Custom microfluidic chip design enables cost-effective three-dimensional spatiotemporal transcriptomics with a wide field of view

Junjie Zhu(Chinese Academy of Sciences), Kun Pang(Chinese Academy of Sciences), Beiyu Hu(Chinese Academy of Sciences), Ruiqiao He(Chinese Academy of Sciences), Ning Wang(Chinese Academy of Sciences), Zewen Jiang(Chinese Academy of Sciences), Peifeng Ji(Chinese Academy of Sciences), Fangqing Zhao(Institute of Zoology)
Nature Genetics
September 10, 2024
Cited by 39Open Access
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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. Microfluidics-assisted grid chips for spatial transcriptome sequencing (MAGIC-seq) is a spatial transcriptomics method combining multiple-grid microfluidic design and prefabricated DNA arrays for increased throughput and reduced cost, with applications for large fields of view and 3D spatial mapping.


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