Author

Morteza Khabiri

University of MichiganORCID 0000-0003-3292-0111Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:Drosophila· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Peter L. FreddolinoiD· 2 shared Anoumid VaziriiD· 1 shared Brendan T. GenawiD· 1 shared Christina E. MayiD· 1 shared Monica DusiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersNeuroscience

Peter L. FreddolinoORCID

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2 papers

Recent·Most cited

NeuroscienceScience AdvancesPeer-reviewedNov 11, 2020

Persistent Epigenetic Reprogramming of Sweet Tase by Diet

Anoumid Vaziri, Morteza Khabiri, Brendan T. Genaw…·Monica Dus

This study shows that a high sugar diet reprograms the epigenetic state of sweet taste neurons in Drosophila, reducing sweet sensation and promoting obesity, with some changes persisting after diet normalization.

47 citations

DrosophilaChIP-seq

𝕏 PostBluesky

Systems BiologybioRxivPreprintJan 11, 2019

Genome-wide Prediction of Potential Polycomb Response Elements and their Functions

Morteza Khabiri, Peter L. Freddolino

The paper develops a machine learning framework to predict Polycomb Response Elements (PREs) in Drosophila melanogaster genome, identifying 7887 potential PREs and suggesting new TFs involved in PcG/TrxG recruitment.

1 citation

DrosophilaDNA methylation

𝕏 PostBluesky