Similar studies for GEO DataSets (Select 200007757) - GEO DataSets

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Items: 20

Select item 2000077571.

Robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures.

(Submitter supplied) Microarray gene expression (MAGE) signatures allow insights into the transcriptional processes of leukemias and may evolve as a molecular diagnostic test. Introduction of MAGE into clinical practice of leukemia diagnosis will require comprehensive assessment of variation due to the methodologies. For the first time, we present a study focused on analyzing the impact of different RNA preparation procedures on gene expression data for different subtypes of pediatric acute leukemias. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS2819
Platform:: GPL570
99 Samples

Download data: CEL, CHP

Series

Accession:: GSE7757

ID:: 200007757

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Select item 28192.

Leukemic white blood cells and various RNA preparation protocols

Analysis of RNA samples prepared from leukemic white blood cells using 3 different protocols. Samples obtained from 27 pediatric patients with various subtypes of acute leukemia. Results provide insight into the impact of RNA preparation methods on the variation in gene expression data.

Organism:: Homo sapiens

Type:: Expression profiling by array, count, 9 disease state, 27 individual, 3 protocol sets

Platform:: GPL570
Series:: GSE7757
99 Samples

Download data: CEL, CHP

DataSet

Accession:: GDS2819

ID:: 2819

PubMed Full text in PMC Similar studies GEO Profiles Analyze DataSet

Select item 2000071863.

Microarray-based classification of a consecutive series of 121 childhood acute leukemias

(Submitter supplied) Gene expression analyses, were performed on 121 consecutive childhood leukemias (87 B-lineage acute lymphoblastic leukemias (ALLs), 11 T-cell ALLs, and 23 acute myeloid leukemias; AMLs), investigated during an 8-year period at a single center. The supervised learning algorithm k-nearest neighbor (k-NN) was utilized to build gene expression predictors that could classify the ALLs/AMLs according to clinically important subtypes with high accuracy. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL4861
127 Samples

Download data: TXT

Series

Accession:: GSE7186

ID:: 200007186

Select item 2000132044.

Microarray Innovations in LEukemia (MILE) study

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platforms:: GPL7473 GPL570
3248 Samples

Download data: CEL

Series

Accession:: GSE13204

ID:: 200013204

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Select item 2000131645.

Microarray Innovations in LEukemia (MILE) study: Stage 2 data

(Submitter supplied) An International Multi-Center Study to Define the Clinical Utility of Microarray–Based Gene Expression Profiling in the Diagnosis and Sub-classification of Leukemia (MILE Study) Established in 2005, the MILE (Microarray Innovations in LEukemia) study research program included 11 participating centers in three continents. This cohort of n=1,152 samples represents data on the retrospective whole-genome analysis phase. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL7473
1152 Samples

Download data: CEL

Series

Accession:: GSE13164

ID:: 200013164

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Select item 2000131596.

Microarray Innovations in LEukemia (MILE) study: Stage 1 data

(Submitter supplied) An International Multi-Center Study to Define the Clinical Utility of Microarray–Based Gene Expression Profiling in the Diagnosis and Sub-classification of Leukemia (MILE Study) Established in 2005, the MILE (Microarray Innovations in LEukemia) study research program included 11 participating centers in three continents. This cohort of n=2,096 samples represents data on the retrospective whole-genome analysis phase. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
2096 Samples

Download data: CEL

Series

Accession:: GSE13159

ID:: 200013159

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Select item 2000178557.

Expression data from pediatric AML patients

(Submitter supplied) Pediatric acute myeloid leukemia (AML) is a heterogeneous disease characterized by non-random genetic aberrations related to outcome. Detecting these aberrations however still lead to failures or false negative results. Therefore, we focused on the potential of gene expression profiles (GEP) to classify pediatric AML. Gene expression microarray data of 237 children with AML were generated and cases were split into a discovery cohort (n=157) and an independent validation cohort (n=80). more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
237 Samples

Download data: CEL

Series

Accession:: GSE17855

ID:: 200017855

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Select item 2000268788.

Digital gene and expression profiling of primary acute lymphoblastic leukemia (ALL) cells

(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 GPL10999 GPL9115
48 Samples

Download data: CEL

Series

Accession:: GSE26878

ID:: 200026878

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Select item 2000268659.

Gene expression profiling of primary acute lymphoblastic leukemia (ALL) cells

(Submitter supplied) The aim of this study was to benchmark digital gene expression (DGE) profiling by massively parallel sequencing against the most commonly used method for gene expression analysis. We compared the DGE levels to expression levels from Affymetrix arrays. Data from Affymetrix Human Genome U133 plus 2.0 GeneChips was available for 12 of the 21 RNA samples from ALL patient cells analyzed by DGE.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
12 Samples

Download data: CEL

Series

Accession:: GSE26865

ID:: 200026865

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Select item 20002653010.

Digital gene expression profiling of primary acute lymphoblastic leukemia cells

(Submitter supplied) We determined the genome-wide digital gene expression (DGE) profiles of primary acute lymphoblastic leukemia (ALL) cells from 28 patients and fractionated blood cells from healthy blood donors taking advantage of “second generation” sequencing technology. The patients included in the study represent distinct subtypes of B-cell precursor (BCP) ALL and T-cell lineage ALL (T-ALL) and the controls are fractionated CD19+ and CD3+ cells. more...

Organism:: Homo sapiens

Type:: Expression profiling by high throughput sequencing

Platforms:: GPL10999 GPL9115
36 Samples

Download data: TXT

Series

Accession:: GSE26530

ID:: 200026530

PubMed Full text in PMC Similar studies SRA Run Selector

Select item 20001543411.

Gene expression profiling in AML with normal karyotype: A multicenter study investigating molecular markers in 251 cases

(Submitter supplied) Acute myeloid leukemia (AML) is a heterogeneous disease and AML with normal karyotype (AML-NK) is categorized as an intermediate-risk group. Over the past years molecular analyses successfully identified biomarkers that will further allow to dissecting clinically meaningful subgroups in this disease. Thus far, somatic mutations were identified which elucidate the disturbance of cellular growth, proliferation, and differentiation processes in hematopoietic progenitor cells. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
251 Samples

Download data: CEL

Series

Accession:: GSE15434

ID:: 200015434

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Select item 20000877912.

Molecular profiling of myeloid leukemia cell lines

(Submitter supplied) Cell lines. The myeloid cell lines CMK, HEL, HL-60, K-562, KASUMI-1, KG-1, LAMA-84, M-07e, MONO-MAC-1, MV4-11, NB-4, OCI-AML2, OCI-AML5, SIG-M5, THP-1, and UT-7 were obtained from the DSMZ in Braunschweig, Germany (http://www.dsmz.de). The cell line ME-1 was kindly provided by Dr. Ikuya Sakai, Ehime University, Japan. Cell lines were cultured under standard conditions in RPMI 1640 containing 10% FCS, 2 mM L-glutamine, 100 units/ml penicillin and 100 units/ml streptomycin. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platforms:: GPL3334 GPL3523 GPL3320
17 Samples

Download data

Series

Accession:: GSE8779

ID:: 200008779

Select item 20000325513.

Gene Expression Profiles with Common Translocations in Acute Myeloid Leukemia (AML) using SAGE

(Submitter supplied) SAGE was used to profile gene expression in leukemic myeloid progenitor cells of AML patients with t(8;21), t(15;17), t(9;11) and inv(16). Keywords: SAGE analysis of gene expression in leukemic myeloid progenitor cells isolated from bone marrow

Organism:: Homo sapiens

Type:: Expression profiling by SAGE

Platform:: GPL4
22 Samples

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Series

Accession:: GSE3255

ID:: 200003255

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Select item 20003482314.

Routine use of microarray-based gene expression profiling to identify patients with low cytogenetic risk acute myeloid leukemia: accurate results can be obtained even with suboptimal samples

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6947
206 Samples

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Series

Accession:: GSE34823

ID:: 200034823

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Select item 20003471415.

Routine use of microarray-based gene expression profiling to identify patients with low cytogenetic risk acute myeloid leukemia: accurate results can be obtained even with suboptimal samples. (test samples)

(Submitter supplied) Background: Gene expression profiling has shown its ability to identify with high accuracy low cytogenetic risk acute myeloid leukemia such as acute promyelocytic leukemia and leukemias with t(8;21) or inv(16). The aim of this gene expression profiling study was to evaluate to what extent suboptimal samples with low leukemic blast load (range, 2-59%) and/or poor quality control criteria could also be correctly identified. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6947
117 Samples

Download data

Series

Accession:: GSE34714

ID:: 200034714

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Select item 20003457716.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6947
89 Samples

Download data: TXT

Series

Accession:: GSE34577

ID:: 200034577

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Select item 20004096717.

Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Genome variation profiling by genome tiling array; Expression profiling by array

Platforms:: GPL16070 GPL570
1048 Samples

Download data: CEL, GPR

Series

Accession:: GSE40967

ID:: 200040967

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Select item 20004096618.

Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [CGH]

(Submitter supplied) From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification of mRNA expression profiles (Affymetrix U133Plus2) of a large series of 443 CC and to validate it on an independent serie of 123 CC and 906 public dataset. We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. more...

Organism:: Homo sapiens

Type:: Genome variation profiling by genome tiling array

Platform:: GPL16070
463 Samples

Download data: GPR, TXT

Series

Accession:: GSE40966

ID:: 200040966

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Select item 20003958219.

Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]

(Submitter supplied) From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification of mRNA expression profiles (Affymetrix U133Plus2) of a large series of 443 CC and 19 non-tumoral colorectal mucosas, and to validate it on an independent serie of 123 CC and 906 public dataset. We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. more...