Visualize and map genes at high sensitivity and subcellular resolution in situ
In Situ analysis allows researchers to enhance and refine spatial transcriptomics data by creating targeted gene expression maps at cellular and subcellular resolution on tissue sections. By finely mapping complex cellular relationships and networks, biological processes leading to disease can be more clearly elucidated. Already, this technology has contributed to new insights into cell atlassing, neurodegenerative disease, immunology, and cancer.
Map Cellular Relationships
Finely map spatial information at the cellular and subcellular level, zooming in on targeted genes of interest.
Preserve Tissue Morphology
Simultaneously detect gene and protein expression from fresh-frozen, fixed-frozen, and FFPE tissue, and map the data to an H&E image.
Complements Spatial and Single Cell Data
Complement and refine your Visium spatial transcriptomics and/or single cell data to dive deeper with a robust, highly sensitive, and specific in situ end-to-end workflow.
Key Features
Publications
Cellular relationships revealed: From development to health and disease
See how researchers are applying in situ analysis to map cellular relationships and dive deeper into spatial transcriptomic data.
Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease
Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease
Chen et al. Cell. 2020.
Chen et al. Cell. 2020.
Spatial and temporal localization of immune transcripts defines hallmarks and diversity in the tuberculosis granuloma
Spatial and temporal localization of immune transcripts defines hallmarks and diversity in the tuberculosis granuloma
Carow et al. Nature Communications. 2019
Carow et al. Nature Communications. 2019
A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
Asp et al. Cell. 2019
Asp et al. Cell. 2019
Product Availability
10x Genomics is currently investing in development of the future In Situ analysis technology by combining the strengths of Cartana and ReadCoor technologies.