Author

S. J. Mitchell

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Physiology· 4 Microbiology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 6 Organism:mouse· 5 Approach:experimental assay· 3 Research Focus:development & morphogenesis· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Assay:metagenomics· 2

Frequent Co-Authors

J. R. Mitchell· 4 shared M. R. MacArthur· 4 shared A. E. Kane· 2 shared D. A. Sinclair· 2 shared A Loumé· 1 shared A. A. Teklu· 1 shared A. Longchamp· 1 shared B. Fink· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersPhysiology

J. R. Mitchell

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Long-term fasting remodels gut microbial metabolism and host metabolism

Q. R. Ducarmon, F. Grundler, C. Giannopoulou, A Loumé, N. Karcher, M. Larralde, S. R. Romano, MR MacArthur, S. J. Mitchell, F. Wilhelmi de Toledo, G. Zeller, R. Mesnage

This study shows that long-term fasting changes gut microbial composition and function, as well as the serum metabolome, with significant shifts in microbial species and metabolite levels.

bioRxiv · Apr 19, 2024 · PreprintMicrobiology

Voltage-dependent volume regulation controls epithelial cell extrusion and morphology

S. J. Mitchell, C. Pardo-Pastor, T. A. Zangle, J. Rosenblatt

The paper shows that cell shrinkage via voltage and water regulation determines which epithelial cells are extruded in crowded conditions.

bioRxiv · Mar 13, 2023 · PreprintCell Biology

Cystathionine gamma lyase overexpression enhances neovascularization through NAD-dependent mechanisms

K. Kiesworo, M. R. MacArthur, P. Kip, T. Agius, D. Macabrey, M. Lambelet, L. Hamard, C. K. Ozaki, J. R. Mitchell, S. Deglise, S. J. Mitchell, F. Allagnat, A. Longchamp

This study shows that overexpressing cystathionine gamma lyase (CGL) enhances neovascularization in ischemic muscle through NAD-dependent mechanisms by improving endothelial cell migration.

bioRxiv · Sep 6, 2022 · PreprintPhysiology

Ketones facilitate transcriptional resolution of secondary DNA structures in premature aging

M. A. Petr, L. M. Carmona-Marin, T. Tulika, S. Kristensen, S. Reves, D. Bakula, G. Keijzers, B. Osborne, S. J. Mitchell, S. Hamilton, J. Kato, I. Alfaras, A. A. Teklu, I. Heckenbach, J. Madsen, , M. Scheibye-Knudsen

This study shows that ketones like beta-hydroxybutyrate reduce premature aging features in Cockayne syndrome models by enhancing transcriptional readthrough of DNA secondary structures through histone acetylation.

bioRxiv · Mar 8, 2022 · PreprintPhysiology

Short-term Ketogenic Diet Induces a Molecular Response that is Distinct from Dietary Protein Restriction

K. Kalafut, S. J. Mitchell, M. R. MacArthur, J. R. Mitchell

This study compares the molecular effects of ketogenic diet (KD) and protein restriction (PR) in mice, finding distinct metabolic responses despite both causing weight loss.

bioRxiv · Dec 19, 2021Physiology

Gut Microbiota predicts Healthy Late-life Aging in Male Mice

S. Ke, S. J. Mitchell, M. R. MacArthur, A. E. Kane, D. A. Sinclair, E. M. Venable, K. S. Chadaideh, R. N. Carmody, F. Grodstein, J. R. Mitchell, Y.-Y. Liu

This study shows that gut microbiota signatures from young mice can predict healthy aging in older mice under calorie restriction.

bioRxiv · Jun 22, 2021Microbiology

Age and life expectancy clocks based on machine learning analysis of mouse frailty

M. B. Schultz, A. E. Kane, S. J. Mitchell, M. R. MacArthur, E. Warner, J. R. Mitchell, S. E. Howlett, M. S. Bonkowski, D. A. Sinclair

This paper develops two machine learning clocks to predict chronological age and life expectancy in mice using Frailty Indices, showing their accuracy in predicting lifespan and intervention efficacy.

bioRxiv · Dec 20, 2019Physiology