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A practical guide to sequencing in neuropsychiatric research
Adelaide R Minerva1, Michael DeBerardine1, Rixing Lin1
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544 USA.
NPP - Digital Psychiatry and Neuroscience
|August 11, 2025
Summary
Advancements in genome-wide sequencing technologies offer powerful tools for neuroscience and psychiatry research. This primer guides researchers on selecting the best sequencing methods for understanding brain development and psychiatric disorders.
Area of Science:
- Genomics and Computational Biology
- Neuroscience and Psychiatry Research
Background:
- Genome-wide RNA and DNA profiling technologies have rapidly advanced over the past two decades.
- These 'omics' sequencing approaches provide insights into molecular mediators of development and disease.
- Single-cell/nucleus and spatial 'omics' offer unprecedented resolution of cellular processes in complex tissues.
Purpose of the Study:
- To provide a primer on available sequencing technologies for neuroscience and psychiatry.
- To discuss the pros, cons, and optimal applications of different sequencing methods.
- To guide researchers in selecting appropriate techniques for neuropsychiatric research challenges.
Main Methods:
- Review of current genome-wide, single-cell/nucleus, and spatial 'omics' sequencing technologies.
- Comparative analysis of the strengths and limitations of various sequencing approaches.
- Discussion of applications in the context of brain cellular heterogeneity and psychiatric disorders.
Main Results:
- Sequencing technologies provide unbiased insights into molecular mechanisms.
- Single-cell and spatial 'omics' enhance understanding of complex brain tissues.
- Different sequencing techniques are suited for distinct research questions and budgets.
Conclusions:
- The choice of sequencing technology depends on the specific research question in neuroscience and psychiatry.
- Advanced techniques like single-cell and spatial 'omics' are valuable for studying brain heterogeneity.
- A careful consideration of technology capabilities and costs is essential for effective research design.

