Biology subjects

Seiler, J. L.

Publications and source records attributed to Seiler, J. L..

4 recordsLinked to original sources

bioRxiv2026

Dopamine dips during unrewarded actions promote punishment-resistant reward seeking

Punishment-resistant reward-seeking, a hallmark of addiction, is less prominent in females than males. We found that chronic estradiol manipulations increased punishment resistance in female mice without increasing dopamine peaks on rewarded actions as expected, instead exaggerating dopamine dips on unrewarded actions; optogenetically mimicking these dips accelerated punishment resistance in females and males. These results suggest dopamine dips suppress learning from unrewarded actions, consistent with policy-based accounts of dopamine function.

neuroscience↗

bioRxiv2025

Dual Activation of MC3R and MC4R Drives Weight Loss and Reduces Food Intake in Obese Primates

Introductory ParagraphThe melanocortin system plays a central role in regulating hunger and satiety, making it an attractive target for treating metabolic disease. However, the limited clinical success of selective melanocortin-4 receptor (MC4R) agonists prompted the investigation of whether concurrent melanocortin-3 receptor (MC3R) and MC4R activation is key to unlocking the melanocortin system for the treatment of general obesity. To test this hypothesis, we designed and synthesized novel peptides to probe the distinct and combined roles of MC3R and MC4R in nonhuman primates (NHPs). We show that selectively agonizing MC3R modulates food intake in a state-dependent manner. Moreover, co-agonism of MC3R and MC4R results in more substantial metabolic effects than selective MC4R agonism, highlighting both a non-redundant and a cooperative role of MC3R. To leverage these discoveries, we developed 710GO, an orally-available MC3R/MC4R dual agonist peptide that induces significant weight loss in diet-induced obese (DIO) NHPs. Oral 710GO treatment demonstrates limited weight rebound, has additive effects in combination with GLP-1s, and exhibits a clean safety profile. These results reestablish the melanocortin system, specifically concerted MC3R/MC4R agonism, as a viable mechanism for next-generation obesity therapeutics.

neuroscience↗

bioRxiv2021

GuPPy, a Python toolbox for the analysis of fiber photometry data

Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. It has become a popular tool in neuroscience due to its ease of use, low cost, the ability to combine FP with freely moving behavior, among other advantages. However, analysis of FP data can be a challenge for new users, especially those with a limited programming background. Here, we present Guided Photometry Analysis in Python (GuPPy), a free and open-source FP analysis tool. GuPPy is provided as a Jupyter notebook, a well-commented interactive development environment (IDE) designed to operate across platforms. GuPPy presents the user with a set of graphic user interfaces (GUIs) to load data and provide input parameters. Graphs produced by GuPPy can be exported into various image formats for integration into scientific figures. As an open-source tool, GuPPy can be modified by users with knowledge of Python to fit their specific needs.

neuroscience↗

bioRxiv2020

Dopamine Signaling in the Dorsomedial Striatum Promotes Compulsive Behavior

Compulsive behavior is a defining feature of disorders such as substance use disorder and obsessive-compulsive disorder. Current evidence suggests that corticostriatal circuits control the expression of established compulsions, but little is known about the mechanisms regulating the development of compulsions. We hypothesized that dopamine, a critical modulator of striatal synaptic plasticity, could control alterations in corticostriatal circuits leading to the development of compulsions (defined as continued reward-seeking in the face of punishment). We used dual-site fiber photometry to measure dopamine axon activity in the dorsomedial striatum (DMS) and the dorsolateral striatum (DLS) as compulsions emerged. Individual variability in the speed with which compulsions emerged was predicted by DMS dopamine axon activity. Amplifying this dopamine signal accelerated animals transitions to compulsion, whereas inhibition led to learning delays. In contrast, amplifying DLS dopamine signaling had no effect on the emergence of compulsions. These results establish DMS dopamine signaling as a key controller of the development of compulsive reward-seeking.

neuroscience↗