Author

John Hainline

Indiana University Bloomington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Andrea G. HohmanniD· 2 shared Ken MackieiD· 2 shared Taylor J. WoodwardiD· 2 shared Ada Port· 1 shared Alexandros MakriyannisiD· 1 shared Amanda Essex· 1 shared Ananya Balaji· 1 shared Anna KalinovskyiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersNeuroscience

Andrea G. HohmannORCID

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3 papers

Recent·Most cited

Acetaminophen alters endogenous lipid signaling and attenuates pathological pain through a mechanism requiring diacylglycerol lipase, monoacylglycerol lipase and cannabinoid CB1 receptors in mice

Carlos Henrique Alves Jesus, Jonah L. Wirt, Taylor J. Woodward, Luana Assis Ferreira, Wenwen Du, John Hainline, Mirjam C. W. Huizenga, Lara Rems, Alexandros Makriyannis, Jenna A. Himelstein, Noah M. Brauer, Mario van der Stelt, Heather B. Bradshaw, Andrea G. Hohmann

This study shows acetaminophen reduces pain by altering lipid signaling via cannabinoid receptors and enzymes in mice.

Neuropharmacology · Sep 7, 2026Peer-reviewedNeuroscience

Mice lacking the endocannabinoid-synthesizing enzyme NAPE-PLD exhibit sex-dependent dysregulations in responsiveness to oxycodone and a natural reward

Taylor J. Woodward, Emily Fender Sizemore, Ananya Balaji, Ada Port, John Hainline, Hasaan A Kazi, Serge H. Luquet, Ken Mackie, Andrea G. Hohmann

This study investigates the role of NAPE-PLD in opioid responsiveness and finds sex-dependent differences in oxycodone and sucrose consumption in knockout mice.

Neuropharmacology · Nov 1, 2025Peer-reviewedNeuroscience

Deep learning and cross-species analysis identify the influences of sex and cannabinoidsignaling on cerebellar vermis morphology

Kylie Black, O.P. Pandey, Brent Caleb McPherson, John Hainline, Shawyon Baygani, Brynna Webb, Tristen Jay Mier, Amanda Essex, Ken Mackie, Franco Pestilli, Anna Kalinovsky

The paper uses deep learning to analyze cerebellar morphology across species, finding sex and cannabinoid signaling influence folding patterns.

bioRxiv · Jul 3, 2021 · PreprintNeuroscience