bioRxivGenomicsPreprint
Spatial Transcriptomics Sequencing of Mouse Liver at 2 Micron Resolution Using a Novel Spatial DNA Chip
Xun Ding, Kendall HoffiD, Radha Swaminathan, Mikaela KoutrouliiD, Scott Pollom, Tianlong HuangiD, Xin LiiD, Guoqiang ZhouiD, Zhicong Bai, Shizhe YuiD, Zongping XiaiD, Lars Juhl JenseniD, Filip Crnogorac, Yu SuiD, Glenn H. McGall, Jeremy S. EdwardsiD, Wei ZhouiD
Abstract
Spatial transcriptomics enables analysis of gene expression that is spatially resolved within a tissue section, making it possible to elucidate the relationship between individual cells within the context of the tissue. This transformative technology enables researchers to better understand gene function within the context of health tissue, developmental processes, and disease. In this study, we present an innovative spatial transcriptomics technology and data using a high-resolution DNA chip with a total capture region size of 6.5 x 6.5 mm containing 2 x 2 {micro}m features for spatial barcoding with no gaps between the features, thereby maximizing the capture area. These chips are manufactured at wafer scale using photolithography and are transferred to hydrogels, making them compatible with existing workflows for fresh frozen or paraffin-embedded samples. Herein, we examined a fresh frozen sample from an adult mouse liver. To analyze the data, we binned 10 x 10 features to represent a 20 {micro}m x 20 {micro}m capture area. We obtained 1.3 billion unique mapped reads, 68.78% sequencing saturation, with a median of 16,967 unique reads per region, indicating the potential for more unique reads with deeper sequencing. This high-resolution mapping of liver cell types and the visualization of gene expression patterns illustrate significant advancements in spatial sequencing technology.
- organism: mouse
- assay: spatial transcriptomics
- research focus: database / resource
- approach: experimental assay
- Citations
- 4
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