# Novel tool development for quantitative PharmacoSTORM super-resolution imaging of the nanoscale distribution of D3 dopamine receptors

> **NIH NIH R21** · TRUSTEES OF INDIANA UNIVERSITY · 2022 · $227,125

## Abstract

Abstract
Substance use disorders affect ~20 million American adults according to the National Survey on Drug Use and
Health. About 8.5 million patients also suffer from a comorbid mental health disorder such as depression, anxiety,
and schizophrenia. Moreover, the prevalence of illicit substance use, the misuse of legal substances, and other
mental health illnesses are all rapidly increasing in association with the Covid-19 pandemic. Thus, mechanistic
understanding of the pathological neurobiological processes underlying mental health and substance use
disorders, and their co-morbidity is imperative for the development of more efficient therapies to reduce physical,
emotional, and social harm. It is widely acknowledged that dopaminergic signaling is highly impaired in these
brain disorders. While the dopaminergic system has been intensely investigated in the last decades, it’s
tremendous molecular and cellular complexity represents a major challenge for the detailed understanding of
why certain treatments affecting the dopaminergic system are therapeutically beneficial or cause adverse effects.
For example, pharmacological tools such as partial agonists, positive and negative allosteric modulators, and
antagonists of the D3 dopamine receptor have been proposed by the National Institute of Drug Abuse as highly
promising therapeutic tools for the treatment of substance use disorders. However, our understanding of the
adaptive and maladaptive plasticity mechanisms controlled by D3 dopamine receptors and how this G protein-
coupled receptor is involved in substance use disorders and other psychiatric diseases have remained very
limited. This is an important, because emerging therapeutic trends, for example the expanding use of the FDA-
approved D3 receptor-preferring drug cariprazine (VraylarTM) in the treatment of depression and schizophrenia
and its putative usefulness in the treatment of comorbid substance use disorders illuminates the clinical
significance of D3 receptors. However, the generally very low copy numbers of D3 receptors in neurons and the
current lack of sensitive and specific antibodies to visualize their distribution and reorganization in association
with pathological processes renders studies aiming to better understand the function of D3 dopamine receptors
very difficult. Therefore, the proposed work will deliver novel fluorescent tools that will enable cell-type- and
subcellular compartment-specific quantification of D3 receptor distribution at the nanoscale level in intact brain
circuits affected in substance use disorders. In preliminary studies, we developed the PharmacoSTORM super-
resolution nanoscale pharmacology approach and applied fluorescent cariprazine to discover high cariprazine
binding density in the Islands of Calleja. In the proposed R21 CEBRA, we will complete two specific aims:
Aim 1. Develop photoaffinity-based fluorescent chemical probes for high-yield PharmacoSTORM super-
resolution imaging of D3 dopamine re...

## Key facts

- **NIH application ID:** 10510936
- **Project number:** 1R21DA056825-01
- **Recipient organization:** TRUSTEES OF INDIANA UNIVERSITY
- **Principal Investigator:** Istvan Katona
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $227,125
- **Award type:** 1
- **Project period:** 2022-08-01 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10510936

## Citation

> US National Institutes of Health, RePORTER application 10510936, Novel tool development for quantitative PharmacoSTORM super-resolution imaging of the nanoscale distribution of D3 dopamine receptors (1R21DA056825-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10510936. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*
