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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human haematological neoplasias from blood samples and cell lines

ABSTRACT: Validation of a custom low density microarray. Gene expression differences were analysed in the following groups of blood samples and cell lines:
Two haematological neoplasia cell lines: U937 (promonocytic lymphoma) versus Jurkat (T leukemia).
Different types of haematological neoplasias: healthy donors, B-CLL patients, myeloid leukemia patients and U937 and Jurkat cell cultures samples.
Two hematological neoplasia with different origin (lymphoid for B-CLL and myeloid for the myeloid group).
Two types of myeloid leukemias (Acute myeloid leukemia and myelodisplastic syndrome).
B-CLL patients with different clinical behaviour.
Healthy donors and B-CLL patients.

Normalization was performed using two different methods, robust quantile normalization (QRN) and variance stabilization normalization (VSN), so that a set of statistcially significant probes found using both methods could be obtained.

ORGANISM(S): Homo sapiens

SUBMITTER: Patricia Álvarez

PROVIDER: E-TABM-87 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Transcriptional profiling of hematologic malignancies with a low-density DNA microarray.

Alvarez Patricia P Sáenz Pilar P Arteta David D Martínez Antonio A Pocoví Miguel M Simón Laureano L Giraldo Pilar P

Clinical chemistry 20061221 2

<h4>Background</h4>High-density microarrays are powerful tools for expression analysis of thousands of genes simultaneously; however, experience with low-density microarrays in gene expression studies has been limited.<h4>Methods</h4>We developed an optimized procedure for gene expression analysis based on a microarray containing 538 oligonucleotides and used this procedure to analyze neoplastic cell lines and whole-blood samples from healthy individuals and patients with different hematologic n ...[more]

PMID: 17185367

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