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Learn MoreSpatial transcriptomics not only captures gene expression data but also offers valuable spatial location information, which enables researchers to understand the spatial arrangement of genes within brain tumor tissue samples, shedding light on how the spatial distribution of gene expression influences brain tumors. Alfa Cytology offers cutting-edge spatial transcriptome technology to effectively analyze gene expression patterns in brain tumor tissues at precise spatial locations.
Spatial transcriptomics is a potent technique that enables the comprehensive capture of the entire transcriptome within the spatial framework of tissues. This methodology is extensively utilized to investigate the spatial distribution of various cell types within tissues and unveil the complex interactions among them. Spatial transcriptomics methodologies are mainly classified into two categories according to detection methods, including imaging-based methods and sequencing-based methods.
Fig.1 Application of spatial transcriptomics in drug research and development. (Cao J., et al., 2024)
Sequencing-based spatial transcriptomic methods employ barcoded DNA arrays to capture polyadenylated RNA transcripts from tissues followed by next-generation sequencing. Researchers have utilized this method to study the cellular interactions and organization of brain tumors in situ, shedding light on the complex ecosystem of brain tumors.
Imaging-based spatial transcriptomics can be classified into two approaches including in situ sequencing (ISS)-based methods and in situ hybridization (ISH)-based methods. In situ sequencing-based methods allow for the direct reading of transcript sequences within tissue samples while in situ hybridization-based methods detect target sequences by hybridization of complementary fluorescent probes. Both techniques are extensively applied in brain tumor research, providing comprehensive whole transcriptome maps of the brain tumor microenvironment.
Alfa Cytology offers cutting-edge spatial transcriptomics services that encompass detecting the spatial distribution of total mRNA and constructing comprehensive gene expression atlases. This capability enables the identification of various cell populations while retaining spatial coordinates, offering crucial insights into the interplay between brain tumor cell functionality, phenotype and spatial positioning within the tumor microenvironment. By studying brain tumor cell heterogeneity, our clients can unravel cellular interactions in their native context, facilitating a deeper understanding of the intricate ecosystem of malignant brain tumors.
Upon acquiring the sequencing data, our initial step involves utilizing software to automate image processing, data comparison and Barcode processing. This streamlined process allows for quick and easy visualization and analysis of spatial transcriptome data. We offer a range of analyses including basic and advanced scores such as spot gene count and UMI count statistics, slice spot clustering and clustered subgroup marker gene analysis. Additionally, we provide personalized analyses such as specific pathway function enrichment analyses to cater to individual research needs.
Accurate Spatial Localization
Capable of precise localization of the transcriptome within brain tumor tissues, offering real-time insights into the natural state of the transcriptome in tumor tissues.
High Precision
The spatial transcriptomic analysis we offer ensures the utmost accuracy, facilitating the mapping of spatio-temporal genetic profiles with exceptional precision.
Simple and Easy to Use
The microarray design is straightforward to use, highly reproducible and offers rapid access to detailed spatial transcriptome data.
Wide Range of Applications
It is widely employed in the precise delineation of brain tissue structures and the characterization of the immune microenvironment in brain tumors.
Alfa Cytology provides advanced brain tumor spatial transcriptomic analysis services that unveil critical tumor characteristics and define a microenvironment characterized by immune and metabolic stressors. Our services enable the identification of localized tumor-host interdependencies, shedding light on the necessity for diverse transcriptional adaptations in brain tumors within a spatially resolved framework. It provides important information for further exploration of early brain tumor recurrence and treatment resistance. For further details, please reach out to our team for comprehensive information and assistance.
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