Analyzed sessions data structure for all data collected. Data structures include multidimensional behavioral data extracted from video and external sensors as well as simultaneous photometry recordings from multiple locations in the mouse brain. All datasets are aligned to include the first ~1000 trials of learning for >20 animals. A subset of animals received optogenetic perturbations during learning as described in the paper / methods.

This dataset was curated from the ChEMBL database and further enriched with RDKit-calculated molecular properties. It serves as a valuable resource for cheminformatics and machine learning tasks, particularly in drug-target interaction studies.

The dataset comprises around 3000 instances, each representing a unique molecule and its interaction with dopamine receptors. The key features include:

• ChEMBL ID and SMILES: Molecular identifiers and structure information.
• Experimental Data: EC50 values (nM), pEC50 values (log-transformed potency measure).
• Assay Type and Target Name: Experimental context and receptor subtype targeted - D1, D2, D3, D4 and D5.
• Molecular Descriptors:
• MW: Molecular Weight of the molecule in Da.
• LogP (Lipophilicity): Indicating hydrophobicity.
• H_Donors and H_Acceptors: Indicators of hydrogen bonding capacity.
• TPSA (Topological Polar Surface Area): Important for bioavailability.
• Ring_Count and Rotatable_Bonds: Measures of molecular complexity.

Relating genetic variations in dopamine brain transmission to task performance with and without rewards

https://doi.org/10.5061/dryad.qnk98sfs5

Description of the data and file structure

Title: Relating genetic variations in dopamine brain transmission to task performance with and without rewards

Contact: Diane Damiano, National Institutes of Health, damianod@cc.nih.gov

Date created: 2024/09/17

Licenses or restrictions: none

Methods for data collection: a specialized computer program that provided instruction to participants, administered all items and recorded reaction time, error rate for SRTT and proportion correct and reaction time for WPT.

Files and variables

File: DOPAMINEALLDATAWORKSHEET.xlsx

Description: Excel file includes participant group, age group at enrollment (1 = 6-10, 2 = 11-15, 3 = 16-20, 4 = 21-25), sex, gene group, individual gene variant scores (COMT = catechol-O -...

Brain dopamine is critically involved in movement control, and its deficiency is the primary cause of motor symptoms in Parkinson disease. Here we report development of an animal model of acute severe dopamine deficiency by using mice lacking the dopamine transporter. In the absence of transporter-mediated recycling mechanisms, dopamine levels become entirely dependent on de novo synthesis. Acute pharmacological inhibition of dopamine synthesis in these mice induces transient elimination of striatal dopamine accompanied by the development of a striking behavioral phenotype manifested as severe akinesia, rigidity, tremor, and ptosis. This phenotype can be reversed by administration of the dopamine precursor, L-DOPA, or by nonselective dopamine agonists. Surprisingly, several amphetamine derivatives were also effective in reversing these behavioral abnormalities in a dopamine-independent manner. Identification of dopamine transporter- and dopamine-independent locomotor actions of amphetamines suggests a novel paradigm in the search for prospective anti-Parkinsonian drugs.

SPM{T_[31.0]} - contrast 1: Female > Male

Collection description

We tested using T-tests in SPM8 for a differences in d-amphetamine-induced dopamine release (indexed as % change in 18F-Fallypride binding potential, %ΔBPND, relative to placebo) by participant sex in two independent datasets. We found no significant clusters where males or females differed in %ΔBPND.

Subject species

homo sapiens

Modality

PET other

Cognitive paradigm (task)

None / Other

Map type

T

Dopaminergic neurotransmission has been investigated extensively, yet direct optical probing of dopamine has not been possible in live cells. Here we image intracellular dopamine with sub-micrometer three-dimensional resolution by harnessing its intrinsic mid-ultraviolet (UV) autofluorescence. Two-photon excitation with visible light (540 nm) in conjunction with a non-epifluorescent detection scheme is used to circumvent the UV toxicity and the UV transmission problems. The method is established by imaging dopamine in a dopaminergic cell line and in control cells (glia), and is validated by mass spectrometry. We further show that individual dopamine vesicles/vesicular clusters can be imaged in cultured rat brain slices, thereby providing a direct visualization of the intracellular events preceding dopamine release induced by depolarization or amphetamine exposure. Our technique opens up a previously inaccessible mid-ultraviolet spectral regime (excitation ~270 nm, emission < 320 nm) for label-free imaging of native molecules in live tissue.

These data are used and described in the following paper: Jang H.J., Ward R.M., Golden C.E.M., Constantinople C.M. (2025). Acetylcholine demixes heterogeneous dopamine signals for learning and moving. Nature Neuroscience.

The data set comprises:

1) Photometry recordings from the dorsolateral striatum in rats using dual-color imaging (*DLS.mat)

2) Associated behavioral data (*bstruct.mat)

Make a folder named PhotometryData/GRAB_rDAgACh_DLS and save the files under this folder in order to use visualization scripts provided in the github link below.

Raw photometry signals are motion-corrected and pooled across sessions for each rat.

Files are Matlab data (.mat) files. The code to analyze this data and generate figures in Jang et al., 2025 is available at {https://github.com/constantinoplelab/published/tree/main/DMS_AChDA}. Data was analyzed using Matlab 2021b.

Dopamine in the striatum strongly regulates behavioral output in a heterogenous across the various striatal subregions. Moreover, dopamine dynamics not only displays heterogeneity across brain structures but also within males and females. The purpose of this dataset was to evaluate the dopamine dynamics in male and female mice and rats across five subregions: the dorsolateral caudate, ventromedial caudate, nucleus accumbens core, nucleus accumbens lateral shell, and the nucleus accumbens medial shell. Fast scan cyclic voltammetry (FSCV) was employed to measure dopamine release and uptake following a single pulse electrical stimulation in each of these subregions within a single brain slice. The dopamine dynamics were also observed across a variety of stimulation amplitudes. The goal of this dataset was to produce systematic FSCV measurements of dopamine across the rodent striatum using FSCV which would be available as a resource for further investigation of DA terminal function., Detailed methods can be found in the manuscript., , # Comparison of dopamine release and uptake parameters across sex, species and striatal subregions

https://doi.org/10.5061/dryad.sf7m0cgcn

Description of the data and file structure

This data set includes 12 mice (6 male, 6 female) and 12 rats (6 male, 6 female). One rostral (mouse: 1.33-1.09 AP; rat: 2.20-1.60 AP) and one caudal (mouse: 0.97-0.73 AP, rat: 1.20-0.70 AP) brain slice from each animal hemisected so that a total of 4 data points were collected per animal. All slices were run in parallel, and an additional slice was collected from each animal to serve as a control for slice health and electrode stability throughout the recording period. Data identifiers have been designated as follows: Species (Ms= mouse or Rt=rat), Sex (M=male; F=female), animal number, slice identity (r=rostral, c=caudal), slice number. Example: MsM1_r1 would be mouse, male 1, rostral slice 1.Â

The study was designed to maximize the data collected, allowing...

This dataset contains quantitative data describing the numbers, densities, and sizes of D1- and D2-receptor positive neurons across the mouse forebrain, acquired by analysing section images from the DOPAMAP collection. Image series from a total of 111 subjects across the five age groups (P17, P25, P35, P49, and P70) were analyzed. We used ilastik to segment cells in the images and combined the resulting segmentation images with reference atlas maps generated using QuickNII and VisuAlign. In this dataset, we provide the segmentation images and reference atlas maps used, as well as the raw output from the analysis and estimates of densities, numbers, and sizes derived from the analysis. We also provide the ilastik classifier used, which may be useful for analysing similar (DAB-stained) data. Together, this dataset provides all the data needed to inspect and explore our data, reproduce our analysis, or re-use the segmentation images with new atlas maps (e.g. with future versions of the Allen mouse brain CCF).

Four groups of this dataset were used as negative samples for testing subtype selectivity of our developed multi-label machine learning models.

The neurotransmitter dopamine has been shown to play an important role in modulating behavioural, morphological and life-history responses to food abundance. However, costs of expressing high dopamine levels remain poorly studied and are essential for understanding the evolution of the dopamine system. Negative maternal effects on offspring size from enhanced maternal dopamine levels have previously been documented in Daphnia. Here, we tested whether this translates into fitness costs in terms of lower starvation resistance in offspring. We exposed Daphnia magna mothers to aqueous dopamine (2.3 mg/L or 0 mg/L for the control) at two food levels (ad libitum versus 30% ad libitum) and recorded a range of maternal life history traits. The longevity of their offspring was then quantified in the absence of food. In both control and dopamine treatments, mothers that experienced restricted food ration had lower somatic growth rates and higher age at maturation. Maternal food restriction also resulted in production of larger offspring that had a superior starvation resistance, compared to ad libitum groups. However, although dopamine exposed mothers produced smaller offspring than controls at restricted food ration, these smaller offspring survived longer under starvation. Hence, maternal dopamine exposure provided an improved offspring starvation resistance.

Food and water are rewarding in part because they satisfy our internal needs. Dopaminergic neurons in the ventral tegmental area (VTA) are activated by gustatory rewards, but how animals learn to associate these oral cues with the delayed physiological effects of ingestion is unknown. Here, we show that individual dopaminergic neurons in the VTA respond to the detection of nutrients or water at specific stages of ingestion. A major subset of dopaminergic neurons tracks changes in systemic hydration that occur tens of minutes after thirsty mice drink water, whereas different dopaminergic neurons respond to nutrients in the gastrointestinal tract. We show that information about fluid balance is transmitted to the VTA by a hypothalamic pathway and then rerouted to downstream circuits that track the oral, gastrointestinal, and post-absorptive stages of ingestion. To investigate the function of these signals, we used a paradigm in which a fluid’s oral and post-absorptive effects can be ..., , # Data from: Dopamine subsystems that track internal states

Dataset DOI: 10.5061/dryad.zgmsbccsf

Description of the data and file structure

This dataset contains data from the published paper titled "Dopamine subsystems that track internal states" published by Grove et al., in Nature, 2022. This article can be accessed here: https://www.nature.com/articles/s41586-022-04954-0. We have submitted the raw data for this manuscript, with each file containing the data necessary to replicate the graphs in each main figure. Each sheet contains data separated by subfigure, and, where relevant, by graphs within that subfigure. The top row of each sheet contains additional information about the data structure.

This dataset contains the data underlying the main figures presented in Grove et al., 2022. Data are provided as Microsoft Excel (.xlsx) files, where each file corresponds to a primary figu...,

Dopaminergic neurons of the substantia nigra exist in a persistent state of vulnerability resulting from high baseline oxidative stress, high energy demand, and broad unmyelinated axonal arborizations. Impairments in the storage of dopamine compound this stress due to cytosolic reactions that transform the vital neurotransmitter into an endogenous neurotoxicant, and this toxicity is thought to contribute to the dopamine neuron degeneration that occurs Parkinson’s disease. We have previously identified synaptic vesicle glycoprotein 2C (SV2C) as a modifier of vesicular dopamine function, demonstrating that genetic ablation of SV2C in mice results in decreased dopamine content and evoked dopamine release in the striatum. Here, we adapted a previously published in vitro assay utilizing false fluorescent neurotransmitter 206 (FFN206) to visualize how SV2C regulates vesicular dopamine dynamics and identified that SV2C promotes the uptake and retention of FFN206 within vesicles. In addition, w..., , , # Synaptic vesicle glycoprotein 2C enhances vesicular storage of dopamine and counters dopaminergic toxicity

This dataset contains the raw data corresponding to the manuscript Synaptic vesicle glycoprotein 2C enhances vesicular storage of dopamine and counters dopaminergic toxicity. Inclusive in this dataset is the following: 1) a GraphPad Prism file containing all of the data found in the manuscript with statistical analysis and graphs; 2) individual .csv files containing the data for each graph of data found in the manuscript including a separate .csv for corresponding statistics (files ending in _stats); 3) individual PDFs of graphs generated in GraphPad Prism; and 4) raw image files for microscopy and Western blots. These data demonstrate the principal findings for the manuscript that the protein SV2C: 1) enhances vesicular storage of dopamine and dopamine analogues (e.g., FFN206 and MPP+), and 2) confers neuroprotection against dopaminergic toxicity.

Description of the d...

Motor deficits observed in Parkinson’s disease (PD) are caused by the loss of dopaminergic neurons and the subsequent dopamine depletion in different brain areas. The most common therapy to treat motor symptoms for patients with this disorder is the systemic intake of L-DOPA that increases dopamine levels in all the brain, making it difficult to discern the main locus of dopaminergic action in the alleviation of motor control. Caged compounds are molecules with the ability to release neuromodulators locally in temporary controlled conditions using light. In the present study, we measured the turning behavior of unilateral dopamine-depleted mice before and after dopamine uncaging. The optical delivery of dopamine in the striatum of lesioned mice produced contralateral turning behavior that resembled, to a lesser extent, the contralateral turning behavior evoked by a systemic injection of apomorphine. Contralateral turning behavior induced by dopamine uncaging was temporarily tied to the transient elevation of dopamine concentration and was reversed when dopamine decreased to pathological levels. Remarkably, contralateral turning behavior was tuned by changing the power and frequency of light stimulation, opening the possibility to modulate dopamine fluctuations using different light stimulation protocols. Moreover, striatal dopamine uncaging recapitulated the motor effects of a low concentration of systemic L-DOPA, but with better temporal control of dopamine levels. Finally, dopamine uncaging reduced the pathological synchronization of striatal neuronal ensembles that characterize unilateral dopamine-depleted mice. We conclude that optical delivery of dopamine in the striatum resembles the motor effects induced by systemic injection of dopaminergic agonists in unilateral dopamine-depleted mice. Future experiments using this approach could help to elucidate the role of dopamine in different brain nuclei in normal and pathological conditions.

These data are used and described in the following paper: Jang H.J., Ward R.M., Golden C.E.M., Constantinople C.M. (2025). Acetylcholine demixes heterogeneous dopamine signals for learning and moving. Nature Neuroscience.

The data set comprises:

1) Photometry recordings from the nucleus accumbens core in rats.

Make a folder named data-published/PhotometryData/GRAB_DA_NAcc and save the files under this folder in order to use visualization scripts provided in the github link below.

Raw photometry signals are motion-corrected and pooled across sessions for each rat. Associated behavioral data for each rat are stored in *_bstruct.mat files.

Files are Matlab data (.mat) files. The code to analyze this data and generate figures in Jang et al., 2025 is available at {https://github.com/constantinoplelab/published/tree/main/DMS_AChDA}. Data was analyzed using Matlab 2021b.

Chemical compound data from PubChem database. IUPAC Name: [4-(2-acetamidoethyl)-2-(2,2,2-trifluoroacetyl)oxyphenyl] 2,2,2-trifluoroacetate. Molecular Formula: C14H11F6NO5. Molecular Weight: 387.23. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.

This dataset is used by the research Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease, it contains the human digital gene expression matrix and the macaque slide seqv2 dataset publish by the authors. - The data for Cross Species analysis are not included.

You can check the result produced by research:

1. Single Cell Analysis
2. Slide Seq

Datafile for: "Dopamine and the creative mind: Individual differences in creativity are predicted by interactions between dopamine genes DAT and COMT."

Learning causal relationships relies on understanding how often one event precedes another. To gain an understanding of how dopamine neuron activity and neurotransmitter release change when a retrospective relationship is degraded for a specific pair of events, we used outcome-selective Pavlovian contingency degradation in rats. Two cues were paired with distinct food rewards, one of which was also delivered in the absence of either cue. Conditioned responding was attenuated for the cue-reward contingency that was degraded. Dopamine neuron activity in the midbrain and dopamine release in the ventral striatum in response to the cue and subsequent reward were attenuated during degraded versus non-degraded trials, and contingency degradation also abolished the trial-by-trial history dependence of dopamine responses at the time of trial outcome. This profile of changes in cue- and reward-evoked responding is not easily explained by a standard reinforcement learning model. An alternative mod..., , , # Mesostriatal dopamine is sensitive to changes in specific cue-reward contingencies

https://doi.org/10.5061/dryad.q573n5tr1

This dataset includes two types of behavioral data. First, there are conditioned port entry rates from five separate cohorts of rats: those that underwent fiber photometry recordings using GCaMP6f in ventral tegmental area (VTA) dopamine neurons, those that underwent fiber photometry recordings using dLight1.2 in the nucleus accumbens (NAc) core, those that underwent a context manipulation, those that underwent optogenetic inhibition of VTA dopamine neurons, and those that underwent optogenetic inhibition of dopamine release. Second, there are behavioral measures derived from videos: conditioned head velocities and distances between head and mid-tail derived from DeepLabCut, and conditioned rates of rearing and rotating derived from video hand-scoring.

This dataset also includes fiber photometry data taken from rats th...

Biological Magnetic Resonance Bank Entry bmse000933: Dopamine