Single Cell Spatial Transcriptomics Service

Single cell spatial transcriptomics is an advanced molecular profiling technology that combines single-cell RNA sequencing with spatially resolved information within tissues. Unlike traditional single-cell transcriptomics, which provides detailed gene expression data but lacks spatial context, single cell spatial transcriptomics preserves the spatial architecture of tissues while capturing high-resolution gene expression data. By using barcoded spatially arrayed capture spots, imaging-based methods, or other spatial sequencing platforms, single cell spatial transcriptomics allows researchers to map the molecular signature of each cell directly within its native microenvironment. This integration of spatial and transcriptomic data enables the construction of detailed cellular maps, highlighting gene expression patterns, cell-cell communication, and tissue architecture.

 

The applications of this technology span numerous fields of biology and medicine. Single cell spatial transcriptomics plays a pivotal role in understanding tissue heterogeneity, revealing how gene expression varies across cell types and regions of a tissue. In cancer biology, single cell spatial transcriptomics deciphers the tumor microenvironment, uncovering interactions between cancer and immune cells. In neuroscience, single cell spatial transcriptomics maps neural circuits and cellular connectivity in brain tissues. Additionally, in developmental biology and regenerative medicine, single cell spatial transcriptomics tracks spatial dynamics of gene expression during organogenesis or tissue repair. This technology provides transformative insights, enabling the study of complex biological systems with unparalleled depth.

 



 

Longo, S. K. et al. Nat Rev Genet. 2021.

 

Figure 1. Single Cell Spatial Transcriptomics Experimental Focuses

 

Service at MtoZ Biolabs

MtoZ Biolabs, an integrated Chromatography and Mass Spectrometry (MS) Services Provider, provides advanced proteomics, metabolomics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields. MtoZ Biolabs provides a comprehensive Single Cell Spatial Transcriptomics Service designed to empower researchers with fully integrated solutions for decoding the spatial organization of gene expression within tissues. Utilizing state-of-the-art spatial sequencing platforms and advanced bioinformatics pipelines, we generate high-resolution single cell spatial transcriptomics data to support precise tissue mapping and in-depth cellular network analysis. Whether your research focuses on cancer biology, neuroscience, immunology, or developmental biology, our Single Cell Spatial Transcriptomics Service delivers unparalleled expertise, accuracy, and insights, enabling transformative discoveries and advancing the frontiers of biological research.

 



 

Longo, S. K. et al. Nat Rev Genet. 2021.

 

Figure 2. Workflows for Single Cell Spatial Transcriptomics

 

Service Advantages

1. Advanced Analysis Platform: MtoZ Biolabs established an advanced Single Cell Spatial Transcriptomics Service platform, guaranteeing reliable, fast, and highly accurate analysis service.

2. Customized Solutions: Tailors experimental design and analysis pipelines to meet specific research objectives.

3. End-to-End Workflow: Provides complete solutions from sample preparation to advanced bioinformatics analysis.

4. One-Time-Charge: Our pricing is transparent, no hidden fees or additional costs.

5. High-Data-Quality: Deep data coverage with strict data quality control. AI-powered bioinformatics platform integrates all Single Cell Spatial Transcriptomics Service data, providing clients with a comprehensive data report.

 

Applications

• Tumor Microenvironment Analysis
• Developmental Biology
• Disease Mechanism Research
• Drug Discovery and Development

 

Case Study

The adult human breast is composed of a complex network of epithelial ducts and lobules surrounded by connective and adipose tissue. While previous research has predominantly focused on epithelial systems, non-epithelial cell types remain understudied. To address this gap, the Human Breast Cell Atlas (HBCA) was constructed using single cell spatial transcriptomics. Researchers profiled 714,331 cells and 117,346 nuclei from breast tissues of 126 and 20 women, respectively, identifying 12 major cell types and 58 biological cell states. Spatial transcriptomics further revealed tissue-resident immune cells and molecular differences between ductal and lobular regions, offering novel insights into breast biology and potential mechanisms underlying diseases such as breast cancer. The workflow (Figure b) includes tissue dissociation, single-cell transcriptomics, spatial transcriptomics, and downstream analysis. An example (Figure c) illustrates histological regions (adipose, connective, ductal, and lobular tissue) and clustering of cell types in spatial transcriptomics data. A heatmap (Figure d) highlights key marker gene expression across clusters, while Figure e shows cluster distribution across tissue regions. This study highlights the power of single cell spatial transcriptomics in mapping cellular diversity and spatial organization, providing an invaluable reference for mammary biology and disease research.

 



 

 

Kumar, T. et al. Nature. 2023.

 

Our Single Cell Spatial Transcriptomics Service is designed to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample consumption. Free project evaluation, welcome to learn more details.