SBX Technology for Single Cell RNA and Spatial Analysis
Yutaka Suzuki, Ph.D.
Thursday, December 11, 2025
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Introduction
SBX Technology for Single Cell RNA and Spatial Analysis
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Core Lab at University of Tokyo
Understanding intratumor heterogeneity and complex microenvironment of cancer tissues by spatial analysis
IDO1-high tumor cells co-localize cytotoxic CD8 T cells in the boundary of the differentiated and mucinous regions
Spatial analysis of lung adenocarcinomas For each Noguchi’s criterion
Inferring the landscape of LCNEC (34 cases)
Advantages and Disadvantages in sequence-based spatial analysis
Increasing sequencing depths
VISIUM HD Analysis of HBV-induced HCC mouse model
200,000 cells (Liver Cancer Mouse Model)
Spatial pattern of HBV mRNA
TRB
Roche's SBX technology
Yield Summary and Read Length Distribution
Sample 1-visually very similar
Tracking Read Depth Effects in Visium HD
KARS
VISIUM HD 3' (sequence-based)
Element Aviti24 vs SBX
VisiumHD 3' - Splice-aware mapping
HRAS splice variant
Alternative promoter-aware spatial analysis (GNAS)
KRBA1 and Mutations
Human T Cell Receptor Alpha (TCRα)
Human Immunoglobulin Heavy (IGH)
VisiumHD 3’
Spatial distribution of major clonotypes
Comparison between Visium HD and HD 3’
Single cell (Blood)3’: Usual Chromium library (long)
VDJ Detection (SBX ID0167906942)
Single cell (Blood)3’
bioRxiv
Spatial ATAC: Curio Trekker (Curio Biosciences-> TaKaRa)
Clustering analysis of tkbhgnec14
A (not-huge but flexible) core lab for international collaborations.
Acknowledgements
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