Author

Wipawee Winuthayanon

University of MissouriORCID 0000-0002-5196-8471Unclaimed 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 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Jiude MaoiD· 2 shared Kalli K. StephensiD· 2 shared Akshata HegdeiD· 1 shared Andrew M. KelleheriD· 1 shared Daniel J CarulliiD· 1 shared Erin M. Carulli· 1 shared Frimpong BoaduiD· 1 shared Jason A. RizoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersCell Biology

Jiude MaoORCID

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3 papers

Recent·Most cited

Cell BiologyBiology of ReproductionPeer-reviewedOct 9, 2026

Method for modeling oviduct function and impact on embryonic development

Kalli K. Stephens, Vakil Ahmad, Maria A Silva…·Wipawee Winuthayanon

This paper introduces a method to generate oviductal assembloids from mouse and human tissues to study oviduct function and embryo-maternal interactions in vitro.

DOI 10.1093/biolre/ioag225

mousehuman

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PhysiologybioRxivPreprintOct 29, 2025

Vaginal epithelial estrogen receptor α regulates vaginal pH without detectable changes in glycogen content or microbial diversity in mice

Srinivasan Mahalingam, Erin M. Carulli, Jiude Mao…·Wipawee Winuthayanon

1 citation

mousemetagenomics

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Cell BiologyeLifePeer-reviewedOct 1, 2024

Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos

Ryan M Finnerty, Daniel J Carulli, Akshata Hegde…·Wipawee Winuthayanon

The paper uses multi-omics data and machine learning to analyze oviductal responses to gametes and embryos in mice, identifying region-specific transcriptional and proteomic changes.

18 citationstop 4%

mousebulk RNA-seq

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