Project description:Sequencing files, and processed data correspond to Figure 3 of Regenerating Human Skeletal Muscle Forms an Emerging Niche In Vivo to Support PAX7 cells. Data contains single nucleus RNA seq from Pax7 ablated mdx-NSG mice, control mdx-NSG mice, with or without an injury. These mice offer superior engraftment by human skeletal muscle stem and progenitor cells. Pax7 ablation model enables evaluation of human stem cell niche formation in the absence of mouse Pax7 cell competition. Included in this dataset is everything required to run independent analysis. We have included raw Fastq files and processed files that are ready to be uploaded into Loupe Browser or R-Studio/Seurat V3. To summarize Cloupe Files can be uploaded to Loupe Browers and the BC_Matrix.H5 files can be uploaded directly to R. Furthermore, the RDS files are processed R-program files that can be immediately uploaded into R for analysis. We have included an example R script for users to follow and a few PDFs of excepted UMAPs using all combined files at PCA 35.
Project description:This Series reports data from a CTCF ChIP-Seq experiment performed in F1-hybrid mouse trophoblast stem cells (TSCs). The data are part of a larger study examining inactive X gene expression and chromatin states, reported as GEO Series GSE39406. Included for this dataset are FASTQ files, BED alignments and WIG files with coordinates relative to UCSC genome build mm9, and _snp files that report the location of all SNP-overlapping reads
2012-09-08 | GSE40667 | GEO
Project description:Metagenomics sequencing raw fastq files
Project description:This dataset contains demographic, histology, PDL1 IHC, TMB and outcome data (PFS and ORR) for 836 patients, 823 of which had RNAseq, 715 had FMI, with 702 patients having both. The dataset also includes xCell deconvolution scores for patients with RNAseq data.
Project description:This dataset contains single cell RNAseq and CITE-seq of human hematopoietic progenitors differentiated in vitro from hiPSCs. We provide processed files corresponding to counts and metadata for the RNA-seq and the CITE-seq. For the RNA-seq dataset suspension CD235a-CD43+live cells collected at day 13 of differentiation were analysed. For the CITE-seq dataset, suspension CD235a-live cells and adherent CD31+ and CD31- were analysed. ADT tags for membrane markers are also contained in the dataset. More details are available in Fidanza et al, Blood 2020.