ArticleMolecular endocrinology (Baltimore, Md.)2012
Research resource: transcriptional response to glucocorticoids in childhood acute lymphoblastic leukemia.
Article in Molecular endocrinology (Baltimore, Md.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- 3D-cultivation of NSCLC cell lines induce gene expression alterations of key cancer-associated pathways and mimicOncotarget · 2017Article
- Dintor: functional annotation of genomic and proteomic data.BMC genomics · 2015Article
- The tumor-modulatory effects of Caspase-2 and Pidd1 do not require the scaffold protein Raidd.Cell death and differentiation · 2015Article
- Quantitative proteomic analysis reveals maturation as a mechanism underlying glucocorticoid resistance in B lineage ALL and re-sensitization by JNK inhibition.British journal of haematology · 2015Article
- Allergenic Can f 1 and its human homologue Lcn-1 direct dendritic cells to induce divergent immune responses.Journal of cellular and molecular medicine · 2015Article
- Dexamethasone-induced cell death is restricted to specific molecular subgroups of multiple myeloma.Oncotarget · 2015Article
- miR-22 and miR-29a Are Members of the Androgen Receptor Cistrome Modulating LAMC1 and Mcl-1 in Prostate Cancer.Molecular endocrinology (Baltimore, Md.) · 2015Article
- New insights into the genetics of glioblastoma multiforme by familial exome sequencing.Oncotarget · 2015Article
- The synthetic glucocorticoids prednisolone and dexamethasone regulate the same genes in acute lymphoblastic leukemia cells.BMC genomics · 2014Article
- SOCS2 correlates with malignancy and exerts growth-promoting effects in prostate cancer.Endocrine-related cancer · 2014Article
- Translational profiling in childhood acute lymphoblastic leukemia: no evidence for glucocorticoid regulation of mRNA translation.BMC genomics · 2013Article
- EpCAM overexpression prolongs proliferative capacity of primary human breast epithelial cells and supports hyperplastic growth.Molecular cancer · 2013Article
- MicroRNAs and Glucocorticoid-Induced Apoptosis in Lymphoid Malignancies.ISRN hematology · 2013Article
- Identification and characterization of alternative exon usage linked glioblastoma multiforme survival.BMC medical genomics · 2012Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Glucocorticoids (GC) induce apoptosis in lymphoblasts and are thus essential in the treatment of acute lymphoblastic leukemia (ALL). Their effects result from gene regulations via the GC receptor (NR3C1/GR), but it is unknown how these changes evolve, what the primary GR targets are, and to what extent responses differ between ALL subtypes and nonlymphoid malignancies. We delineated the transcriptional response to GC on the exon level in a time-resolved manner in a precursor B- and a T childhood ALL model employing Exon microarrays and combined this with genome-wide NR3C1-binding site detection using chromatin immunoprecipitation-on-chip technology. This integrative approach showed that the response was strongly influenced by kinetics and extent of GR autoinduction in both models. Although remarkable differences between the ALL systems were apparent, we defined a set of common response genes enriched in apoptosis-related processes. Globally, GR binding was higher for GC-induced vs. -repressed genes, suggesting that GR mediates gene repression by interaction with distant enhancers or by cross talk with other transcription factors. Exon level analysis defined several new GC-regulated transcript variants of genes, including ATP4B, GPR98, TBCD, and ZBTB16. Our study provides unprecedented insight into the transcriptional response to GC in ALL cells, essential to understand this biologically and clinically important phenomenon. We found evidence of cell type-specific as well as common responses, possibly related to apoptosis induction, and detected induction of novel transcript variants by GC in the investigated systems. Finally, we implemented a bioinformatic framework that might be useful for high-density microarray analyses to identify alternative transcript variant expression.
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