ReviewInterdisciplinary sciences, computational life sciences2024
A Review of the Application of Spatial Transcriptomics in Neuroscience.
Review in Interdisciplinary sciences, computational life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed.
- Multi-task spatial distillation reveals cell-type-resolved programmed cell death landscapes in the human kidney.Briefings in bioinformatics · 2026Article
- Applications of large-scale artificial intelligence models in bioinformatics.Quantitative biology (Beijing, China) · 2026Review
- The next paradigm in bioinformatics: a review of multi-agent systems and foundational models for end-to-end scientific discovery.Briefings in bioinformatics · 2026Review
- Exploring the human brain: spatial transcriptomics challenges and approaches in post-mortem analysis.Brain : a journal of neurology · 2026Review
- The Neurogenic Niche: Interactions Among Vessels, Glia, and Neural Stem Cells.Stem cells international · 2026Review
- High-altitude hypoxic cues and cerebral ischemic tolerance: an evidence-graded translational framework for stroke research.Frontiers in neuroscience · 2026Review
- Precision Drug Delivery Strategies for Treatment-Resistant Depression: Opportunities and Challenges of FUS-BBBO and Spatial Molecular Profiling.Drug design, development and therapy · 2026Review
- Ferroptosis-associated transcriptional factors in neurological diseases: molecular mechanisms and therapeutic prospects.Experimental & molecular medicine · 2025Review
- Inference of cell-type composition and single-cell spatial maps from spatial transcriptomics data with SWOT.Communications biology · 2025Article
- Rod-shaped microglia represent a morphologically distinct subpopulation of disease-associated microglia.Journal of neuroinflammation · 2025Article
- Article
- Developing a multiomics data-based mathematical model to predict colorectal cancer recurrence and metastasis.BMC medical informatics and decision making · 2025Article
- Spatial Omics in Clinical Research: A Comprehensive Review of Technologies and Guidelines for Applications.International journal of molecular sciences · 2025Review
- Transcriptomic Approach Reveals Contrasting Patterns of Differential Gene Expression during Tannin Biodegredation byInternational journal of molecular sciences · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Since spatial transcriptomics can locate and distinguish the gene expression of functional genes in special regions and tissue, it is important for us to investigate the brain development, the development mechanism of brain diseases, and the relationship between brain structure and function in Neuroscience (or Brain science). While previous studies have introduced the crucial spatial transcriptomic techniques and data analysis methods, there are few studies to comprehensively overview the key methods, data resources, and technological applications of spatial transcriptomics in Neuroscience. For these reasons, we first investigate several common spatial transcriptomic data analysis approaches and data resources. Second, we introduce the applications of the spatial transcriptomic data analysis approaches in Neuroscience. Third, we summarize the integrating spatial transcriptomics with other technologies in Neuroscience. Finally, we discuss the challenges and future research directions of spatial transcriptomics in Neuroscience.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.