Analysis of chronic lymphocytic leukemia CLL cells and normal B cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE18026 | GEO | 2009/09/10
SECONDARY ACCESSION(S): PRJNA119259
REPOSITORIES: GEO
Similar Datasets
Project description:We have analyzed 2 normal B cells isolated from peripheral blood and 5 CLL specimens with affy 133A microarray for expression. We used microarrays to analyze gene expression in normal B cells and CLL cells. Hybridize RNA to the chip for the above mentioned total 5 samples
2009-09-10 | E-GEOD-18026 | biostudies-arrayexpress
Project description:Background: To determine differentially expressed and spliced RNA transcripts in chronic lymphocytic leukemia specimens a high throughput RNA-sequencing (HTS RNA-seq) analysis was performed. Methods: Ten CLL specimens and five normal peripheral blood CD19+ B cells were analyzed by HTS RNA-seq. The library preparation was performed with Illumina TrueSeq RNA kit and analyzed by Illumina HiSeq 2000 sequencing system. Results: An average of 48.5 million reads for B cells, and 50.6 million reads for CLL specimens were obtained with 10396 and 10448 assembled transcripts for normal B cells and primary CLL specimens respectively. With the Cuffdiff analysis, 2091 differentially expressed genes (DEG) between B cells and CLL specimens based on FPKM (fragments per kilobase of transcript per million reads and false discovery rate, FDR q<0.05, fold change >2) were identified. Expression of selected DEGs (n=32) with up regulated and down regulated expression in CLL from RNA-seq data were also analyzed by qRT-PCR in a test cohort of CLL specimens. Even though there was a variation in fold expression of DEG genes between RNA-seq and qRT-PCR; more than 90% of analyzed genes were validated by qRT-PCR analysis. Analysis of RNA-seq data for splicing alterations in CLL and B cells was performed by Multivariate Analysis of Transcript Splicing (MATS analysis). Skipped exon was the most frequent splicing alteration in CLL specimens with 128 significant events (P-value <0.05, minimum inclusion level difference >0.1). Conclusion: The RNA-seq analysis of CLL specimens identifies novel DEG and alternatively spliced genes that are potential prognostic markers and therapeutic targets. High level of validation by qRT-PCR for a number of DEG genes supports the accuracy of this analysis. Global comparison of transcriptomes of B cells, IGVH non-mutated CLL (U-CLL) and mutated CLL specimens (M-CLL) with multidimensional scaling analysis was able to segregate CLL and B cell transcriptomes but the M-CLL and U-CLL transcriptomes were indistinguishable. The analysis of HTS RNA-seq data to identify alternative splicing events and other genetic abnormalities specific to CLL is an added advantage of RNA-seq that is not feasible with other genome wide analysis.
2015-07-13 | GSE70830 | GEO
Project description:miRNA expression profiles of CLL cells and normal B cells (NBC) treated for 18 hr with 10 ng/ml IL-4, compared with culture with nothing (Ctrl) and the basal (Pre) samples.
2015-06-15 | GSE62137 | GEO
Project description:Background: To determine differentially expressed and spliced RNA transcripts in chronic lymphocytic leukemia specimens a high throughput RNA-sequencing (HTS RNA-seq) analysis was performed. Methods: Ten CLL specimens and five normal peripheral blood CD19+ B cells were analyzed by HTS RNA-seq. The library preparation was performed with Illumina TrueSeq RNA kit and analyzed by Illumina HiSeq 2000 sequencing system. Results: An average of 48.5 million reads for B cells, and 50.6 million reads for CLL specimens were obtained with 10396 and 10448 assembled transcripts for normal B cells and primary CLL specimens respectively. With the Cuffdiff analysis, 2091 differentially expressed genes (DEG) between B cells and CLL specimens based on FPKM (fragments per kilobase of transcript per million reads and false discovery rate, FDR q<0.05, fold change >2) were identified. Expression of selected DEGs (n=32) with up regulated and down regulated expression in CLL from RNA-seq data were also analyzed by qRT-PCR in a test cohort of CLL specimens. Even though there was a variation in fold expression of DEG genes between RNA-seq and qRT-PCR; more than 90% of analyzed genes were validated by qRT-PCR analysis. Analysis of RNA-seq data for splicing alterations in CLL and B cells was performed by Multivariate Analysis of Transcript Splicing (MATS analysis). Skipped exon was the most frequent splicing alteration in CLL specimens with 128 significant events (P-value <0.05, minimum inclusion level difference >0.1). Conclusion: The RNA-seq analysis of CLL specimens identifies novel DEG and alternatively spliced genes that are potential prognostic markers and therapeutic targets. High level of validation by qRT-PCR for a number of DEG genes supports the accuracy of this analysis. Global comparison of transcriptomes of B cells, IGVH non-mutated CLL (U-CLL) and mutated CLL specimens (M-CLL) with multidimensional scaling analysis was able to segregate CLL and B cell transcriptomes but the M-CLL and U-CLL transcriptomes were indistinguishable. The analysis of HTS RNA-seq data to identify alternative splicing events and other genetic abnormalities specific to CLL is an added advantage of RNA-seq that is not feasible with other genome wide analysis. Ten CLL specimens and five normal peripheral blood CD19+ B cells were analyzed by HTS RNA-seq. The library preparation was performed with Illumina TrueSeq RNA kit and analyzed by Illumina HiSeq 2000 sequencing system.
2015-07-13 | E-GEOD-70830 | biostudies-arrayexpress
Project description:Many functional consequences of mutations on tumor phenotypes in chronic lymphocytic leukemia (CLL) are only partially known. This is in part due to a scarcity of information on the proteome of CLL. We profiled the proteome of 117 CLL samples with data-independent acquisition mass spectrometry (DIA-MS) and integrated the results with genomic, transcriptomic, functional data and clinical outcome. We found trisomy 12 and IGHV to be major determinants of proteome variation in CLL (1055 and 542 differential proteins FDR of 5%). Trisomy 12 was associated with limited protein abundance buffering. Protein complex analyses detected functional units involved in BCR/PI3K/AKT signaling in CLL with trisomy 12. We associated protein expression with response to anticancer drugs, and STAT2 protein expression emerged as a biomarker for the prediction of response to kinase inhibitors including BTK and MEK inhibitors. STAT2 protein levels were determined by gene dosage (trisomy 12), stabilization in a protein complex and linked to interferon signaling in CLL. This study highlights the emerging importance of protein abundance profiling in CLL biology.
2021-09-24 | PXD022198 | Pride
Project description:Wnt pathway is dysregulated in CLL-We characterized Wnt pathway gene expression in normal B and CLL-B cells and identified Wnt targets in normal B and CLL-B cells through this data set. In this dataset, we included normal B cells and CLL-B cells for Wnt pathway gene expression. This leads to the identification of 62 Wnt pathway components which are differnetially expressed between normal and CLl-B cells. We also included normal B cells and CLL-B cells with or without Wnt3a treatment and identified 468 and 676 Wnt regulated genes in normal and CLL B cells, respectively.
2013-08-29 | GSE31048 | GEO
Project description:miRNA expression profiles of CLL cells and normal B cells (NBC) treated for 18 hr with 10 ng/ml IL-4, compared with culture with nothing (Ctrl) and the basal (Pre) samples. 16 CLL patients (8 Pre samples, 15 Ctrl samples, 15 IL-4 samples), 3 NBC (3 Ctrl samples, 3 IL-4 samples)
2015-06-15 | E-GEOD-62137 | biostudies-arrayexpress
Project description:In this experiment we in vitro activated CLL cells on a layer of fibroblasts expressing CD40L (3T40) or nothing (3T3) for 48 hours. After the 48 hours, cells were taken off the fibroblasts and sorted for viable CD19+ cells. Then we performed RNA sequencing.
2022-05-20 | GSE201341 | GEO
Project description:NOTCH1 is mutationally activated in ~15% of cases of chronic lymphocytic leukaemia (CLL), but its role in B-cell development and leukemogenesis is not known. Here, we report that the active intracellular portion of NOTCH1 (ICN1) is detectable in ~50% of peripheral blood CLL cases lacking gene mutations. We identify a ‘NOTCH1 CLL gene expression signature’ in CLL cells, and show that this signature is significantly enriched in primary CLL cases expressing ICN1, independent of NOTCH1 mutation. NOTCH1 target genes include key regulators of B-cell proliferation, survival and signal transduction physiology. In particular, we show that MYC is a direct target of NOTCH1 via B-cell specific distal regulatory elements, thus implicating this oncogene in the pathogenesis of the disease.
2017-03-24 | GSE92701 | GEO
Project description: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.
2013-01-10 | GSE35179 | GEO