Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single Cell Profiling of DNMT3A-Mutant Progenitors Novel Pre-Leukemia Marker and Potential Therapeutic Target

ABSTRACT: To identify early events involved in pre-leukemic transformation, we have performed single-cell RNA-sequencing (scRNA-seq) in WT and Dnmt3a KO mice. Flow cytometry sorted wild-type and pre-leukemic Dnmt3a KO HSPC cells were captured using 10X genomics chromium platform.

ORGANISM(S): Mus musculus

PROVIDER: GSE154624 | GEO | 2021/12/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Mouse lung tumor tissue: Dnmt3a KO vs. Dnmt3a WT

Project description:Transcriptional profiling of mouse lung tumors comparing Dnmt3a KO/K-ras G12D mutant with Dnmt3a WT/K-ras G12D mutant. The goal is to search for the difference of mRNA abundance between Dnmt3a KO and WT tumors. Two-condition experiment, KO vs. WT tissure. Biological replicates: 12.

2011-10-25 | E-GEOD-32415 | biostudies-arrayexpress

Mouse lung tumor tissue: Dnmt3a KO vs. Dnmt3a WT

2011-10-26 | GSE32415 | GEO

Reduced representative bisulfite sequencing (RRBS) analysis for a genome-wide comparison of DNA methylation in wild-type, USP7-KO-1, DNMT3A/3B-DKO and DNMT3A/DNMT3B/USP7-TKO HeLa cell lines.

Project description:To better characterize the effects of USP7 on DNA methylation, we performed reduced representative bisulfite sequencing (RRBS) analysis for a genome-wide comparison of DNA methylation in wild-type, USP7-KO-1, DNMT3A/3B-DKO and DNMT3A/DNMT3B/USP7-TKO HeLa cell lines. RRBS analysis showed increased DNA methylation in USK7-KO cells and loss of USP7 elevates DNA methylation on pre-existing sites and de novo methylation.

2020-09-07 | GSE136159 | GEO

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

scRNA-seq of mouse lymph node stromal cells

Project description:C57BL/6 mouse lymph node stromal cells were isolated for scRNA-seq, more than 2x104 cells were run on the 10X Chromium Controller (10X Genomics) to partition single cells with uniquely barcoded beads and processed for sequencing library preparation using the Chromium Single Cell 3’ Reagent Kit. cDNA libraries were sequenced on a NovaSeq 6000 sequencing system. 4 x 103 cells per sample were captured on the 10X Chromium chip. 5-10 x 104 reads/cell were obtained with characterization of 2-3 x 103 transcripts/cell.

2022-07-01 | GSE202068 | GEO

scRNA-seq of lymph node stromal cells from mouse treated with anti-CD40L

Project description:C57BL/6 mouse lymph node stromal cells treated with anti-CD40L were isolated for scRNA-seq, more than 2x104 cells were run on the 10X Chromium Controller (10X Genomics) to partition single cells with uniquely barcoded beads and processed for sequencing library preparation using the Chromium Single Cell 3’ Reagent Kit. cDNA libraries were sequenced on a NovaSeq 6000 sequencing system. 4 x 103 cells per sample were captured on the 10X Chromium chip. 5-10 x 104 reads/cell were obtained with characterization of 2-3 x 103 transcripts/cell.

2022-09-17 | GSE213400 | GEO

Dnmt3a KO CMS-Seq

Project description:Dnmt3a KO vs. WT CMS-Seq in 129S4/SvJae background

2018-05-16 | GSE100952 | GEO

scRNA-seq of lung stromal cells (CD45-CD31-CD326-) from C57BL/6J mice

Project description:To investigate the heterogeneity of lung stromal cells and identify the specific lung stromal subset, we performed single cell RNA-sequencing (scRNA-seq) on lung stromal cells (CD45-CD31-CD326-). Around 6800 cells were captured using the 10x Chromium technology.

2022-07-19 | E-MTAB-11879 | biostudies-arrayexpress

Monocyte-derived IL-1 and IL-6 are differentially required for cytokine release syndrome and neurotoxicity by CAR-T cells.

Project description:Single-cell transcriptome profiling using a 3' droplet-based platform (Chromium,10x Genomics) of human CD45+ leukocytes isolated from leukemic HuSGM3 mice infused with CD19.28z CAR-T cells, two days after cytokine release syndrome (CRS) onset and 5 days later.

2018-05-24 | E-MTAB-6505 | biostudies-arrayexpress

Gene expression and DNA methylation of lung tumors in Dnmt3a deficient vs. WT mice

Project description:This SuperSeries is composed of the following subset Series: GSE32415: Mouse lung tumor tissue: Dnmt3a KO vs. Dnmt3a WT GSE32484: DNA methylation of dnmt3a deficient Kras lung tumors and dnmt3a wt Kras lung tumors Refer to individual Series

2011-10-25 | E-GEOD-32487 | 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