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

ScRNAseq of Mus musculus ileum samples with RET melanoma against non-xenograft mice controls

ABSTRACT: Compare cell type proportion and gene expression between 3 mice with RET and 3 mice control

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Mus musculus

SUBMITTER: Marine Aglave

PROVIDER: E-MTAB-11242 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Role of trisomy 21, GATAs mutation and associated mutations in the development of a DS-AMKL model from IPSC: Single cell RNAseq

Project description:Acute megakaryoblastic leukemia of Down syndrome (DS-AMKL) is a model of clonal evolution from a preleukemic transient myeloproliferative disorder requiring both a trisomy 21 (T21) and a GATA1s mutation to a leukemia driven by additional driver mutations. We modelled this leukemic evolution through stepwise gene editing of GATA1s, SMC3+/- and MPLW515K providing 20 different trisomy or disomy 21 iPSC clones. Single cell analysis was performed on hematopoietic cells obtained from IPSC clones after 13 days of differentiation. Sample preparation was done at room temperature. Single-cell suspensions were loaded onto a Chromium Single Cell Chip (10x Genomics) according to the manufacturer’s instructions for co-encapsulation with barcoded Gel Beads at a target capture rate of ~10,000 individual cells per sample. Captured mRNAs were barcoded during cDNA synthesis using the Chromium Next GEM Single Cell 3' GEM, Library & Gel Bead Kit v3.1 (10X Genomics) according to the manufacturer’s instructions. All samples were processed simultaneously with the Chromium Controller (10X Genomics) and the resulting libraries were prepared in parallel in a single batch. We pooled all of the libraries for sequencing in a single SP Illumina flow cell. All of the libraries were sequenced with an 8-base index read, a 28-base Read1 containing cell-identifying barcodes and unique molecular identifiers (UMIs), and a 91-base Read2 containing transcript sequences on an Illumina NovaSeq 6000.

2022-09-29 | E-MTAB-11036 | biostudies-arrayexpress

Single-cell RNAseq of CD45 positive cells in MC38 tumors - Primary irradiated tumors and secondary non-irradiated tumors - Concurrent treatment with anti-PD-L1

Project description:Primary irradiated MC38 tumors and secondary MC38 non-irradiated tumors. Subcutaneous MC38 tumors in C57BL/6 mice Concurrent treatment with anti-PD-L1.

2023-10-15 | E-MTAB-13389 | biostudies-arrayexpress

Single-cell RNA-seq of fibroblasts influenced by exosomes derived from melanoma cell line G361

Project description:In this in-vitro study, we demonstrated the different effects of exosomes produced by G361 melanoma cells on the functional properties of normal dermal fibroblasts and fibroblasts prepared from skin metastasis of cutaneous malignant melanoma. Both normal and cancer-associated fibroblasts were cultivated in either DMEM with 10% EDS (exosome-depleted serum) (control) or DMEM with 10% EDS + 10 microg/ml G361 exosomes (EXO). The cells were harvested after 24 hours of cultivation.

2021-12-31 | E-MTAB-10290 | biostudies-arrayexpress

Single-cell RNA-seq (10x Chromium V3) of heterogeneous spheres consisting of melanoma cell line and two types of human primary dermal fibroblasts

Project description:Photo-damage represents an important aspect of cutaneous carcinogenesis. The photo-damaged microenvironment significantly facilitates progression of malignant melanoma. Therefore human primary dermal fibroblasts from photo-damaged adult skin and juvenile sun-protected skin were isolated and expanded as described by Dvorankova et al. (PMID: 29675784). Low passage fibroblasts were mixed in suspension (in ratio 1:1) with G361 malignant melanoma cell line (CVCL_1220). Using the hanging drop technique (PMID: 29786551), the melanoma/fibroblast spheres containing 50,000 cells per sphere were formed during the next 72 hours. The organoids were consequently maintained for another 2 days in non-adhesive culture wells in complete DMEM culture medium. At this time, heterogeneous spheres were harvested for immunohistochemical analysis or for further invasion studies. Single-cell suspensions from heterogeneous spheres were analysed by single-cell RNA sequencing (10x Chromium V3) to reveal the transcriptional heterogeneity of model cell populations under given conditions with emphasis on the features of dermal fibroblasts exposed to the influence of malignant melanoma.

2021-02-27 | E-MTAB-9216 | biostudies-arrayexpress

Single cell RNAseq of wild-type and Iqgap2-/- (KO) mouse brain endothelial cells

Project description:Single cell RNAseq from brain endothelial cells (BECs) isolated from wild-type and Iqgap2-/- (KO) mice to identify transcriptional changes in BECs caused by loss of Iqgap2. Mouse brains were dissociated to single cell suspension and labelled with CD31. CD31+ cells were flow sorted and processed for single cell RNAseq.

2023-02-27 | E-MTAB-12687 | biostudies-arrayexpress

Clonal and functional patterns of emigrating Treg cells according to locations

Project description:Single-cell TCR and RNA sequencing of recovered T cells in mLN, cLN, tdLN and tumor bed 24 hours post inoculation of CFSE in mLN.

2023-07-01 | E-MTAB-12846 | biostudies-arrayexpress

scRNA-seq, V(D)J seq, CITE-seq, LIBRA-seq of human CD4+, CD8+ and B lymphocytes PBMCs of 5 donors (3 SARS-CoV-2 experienced and 2 SARS-Cov-2 Naive) before and following two doses of Pfizer/BioNTech BNT162b2 mRNA vaccine

Project description:The experiment aims at characterizing the immune responses elicited by the BNT162b2 vaccine against SARS-CoV-2, initially administered in a two dose regimen (second dose after three weeks followinf the first dose) In particular the transcriptional landscape of circulating T and B lymphocytes has been profiled longitudinnaly by scRNA-seq coupleD with CITE-seq of 19 cell surface markers to better classify T cells subpopulations, LIBRA-seq to assess the Spike-specificity of BCRs and and V(D)J seq to also track T and B cell clones dynamics. Eeach sample was profiled before vaccination (T0), 21 days after the first dose (T1), 2 months after the first dose (1 month after the second dose) (T2). The immune responses were characterized using PBMC from 3 SARS-CoV-2 experienced donors (experiencing SARS-Cov-2 at least 4 months before the first vaccinatin) and 2 SARS-CoV-2 unexperienced donors.

2024-04-18 | E-MTAB-13721 | biostudies-arrayexpress

Single cell analysis of CD45-positive immune cells infiltrating the central nervous system of mice undergoing experimental autoimmune encephalomyelitis.

Project description:C56BL/6 mice (10 to 12-week-old) were immunized subcutaneously at the base of the tail with 100 μg of MOG (35–55) emulsified in complete Freund's adjuvant containing 500 μg of Mycobacterium tuberculosis. Pertussis toxin (200 ng; List Biological Laboratories) was injected intravenously at days 0 and 2 post-immunization. At day 17 post immunization, central nervous system CD45-positive immune cells were isolated and loaded onto a single channel of a 10x Chromium chip for each sample.

2022-06-06 | E-MTAB-11294 | biostudies-arrayexpress

Integrated longitudinal immunophenotyping, transcriptional and repertoire analyses depict principles of protective immune responses and memory formation in COVID-19 patients

Project description:scRNAsequencing coupled with TCR and BCR sequencing of 6 Covid patients (3 mild and 3 severe) and 2HD in acute and recovery phases

2021-07-30 | E-MTAB-9652 | biostudies-arrayexpress

Single Cell data of B cells from patients with chronic Hepatitis C and sustained viral response

Project description:We dissect HCV imprinting of B cell repertoires in patients with chronic disease. The persistent character of the oncogenic B cell repertoire generated by HCV may point to a chronically elevated lymphoma risk in these patients even years after HCV cure.

2023-11-30 | E-MTAB-12502 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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