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Affymetrix SNP array data for 29 MCL cases

ABSTRACT: DNA from four 29 cases, 38 tumor samples (23 PB, 12 LN, 1 Tonsil, 1 colonic biopsy, 1 spleen) and 29 normal DNA from the same patients were analyzed with Affymetrix SNP 6.0 platform for copy number alterations study. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from blood samples, lymph nodes and other tissues like spleen, tonsil and colonic biopsy

ORGANISM(S): Homo sapiens

PROVIDER: GSE46969 | GEO | 2013/11/04

SECONDARY ACCESSION(S): PRJNA203212

REPOSITORIES: GEO

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Affymetrix SNP array data for 29 MCL cases

Project description:DNA from four 29 cases, 38 tumor samples (23 PB, 12 LN, 1 Tonsil, 1 colonic biopsy, 1 spleen) and 29 normal DNA from the same patients were analyzed with Affymetrix SNP 6.0 platform for copy number alterations study. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from blood samples, lymph nodes and other tissues like spleen, tonsil and colonic biopsy Copy number analysis of Affymetrix SNP 6.0 arrays was performed for 29 MCL cases samples and their respective matched non-tumor DNA, which were used as references for copy number inference.

2013-11-04 | E-GEOD-46969 | biostudies-arrayexpress

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Homo sapiens

Project description:Affymetrix SNP array data for 29 MCL cases

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Gene expression in normal tissues detected by newly developed chicken 44K microarray

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Gene expression in normal tissues detected by newly developed chicken 44K microarray

Project description:Chicken 60-mer oligonucleotide microarray, including 39854 cDNA and ESTs, entire Marek’s disease virus and avian influenza virus genomes, and 150 chicken microRNAs, was developed. Cecal tonsil, ileum, liver and spleen from 6 chickens were selected for hybridization to validate the microarray performance. There are 2886, 2886, 2660, 358, 3208 3355, and 3710 genes significantly expressed between liver and spleen, spleen and cecal tonsil, cecal tonsil and ileum, liver and cecal tonsil, liver and ileum, spleen and ileum at the P<10-7. Number of tissue specific genes for cecal tonsil, ileum, liver and spleen was 95, 71, 535, and 108, respectively with p < 10-7. More than 95% of spots had high SNR (>10). Keywords: characteristics of newly developed microarray using different normal tissue Loop design was carried on for all of tissue samples from the six chickens. Samples of four tissues from a chicken were used in each loop. The order of the tissues in each loop was changed so that all pairs of tissues were combined on an array with an equal number of times. Dye swap was used so that each tissue was measured an equal number of times with each dye. Data from 12 measurements for each tissue were collected, in total, 48 measurements from 24 arrays.

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Expression data from MALD1 and MCL cases

Project description:Patients with conventional mantle cell lymphoma (MCL) show an aggressive clinical behavior. However, cases fulfilling the WHO criteria for MCL, but that remain asymptomatic without treatment, have been reported. In an attempt to understand this heterogeneity, we have compared 17 typical cases of MCL with a homogeneous group of 13 asymptomatic individuals with monoclonal expansion of t(11;14)(q13;q32) cyclin D1-positive B-cells in peripheral blood (MALD1). None of these cases have received treatment (minimum follow-up of 26 months; median, 71 months). Gene expression analysis has shown enrichment of signatures associated to neoplastic behavior and cell proliferation in MCL but not in MALD1. In contrast, MALD1 was highly enriched in gene sets related to immune activation and inflammatory responses. CD38 and CD200 genes were differentially expressed between MCL and MALD1. The combined assessment of both proteins by flow cytometry allowed classifying 85% of MALD1 cases. In summary, we have shown for the first time that MALD1, in contrast to MCL, is characterized by immune activation and driven by inflammatory cues. We have also shown that CD38 and CD200 flow cytometry assessment is useful to discern most cases of MALD1 from MCL in the clinical setting. MALD1 should be identified and segregated from the current MCL category to avoid overdiagnosis and unnecessary treatment.

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