2013
DOI: 10.1101/gr.152132.112
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Transcriptome characterization by RNA sequencing identifies a major molecular and clinical subdivision in chronic lymphocytic leukemia

Abstract: Chronic lymphocytic leukemia (CLL) has heterogeneous clinical and biological behavior. Whole-genome and -exome sequencing has contributed to the characterization of the mutational spectrum of the disease, but the underlying transcriptional profile is still poorly understood. We have performed deep RNA sequencing in different subpopulations of normal B-lymphocytes and CLL cells from a cohort of 98 patients, and characterized the CLL transcriptional landscape with unprecedented resolution. We detected thousands … Show more

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Cited by 182 publications
(235 citation statements)
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“…8 They elicit changes in the RNA splicing profile in CLL cells and can affect important genes such as FOXP1, ATM and TNIP1 amongst others. 9,12 Therefore targeting the spliceosome may be a novel therapeutic approach for the treatment of CLL. Several compounds are available for this purpose, [13][14][15][16] including meayamycin B 17,18 and the structurally related spliceostatin A (SSA).…”
Section: Introductionmentioning
confidence: 99%
“…8 They elicit changes in the RNA splicing profile in CLL cells and can affect important genes such as FOXP1, ATM and TNIP1 amongst others. 9,12 Therefore targeting the spliceosome may be a novel therapeutic approach for the treatment of CLL. Several compounds are available for this purpose, [13][14][15][16] including meayamycin B 17,18 and the structurally related spliceostatin A (SSA).…”
Section: Introductionmentioning
confidence: 99%
“…(A) Subset of genes differently expressed in CLL cells as reported by Ferreira et al 9. Shown are genes involved in centrosome assembly, duplication and regulation as well as genes regulated by TP53.…”
Section: Resultsmentioning
confidence: 96%
“…To identify genes that possibly contribute to the observed cytokinesis arrest, we searched a list of 3578 differentially expressed genes based on a publically available RNAseq data set obtained from 98 CLL patients and healthy donor control samples 9. We identified several genes encoding proteins known to be involved in cell cycle regulation to be dysregulated.…”
Section: Resultsmentioning
confidence: 99%
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