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Advances in Brain Models Using Stem Cells

New methods improve brain models for studying development and diseases.

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Studying how the human brain develops, especially in relation to health and disease, has been challenging due to its complexity. However, new techniques using special cells called Stem Cells have opened doors to better understand brain development. These stem cells can turn into brain cells, allowing researchers to create models of the brain that help in understanding both normal functioning and diseases.

Stem Cell Models and Their Development

Researchers use human embryonic stem cells or induced pluripotent stem cells (hiPSCs) to create brain models. These models can be grown in different ways. Some are developed in thin layers, while others form three-dimensional structures. These structures can resemble parts of the brain and help researchers see how brain cells grow and interact. However, as models become more complex, they tend to show more variations in results, making it harder to draw concrete conclusions.

One significant challenge with these three-dimensional models is that they can sometimes have areas in the middle that do not get enough oxygen or nutrients. This can cause parts of the model to die off, which can affect the overall results. Some researchers have been working on ways to improve these models, for instance, by adding structures that resemble blood vessels. This could help ensure that all parts of the models receive enough nutrients.

A New Way to Create Brain Models

In this study, researchers propose a new method for making brain models that are easier to manage and analyze. These models can be grown in standard laboratory plates that can hold many samples at once. The researchers have found a way to make these brain models stick to the bottom of the plates, which helps keep them organized.

The new models can be maintained for a long time and contain various types of brain cells, including Neurons, which are the main cells that transmit signals in the brain, and Glial Cells, which support and protect neurons. Researchers found that after eight weeks of growing these models, the cells organized themselves into layers that are similar to how they are arranged in a real brain.

Self-Organization of Cells

When the stem cells were placed in the specially designed plates, they began to multiply and transform into brain cells. Over a few weeks, the emerging cells arranged themselves into organized patterns. Researchers observed that most of the samples developed a clear structure after two months. The central part of these structures became densely packed with cell bodies, while the outer parts had long processes extending outwards.

The ability of these cells to organize themselves is important for representing real brain structures. By adjusting the number of stem cells used, the researchers could control how well the models developed. Too few cells resulted in poorly organized networks, while too many led to overcrowding and disorganization.

Distribution of Cell Types and Layer Formation

As the brain models matured, scientists noticed a change in the types of cells present. Certain proteins that marked different cell types were examined. Researchers found that while the number of stem cells decreased over time, the number of specialized brain cells, like neurons, increased significantly.

Different types of neurons began to segregate into layers, mimicking the natural development seen in human brains. This is crucial for understanding how different brain functions can develop and interact. The study showed that after several weeks, the models displayed a basic organization where deep-layer neurons formed before upper-layer neurons.

Variety of Brain Cells

The new brain models also contained various types of supporting cells known as glial cells. These cells play essential roles in brain health, and their presence in the models showcases their importance in brain development. Researchers identified several types of glial cells, including those that help form the protective covering around neurons.

The models not only included neurons and glial cells, but they also contained precursor cells that could develop into a specific type of glial cell responsible for producing myelin, which insulates neurons. Scientists found that these precursor cells appeared around six weeks after the stem cells were placed in the models and continued to grow into mature cells capable of supporting neuron activity.

Evidence of Brain Function

To examine whether these brain models were functioning correctly, researchers looked for signs of Synaptic Connections, which are crucial for communication between neurons. They noted that the neurons formed connections with one another, indicating that synaptic activity was occurring.

Researchers also used special techniques to measure the activity of neurons in the models. They discovered that the neurons exhibited coordinated bursts of activity, suggesting that they were working together as a network, similar to a real brain. Monitoring how these networks behaved over time provides insights into how brain activity manifests.

Comparison with Existing Models

While other types of brain models are available, such as floating 3D organoids, they often come with their own set of issues like variability and necrosis. These floating models can form multiple areas of brain tissue, making it difficult to study them effectively. The new adherent cortical organoids offer a more streamlined approach.

By keeping the models in a consistent state, researchers can more easily analyze how brain cells develop and interact. This uniformity can lead to more reliable results, which is essential for future applications in understanding brain function and diseases.

Future Applications

The new method of creating brain models has significant implications for research. With these models being suitable for high-throughput testing, scientists can efficiently study the effects of different compounds on brain cells. This is particularly useful for researching neurodevelopmental and neuropsychiatric disorders, where understanding these conditions can lead to better treatments.

Moreover, the ability to test drugs directly on human-derived brain models is vital. Traditional animal models do not always predict how treatments will work in humans, so using human cells can lead to more accurate assessments of drug safety and effectiveness.

Limitations and Conclusion

Despite their many benefits, these new brain organoids still have limitations. The models do not yet fully replicate all the complexities of a real brain, especially when it comes to the arrangement of layers and regions. However, the ease of use and potential for detailed studies position these models as valuable tools in neuroscience research.

In summary, the development of these new adherent cortical organoids marks a significant step in modeling human brain development. The ability to create consistent, functional brain models will undoubtedly contribute to our understanding of the brain and how to address related diseases. Through continued research and refinement, these models could pave the way for breakthroughs in neuroscience and medicine.

Original Source

Title: Human adherent cortical organoids in a multiwell format

Abstract: In the growing diversity of human iPSC-derived models of brain development, we present here a novel method that exhibits 3D cortical layer formation in a highly reproducible topography of minimal dimensions. The resulting adherent cortical organoids develop by self-organization after seeding frontal cortex patterned iPSC-derived neural progenitor cells in 384-well plates during eight weeks of differentiation. The organoids have stereotypical dimensions of 3 x 3 x 0.2 mm, contain multiple neuronal subtypes, astrocytes and oligodendrocyte lineage cells, and are amenable to extended culture for at least 10 months. Longitudinal imaging revealed morphologically mature dendritic spines, axonal myelination, and robust neuronal activity. Moreover, adherent cortical organoids compare favorably to existing brain organoid models on the basis of robust reproducibility in obtaining topographically-standardized singular radial cortical structures and circumvent the internal necrosis that is common in free-floating cortical organoids. The adherent human cortical organoid platform holds considerable potential for high-throughput drug discovery applications, neurotoxicological screening, and mechanistic pathophysiological studies of brain disorders.

Authors: Femke MS de Vrij, M. van der Kroeg, S. Bansal, M. Unkel, H. Smeenk, S. A. Kushner

Last Update: 2024-04-17 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.04.15.589507

Source PDF: https://www.biorxiv.org/content/10.1101/2024.04.15.589507.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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