U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 11

1.

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
Platforms:
GPL570 GPL16791
54 Samples
Download data: CEL, FPKM_TRACKING
Series
Accession:
GSE108004
ID:
200108004
2.

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia [RNA-Seq]

(Submitter supplied) We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately. Finally, we identify SMARCA4 as a marker and driver of sensitivity to topoisomerase II inhibitors, mitoxantrone and etoposide, in AML by showing that cell lines transduced to have high SMARCA4 expression reveal dramatically increased sensitivity to these agents.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
24 Samples
Download data: FPKM_TRACKING
3.

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia [array]

(Submitter supplied) We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately. Finally, we identify SMARCA4 as a marker and driver of sensitivity to topoisomerase II inhibitors, mitoxantrone and etoposide, in AML by showing that cell lines transduced to have high SMARCA4 expression reveal dramatically increased sensitivity to these agents.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
30 Samples
Download data: CEL
Series
Accession:
GSE107465
ID:
200107465
4.

Gene expression profile of fresh human acute myeloid leukemia cells exposed ex vivo to AS602868

(Submitter supplied) To study modifications in gene expression profiles induced by the cytotoxic compound AS602868, we employed genome microarray expression profiling on treated and untreated samples from patients with acute myeloid leukemia.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4133
40 Samples
Download data: TXT
Series
Accession:
GSE19853
ID:
200019853
5.

Identification of molecular predictors of response in a study of tipifarnib treatment in relapsed and refractory AML

(Submitter supplied) Gene signatures were derived to separate responders from nonresponders by tipifarnib treatment. Keywords: response analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
58 Samples
Download data: PDF
Series
Accession:
GSE5122
ID:
200005122
6.

Expression data from a reversible dasatinib-resistant state in long-term dasatinib-treated c-KIT-mutated Kasumi-1 cell line

(Submitter supplied) Long-term treatment of Kasumi-1 cells at clinically attained doses of dasatinib led to decreased drug-sensitivity by means of IC50 values (relative to treatment-naive cells). Changes were paralled by profound alterations in c-KIT expression and cell signaling signatures. Upon brief discontinuation of dasatinib treatment, these alterations reversed and drug sensitivity was restored. We used gene expression profiling to examine reversal of dasatinib-resistance at the molecular/expression level.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5600
Platform:
GPL6244
9 Samples
Download data: CEL
Series
Accession:
GSE39073
ID:
200039073
7.
Full record GDS5600

Acute myeloid leukemia cell line Kasumi-1 response to dasatinib treatment and withdrawal

Analysis of dasatinib-sensitive, KITmut t(8;21) AML cell line Kasumi-1 treated with dasatinib for 12 wks giving rise to R48 cells. After 1 wk of dasatinib cessation, R48 cells give rise to PR48 cells. Results provide insight into molecular effects of long-term dasatinib treatment on t(8;21) AML.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 agent, 3 cell line, 3 protocol sets
Platform:
GPL6244
Series:
GSE39073
9 Samples
Download data: CEL
DataSet
Accession:
GDS5600
ID:
5600
8.

GEP associated with drug resistance in adult AML

(Submitter supplied) Acute myeloid leukemia (AML) patients are primarily resistant to induction chemotherapy in 20-50%. Previously it has been shown that resistance to the first cycle of induction chemotherapy is an independent prognostic factor. We investigated whether resistance to chemotherapy can be represented by gene-expression profiling, and which genes are associated with resistance. cDNA microarrays containing ~41.000 features were used to compare the gene-expression profile of AML blasts between 33 patients with good or poor response to induction chemotherapy. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL3405 GPL3344
35 Samples
Download data
Series
Accession:
GSE4137
ID:
200004137
9.

Gene expression profiles of MV-4-11 AML cells treated HDAC1/2 -selective inhibitor and Azacitidine

(Submitter supplied) Determine the differences in gene expression profiles of MV-4-11 AML cells treated with HDAC1/2-selective inhibition, azacitidine, or the combination of the two agents. Acute myeloid leukemia (AML) is a heterogeneous group of hematopoietic stem cell disorders characterized by defects in myeloid differentiation and increased proliferation of neoplastic hematopoietic precursor cells. Outcomes for patients with AML remain poor, highlighting the need for novel treatment options. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL15207
4 Samples
Download data: CEL
Series
Accession:
GSE84440
ID:
200084440
10.

Transcriptome analysis of normal and cancerous bladder tissues.

(Submitter supplied) The aim of this research was to explore activation/deactivation of signaling pathways during cancerogenesis.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL14951
12 Samples
Download data: TXT
Series
Accession:
GSE65635
ID:
200065635
11.

Genome-wide analysis of gene expression in cancerous and normal human bladder tissues

(Submitter supplied) Analysis of differential gene expression in urothelium cancer cells compared to healthy bladder cells. The goal of researh was to discover any differences in signaling pathways regulation between cancer and normal cells and searching potential molecular markers for early cancer diagnostics.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6884
12 Samples
Download data: TXT
Series
Accession:
GSE52519
ID:
200052519
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=22|qty=2|blobid=MCID_67323593f73b361c516687b6|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center