Author

Michael Fadi Saikali

Ontario Institute for Cancer ResearchORCID 0009-0000-2202-911XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Carolyn L. CumminsiD· 2 shared Ahmed M. AmaniD· 1 shared Candice Kwok· 1 shared Fatemeh MolaeiiD· 1 shared Jacqueline Leah BeaudryiD· 1 shared Jin Shi· 1 shared Lilia MagomedovaiD· 1 shared Pierre E. ThibeaultiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPhysiology

Carolyn L. CumminsORCID

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2 papers

Recent·Most cited

PhysiologybioRxivPreprintFeb 5, 2026

Liver-specific loss of the transcriptional coregulator ARGLU1 protects against diet-induced obesity in mice through decreased lipid absorption

Sarah B. Cash, Michael Fadi Saikali, Lilia Magomedova…·Carolyn L. Cummins

This study shows that liver-specific loss of ARGLU1 in mice prevents diet-induced obesity without affecting food intake, locomotion, or energy expenditure, due to reduced lipid absorption and altered bile acid metabolism.

DOI 10.64898/2026.02.03.703579

mousebulk RNA-seq

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BioinformaticsbioRxivPreprintMar 25, 2025

MetaboMiNR: a web application to analyze label free quantitative proteomic experiments with a focus on metabolism and nuclear receptors

Michael Fadi Saikali, Carolyn L. Cummins

MetaboMiNR is a web tool for analyzing label-free proteomic data, focusing on metabolism and nuclear receptors, with features for pathway analysis, gene extraction, and plot generation.

DOI 10.1101/2025.03.25.644590

mouseproteomics

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