Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profile at single cell level of LMPP (lymphoid-primed multipotent progenitor) cells from CP-CML and BC-CML patients.

ABSTRACT: LMPPs comprise of heterogeneous populations which are progenitors of lymphocytes and myeloid cells. We aim to identify the difference of distribution of the diverse populations from CP-CML versus BC-CML patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE276130 | GEO | 2024/09/05

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression profile at single cell level of LMPP (lymphoid-primed multipotent progenitor) cells from CP-CML and BC-CML patients.

Project description:Gene expression profile at single cell level of LMPP (lymphoid-primed multipotent progenitor) cells from CP-CML and BC-CML patients.

| PRJNA1154963 | ENA

Gene expression profile at single cell level of Lin-Sca-1+c-Kit+ cells (LSKs) from miR-142 WT CML mice (CP LSC) and of LSKs from miR-142 KO CML mice (BC LSC). [scRNA-Seq]

Project description:To assess how the miR-142 deficit affected the BM LSC-enriched LSK landscape, we conducted a single cell RNA-seq analysis of BM miR-142+/+ BCR-ABL (CP CML) and miR-142−/− BCR-ABL (BC CML) LSKs which were harvested from the respective mice, 2 weeks after BCR-ABL induction.

2022-11-02 | GSE217076 | GEO

Gene profiling changes in BM Lin-Sca-1+c-Kit+ cells (LSKs) from miR-142-/- (KO), miR-142+/+ (WT), miR-142-/- BCR-ABL (BC CML) and miR-142+/+ BCR-ABL (CP CML) mice. [bulk RNA-Seq]

Project description:To gain insight into how miR-142 deficit drives a BC-like transformation, we performed RNA-seq on bone marrow (BM) Lin-Sca-1+c-Kit+ cells (LSKs) harvested from normal miR-142+/+ (wt) and miR-142−/− (miR-142 KO) mice, as well as from leukemic miR-142+/+ BCR-ABL (CP CML) and miR-142−/− BCR-ABL (BC CML) mice, two weeks after BCR-ABL induction. We then performed gene expression profiling analysis using data obtained from RNA-seq of 24 samples of LSK cells from 4 mouse strains (KO vs WT, KO CML vs CML).

2022-11-01 | GSE216794 | GEO

Comparing gene expression in stem/progenitor cells from patients with CML in chronic, accelerated and blastic phase with normal volunteers

Project description:A comparison of global gene expression between rigorously defined stem and progenitor cells from patients with chronic myeloid leukaemia (CML) in chronic (CP), accelerated (AP) and blastic (BC) phase and similar populations isolated from normal volunteers. Cryopreserved CD34+ enriched cell populations obtained from patients with CML in CP, AP or BC at diagnosis prior to treatment -- or from normal volunteers -- were thawed and flow sorted into rigorously defined sub-populations (HSC, MPP, CMP, GMP and MEP -- using surface phenotype as described below). Total RNA was obtained and global gene expression measured following hybridisation to Affymetrix HuGene-1_0-st-v1 gene-chips. In total, 3 normal patient samples were compared with 6 CP, 4 AP and 2 BC samples. HSC, CMP, GMP and MEP populations were obtained from all specimens, MPP populations were obtained from normal, AP and BC specimens but not CP specimens.

2013-09-06 | E-GEOD-47927 | biostudies-arrayexpress

RNA-seq of CD34+ CML CP or healthy donor cells

Project description:RNA-seq of CD34+ CML CP or healthy donor cells

| PRJEB72797 | ENA

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

Co-Transplantation of Barcoded Lymphoid-Primed Multipotent (LMPP) and Common Lymphocyte (CLP) Progenitors Reveals a Major Contribution of LMPP to the Lymphoid Lineage.

Project description:T cells have the potential to maintain immunological memory and self-tolerance by recognizing antigens from pathogens or tumors. In pathological situations, failure to generate de novo T cells causes immunodeficiency resulting in acute infections and complications. Hematopoietic stem cells (HSC) transplantation constitutes a valuable option to restore proper immune function. However, delayed T cell reconstitution is observed compared to other lineages. To overcome this difficulty, we developed a new approach to identify populations with efficient lymphoid reconstitution properties. To this end, we use a DNA barcoding strategy based on the insertion into a cell chromosome of a lentivirus (LV) carrying a non-coding DNA fragment named barcode (BC). These will segregate through cell divisions and be present in cells' progeny. The remarkable characteristic of the method is that different cell types can be tracked simultaneously in the same mouse. Thus, we in vivo barcoded LMPP and CLP progenitors to test their ability to reconstitute the lymphoid lineage. Barcoded progenitors were co-grafted in immuno-compromised mice and their fate analyzed by evaluating the BC composition in transplanted mice. The results highlight the predominant role of LMPP progenitors for lymphoid generation and reveal valuable novel insights to be reconsidered in clinical transplantation assays.

| S-EPMC10002536 | biostudies-literature

Comparing gene expression in stem/progenitor cells from patients with CML in chronic, accelerated and blastic phase with normal volunteers

2013-09-06 | GSE47927 | GEO

RNA-seq of CD34+ CML CP cells transduced with pL-CELF2

Project description:RNA-seq of CD34+ CML CP cells transduced with pL-CELF2

| PRJEB72798 | ENA

Graft-versus-leukemia (GVL) against mouse blast-crisis chronic myelogenous leukemia (BC-CML) and chronic-phase chronic myelogenous leukemia (CP-CML): shared mechanisms of T cell killing, but programmed death ligands render CP-CML and not BC-CML GVL resistant.

Project description:Graft-versus-leukemia (GVL) against chronic-phase chronic myelogenous leukemia (CP-CML) is potent, but it is less efficacious against acute leukemias and blast-crisis chronic myelogenous leukemia (BC-CML). The mechanisms underlying GVL resistance are unknown. Previously, we found that alloreactive T cell targeting of GVL-sensitive bcr-abl-induced mouse CP-CML (mCP-CML) required TCR-MHC interactions and that multiple and redundant killing mechanisms were in play. To better understand why BC-CML is resistant to GVL, we performed a comprehensive analysis of GVL against mouse BC-CML (mBC-CML) induced by the retroviral transfer of the bcr-abl and NUP98/HOXA9 fusion cDNAs. Like human BC-CML, mBC-CML was GVL resistant, and this was not due to accelerated kinetics or a greater leukemia burden. To study T cell recognition and killing mechanisms, we generated a panel of gene-deficient leukemias by transducing bone marrow from gene-deficient mice. T cell target recognition absolutely required that mBC-CML cells express MHC molecules. GVL against both mCP-CML and mBC-CML required leukemia expression of ICAM-1. We hypothesized that mBC-CML would be resistant to some of the killing mechanisms sufficient to eliminate mCP-CML, but we found instead that the same mechanisms were effective against both types of leukemia, because GVL was similar against wild-type or mBC-CML genetically lacking Fas, TRAIL-R, Fas/TRAIL-R, or TNFR1/R2 or when donor T cells were perforin(-/-). However, mCP-CML, but not mBC-CML, relied on expression of programmed death-1 ligands 1 and 2 (PD-L1/L2) to resist T cell killing, because only GVL against mCP-CML was augmented when leukemias lacked PD-L1/L2. Thus, mBC-CML cells have cell-intrinsic mechanisms, distinct from mCP-CML cells, which protect them from T cell killing.

| S-EPMC3150287 | biostudies-literature

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