Media Releases

Back
Monday, 03 Nov, 2025

Scientists build detailed map of the developing human brain, opening new pathways for Parkinson’s treatment

  • Duke-NUS scientists have built one of the largest and most comprehensive maps of the developing human brain
  • Offers unprecedented precision in profiling cell characteristics and cultivation methods
  • Marks a major step forward in testing new therapies for Parkinson’s disease and other neurological conditions

 

SINGAPORE, 03 NOVEMBER 2025—Scientists from Duke-NUS Medical School and their collaborators have created one of the most comprehensive single cell maps of the developing human brain. The atlas captures nearly every cell type, their genetic fingerprints, and how they grow and interact. It also benchmarks best-in-class laboratory methods for producing high-quality neurons, marking a major step towards new therapies for Parkinson’s disease and other brain disorders.

(From left to right) Research Assistant Xu Li Sheng, Dr John Ouyang, Assistant Professor Alfred Sun and Dr Hilary Toh benchmarking midbrain differentiation protocols using BrainSTEM (Image credit Duke-NUS Medical School

(From left to right) Research Assistant Xu Li Sheng, Dr John Ouyang, Assistant Professor Alfred Sun and Dr Hilary Toh benchmarking midbrain differentiation protocols using BrainSTEM (Image credit Duke-NUS Medical School

Parkinson’s disease is Singapore’s second most common neurodegenerative disorder, affecting about three in every 1,000 people aged 50 and above[1]. The condition damages midbrain dopaminergic neurons—cells that release the chemical dopamine to control movement and learning. Restoring these cells could one day help alleviate symptoms such as tremors and mobility loss.

To better understand how these neurons develop when grown in a laboratory, the Duke-NUS team built a two-step mapping framework called BrainSTEM (Brain Single-cell Two tiEr Mapping). Working with partners, including the University of Sydney, they analysed nearly 680,000 cells from the fetal brain to map the entire cellular landscape.

The second higher-resolution projection focuses on the midbrain—pinpointing dopaminergic neurons with greater precision. This “comprehensive reference map” now provides scientists worldwide with a standard to evaluate the accuracy of midbrain models, compared to the real human brain.

Midbrain dopaminergic neurons under a microscope (Image credit - Hilary Toh, Duke-NUS Medical School)

Midbrain dopaminergic neurons under a microscope // Image credit: Hilary Toh, Duke-NUS Medical School 

Dr Hilary Toh, an MD-PhD candidate from the Neuroscience & Behavioural Disorders programme at Duke-NUS Medical School and one of the first authors of the paper, said:

“Our data-driven blueprint helps scientists produce high-yield midbrain dopaminergic neurons that faithfully reflect human biology. Grafts of this quality are pivotal to increasing cell therapy efficacy and minimising side effects, paving the way to offer alternative therapies to people living with Parkinson’s disease.”

The study, which was recently published in the journal Science Advances, found that many methods used to grow midbrain cells also produced unwanted cells from other brain regions. This shows that both the lab techniques and the data analysis need improvement to detect and remove these off-target cells.

Dr John Ouyang, Principal Research Scientist from Duke-NUS’ Centre for Computational Biology and a senior author of the study, said:

“By mapping the brain at single-cell resolution, BrainSTEM gives us the precision to distinguish even subtle off-target cell populations. This rich cellular detail provides a critical foundation for AI-driven models that will transform how we group patients and design targeted therapies for neurodegenerative diseases.”

Assistant Professor Alfred Sun from Duke-NUS’ Neuroscience & Behavioural Disorders programme, who’s also a senior author of the paper, added:

“BrainSTEM marks a significant step forward in brain modelling. By delivering a rigorous, data-driven approach, it will speed the development of reliable cell therapies for Parkinson’s disease. We’re setting a new standard to ensure the next generation of Parkinson’s models truly reflects human biology.”

The team will provide their brain atlases as an open-source reference and the multi-tier mapping process as a ready-to-use package. With BrainSTEM being a framework that can be applied to sieve out any cell type in the brain, labs worldwide can deploy it to deepen insights, refine workflows and accelerate discovery across neuroscience.

Professor Patrick Tan, Senior Vice-Dean for Research at Duke-NUS, said:

“This study redefines the benchmark—establishing multi-tier mapping as essential for capturing cellular detail in complex biological systems. By revealing how the human midbrain develops in such detail, we will accelerate Parkinson’s research and cell therapy, delivering better care and offer hope to people living with the disease.”

This research was supported by programmes including the USyd-NUS Ignition Grant and the Duke-NUS Parkinson’s Research Fund through the generous donation by The Ida C. Morris Falk Foundation.

A BrainSTEM map of the different cell types in the midbrain // Image credit: Xu Lisheng, Duke-NUS Medical School

A BrainSTEM map of the different cell types in the midbrain // Image credit: Xu Lisheng, Duke-NUS Medical School 

Duke-NUS is a leader in medical research and education, with a commitment to improving patient care through innovative scientific discovery. This study is part of its ongoing efforts to deepen understanding of the fundamental mechanisms at play in the human brain to create new therapeutic approaches, especially for patients with neurological conditions.


###

DOI: 10.1126/sciadv.adu7944 



[1] Tan, L.C.S., Venketasubramanian, N., Jamora, R.D.G. and Heng, D., 2007. Incidence of Parkinson's disease in Singapore. Parkinsonism & Related Disorders13(1), pp.40-43.

 

For media enquiries, please contact Duke-NUS Communications.

Browser not supported

Modern websites need modern browsers

To enjoy the full experience, please upgrade your browser

Try this browser