Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression profiles of monocytes derived from chronic lymphocytic leukemia patients and normal controls

ABSTRACT: We collected monocytes from peripheral blood of 5 chronic lymphocytic leukemia (CLL) patients and 5 healthy donors and we performed gene expression analysis by microarray. Comparison of gene expression profiles (GEPs) between CLL-derived and normal monocytes was used to discover molecular abnormalities in this nonmalignant immune cellular population in leukemia-bearing patients. Although analysed cells were not part of the malignant clone, in unsupervised hierarchical clustering analysis, GEPs of normal monocytes were clearly distinguishable from those of monocytes obtained from CLL patients. Supervised analysis identified 65 genes significantly up-regulated and 48 genes down-regulated in CLL monocytes compared with monocytes from normal controls (FC=2, p<0.05). Modification of gene expression profile would imply impairment of phagocytosis and production of immunosuppressive mediators in CLL-derived monocytes. The alterations described in our study further contribute to characterize the complexity of factors potentially involved in acquired immune deficiency of CLL patients. Large-scale gene expression profiling (GEP) was performed on total RNA extracted from purified CD14+ monocytes (RNeasy Mini kit Plus, QIAGEN, Valencia, CA, USA) isolated from 5 individual CLL patients and 5 healthy controls by hybridization on 4X44K Whole Human Genome Microarray (Agilent Technologies, Palo alto, CA). Fluorescence data were analysed with Feature Extraction Software v.10.5 (Agilent Technologies) an QC Chart tool v.1.3. Agglomerative two-dimensional clustering analysis and supervised analyses based on t-test were performed using Gene Spring GX (Agilent) software. Genes were defined as differentially expressed between groups at a significant level of p<0.05 and with a fold change cut off Â± 2 in all the pair wise comparisons.

ORGANISM(S): Homo sapiens

SUBMITTER: Rossana Maffei

PROVIDER: E-GEOD-35179 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Chronic lymphocytic leukemic B cells (CLL) reside in close contact with activated endothelial cells (EC) in infiltrated tissues. Here, we investigated the interactions between EC and CLL cells, highlighting molecular networks involved in this cellular crosstalk. We co-cultured purified CLL cells on HUVEC monolayer (HC) or in medium alone. We found that EC protected CLL from spontaneous apoptosis. A 2.2-fold increase in relative viability in IGHV mutated CLL and a 6.1-fold increase in IGHV unmutated CLL was detected in co-culture. Moreover, the endothelial cell layer decreased the in vitro sensitivity of CLL cells to Fludarabine-induced apoptosis. Physical contact with EC is essential for protection to apoptosis. The insertion of a microporous membrane or blocking adhesion with anti-CD106 and anti-CD18 antibodies determined the complete abrogation of apoptosis protection. On the other hand, a reduction of apoptosis was measured in CLL cells cultured with conditioned medium collected from HC, implying that survival is partially mediated by soluble factors. Overall 1944 genes were modulated in CLL by co-culture. The EC contact seem to determine on CLL a kind of microenvironmental-driven angiogenic switch, improve the secretion of cytokines regulating tissue elements such as stromal cells and macrophages and also increase anti-apoptotic molecules. Our study support the line of evidence indicating endothelial cells as a major player in the CLL-infiltrated microenvironments are able to create a vicious cycle of cooperation that strongly sustains leukemic cell survival, protects CLL from drug-induced apoptosis and widely modifies CLL phenotype. Large-scale gene expression profiling (GEP) was performed on total RNA extracted from purified CD19+ cells isolated from 9 individual CLL patients which were separated in 3 experimental subsets: (i) freshly isolated cells (CLL baseline), (ii) CLL cells cultured in medium alone for 48 hours (CLL only) and (iii) CLL cells co-cultured 48h on HUVEC layer (CLL HC).

Project description:B-cell chronic lymphocytic leukemia (B-CLL) is characterized by a highly variable clinical course that reflects its heterogeneous genomic pattern. To better define molecular subtypes of the disease, we performed SNP and gene expression profiling microarray analyses in a panel of early stage (Binet A) patients. A clustering analysis of genomic profiles identified four significant groups mainly driven by del(13)(q14) and trisomy 12. Notably, patients with del(13)(q14) were grouped in two separate clusters based on the presence of a biallelic loss and the extension of the deletion. The shorter monoallelic deleted 13q14 region was found to be 635 kb in length, not encompassing the mir-15a/16-1 locus. Interestingly, the mir-15a and mir-16 expression was found to be significantly down-regulated only in patients with biallelic loss. Furthermore, a multiclass supervised analysis identified a different transcriptional signatures in the two genomic subgroups with del(13)(q14). Finally, an integrative approach identified 93 transcripts, mainly mapped to chromosome 12 and 13q12-q14.3, whose expression was significantly correlated with the DNA copy number. Overall, our data further support the notion that transcription deregulation in B-CLL could be mostly due to a gene dosage effect and underscore the presence of two distinct molecular types of 13q14 deleted patients with potential clinical relevance. Transcriptional analysis of 60 B-CLL patients, and genotyping analysis of 100 B-CLL patients, in early stage disease (Binet A). This series of microarray experiments contains the gene expression profiles of purified B-cell chronic lymphocytic leukemia (B-CLL) cells obtained from 60 newly diagnosed patients (Binet stage A). Peripheral blood mononuclear cells from B-CLL patients were isolated by Ficoll-Hypaque density-gradient centrifugation and the proportion of CD5/CD19/CD23 triple positive B cells in the suspension was determined by direct immunofluorescence performed using a FACS-sort flow cytometer with antibodies to: CD19 FITC/PE, CD23 PE and CD5 Cy-Chrome. If B-CLL cells were less than 90%, T cells, NK cells and monocytes were removed by negative selection using CD3, CD56, CD16, and CD14 monoclonal antibody treatment followed by magnetic beads. 3 micrograms of total RNA was processed and, in accordance with the manufacturer's protocols, 15 micrograms of fragmented biotin-labelled cRNA were hybridized on GeneChip Human Genome U133A Arrays (Affymetrix Inc.). The arrays were scanned using the GeneChip Scanner 3000 7G. The images were acquired using Affymetrix GeneChip Operating Software (GCOS version 1.4) and the probe level data converted to expression values using the Bioconductor function for the Robust Multi-Array average (RMA) procedure (Irizarry et al, 2003), in which perfect match intensities are background adjusted and quantile-quantile normalised. This series of microarray experiments contains the genome-wide profiles of purified B-cell chronic lymphocytic leukemia (B-CLL) cells obtained from 100 newly diagnosed patients (Binet stage A). Peripheral blood mononuclear cells from B-CLL patients were isolated by Ficoll-Hypaque density-gradient centrifugation and the proportion of CD5/CD19/CD23 triple-positive B cells in the suspension was determined by direct immunofluorescence performed using a FACS-sort flow cytometer with antibodies to: CD19 FITC/PE, CD23 PE and CD5 Cy-Chrome. If B-CLL cells were less than 90%, T cells, NK cells and monocytes were removed by negative selection using CD3, CD56, CD16, and CD14 monoclonal antibody treatment followed by magnetic beads. 250 nanograms of genomic DNA was processed and, in accordance with the manufacturer's protocols, 90 micrograms of fragmented biotin-labeled DNA were hybridized on GeneChip Human Mapping 250K NspI Arrays (Affymetrix Inc.). The arrays were scanned using the GeneChip Scanner 3000 7G. The images were acquired using Affymetrix GeneChip Operating Software (GCOS version 1.4). The raw data for individual SNPs were extracted from CEL files and converted into signal intensities using GTYPE 4.1 and Affymetrix Copy Number Analysis Tool (CNAT 4.0.1) softwares using the Hidden Markov Model algorithm with a genomic smoothing window set to 0. After the pre-processing, piecewise constant estimates of the underlying local DNA copy number (CN) variation was calculated using the DNAcopy Bioconductor package, which looks for optimal breakpoints using circular binary segmentation (CBS).

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Gene expression profiles of monocytes derived from chronic lymphocytic leukemia patients and normal controls

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