ArticleLeukemia2012
Digital gene expression profiling of primary acute lymphoblastic leukemia cells.
Article in Leukemia, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 29 citations in OpenAlex.
- Therapeutic activation of PPARα contributes to NOTCH1 inhibition in T-cell acute lymphoblastic leukemia.BMC medicine · 2026Article
- Long noncoding RNAs in acute myeloid leukemia: biomarkers, prognostic indicators, and treatment potential.Cancer cell international · 2025Review
- Vimentin Regulates Alternative Polyadenylation and mTOR Signaling via ARVCF to Promote B Cell Lymphoma Progression.Human mutation · 2025Article
- Integrated systems biology analysis of acute lymphoblastic leukemia: unveiling molecular signatures and drug repurposing opportunities.Annals of hematology · 2024Article
- BACH2-mediated CD28 and CD40LG axes contribute to pathogenesis and progression of T-cell lymphoblastic leukemia.Cell death & disease · 2024Article
- Clinicopathological features and prognostic value of SOX11 in childhood acute lymphoblastic leukemia.Scientific reports · 2020Article
- Aberrant LncRNA Expression in Leukemia.Journal of Cancer · 2020Review
- Long Non-Coding RNA and Acute Leukemia.International journal of molecular sciences · 2019Review
- Differential genome-wide profiling of alternative polyadenylation sites in nasopharyngeal carcinoma by high-throughput sequencing.Journal of biomedical science · 2018Article
- Deregulation of the non-coding genome in leukemia.RNA biology · 2017Article
- Article
- DNA methylation-based subtype prediction for pediatric acute lymphoblastic leukemia.Clinical epigenetics · 2015Article
- Cell and molecular determinants of in vivo efficacy of the BH3 mimetic ABT-263 against pediatric acute lymphoblastic leukemia xenografts.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014Article
- RNA sequencing: from tag-based profiling to resolving complete transcript structure.Cellular and molecular life sciences : CMLS · 2014Review
- Epigenetic deregulation in pediatric acute lymphoblastic leukemia.Epigenetics · 2014Article
- Molecular mechanisms of reduced nerve toxicity by titanium dioxide nanoparticles in the phoxim-exposed brain of Bombyx mori.PloS one · 2014Article
- Genome-wide signatures of differential DNA methylation in pediatric acute lymphoblastic leukemia.Genome biology · 2013Article
- Genome-scale technology driven advances to research into normal and malignant haematopoiesis.Scientifica · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We determined the genome-wide digital gene expression (DGE) profiles of primary acute lymphoblastic leukemia (ALL) cells from 21 patients taking advantage of 'second-generation' sequencing technology. Patients included in this study represent four cytogenetically distinct subtypes of B-cell precursor (BCP) ALL and T-cell lineage ALL (T-ALL). The robustness of DGE combined with supervised classification by nearest shrunken centroids (NSC) was validated experimentally and by comparison with published expression data for large sets of ALL samples. Genes that were differentially expressed between BCP ALL subtypes were enriched to distinct signaling pathways with dic(9;20) enriched to TP53 signaling, t(9;22) to interferon signaling, as well as high hyperdiploidy and t(12;21) to apoptosis signaling. We also observed antisense tags expressed from the non-coding strand of ~50% of annotated genes, many of which were expressed in a subtype-specific pattern. Antisense tags from 17 gene regions unambiguously discriminated between the BCP ALL and T-ALL subtypes, and antisense tags from 76 gene regions discriminated between the 4 BCP subtypes. We observed a significant overlap of gene regions with alternative polyadenylation and antisense transcription (P<1 × 10(-15)). Our study using DGE profiling provided new insights into the RNA expression patterns in ALL cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.