Author

M. Vermulst

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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Evolutionary Biology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Assay:proteomics· 2 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

R. Higuchi-Sanabria· 2 shared A. Alcala· 1 shared A. Christensen· 1 shared A. Haghani· 1 shared A. Hiniker· 1 shared A. Hruby· 1 shared B. Li· 1 shared C. Finch· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersEvolutionary Biology

R. Higuchi-Sanabria

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Author profile →

3 papers

Recent·Most cited

ApoE isoforms establish distinct antioxidant trajectories across the aging brain

S. J. Shemtov, M. Cacciottolo, A. Christensen, B. Li, A. Haghani, M. C. Rice, H. Anson, C. S. Chung, W. Cohn, H. Zhang, W. J. Mack, A. Hiniker, C. Lee, T. E. Morgan, E. Head, , Max A. Thorwald

This study shows ApoE isoforms influence antioxidant pathways differently across aging, with ApoE4 showing stronger transcriptional responses but less effective protein production, linking to neurodegenerative risk.

bioRxiv · Nov 9, 2026 · PreprintEvolutionary Biology

Investigating impacts of marine sponge derived mycothiazole and its acetylated derivative on mitochondrial function and aging.

N. Dutta, J. A. Gerke, S. F. Ordon, J. D. Morris, A. Hruby, T. C. Torres, S. Shemtov, J. G. Clark, M. C. Chang, H. Shaghasi, M. N. Ray, M. Averbukh, S. Hoang, M. Oorloff, A. Alcala, , R. Higuchi-Sanabria

This study investigates the effects of marine sponge-derived mycothiazole and its acetylated derivative on mitochondrial function and aging using in vitro and in vivo models.

bioRxiv · Nov 27, 2023Cell Biology

A Narrow Range of Transcript-error Rates Across the Tree of Life

W. Li, S. Baehr, M. Marasco, L. Reyes, D. Brister, C. Pikaard, J.-F. Gout, M. Vermulst, M. Lynch

The paper analyzes transcript-error rates across diverse species, finding a narrow range and suggesting mechanisms for error purging, but the model explains only 20% of the variation.

bioRxiv · May 2, 2023Evolutionary Biology