79d3222f-7720-408b-bf5c-1be9bdaa32d6 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001008349 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We used Chromium Single Cell Multiome ATAC + Gene Expression to analyze CD45+ leukocytes in the rhesus macaque brain during homeostasis and chronic SIV infection
2024-03-26 | GSE261968 | GEO
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:Aging is a universal biological phenomenon linked to many diseases, such as cancer or neurodegeneration. However, the molecular mechanisms underlying aging, or how lifestyle interventions such as cognitive stimulation can ameliorate this process, are yet to be clarified. Here, we performed a multi-omic profiling, including RNA-seq, ATAC-seq, ChIP-seq, EM-seq, SWATH-MS and single cell Multiome scRNA and scATAC-seq, in the dorsal hippocampus of young and old mouse subjects which were subject to cognitive stimulation using the paradigm of environmental enrichment. In this study we were able to describe the epigenomic landscape of aging and cognitive stimulation.
2023-09-29 | PXD045567 | Pride
Project description:We used microarrays to analyze gene expression changes in liver after treatment of rats with two compounds from drug development (R1, R2) to identify potential effects related to hepatotoxicity. The development cpds have been described in: Pierson et al., J Med Chem 52: 3855-62. R1 corresponds to 36, R2 corresponds to 38
2009-07-29 | GSE17388 | GEO
Project description:3 samples of R1, R2 and R3 bone marrow monocytes were compared from 3 biological replicates in 3 separate experiments. R1, R2 and R3 were sorted from triplicate experiments from pools of mice
2016-11-24 | GSE90471 | GEO
Project description:Previously, we identified tripotent colony-forming progenitor cells in the adult murine pancreas that were capable of self-renewal and differentiation into duct, acinar and endocrine cells in vitro. However, the incidence of these progenitor cells was low (~1% among pancreatic cells in adult 2-4 month-old mice). The goal of the current study was to find cell-surface markers that can distinguish and enrich pancreatic colony-forming progenitor cells. It was found that pancreatic cells could be divided into CD133+CD71- , CD133highCD71low and CD133lowCD71low and CD133-CD71- cells. CD133highCD71low cells, but not other cell populations, were the most enriched for colony-forming progenitors. Interestingly, both CD133+CD71- and CD133highCD71low cells expressed ductal markers as shown by gene expression RT-PCR analysis. To further characterize CD133+CD71- (designated as R1 cells) and CD133highCD71low (designated as R2 cells) ductal cell populations, genome-wide gene expression analysis using RNA-seq was performed. The genes that were differentially expressed by R1 and R2 cells are deposited here. Subsequent pathway analysis of the RNA-seq data revealed that R2 and R1 cells have propensity for cell migration and immune response, respectively. These gene expression analyses suggested ductal cells of the adult pancreas are heterogeneous in nature.
2016-01-01 | GSE72990 | GEO
Project description:We used microarrays to analyze gene expression changes in liver after treatment of rats with two compounds from drug development (R1, R2) to identify potential effects related to hepatotoxicity. Experiment Overall Design: Compound R1 or R2, or vehicle control, was given for either 24h or 2 weeks (336h) at different doses.
2009-08-09 | E-GEOD-17388 | biostudies-arrayexpress
Project description:The raw fastq files for 30 whole exome and 30 whole genome sequencing for normal endometrial glands. The paired-end sequencing data sets (R1 and R2) are deposited.
| EGAD00001008377 | EGA
Project description:Mononuclear phagocytes have important functions in regulating tissue injury and regeneration after AKI. We tested the hypothesis that kidney resident macrophages (R2) and infiltrative mononuclear phagocytes (R1) exist in distinct transcriptional subsets that are resolvable by single cell RNA sequencing. A further objective was to identify transcriptional signatures for those subsets. By cell sorting R2 and R1 cells from quiescent and injured mouse kidneys, we found remarkable heterogeneity among intrarenal innate immune cells. We define four subsets of dendritic cells and six subsets of R2 cells and specify differentially expressed genes that identify these cell types. Additionally, we observed subset-specific transcriptional responses to AKI. R2 cells, which express surface phenotype homogeneity, adopt distinct transcriptional programs in the steady state and after injury. Expression of MHC class II and invariant chain genes are decreased in a predominant subset of R2 cells after AKI. In contrast, other macrophage lineage-defining genes such as C1qa, b, and c, are expressed at similar levels across R2 cell subsets and their expression does not change in response to injury. This study has allowed us to identify R2 and R1 subsets that may prove to be therapeutic targets for inhibiting damaging inflammation and fibrosis or promoting tissue regeneration.
2023-09-01 | GSE157338 | GEO
Project description:Bean leaves treated with BTH or water. 126 = control R1, 127 = BTH R1, 128 = control R2, 129 = BTH R2, 130 = control R3, 131 = BTH R3
2019-07-31 | MSV000084162 | MassIVE