ReviewGenomics, proteomics & bioinformatics2019
Deciphering Brain Complexity Using Single-cell Sequencing.
Review in Genomics, proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
38 citing papers in PubMed.
- Astrocytes and Alcohol Throughout the Lifespan.Biological psychiatry · 2026Review
- Single-cell transcriptional profiling reveals developmental dynamics of longissimus dorsi muscle in adult and Juvenile bactrian camels.Frontiers in physiology · 2025Article
- Experimental Framework for Assessing Mouse Retinal Regeneration Through Single-Cell RNA-Sequencing.Methods in molecular biology (Clifton, N.J.) · 2025Article
- BrainCellR: A precise cell type nomenclature pipeline for comparative analysis across brain single-cell datasets.Computational and structural biotechnology journal · 2024Article
- A molecular atlas of adult C. elegans motor neurons reveals ancient diversity delineated by conserved transcription factor codes.Cell reports · 2024Article
- Unveiling Hypothalamic Molecular Signatures via Retrograde Viral Tracing and Single-Cell Transcriptomics.Scientific data · 2023Article
- Tumor-associated monocytes promote mesenchymal transformation through EGFR signaling in glioma.Cell reports. Medicine · 2023Article
- A molecular atlas of adultbioRxiv : the preprint server for biology · 2023Article
- PPIGCF: A Protein-Protein Interaction-Based Gene Correlation Filter for Optimal Gene Selection.Genes · 2023Article
- The Evolution of Single-Cell RNA Sequencing Technology and Application: Progress and Perspectives.International journal of molecular sciences · 2023Review
- Hierarchical deconvolution for extensive cell type resolution in the human brain using DNA methylation.Frontiers in neuroscience · 2023Article
- Editorial: Advanced computational systems biology approaches for accelerating comprehensive research of the human brain.Frontiers in genetics · 2023Article
- Recent advances in understanding neuronal diversity and neural circuit complexity across different brain regions using single-cell sequencing.Frontiers in neural circuits · 2023Review
- Transcriptional networks of transient cell states during human prefrontal cortex development.Frontiers in molecular neuroscience · 2023Article
- Gossypetin ameliorates 5xFAD spatial learning and memory through enhanced phagocytosis against Aβ.Alzheimer's research & therapy · 2022Article
- Cell Heterogeneity Uncovered by Single-Cell RNA Sequencing Offers Potential Therapeutic Targets for Ischemic Stroke.Aging and disease · 2022Review
- Microfluidics for Neuronal Cell and Circuit Engineering.Chemical reviews · 2022Review
- Sample-multiplexing approaches for single-cell sequencing.Cellular and molecular life sciences : CMLS · 2022Review
- Cortical VIPJournal of molecular neuroscience : MN · 2022Article
- Single-cell multi-omics sequencing and its applications in studying the nervous system.Biophysics reports · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human brain contains billions of highly differentiated and interconnected cells that form intricate neural networks and collectively control the physical activities and high-level cognitive functions, such as memory, decision-making, and social behavior. Big data is required to decipher the complexity of cell types, as well as connectivity and functions of the brain. The newly developed single-cell sequencing technology, which provides a comprehensive landscape of brain cell type diversity by profiling the transcriptome, genome, and/or epigenome of individual cells, has contributed substantially to revealing the complexity and dynamics of the brain and providing new insights into brain development and brain-related disorders. In this review, we first introduce the progresses in both experimental and computational methods of single-cell sequencing technology. Applications of single-cell sequencing-based technologies in brain research, including cell type classification, brain development, and brain disease mechanisms, are then elucidated by representative studies. Lastly, we provided our perspectives into the challenges and future developments in the field of single-cell sequencing. In summary, this mini review aims to provide an overview of how big data generated from single-cell sequencing have empowered the advancements in neuroscience and shed light on the complex problems in understanding brain functions and diseases.
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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.