M20 Spatial

A spatial full-transcriptomic method based on random-primer principle

M20 Genomics

Leveraging the merits of random primer technology, M20 Spatial pioneers a breakthrough in spatial transcriptomics. It not only broadens applicability to various species and sample types, but also excelling in capturing diverse RNA species with unbiased coverage of full-length RNA sequences. 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. In essence, M20 Spatial emerges as a driving force, steering the field of biomedical research toward unprecedented breakthroughs.

How M20 Spatial Works

What Are the Benefits

  • Diverse Sample Types

    M20 Spatial demonstrates versatility by accommodating not only fresh and frozen samples but also FFPE specimens. This broad compatibility enhances the applicability of this technology across diverse sample types in a wide range of research scenarios.

  • Whole Transcriptome

    M20 Spatial excels in unbiased spatial profiling of the whole transcriptome, paving the way for extensive exploration into non-coding RNA, lncRNA. This distinctive feature underscores the forefront of spatial transcriptomics, facilitating a detailed unraveling of the complexities within non-coding RNA research.

  • Full-Length Sequences

    M20 Spatial enables the capture of full-length transcriptome sequences, ensuring a complete representation of the transcriptomic landscape. This capability empowers in-depth investigations into spatial-level intricacies, unraveling crucial transcriptomic details including gene fusions and alternative splicing.

Use of M20 Spatial

Attain High-Resolution Spatial Gene Expression Data

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.

Reveal Spatial Heterogeneity between Cell Subpopulations

Clustering based on M20 Spatial data unveiled distinct cell populations in different brain regions, which, when projected back to their original spatial positions, could depict the spatial organizations across different brain areas.

Capture Unbiased Full-Length Transcripts

M20 Spatial achieves uniform coverage across the entire gene body from 5' to 3', ensuring a more accurate and reliable representation of transcriptomic information in spatial transcriptomics data.

Dissect Spatial LncRNA Information

M20 Spatial detected lncRNA in mouse FFPE samples, comprising 2%-10% of the total detected RNA, enhancing the depth and comprehensiveness of information provided by spatial transcriptomics.

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