Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

66 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Mus musculus

SUBMITTER: Zoltan Kellermayer

PROVIDER: E-MTAB-12616 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

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

Bulk RNAseq of control and 5TGM1 myeloma-bearing bone marrow T, NK, and non-hematopoietic stromal cells from C57Bl/6 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, NK, and non-hematopoietic stromal cells from control and tumor-bearing C57Bl/6 mice.

2023-02-24 | E-MTAB-12615 | 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

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

RNA sequencing of the non-hematopoietic microenvironment of aspirates from Multiple Myeloma patients at diagnosis and after treatment 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 (see related accession number). 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 (this dataset), suggesting a role for stromal fibroblasts and bone marrow inflammation in disease persistence or relapse. Raw sequencing data files will be deposited to EGA.

2021-02-01 | E-MTAB-9285 | biostudies-arrayexpress

Single-cell RNA sequencing of OT-I CD8+ T cells after stimulation with different affinity ligands

Project description:Activation of CD8+ T cells depends exquisitely on the affinity of the T cell receptor (TCR) for a peptide MHC (pMHC) ligand complex. Here, we activated OT-I transgenic CD8+ T cells with pure peptide and examined early activation responses by single-cell RNA-sequencing. T cells were activated with the high affinity OT-I cognate peptide (N4=SIINFEKL) for 1, 3 or 6 hours, or with reduced affinity peptides (T4=SIITFEKL and G4=SIIGFEKL) or the non-binding peptide (NP68=ASNENMDAM) for 6 hours. Cells were then sorted into 96-well plates by FACS and RNA was sequenced following an adapted Smart-Seq2 protocol.

2018-06-25 | E-MTAB-6051 | biostudies-arrayexpress

Bulk RNA sequencing of endothelial-derived and non-endothelial-derived BMSCs and OLCs of VE-Cadherin-Cre;LoxP-tdTomato mice

Project description:We performed lineage tracing experiments using VE-Cadherin-Cre;LoxP-tdTomato mice. In these mice, endothelial cells (ECs) and their progeny are permanently marked by tdTomato fluorescence. We found that a substantial subset of stromal cells is derived from ECs, as indicated by their tdTomato expression. These findings support the notion that endothelial to mesenchymal transition (EndoMT) contributes to hematopoietic bone marrow niche formation in mice. Here we sought to determine the transcriptomic differences between endothelial-derived (tdTomato-positive) and non-endothelial-derived (tdTomato-negative) bone marrow stromal cells (BMSCs) and osteo/chondrolineage progenitor cells (OLCs). Murine niche populations were obtained from collagenased bone fraction of VE-Cadherin-Cre;LoxP-tdTomato mice at 3 weeks (n=2) or 11 weeks (n=2) of age. BMSCs (CD45-TER119-CD31-CD144-SCA-1+ CD51+ cells) and OLCs (CD45-TER119-CD31-CD144-Sca1-CD51+ cells) were FACS-purified and sequenced.

2021-01-25 | E-MTAB-10020 | 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

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

Quantitative Proteomics Reveals Specialized Wiring of Signaling Pathways that Protects Human Regulatory T Cell Identity - 2 populations in vitro

Project description:Regulatory CD4+ T cells (Tregs) are functionally distinct from conventional CD4+ T cells (Tconvs). To understand Treg identity, we compared by proteomics and transcriptomics human naïve (n) and effector (e)Tregs, Tconvs and transitional FOXP3+ cells. Only 12% of 422 differentially expressed proteins was identified as such at the mRNA level, demonstrating the importance of direct proteome measurement. Fifty-one proteins discriminated Tregs from Tconvs. This common Treg protein signature indicates altered signaling by TCR-, TNF receptor-, NFB-, PI3 kinase/mTOR-, NFAT- and STAT pathways, and unique cell biological and metabolic features. Another protein signature uniquely identified eTregs and revealed active cell division, apoptosis sensitivity and suppression of NFB- and STAT signaling. eTreg fate appears consolidated by FOXP3 outnumbering its partner transcription factors. These features explain why eTregs cannot produce inflammatory cytokines, whereas transitional FOXP3+ cells can. Collectively, our data reveal that Treg identity is defined and protected by uniquely “wired” signaling pathways.

2018-05-18 | PXD007745 | Pride

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