T-cell acute lymphoblastic leukemia (T-ALL) is mostly characterized by specific chromosomal abnormalities, some occurring in a mutually exclusive manner possibly delineating specific T-ALL subgroups. One subgroup, including MLL-rearranged, CALM-AF10 or inv(7)(p15q34) cases, is characterized by elevated expression of HOXA genes. Using a gene expression based clustering analysis of 67 T-ALL cases with recurrent molecular genetic abnormalities and 25 samples lacking apparent aberrations, we identified 5 new cases with elevated HOXA levels. Using array-CGH, a cryptic and recurrent deletion, del(9)(q34.11q34.13), was exclusively identified in 3 of these 5 cases. This deletion results in a conserved SET-NUP214 fusion product, that was also identified in the T-ALL cell line LOUCY. SET-NUP214 binds in the promoter regions of specific HOXA genes, where it may interact with CRM1 and DOT1L leading to the transcriptional activation of HOXA genes. Targeted inhibition of SET-NUP214 by siRNA abolished expression of HOXA genes, inhibited proliferation and induced differentiation in LOUCY but not in other T-ALL lines. We conclude that SET-NUP214 may contribute to the pathogenesis of T-ALL by enforcing T-cell differentiation arrest.
The recurrent SET-NUP214 fusion as a new HOXA activation mechanism in pediatric T-cell acute lymphoblastic leukemia.
No sample metadata fields
View SamplesLifelong murine gene expression profiles in relation to chronological and biological aging in multiple organs
Life spanning murine gene expression profiles in relation to chronological and pathological aging in multiple organs.
Age, Specimen part
View SamplesBy gating cell cycle progression to specific times of the day, the intracellular circadian clock is thought to reduce the exposure of replicating cells to potentially hazardous environmental and endogenous genotoxic compounds. Although core clock gene defects that eradicate circadian rhythmicity can cause an altered in vivo genotoxic stress response and aberrant proliferation rate, it remains to be determined to what extent these cell-cycle-related phenotypes are due to a cell-autonomous lack of circadian oscillations. We investigated the DNA damage sensitivity and proliferative capacity of cultured primary Cry1-/-|Cry2-/- fibroblasts. Contrasting previous in vivo studies, we show that the absence of CRY proteins does not affect the cell-autonomous DNA damage response upon exposure of primary cells in vitro to genotoxic agents, but causes cells to proliferate faster. By comparing primary wild type, Cry1-/-|Cry2-/-, Cry1+/-|Cry2-/- and Cry1-/-|Cry2+/- fibroblasts, we provide evidence that CRY proteins influence cell cycle progression in a cell-autonomous, but circadian clock-independent manner and that the accelerated cell cycle progression of Cry-deficient cells is caused by global dysregulation of Bmal1-dependent gene expression. These results suggest that the inconsistency between in vivo and in vitro observations might be attributed to systemic circadian control rather than a direct cell-autonomous control.
Mammalian cryptochromes impinge on cell cycle progression in a circadian clock-independent manner.
Specimen part
View SamplesChildhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL.
A subtype of childhood acute lymphoblastic leukaemia with poor treatment outcome: a genome-wide classification study.
No sample metadata fields
View SamplesChildhood acute lymphoblastic leukemia (ALL) comprises a large group of genetic subtypes with a favorable prognosis characterized by a TEL-AML1-fusion, hyperdiploidy (>50 chromosomes) or E2A-PBX1 fusion and a smaller group with unfavorable outcome characterized by either a BCR-ABL-fusion, MLL-rearrangement or T-ALL.
A subtype of childhood acute lymphoblastic leukaemia with poor treatment outcome: a genome-wide classification study.
No sample metadata fields
View SamplesAberrant splice variants are involved in the initiation and/or progression of glial brain tumors. We therefore set out to identify splice variants that are differentially expressed between histological subgroups of gliomas. Splice variants were identified using a novel platform that profiles the expression of virtually all known and predicted exons present in the human genome. Exon-level expression profiling was performed on 26 glioblastomas, 22 oligodendrogliomas and 6 control brain samples. Our results demonstrate that Human Exon arrays can identify subgroups of gliomas based on their histological appearance and genetic aberrations. We next used our expression data to identify differentially expressed splice variants. In two independent approaches, we identified 49 and up to 459 exons that are differentially spliced between glioblastomas and oligodendrogliomas a subset of which (47% and 33%) were confirmed by RT-PCR. In addition, exon-level expression profiling also identified >700 novel exons. Expression of ~67% of these candidate novel exons was confirmed by RT-PCR. Our results indicate that exon-level expression profiling can be used to molecularly classify brain tumor subgroups, can identify differentially regulated splice variants and can identify novel exons. The splice variants identified by exon-level expression profiling may help to detect the genetic changes that cause or maintain gliomas and may serve as novel treatment targets.
Identification of differentially regulated splice variants and novel exons in glial brain tumors using exon expression arrays.
No sample metadata fields
View SamplesWe analysed the translatome and transcriptome of Arabidopsis thaliana Col-0 WT at five distinct physiological states during seed germination.
Extensive translational regulation during seed germination revealed by polysomal profiling.
Specimen part, Time
View SamplesThe host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. Evidence suggests that genome-wide transcriptional profiling of blood leukocytes can assist in differentiating between infection and non-infectious causes of severe disease. Of importance, RNA biomarkers have the potential advantage that they can be measured reliably in rapid quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)-based point of care tests.
A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission.
Sex, Age
View SamplesNo description.
MicroRNA sequence and expression analysis in breast tumors by deep sequencing.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Histone methyltransferase MLL3 contributes to genome-scale circadian transcription.
Specimen part, Time
View Samples