Project description:Purpose: The goal of this study is to use MERFISH to identify the spatial distribution of septal cells Methods: P35 CD1 mice were collected.10 µm tissue sections were obtained from along the rostro-caudal axis and adhered to the MERSCOPE Slide. The samples were permeabilized in 70% ethanol overnight, followed by cell boundary staining. A 500-gene panel was generated based on enriched genes in each astrocyte and neuron cluster, with approximately 100 astrocyte genes and 400 neuron genes, The samples were then hybridized using the gene panel mix, followed by gel embedding and clearing steps. Images were processed using the MERSCOPE instrument and analysis computer, along with MERSCOPE visualizer software to streamline the acquisition of high-quality MERFISH data accroding to Vizgen; Results: Neurons and astrocytespatial clusters were defined in the septum based on unique gene enrichment
Project description:These data were used in the spatial transcriptomics analysis of the article titled \\"Single-Cell and Spatial Transcriptomics Analysis of Human Adrenal Aging\\".
Project description:To investigate spatial heterogeneities in the axolotl forebrain, a coronal section of it was obtained for spatial transcriptomics using Visium V1.
Project description:Spatial organization of different cell types within prenatal skin across various anatomical sites is not well understood. To address this, here we have generated spatial transcriptomics data from prenatal facial and abdominal skin obtained from a donor at 10 post conception weeks. This in combination with our prenatal skin scRNA-seq dataset has helped us map the location of various identified cell types.
Project description:Identification of cell types in the interphase between muscle and tendon by Visium Spatial Transcriptomics of four human semitendinous muscle-tendon biopsies. Cell types identified by single nuclei RNA seq on similar tissue were localized in situ with the use of Spatial Transcriptomics.
Project description:This data is from healthy skin tissue and has been used as a reference to compare diseased datasets. The dataset is from experiments of spatial transcriptomics.
Project description:Comprehensive map of first- and second-trimester gonadal development in humans using a combination of single-cell and spatial transcriptomics, chromatin accessibility assays, and imaging.
Project description:To study the spatial localisations of the cell populations in an early haematopoietic tissue and lymphoid organs critical for T and B cell development, we profiled fetal liver, thymus and spleen from 3 donors at 18 PCW with sequencing-based spatial transcriptomics (10x Genomics Visium).