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Links from GEO DataSets

Items: 10

1.

Distinct Transcriptomic and Exomic Abnormalities within Myelodysplastic Syndrome Marrow Cells

(Submitter supplied) Prior studies using DNA microarray platforms have shown alterations of gene expression profiles (GEPs) of marrow cells in myelodysplastic syndromes (MDS). Using the increased sensitivity and accuracy of high-throughput RNA sequencing (RNA-Seq) for detecting and quantifying mRNA transcripts, our study has demonstrated novel significant differences in GEPs between MDS and normal CD34+ marrow cells with 41 genes identified as disease classifiers. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
67 Samples
Download data: TXT
2.

Differential Gene Expression Profiles in CD34+ Myelodysplastic Syndrome Marrow cells to Disease Subtype and Progression

(Submitter supplied) Microarray analysis with 40,000 cDNA gene chip arrays determined differential gene expression profiles (GEPs) in CD34+ marrow cells from myelodysplastic syndrome (MDS) patients compared to normal individuals. Using focused bioinformatics analyses, we found 1175 genes significantly differentially expressed by MDS vs Normal, requiring a minimum of 39 genes to separately classify these patients. Major GEP differences were demonstrated between Normal and MDS patients and between several MDS subgroups: (1) those whose disease remained stable (sMDS) and those who subsequently transformed (tMDS) to acute myeloid leukemia (AML); (2) between del(5q) and other MDS patients. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL9335
41 Samples
Download data: TXT
Series
Accession:
GSE18366
ID:
200018366
3.

TGFβ1-mediated functional inhibition of mesenchymal stromal cells in MDS and AML

(Submitter supplied) Mesenchymal stromal cells (MSC) are involved in the pathogenesis of myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML), but how they contribute to the expansion of malignant cells and hematopoietic failure is poorly understood. To further characterize the pathological phenotype we performed RNA sequencing of MSC from patients with MDS and AML. Data analysis revealed a specific molecular signature with a significant overlap of genes commonly deregulated in all MDS subtypes and in AML. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
12 Samples
Download data: TXT
4.

Long non-coding RNA HOXB-AS3 promotes myeloid cell proliferation and its higher expression is an adverse prognostic marker in myeloid malignancies [MDS_normal]

(Submitter supplied) The mononucleated cells were collected from the bone marrow samples of MDS patients and healthy controls. We compared the expressions between MDS patients and the healthy controls.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17586
320 Samples
Download data: CEL
Series
Accession:
GSE114869
ID:
200114869
5.

Long non-coding RNA HOXB-AS3 promotes myeloid cell proliferation and its higher expression is an adverse prognostic marker in myeloid malignancies [AML_normal]

(Submitter supplied) The mononucleated cells were collected from the bone marrow samples of AML patients and healthy controls. We compared the expressions between AML patients and the healthy controls.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17586
214 Samples
Download data: CEL
Series
Accession:
GSE114868
ID:
200114868
6.

HOXB-AS3 expressions promote cell proliferation

(Submitter supplied) We knock down HOXB-AS3 with shRNA in OCI/AML3 cell line to investigate the downstream pathways of HOXB-AS3 in the cell proliferation.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17586
4 Samples
Download data: CEL
Series
Accession:
GSE114823
ID:
200114823
7.

Gene expression analysis of bone marrow mesenchymal stromal cells from myelodysplastic syndrome (MDS) patients and normal controls

(Submitter supplied) Myelodysplastic syndrome (MDS) is a group of heterogeneous clonal stem cell disorders. We hypothesize that gene expression changes in the bone marrow (BM) microenvironment might play a fundamental role in the development and progression of MDS. The goal of the present study is to investigate the differences in gene expression profiles of BM mesenchymal stromal cells (MSCs) between MDS patients and normal individuals, as well as between MDS subtypes. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5622
Platform:
GPL10558
14 Samples
Download data: TXT
Series
Accession:
GSE61853
ID:
200061853
8.
Full record GDS5622

Myelodysplastic syndrome disorder: bone marrow mesenchymal stromal cells

Analysis of bone marrow (BM) mesenchymal stromal cells from adult patients representing MDS subtypes RCMD (refractory cytopenia with multilineage dysplasia) and RAEB (refractory anemia with excess blasts). Results provide insight into molecular changes in the BM microenvironment contributing to MDS.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 4 disease state sets
Platform:
GPL10558
Series:
GSE61853
14 Samples
Download data
9.

Altered Hematopoietic Cell Gene Expression Precedes Development of Therapy-Related Myelodysplasia and Identifies Patients at Risk

(Submitter supplied) Therapy-related myelodysplasia or acute myeloid leukemia (t-MDS/AML) is a lethal complication of cancer treatment. Although t-MDS/AML development is associated with known genotoxic exposures, its pathogenesis is not well understood and methods to predict risk of development of t-MDS/AML in individual cancer survivors are not available. We performed microarray analysis of gene expression in samples from patients who developed t-MDS/AML after autologous hematopoietic cell transplantation (aHCT) for Hodgkin lymphoma (HL) or non-Hodgkin lymphoma (NHL) and controls that did not develop t-MDS/AML after aHCT. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
124 Samples
Download data: CEL
Series
Accession:
GSE23025
ID:
200023025
10.

Single-cell RNA-seq reveals AML hierarchies relevant to disease progression and immunity

(Submitter supplied) Acute myeloid leukemia (AML) is a heterogeneous disease that resides within a complex microenvironment, complicating efforts to understand how different cell types contribute to disease progression. We combined single-cell RNA sequencing and genotyping to profile 38,410 cells from 40 bone marrow aspirates, including 16 AML patients and five healthy donors. We then applied a machine learning classifier to distinguish a spectrum of malignant cell types whose abundances varied between patients and between subclones in the same tumor. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Other
Platforms:
GPL24106 GPL18573
83 Samples
Download data: TXT
Series
Accession:
GSE116256
ID:
200116256
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