ArticleNature genetics2024
Custom microfluidic chip design enables cost-effective three-dimensional spatiotemporal transcriptomics with a wide field of view.
Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Enhancing RNA Capture Efficiency in Spatial Transcriptomics: A Review of Innovative Technologies and Strategies.International journal of molecular sciences · 2025Pooled it
- Resolving cell-cell interaction networks and their molecular logic in complex tissues.Nature methods · 2026Article
- Review
- Amplification bias in sequencing-based spatial transcriptomics: sources, mechanisms, impacts, and mitigation strategies.Briefings in bioinformatics · 2026Review
- Artificial intelligence in spatial transcriptomics: a review of methods, datasets, and directions.Briefings in bioinformatics · 2026Review
- NicheTrans: spatial-aware cross-omics translation.Nature methods · 2026Article
- Review
- Spatially decoding genotype-associated epigenetic landscapes in human lymphoma FFPE tissues via epi-Patho-DBiT.Nature communications · 2026Article
- [Half a century of gene expression analysis : The path to modern spatial transcriptomics in autopsy tissue].Pathologie (Heidelberg, Germany) · 2026Review
- stSCI: A multi-task learning framework for integrative analysis of single-cell and spatial transcriptomics data.Innovation (Cambridge (Mass.)) · 2026Article
- LFC-Lab on a chip · 2026Article
- Bridging the dimensional gap from planar spatial transcriptomics to 3D cell atlases.Nature methods · 2026Article
- Next-Generation Microencapsulation Technologies for Probiotic Protection and Precision Delivery.Microbial biotechnology · 2026Review
- Modeling Alzheimer's disease with brain organoids: mechanisms, applications, and future directions.Frontiers in cell and developmental biology · 2026Review
- The evolving landscape of spatial proteomics technologies in the AI age.Fundamental research · 2026Review
- Microfluidic lung cancer models: Bridging clinical treatment strategies and tumor microenvironment recapitulation.APL bioengineering · 2025Review
- Targeting leukemic stem cell biomechanics suppresses stemness and enhances NK cell-mediated immunotherapy.Nature communications · 2025Article
- Spatial omics in 3D culture model systems: decoding cellular positioning mechanisms and microenvironmental dynamics.Journal of translational medicine · 2025Review
- Systematic benchmarking of high-throughput subcellular spatial transcriptomics platforms across human tumors.Nature communications · 2025Article
- SOAR elucidates biological insights and empowers drug discovery through spatial transcriptomics.Science advances · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Spatial transcriptomic techniques offer unprecedented insights into the molecular organization of complex tissues. However, integrating cost-effectiveness, high throughput, a wide field of view and compatibility with three-dimensional (3D) volumes has been challenging. Here we introduce microfluidics-assisted grid chips for spatial transcriptome sequencing (MAGIC-seq), a new method that combines carbodiimide chemistry, spatial combinatorial indexing and innovative microfluidics design. This technique allows sensitive and reproducible profiling of diverse tissue types, achieving an eightfold increase in throughput, minimal cost and reduced batch effects. MAGIC-seq breaks conventional microfluidics limits by enhancing barcoding efficiency and enables analysis of whole postnatal mouse sections, providing comprehensive cellular structure elucidation at near single-cell resolution, uncovering transcriptional variations and dynamic trajectories of mouse organogenesis. Our 3D transcriptomic atlas of the developing mouse brain, consisting of 93 sections, reveals the molecular and cellular landscape, serving as a valuable resource for neuroscience and developmental biology. Overall, MAGIC-seq is a high-throughput, cost-effective, large field of view and versatile method for spatial transcriptomic studies.
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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.