Author

C. Mitchell

University of Michigan

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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Biophysics· 1 Cancer Biology· 1 Cell Biology· 1 Evolutionary Biology· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Organism:human· 4 Research Focus:cell signaling & trafficking· 3 Research Focus:cell type annotation· 3 Approach:statistical model· 3 Research Focus:development & morphogenesis· 2 Assay:imaging· 2 Assay:metagenomics· 2

Frequent Co-Authors

A. Bergerat· 1 shared A. Cher· 1 shared A. Dufour· 1 shared A. Gonzalez· 1 shared A. K. Madugundu· 1 shared A. M. Bryant· 1 shared A. Pandey· 1 shared A. Patil· 1 shared

Activity by Year

2019-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 5 mutual co-author links

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1 shared paperMicrobiology

A. Bergerat

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Developmental Correlates of Epigenetic and Polygenic Indices of Cognition and Educational Attainment from Birth to Young Adulthood

Deniz Fraemke, Lena Paulus, Isabel K. Schuurmans, J. Walter, Darina Czamara, Alicia M. Schowe, Abby J. deSteiguer, Peter T. Tanksley, Aysu Okbay, Bastian Mönkediek, Jana Instinske, M. M. Nöthen, Charlotte K. L. Disselkamp, Andreas J. Forstner, E. Binder, , L. Raffington

The paper examines developmental correlates of epigenetic and polygenic indices of cognition and education from birth to young adulthood, finding Epigenetic-g is plastic in early childhood and captures distinct variation from polygenic indices.

bioRxiv · Apr 3, 2026 · PreprintGenomics

Deterministic Early Endosomal Maturations Emerge From a Stochastic Trigger-and-Convert Mechanism

H. M. York, K. Joshi, C. S. Wright, L. Z. Kreplin, S. Rodgers, U. K. Moorthi, H. Gandhi, A. Patil, C. Mitchell, S. Iyer-Biswas, S. Arumugam

The paper tracks endosomal maturation events using advanced imaging and simulations, revealing that maturation is driven by heterotypic EEA1-mediated interactions rather than autonomous stochastic processes.

bioRxiv · Apr 15, 2022Biophysics

The price of defence: toxins, visual signals and oxidative state in an aposematic butterfly

J. D. Blount, H. M. Rowland, C. Mitchell, M. P. Speed, G. D. Ruxton, J. A. Endler, L. P. Brower

The study examines the relationship between toxin sequestration, oxidative damage, and conspicuousness in male monarch butterflies, finding that oxidative state influences the cost of aposematic signaling.

bioRxiv · Dec 8, 2021Evolutionary Biology

Safety and efficacy of a new vaginal gel, Feminilove, for the treatment of symptoms associated with vaginal dryness and vulvovaginal atrophy in women: an in vitro and in vivo study

A. Gonzalez, R. Lee, L. Booshehri, D. Grady, V. Vaddi, C. Ip, C. Mitchell, W. W. Cheung

bioRxiv · Aug 17, 2021 · PreprintPharmacology & Toxicology

Proximity-dependent biotinylation to elucidate the interactome of TNK2 non-receptor tyrosine kinase

R. Tahir, A. K. Madugundu, S. Udainiya, J. A. Cutler, S. Renuse, L. Wang, N. A. Pearson, C. Mitchell, N. Mahajan, A. Pandey, X. Wu

This study uses BioID and BioSITe to map TNK2's interactome, identifying known and novel binding partners and validating one with immunoblot.

bioRxiv · Jun 30, 2021Cancer Biology

Delivery mode impacts newborn gut colonization efficiency

C. Mitchell, L. Hogstrom, A. M. Bryant, A. Bergerat, A. Cher, S. Pochan, P. Herman, M. Carrigan, K. Sharp, C. Huttenhower, E. S. Lander, H. Vlamakis, R. J. Xavier, M. Yassour

This study investigates how delivery mode affects newborn gut microbiome colonization, finding that C-section infants lack Bacteroides species, but these are not due to birth canal exposure.

bioRxiv · Jan 29, 2020 · PreprintMicrobiology

Cell Tracking Profiler: a user-driven analysis framework for evaluating 4D live cell imaging data

C. Mitchell, L. Caroff, A. Vigilante, J. A. Solis-Lemus, C. C. Reyes-Aldasoro, F. de Chaumont, A. Dufour, S. Dallongeville, J.-C. Olivo-Marin, R. D. Knight

The paper introduces Cell Tracking Profiler, a framework for analyzing 4D live cell imaging data, and demonstrates its use in studying muscle stem cell behavior during regeneration in zebrafish.

bioRxiv · Nov 28, 2019Cell Biology