Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Tet2-/-Flt3ITD and WT stem and progenitor cells

ABSTRACT: The study was a comparison of gene expression using RNA-seq. We analyzed the stem and progenitor cells from WT and Vav-cre+ Tet2fl/fl Flt3-ITD (T2F3) mice. We isolated stem cells LSK (lin- sca+ kit+) and granulocyte-macrophage progenitors GMP (lin- sca- kit+ fcgr+ cd34+) cells from bone marrow. Comparisons were made across genotypes WT vs. T2F3 and cell types LSK vs. GMP. Comparison of WT and Tet2-/-Flt3ITD bone marrow stem and progenitor cells.

ORGANISM(S): Mus musculus

SUBMITTER: Jeffrey Zhao

PROVIDER: E-GEOD-57244 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Mutational cooperativity linked to combinatorial epigenetic gain of function in acute myeloid leukemia.

Shih Alan H AH Jiang Yanwen Y Meydan Cem C Shank Kaitlyn K Pandey Suveg S Barreyro Laura L Antony-Debre Ileana I Viale Agnes A Socci Nicholas N Sun Yongming Y Robertson Alexander A Cavatore Magali M de Stanchina Elisa E Hricik Todd T Rapaport Franck F Woods Brittany B Wei Chen C Hatlen Megan M Baljevic Muhamed M Nimer Stephen D SD Tallman Martin M Paietta Elisabeth E Cimmino Luisa L Aifantis Iannis I Steidl Ulrich U Mason Chris C Melnick Ari A Levine Ross L RL

Cancer cell 20150401 4

Specific combinations of acute myeloid leukemia (AML) disease alleles, including FLT3 and TET2 mutations, confer distinct biologic features and adverse outcome. We generated mice with mutations in Tet2 and Flt3, which resulted in fully penetrant, lethal AML. Multipotent Tet2(-/-);Flt3(ITD) progenitors (LSK CD48(+)CD150(-)) propagate disease in secondary recipients and were refractory to standard AML chemotherapy and FLT3-targeted therapy. Flt3(ITD) mutations and Tet2 loss cooperatively remodeled ...[more]

PMID: 25873173

Similar Datasets

Origins of MLL cancer stem cells govern leukemic self-renewal mediated by -catenin and Hoxa9

Project description:From mice, strand-specific RNA-Seq of granulocyte-myeloid progenitors (GMP) and hematopoietic stem cells (HSC). Cancer stem cells (CSC) were created with MLL-ENL transfections using puromycin for both GMP and HSCs. Further knock-outs were created of -catenin (Ctnnb1) and Hoxa9.

2017-10-10 | E-MTAB-3647 | biostudies-arrayexpress

Downstream Targets of HOXB4 in the primitive hematopoietic progenitor EML Cell line

Project description:Enforced expression of the homeobox transcription factor HOXB4 has been shown to enhance hematopoietic stem cell (HSC) self-renewal and expansion ex vivo and in vivo. In order to investigate the largely unknown downstream targets of HOXB4 in hematopoietic progenitor cells, HOXB4 was constitutively overexpressed in the primitive hematopoietic progenitor cell line, EML. Gene expression differences were compared between KLS (c-Kit+, Lin-, Sca-1+)-EML cells that overexpressed HOXB4 (KLS-EML-HOXB4) to control KLS-EML cells that were transduced with vector alone. ChIP-chip was used to identify promoter regions bound by HOXB4. We overexpressed HOXB4 in EML cells. We isolated 3 separate single cell clones as assessed by Southern Blot Analysis (3 clones for EML-HOXB4 and 3 clones for control EML-GFP cells). RNA was isolated from the KLS (c-Kit+, Lin-, Sca-1+) fraction of each single cell clone population and processed for hybridization to array chips using established lab protocols. Chip-Chip analysis of the three HOXB4 overexpressing clones was performed to identify HOXB4 bound promoters.

2010-04-20 | E-GEOD-20604 | biostudies-arrayexpress

Single cell RNA sequencing of LSK (lineage negative, Sca-1+, c-Kit+) cells isolated by fluorescence-activated cell sorting from the bone marrow of control young C57Bl/6Jax mice

Project description:Hematopoietic stem cells (HSCs) and different multipotent progenitor populations (MPPs) contained in the Lin- Sca-1+ c-Kit+ (LSK) compartment have previously been identified using diverse surface marker panels. However, a comprehensive and complete characterization of the complete LSK compartment is lacking to date. Here, we present a single cell RNA sequencing of LSK cells that was used to establish trajectories within the HSPC compartment. A related bulk 3’-seq study of HSCs and MPP1-4 cells was also conducted, available in the ArrayExpress database under accession number E-MTAB-7391. Another related 3’-seq study of MPP5 population is available in the ArrayExpress database under accession number E-MTAB-9135.

2021-05-13 | E-MTAB-9208 | biostudies-arrayexpress

Genes affected by PAD4 deficiency in LSK cells obtained from mouse bone marrow.

Project description:We found PAD4, which is one of the transcriptional co-regulator by histone modification, was highly expressed in lineage-, Sca-1+, c-kit+ (termed as LSK) cells of mouse bone marrow. To find the target genes which are regulated by PAD4 in LSK cells, we analyzed gene expression in PAD4-deficient mouse as compared with wild-type mouse. Gene expression in wild-type and PAD4-deficient LSK cells

2013-06-01 | E-GEOD-45482 | biostudies-arrayexpress

Total RNA sequencing for Mus musculus bone marrow lymphoid committed cell populations

Project description:MPP2, MPP3 and CLP populations were isolated by fluorescence-activated cell sorting (FACS) from the BM of B6 mice based on the surface expression of VCAM1, FLT3 and IL7Ra within LSK population. On average 100K cells were analyzed for each population in 3 independent biological experiments. We generated sequence libraries from these low RNA inputs using the SMARTer Stranded RNA-Seq and sequenced at high depth of coverage to generate ~2x120 M reads per biological replicate.

2022-11-19 | E-MTAB-11217 | biostudies-arrayexpress

Functionally distinct subsets of lineage-biased multipotent progenitors control blood production in normal and regenerative conditions

Project description:To identify the molecular characterisitics of parallel lineage-biased MPP populations arising from hematopoietic stem cells (HSC) we conducted genome-wide analyses of hematopoietic stem, progenitor and mature myeloid cell populations using Affymetrix Gene ST1.0 arrays. Microarray analysis of 3-5 biological replicates of the indicated hematopoietic populations, isolated by FACS sorting from C57BL/6 mouse BM. Immunophenotypic definitions: Long-term HSC (HSCLT) (Lin-/cKit+/Sca1+/Flk2-/CD48-/CD150+); Short-term HSC (HSCST) (Lin-/cKit+/Sca1+/Flk2-/CD48-/CD150-); MPP2 (Lin-/cKit+/Sca1+/Flk2-/CD48+/CD150+); MPP3 (Lin-/cKit+/Sca1+/Flk2-/CD48+/CD150-); MPP4 (Lin-/cKit+/Sca1+/Flk2+); CMP (Lin-/cKit+/Fc?R-/CD34+); GMP (Lin-/cKit+/Fc?R+/CD34+); Pre-granulocyte (PreGr) (Mac1+/Gr1int); Granulocyte (Gr) (Mac1+/Gr1hi). HSC and GMP samples listed here were also used as controls for our related microarray study GSE48893.

2015-05-05 | E-GEOD-68529 | biostudies-arrayexpress

Transcription profiling of mouse quantitative trait loci (QTLs) in uantitative trait loci (QTLs) and brain to identify genes and loci that control hematopoietic stem cell (HSC) functioning

Project description:We have combined large-scale mRNA expression and gene mapping methods to identify genes and loci that control hematopoietic stem cell (HSC) functioning. mRNA expression levels were measured in purified HSC isolated from a panel of densely genotyped recombinant inbred mouse strains. Quantitative trait loci (QTLs) associated with variation in expression of thousands of transcripts were mapped. Comparison of the physical transcript position with the location of the controlling QTL identified polymorphic cis-acting stem cell genes. In addition, multiple trans-acting control loci were highlighted that modify expression of large numbers of genes. These groups of co-regulated transcripts identify pathways that specify variation in stem cells. We illustrate this concept with the identification of strong candidate genes involved with HSC turnover. We compared expression QTLs in HSC and brain from the same animals, and document both shared and tissue-specific QTLs. Our data are accessible through WebQTL, a web-based interface that allows custom genetic linkage analysis and identification of co-regulated transcripts.

2007-11-16 | E-GEOD-2031 | biostudies-arrayexpress

Lyl-1 knockout vs wildtype Lymphoid Primed Multipotent Progenitors (LMPPs)

Project description:We compared gene expression differences in Lyl-1 knockout vs wildtype LMPPs KO allele described in Pub Med ID: 21387538 LMPPS were purified as Lineage-negative, Sca-1+ c-Kit+ (LSK) and Flt3-high from both Lyl1-null and WT mice on C57Bl/6 background

2012-06-13 | E-GEOD-38681 | biostudies-arrayexpress

Atxn1L is a novel regulator of Hematopoietic Stem Cell Quiescence

Project description:We compared gene expression differences in Atxn1L knockout vs wildtype HSCs KO allele described in Pub Med ID: 22014525 HSCs were purified as Lineage-negative, Sca-1+ c-Kit+ (LSK), CD150+ and Side population from both Atxn1L-null and WT mice on C57Bl/6 background

2013-02-28 | E-GEOD-44285 | biostudies-arrayexpress

Expression data from small intestinal Lin-c-Kit+Sca-1- cells and Lin-c-Kit-Sca-1- cells.

Project description:Small intestinal innate lymphoid cells (ILCs) are known to regulate intestinal epithelial cell homeostasis and to help prevent pathogenic bacterial infections, by producing IL-22. However, other functions of these cells and the lineal relationship between ILCs and lymphoid or myeloid cells have not been clear. We performed a global gene expression analysis to examine which genes are highly expressed by small intestinal ILCs (Lin-c-Kit+Sca-1- cells) compared with non-ILCs (Lin-c-Kit-Sca-1- cells). To examine the gene expression profiles of ILCs within the small intestinal lamina propria (LP), we isolated Lingeage (Lin)-c-Kit+Sca-1- cells [consisting of NKp46+ ILC22 (Lin-c-Kit+Sca-1-NKp46+ cells) and LTi-like ILC (Lin-c-Kit+Sca-1-CD4+ cells)] as the ILC population, and Lin-c-Kit-Sca-1- cells as the non-ILC population, from the small intestinal LP of 8 week-old mice by FACS, then compared the gene expression profiles between these two populations by microarray analysis.

2012-09-15 | E-GEOD-40882 | 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