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:We generated a comprehensive dataset utilizing the cuprizone model. This dataset encompasses bulk RNA-seq, single-nucleus RNA-seq (snRNA-seq), and spatial transcriptomics, with the aim of investigating the molecular changes linked to the cuprizone-induced demyelination phenotype. Integration of these omics dataset allowed us to investigate the changes occurring at both the single-cell and spatial levels, thereby enabling a deeper understanding of the cellular dynamics and molecular interactions associated with the cuprizone-induced demyelination phenotype.
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:CTCF ChIP-seq of 39 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011059 (dataset).
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:H3K27ac ChIP-seq of 79 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). In addition, 4 samples derived from CD34+ cord blood cells of healthy donors were included. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011060 (dataset).
Project description:We report a spatial transcriptomics dataset of mouse brain tissue generated with the 10x Genomics Visium platform to identify gene expression changes after sleep deprivation
