M20 Spatial
A spatial full-transcriptomic method based on random-primer principle
By leveraging the advantages of random primers, M20 Spatial pioneers a breakthrough in spatial transcriptomics. This innovation not only extends the applicability of spatial transcriptomics across a wide range of species and sample types, but also enables to obtain the unbiased full-length sequences of diverse RNA species. This technological stride not only amplifies the practical utility of spatial transcriptomics across a spectrum of basic and clinical research fields but also dramatically expands the depth of insights derived from spatial transcriptome studies.
How M20 Spatial Works
What Are the Benefits
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Various Samples Types
M20 Spatial demonstrates versatility by accommodating not only fresh and frozen samples but also formalin-fixed, paraffin-embedded (FFPE) specimens. This broad compatibility significantly extends the reach of spatial single-cell transcriptomics in a wide range of research scenarios.
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Diverse RNA Species
Utilizing random primers, M20 Spatial enables the profiling of the full transcriptome including the capture and extensive exploration of non-coding RNAs (lncRNA, miRNA, snRNA, etc.). This distinctive feature underscores the forefront of spatial transcriptomics, facilitating a detailed unraveling of the complexities within non-coding RNA research.
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Full-Length Sequences
M20 Spatial enables to capture the full-length sequences of transcripts, providing a comprehensive representation of the entire transcriptome. This capability empowers researchers to conduct in-depth investigations, revealing crucial details such as gene fusions and alternative splicing.
Use of M20 Spatial
Across 3,190 spots in a mouse brain FFPE section, M20 Spatial detected 29,380 genes in total, with a median gene count of 3,449 per spot.
Clustering based on M20 Spatial data uncovers distinct cell subpopulations. Spatial projections of these cell subpopulations depict their unique organization across different brain areas, highlighting the spatial heterogeneity within the tissue.
By achieving uniform coverage across the entire gene body, M20 Spatial ensures an accurate representation of full transcripts. This unbiased approach provides a comprehensive view of the transcriptomic landscape.
With 2-10% of the total RNA detected comprising lncRNA, M20 Spatial enables comprehensive exploration of their biological functions. This capability provides valuable insights into the roles of long non-coding RNAs within the transcriptomic landscape.
