Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq of CD33 KO and control HSPCs

ABSTRACT: Gene expression profile of in vitro differentiated control and CD33 KO CD34+ cells (with 70-85% CD33 KO) were analyzed by RNA-seq to exclude any major impact of CD33 loss on downstream gene expression

ORGANISM(S): Homo sapiens

PROVIDER: GSE113670 | GEO | 2018/04/26

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-seq of CD33 KO and control HSPCs

Project description:RNA-seq of CD33 KO and control HSPCs

| PRJNA453558 | ENA

Effect of CD33 and/or CD123 KO in the NPM1-mutated AML cell line OCI-AML3

Project description:To reveal which pathways linked to CD33 and CD123 overexpression could be involved in leukemic proliferation, we performed unbiased bulk RNA sequencing comparison between OCI-AML3 wt and CD123 and or CD33 KO clones

2022-07-25 | GSE209518 | GEO

Transcription profiling of human umbilical cord blood and adult bone marrow CD34+CD33-CD38-Rho(lo)c-kit+ cells to identify candidate regulators of HSC self-renewal versus differentiation fate decisions

Project description:The global gene expression profiles of human umbilical cord blood and adult bone marrow CD34+CD33-CD38-Rho(lo)c-kit+ cells, enriched for hematopoietic stem/progenitor cells (HSC) with CD34+CD33-CD38-Rho(hi) cells, enriched in committed hematopoietic progenitor cells (HPC), were compared to identify candidate regulators of HSC self-renewal versus differentiation fate decisions.

2007-10-30 | E-GEOD-2666 | biostudies-arrayexpress

RNA expression profiling of CD13/CD33-positive and CD13/CD33-negative B-ALL patients [miRNA expression]

Project description:To study the effect of expression of CD13/CD33 on the pathogenesis of B-cell acute lymphoblastic (B-ALL), we collected samples from 4 CD13/CD33-positive and 4 CD13/CD33-negative B-ALL patients and performed RNA-seq.

2023-12-31 | GSE197180 | GEO

RNA expression profiling of CD13/CD33-positive and CD13/CD33-negative B-ALL patients [mRNA expression]

2023-12-31 | GSE197178 | GEO

Genome-wide expression profile on hiPSCs and hiPSC-derived CD33+ myeloid cells

Project description:To gain insights into which pathways might be dysregulated in JMML, we compared the transcriptome profiles among hiPSC and sorted CD33+ myeloid cells from control and patient samples. NS/JMML-derived CD33+ myeloid cells showed dysregulation in major biological processes. Moreover, a consistent expression pattern among sets of genes related to pluripotency and myeloid regulation was observed in the control, NS and NS/JMML CD33+ myeloid cells further supporting generally successful myelopoiesis. Total RNA obtained from hiPSC and sorted CD33+ myeloid cells (at day 14 of differentiation) from control and patient samples

2014-01-31 | E-GEOD-54538 | biostudies-arrayexpress

TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer's Disease

Project description:CD33-/- and/or TREM2-/- mice were crossed with the 5xFAD mouse model of Alzheimer’s disease to generate single and double CD33/TREM2 knock-out mice on 5xFAD background. Transcriptome and gene expression analyses were performed to analyze the impact of CD33 and/or TREM2 knock-out on the transcriptome of microglia in the context of amyloid pathology. The results revealed that CD33 and/or TREM2 knock-out reprogrammed microglial gene expression signatures in 5xFAD mice in an age-dependent manner. Differential gene expression in 5xFAD;CD33-/- microglia depended on the presence of TREM2. These data suggest that TREM2 acts downstream of CD33.

2019-06-11 | GSE132508 | GEO

Expression data from infant ALL with MLL-AF4 rearrangement

Project description:MLL-AF4+ blasts from infant B-ALL, CB-derived CD34+CD38-CD19-CD33- HSC, CB-derived CD34+CD19+CD33- B-cell HPCs and CB-derived CD34+CD33+CD19- myeloid HPCs. We used microarray to estudy gene expression profile comparing ALL vs HSC, HPC and myeloid HPSC. We used highly FACS-purified (purity>98%) MLL-AF4+ blasts from infant B-ALL, CB-derived CD34+CD38-CD19-CD33- HSC, CB-derived CD34+CD19+CD33- B-cell HPCs and CB-derived CD34+CD33+CD19- myeloid HPCs. For each independent sample technical duplicates were always performed. Total RNA was extracted using TRIol reagent, and quantified on a Nanodrop spectrophotometer and Bioanalyzer. High-quality RNA was reverse transcribed and the obtained cDNA was used as a template to synthesize biotinylanted cDNA, then was fragmented and hybridized as duplicates/triplicates to HG-U133 plus2.0 GeneChips (Affymetrix) according to manufacturer's guideline.

2016-03-22 | E-GEOD-79450 | biostudies-arrayexpress

Expression data from infant ALL with MLL-AF4 rearrangement

2016-03-22 | GSE79450 | GEO

Genome-wide expression profile on hiPSCs and hiPSC-derived CD33+ myeloid cells

2014-01-31 | GSE54538 | GEO