BMKGENE provided spatial transcriptome sequencing services for the study “STEEL enables high-resolution delineation of spatiotemporal transcriptomic data”, which was published in Briefings in Bioinformatics.
This study proposed an unsupervised and manifold learning-based algorithm, Spatial Transcriptome cEll typE clustering (STEEL), which identifies domains from spatial transcriptome by clustering beads exhibiting both highly similar gene expression profiles and close spatial distance in the manner of graphs.
A comprehensive evaluation of STEEL on spatial transcriptomic datasets from the 10X Visium platform demonstrates that it not only achieves a high resolution to characterize fine structures of the mouse brain but also enables the integration of multiple tissue slides individually analyzed into a larger one.
With the advancement of spatial transcriptome technologies, our method will have great applicability in domain identification and gene expression atlas reconstruction.
Click here to learn more about this study.
Post time: Oct-20-2023