Author

A. Guillaume

Primary ORCID profile (0009-0004-7228-0096 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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A. GuillaumeiD3 papers · Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Biology Disciplines

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Cell Biology· 1 Evolutionary Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Approach:simulation· 1

Frequent Co-Authors

C. Tremblay· 2 shared J. Ghislain· 2 shared M. L. Croze· 2 shared S. A. Campbell· 2 shared V. Poitout· 2 shared E. Rochat· 1 shared E. Vajana· 1 shared G. Fergusson· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersPhysiology

C. Tremblay

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3 papers

Recent·Most cited

Combined deletion of free fatty-acid receptors 1 and 4 minimally impacts glucose homeostasis in mice

M. L. Croze, A. Guillaume, M. Ethier, G. Fergusson, C. Tremblay, S. A. Campbell, H. Maachi, J. Ghislain, V. Poitout

This study shows that deleting both FFAR1 and FFAR4 in mice only slightly affects glucose homeostasis, with minor changes in fasting glucose and glucose tolerance.

bioRxiv · Aug 4, 2020Physiology

Free-fatty acid receptor 4 inhibitory signaling in delta cells regulates islet hormone secretion in mice

M. L. Croze, M. Flisher, A. Guillaume, C. Tremblay, G. M. Noguchi, S. Granziera, K. Vivot, V. C. Castillo, S. A. Campbell, J. Ghislain, M. O. Huising, V. Poitout

This study shows that GPR120 activation in delta cells inhibits somatostatin release, thereby enhancing insulin and glucagon secretion in mice.

bioRxiv · Jul 17, 2020Cell Biology

Sampling strategy optimization to increase statistical power in landscape genomics: a simulation-based approach

O. Selmoni, E. Vajana, A. Guillaume, E. Rochat, S. Joost

This study optimizes sampling strategies for landscape genomics by simulating datasets under different scenarios to improve statistical power and reduce false discoveries.

bioRxiv · Aug 5, 2019Evolutionary Biology