Decipher brain complexity with single-cell sequencing.

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Gain insight into the complexities of the nervous system

The human nervous system is very complex, with many different neural cell types that communicate both with each other and with cells outside of the central nervous system (CNS).

Overall, we still know very little about the brain, but single-cell sequencing makes a major contribution to understanding the brain's complexity and dynamics, and provides insight into brain disease and development.


Identify neural cell populations

To improve understanding of the nervous system it is important to correctly identify cell types and subtypes.

Traditional methods used for brain cell identification do not generate the desired detail required for some research questions.

But single-cell sequencing adds a higher resolution to these existing methods and allows for more accurate cell type identification, which might reveal cell types or subtypes that have been hiding in your sample all along.

You can also identify cell populations within one brain region, compare transcriptomes of cell types across multiple brain regions, or combine single-cell sequencing with FACS to study heterogeneity within one cell type.


Discover molecular mechanisms

Single-cell sequencing allows you to study neural function of normal state, disease or injury by obtaining single-cell transcriptomics data.

Multiple cell types and molecular pathways are the drivers of neurodegenerative diseases.

Yet new insights provided by single-cell sequencing could have important implications for the development of treatments, or accelerate further research.

Understand brain development

Today, there remain key questions in brain development that are yet to be resolved.

Single-cell sequencing can contribute to this research by adding pseudo temporal algorithms to reconstruct development stages.

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