Vivo Protein Turnover Rates

Jonathon J. O’Brien, Vikram Narayan, Yao Liang Wong, Phillip Seitzer, Celeste M. Sandoval, Nicole Haste, Megan Smith, Ramin Rad, Aleksandr Gaun, Adam Baker, Matthew A. Kukurugya, Baby Martin-McNulty, Chunlian Zhang, Ganesh A. Kolumam, Carmela Sidrauski, , Rochelle Buffenstein

This paper introduces a new framework to estimate in vivo protein turnover rates by addressing labeling identification and amino acid enrichment challenges, revealing differences in protein turnover between mice and naked mole-rats.

bioRxiv · Nov 10, 2020 · PreprintBioinformatics