Author

Udita Datta

Jackson LaboratoryORCID 0000-0002-1404-7577Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Elissa J. ChesleriD· 3 shared James David JentschiD· 3 shared Leona H. Gagnon· 3 shared Lisa M. TarantinoiD· 3 shared Michael C. SauliD· 3 shared Price E. DicksoniD· 3 shared Troy D. Wilcox· 3 shared Tyler RoyiD· 3 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Elissa J. CheslerORCID

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintJan 2, 2026

A shared genetic regulator of metabolism and addiction-related behavior in mice and humans

Jason A. Bubier, Michael C. Saul, Heidi S. Fisher…·Elissa J. Chesler

This study identifies a shared genetic regulator linking metabolism and addiction-related behavior in mice and humans through a common enhancer regulating Eed/Me3 and EED/ME3.

DOI 10.64898/2025.12.23.696269

mousehuman

𝕏 PostBluesky

GeneticsPsychopharmacologyPeer-reviewedSep 15, 2025

Behavioral variation across multiple phases of intravenous cocaine self-administration among genetically diverse mouse populations

Price E. Dickson, Udita Datta, Troy D. Wilcox…·Elissa J. Chesler

The paper examines behavioral variation in cocaine self-administration across multiple phases in genetically diverse mouse populations, identifying strain and sex differences and extreme strains for drug intake traits.

4 citations

mousestatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintFeb 14, 2020

Consideration of genetic and sex effects in mice enhances consilience with human addiction studies.

Michael C. Saul, Jared Robert Bagley, Lauren S. Bailey…·Elissa J. Chesler

This study shows that including genetic and sex differences in mice improves the alignment of addiction-related traits with human studies.

10 citations

mousebulk RNA-seq

𝕏 PostBluesky