Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ScRNA-seq from Trex1 KO in heart

ABSTRACT: Single-cell RNA-seq data for Trex1 WT and KO mice from the heart. Used for manuscript in submission at Science Advances.

INSTRUMENT(S): Illumina NovaSeq X

ORGANISM(S): Mus musculus

SUBMITTER: Katherine Williams

PROVIDER: E-MTAB-16525 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

scRNA-seq from Trex1 KO in tumor

Project description:Single-cell RNA-seq data for Trex1 WT and KO mice from the tumor. Used for manuscript in submission at Science Advances.

2026-03-25 | E-MTAB-16526 | biostudies-arrayexpress

The exonuclease TREX1 constitutes an innate immune checkpoint limiting cGAS/STING-mediated anti- tumor immunity

Project description:Given that TREX1-deficient tumor cells showed a growth delay in immunocompetent but not immunodeficient hosts, we characterize the consequences of CT26 tumor-intrinsic TREX1 loss on the host immune system by performing single-cell RNA sequencing on intra-tumoral immune cells sorted from control and TREX1 KO CT26 tumors.

2024-03-12 | E-MTAB-13823 | biostudies-arrayexpress

CT26 sorted in vivo tumor cells with Trex1 KO

Project description:The DNA exonuclease TREX1 degrades endogenous cytosolic DNA. Cytosolic DNA triggers the cGAS/STING pathway which increases type I interferon. To investigate the physiological significance of TREX1 loss on in vivo tumor growth, we implanted control and TREX1-deficient CT26 tumor cells into immunocompetent BALB/c hosts.Tumor cells were collected 7 days after tumors reached around 200mm3.

2024-03-12 | E-MTAB-13816 | biostudies-arrayexpress

scRNAseq of the bone marrow immune microenvironment in control and 5TGM1 myeloma-bearing C57Bl/6 and KaLwRij mice

Project description:We hypothesized that the immune microenvironment of the bone marrow influences the progression of myeloma outgrowth in the 5TGM1 transfer model of multiple myeloma. Therefore we sorted bone marrow T, B, NK, neutrophils, and monocytes/macrophages from control and tumor-bearing C57Bl/6 and KaLwRij mice.

2023-02-23 | E-MTAB-12616 | biostudies-arrayexpress

Paired scRNAseq of the and non-hematopoietic and the immune microenvironment of aspirates from newly diagnosed Multiple Myeloma patients versus non-cancer controls

Project description:By generating a paired single cell RNA-sequencing database of the tumor niche from 10 newly diagnosed MM patients, we created a unique dataset allowing the in-depth analyses of stromal-immune interactions within the tumor microenvironment. Using this database, we identified the presence of inflammatory stromal fibroblasts in the bone marrow of Myeloma patients.The stromal inflammation was associated with NF-κB signaling, and sources of IL-1β or TNFα were specific immune subsets previously shown to be altered in MM, suggesting the presence of an immune cell-mediated feed-forward loop of bone marrow inflammation in MM. By tracking inflammatory signatures over time in individual patients undergoing first-line treatment using bulk RNA sequencing, we show that bone marrow inflammation is not reverted by successful anti-tumor therapy (see related accession number), suggesting a role for stromal fibroblasts and bone marrow inflammation in disease persistence or relapse.

2020-09-30 | E-MTAB-9139 | biostudies-arrayexpress

CD8 T cells single cell transcriptomic analysis from human blood

Project description:CD8 T cells from blood from four healthy volunteers was analysed for several markers by CITEseq and single cell RNAseq.

2025-09-01 | E-MTAB-15460 | biostudies-arrayexpress

An IL-1β driven neutrophil-stromal cell axis fosters a BAFF-rich microenvironment in multiple myeloma

Project description:Neutrophils are the most abundant nucleated cell type in the bone marrow. A pro-tumor bias in this cell type may have implications for bone-marrow residing malignancies, such as multiple myeloma. Here, we generated single cell transcriptomic overviews of the entire myeloid compartment, including the entire neutrophilic lineage, of the bone marrow of 6 newly diagnosed myeloma patients, 5 treated myeloma patients and 4 non-cancer controls. We find dat mature neutrophils in myeloma patients, both newly diagnosed and treated, have an activated and pro-inflammatory phenotype, accompanied by increased transcription of pro-inflammatory cytokines, such as IL-1β, and myeloma cell survival factors, such as BCMA-ligand BAFF/TNFSF13B. Moreover, inflammatory stromal cells can activate naive neutrophils to acquire an inflammatory phenotype as is seen in patients. Previously, we have shown that inflammatory stromal cells characterized the bone marrow of newly diagnosed myeloma patients. Here, we generate single cell RNA sequencing dataset of non-hematopoietic bone marrow cells of patients after induction treatment, high-dose melphalan, stem cell transplantation and consolidation treatment. We show that this intensive treatment reduced, but did not normalize, stromal inflammation.

2023-03-31 | E-MTAB-12760 | biostudies-arrayexpress

ScRNA/TCR-seq of T cells from EMT6 tumors treated with aTGFb/aPD-L1

Project description:We performed 10x single cell RNA and VDJ sequencing on sorted T cells (7AAD- Calcein blue+ CD45+ THY1.1- TCRb+) in an orthotopic EMT6 tumor model 7 days after treatment initiation in four experimental groups: 1) Control 2) aPD-L1 3) aTGFb 4) aPD-L1 and aTGFb.

2023-06-30 | E-MTAB-13073 | biostudies-arrayexpress

scRNA-seq of CD45+ cells taken from the ear epidermis from K14E7 transgenic and wildtype C57/BL6 mice

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

Single cell RNA and CITE sequencing of cells from synovial tissue biopsies of healthy donors, and Rheumatoid Arthritis (RA) patients with active disease or sustained clinical remission

Project description:The dataset includes the raw FASTQ files generated from the 10x Genomics Single Cell 3’ v3.1 experiments. For samples processed with TotalSeq Hashtag reagents, the corresponding hashtag oligonucleotide and condition annotations are provided as separate .csv files. The processed matrices contain filtered readcounts for each cell barcode and, where multiplexing was used, the demultiplexed sample assignments derived from the hashtag data as .csv files. Synovial biopsies were taken using 14G Precisa Needle (HS Hospital Service, Italy) in ultrasound-guided protocol, and digested as described previously (Alivernini et al, 2020). Live CD45+ cells from the synovial tissue (ST) of healthy donors (n=3), patients with active RA (n=5) and patients in sustained remission (n=2) were sorted for single cell RNA (scRNA) or CITE (scCITE) sequencing using the 10x Genomics platform. Maximum 20,000 immune cells from tissue were sorted into Protein LoBind 1.5 ml Eppendorf tube containing 300 μl of RPMI media with 10% of FSC. Cells were loaded onto a Chromium Controller (10X Genomics) for single-cell partitioning, followed by library preparation using Single-Cell 3’ Reagent Kits v3.1. For 3 healthy ST and 4 ST from active RA (Figure S1), Totalseq Hashtag were used (Biolegend #394601, #394603, #394605, #394607, #394609) to combine 2 samples per run, and TotalSeq™-A Human Universal Cocktail (V1.0) was used to collect protein expression (CITEseq) data together with transcriptome data. Single-cell libraries were sequenced on the Illumina HiSeq 4000 system to a minimum depth of 50k reads/cell.

2024-12-06 | E-MTAB-14213 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data