Similar Datasets
Project description:We performed single-cell RNA-seq analysis (10X genomics 3'-GEM scRNA-seq kit) of AT2-specific loss of Mdm2 on Day8
2023-11-02 | GSE235212 | GEO
Project description:The lungs of mice inoculated with H1N1 were harvested at day 7. The DAPI- lung cells were loaded into a 10x Genomics microfluidics chip and encapsulated with barcoded oligo-dT-containing gel beads using the 10x Genomics Chromium controller using v3 kit according to the manufacturer's instructions.
2022-04-29 | GSE201541 | GEO
Project description:Mesenchymal cells (CD31-, CD45-, EpCAM-, Ter119-) were collected for 10x Genomics Chromium Single Cell v3.1 scRNA-seq from the lungs of Scube2-CreER/Rosa26-tdTomato double homozygous mice on day 0 , 7, 14, 21 after bleomycin treatment.
2024-04-18 | GSE210341 | GEO
Project description:This dataset contains single nucleus Assay for Transposase-Accessible Chromatin (ATAC) sequencing results from rat nucleus accumbens tissue. Rats received repeated cocaine injections (20mg/kg, intraperitoneal injection), or saline injections as a control. Single-nucleus ATAC-seq was carried out with FACS-sorted nuclei using the 10X Genomics Chromium single cell sequencing platform using the Chromium Next GEM Single Cell ATAC Kit v2.
2023-08-07 | GSE233754 | GEO
Project description:Purpose: analyze the transcriptomic differences in liver of CCL4 and BDL mouse model Methods: Fresh isolated HSC suspensions of CCL4 and BDL were loaded on the 10x Genomics Chromium Single Cell Platform using the Chromium Single Cell 3’ GEM Library & Gel Bead Kit v3 Results: We revealed the HSC activation roadmap and portal fibroblasts are major contributor to myofbroblast in BDL model.
2021-06-09 | GSE171904 | GEO
Project description:Purpose: to depict the single-cell map and reveal the heterogeneity of hPSC derived macrophages Methods: Differentiation day 14 iMacs were dissociated to obtain a single-cell suspension. scRNA-seq and scATAC-seq library preparation and sequencing were done by CapitalBio Technology (https://www.capitalbiotech.com/). scRNA-seq, the cell suspension was immediately loaded onto the Chromium Single Cell Controller (10× Genomics) for droplet formation. cDNA and subsequent sequencing library were generated using Chromiun Single Cell 3’ Reagent Kit (v3 Chemistry) (10× Genomics) according to the instruction manual. For sc-ATAC-seq, cell nuclei were extracted with Chromiun Nuclei Isolation Kit (v2 Chemistry) (10x Genomics) and then loaded onto the Chromium Single Cell Controller for droplet formation. Results: ScRNA-seq and scATAC-seq data of differentiation day 14 iMacs from hPSCs Conclusions: day 14 differentiation culture, which consisted primarily of monocytes and macrophages.
2024-05-23 | GSE234577 | GEO
Project description:Data set contains samples from isolated cells of murine hearts after myocardial infarction (LAD surgery). We used Col1a2 tracing system to mark Collagen expressing cells within d3 to d7 post infarct. In brief, adult Col1a2-ERT2+/-;mT/mG mice, at an age of 12 weeks (n=4) as well as aged animals with 88-91 weeks (n=4) were used. Left anterior descending coronary artery ligation surgery was performed, inducing myocardial infarction. Homeostasis animals were not operated. For Cre induction we injected 2mg Tamoxifen from d3 to d7 post surgery. All animals were sacrificed 28d post injury. Murine scRNA-seq libraries were prepared using Chromium Single Cell 3′ v3 Reagent Kit (10X Genomics), according to manufacturer’s protocols. Raw reads were mapped against a customized version of mm10 (GRCm38.p4) containing sequences of EGFP and tdTomato.
2020-12-15 | E-MTAB-9817 | biostudies-arrayexpress
Project description:Langerhans cells (LC) in skin help initiate the immune response to locally presented antigens. We performed high-resolution single-cell RNA-sequencing (scRNAseq) analysis for antigen presenting cells including LC in normal mouse skin, and in mouse skin expressing the human papillomavirus (HPV) 16 E7 oncogene. Ear skin was collected from normal and trangenic mice. Dissociated CD45+ cells were processed for scRNA-seq using the 10X Genomics Chromium 3' gene expression kit (v2).
2021-10-15 | E-MTAB-8199 | biostudies-arrayexpress
Project description:This repository contains all the FASTQ files for the five data modalities (scRNA-seq, scATAC-seq, Multiome, CITE-seq+scVDJ-seq, and spatial transcriptomics) used in the article \\"An Atlas of Cells in The Human Tonsil,\\" published in Immunity in 2024. Inspired by the TCGA barcodes, we have named each fastq file with the following convention: [TECHNOLOGY].[DONOR_ID].[SUBPROJECT].[GEM_ID].[LIBRARY_ID].[LIBRARY_TYPE].[LANE].[READ].fastq.gz which allows to retrieve all metadata from the name itself. Here is a full description of each field: - TECHNOLOGY: scRNA-seq, scATAC-seq, Multiome, CITE-seq+scVDJ-seq, and spatial transcriptomics (Visium). We also include the fastq files associated with the multiome experiments performed on two mantle cell lymphoma patients (MCL). - DONOR_ID: identifier for each of the 17 patients included in the cohort. We provide the donor-level metadata in the file \\"tonsil_atlas_donor_metadata.csv\\", including the hospital, sex, age, age group, cause for tonsillectomy and cohort type for every donor. - SUBPROJECT: each subproject corresponds to one run of the 10x Genomics Chromium™ Chip. - GEM_ID: each run of the 10x Genomics Chromium™ Chip consists of up to 8 \\"GEM wells\\" (see https://www.10xgenomics.com/support/software/cell-ranger/getting-started/cr-glossary): a set of partitioned cells (Gel Beads-in-emulsion) from a single 10x Genomics Chromium™ Chip channel. We give a unique identifier to each of these channels. - LIBRARY_ID: one or more sequencing libraries can be derived from a GEM well. For instance, multiome yields two libraries (ATAC and RNA) and CITE-seq+scVDJ yields 4 libraries (RNA, ADT, BCR, TCR). - LIBRARY_TYPE: the type of library for each library_id. Note that we used cell hashing () for a subset of the scRNA-seq libraries, and thus the library_type can be \\"not_hashed\\", \\"hashed_cdna\\" (RNA expression) or \\"hashed_hto\\" (the hashtag oligonucleotides). - LANE: to increase sequencing depth, each library was sequenced in more than one lane. Important: all lanes corresponding to the same sequencing library need to be inputed together to cellranger, because they come from the same set of cells. - READ: for scATAC-seq we have three reads (R1, R2 or R3), see cellranger-atac's documentation. While we find these names to be the most useful, they need to be changed to follow cellranger's conventions. We provide a code snippet in the README file of the GitHub repository associated with the tonsil atlas to convert between both formats (https://github.com/Single-Cell-Genomics-Group-CNAG-CRG/TonsilAtlas/). Besides the fastq files, cellranger (and other mappers) require additional files, which we also provide in this repository: - cell_hashing_metadata.csv: as mentioned above, we ran cell hashing (10.1186/s13059-018-1603-1) to detect doublets and reduce cost per cell. This file provides the sequence of the hashtag oligonucleotides in cellranger convention to allow demultiplexing. - cite_seq_feature_reference.csv: similar to the previous file, this one links each protein surface marker to the hashtag oligonucleotide that identified it in the CITE-seq experiment. - V10M16-059.gpr and V19S23-039.gpr: these correspond to the two slides of the two Visium experiments performed in the tonsil atlas. They are needed to run spaceranger. - [GEM_ID]_[SLIDE]_[CAPTURE_AREA].jpg: 8 images associated with the Visium experiments. Here, GEM_ID refers to each of the 4 capture areas in each slide. - [TECHNOLOGY]_sequencing_metadata.csv: the GEM-level metadata for each technology. It includes the relationship between subproject, gem_id, library_id, library_type and donor_id. These are the other repositories associated with the tonsil atlas: - Expression and accessibility matrices: https://zenodo.org/records/10373041 - Seurat objects: https://zenodo.org/records/8373756 - HCATonsilData package: https://bioconductor.org/packages/release/data/experiment/html/HCATonsilData.html - Azimuth: https://azimuth.hubmapconsortium.org/ - Github: https://github.com/Single-Cell-Genomics-Group-CNAG-CRG/TonsilAtlas
2024-05-02 | E-MTAB-13687 | biostudies-arrayexpress
Project description:Wild-type horizontal basal cells (HBCs) from mouse olfactory epithelium were profiled using single-cell ATAC-seq (10x Genomics v2) to identify regions of accessible chromatin in individual cells before and 24 hours after acute injury.
2023-10-30 | GSE246167 | GEO