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Tel-PDGFβR Specifically Induces Interferon-Stimulated Genes.

2005· article· en· W2567764101 on OpenAlexaff
Hani Kim, Dwayne L. Barber

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsOntario Institute for Cancer Research
Fundersnot available
KeywordsFusion geneImatinib mesylateMyeloid leukemiaCancer researchTyrosine kinaseBiologyABLFusion proteinPlatelet-derived growth factor receptorLeukemiaChromosomal translocationbreakpoint cluster regionMolecular biologyImatinibSignal transductionImmunologyCell biologyGeneGrowth factorReceptorGenetics

Abstract

fetched live from OpenAlex

Abstract Chromosomal translocations involving tyrosine kinases play a significant role in human leukemia. Chronic myeloid leukemia (CML) is associated with the recurrent chromosomal translocation, BCR-ABL (t(9;22)(q34;q11)). Chronic myelomonocytic leukemia (CMML) is linked to TEL-PDGF-β Receptor (PDGFβR) (t(5;12)(q33;p13)) fusion. Another TEL fusion, TEL-JAK2 (t(9;12)(p24;p13) has been observed in CMML and Acute Lymphoid Leukemia. All three fusion proteins induce leukemia-like diseases in animal models, and this is attributed to the constitutive tyrosine kinase activity, which leads to dysregulation of their respective downstream signaling pathways. The downstream targets include STAT transcription factors, MAP kinases, and PI3 kinase. On the other hand, little is known about the gene transcription regulated by these fusions. The objective of our study is to determine whether BCR-ABL, TEL-PDGFβR and TEL-JAK2 induce distinct gene expression patterns when expressed in cell lines and retrovirally transduced bone marrow cells. Each fusion was expressed in an IL3-dependent murine myeloid cell line, Ba/F3. The specific inhibitor, Imatinib mesylate, was utilized to control the activation/inhibition of BCR-ABL and TEL-PDGFβR, and an inducible system was utilized for TEL-JAK2. Upon activation of the fusion protein, cells were collected at various time-points for cell cycle and microarray analysis (Affymetrix MOE430A). We utilized 8 hr, 12 hr, 24 hr and 1 wk time points. Our rationale was to monitor gene expression changes through the first cell cycle and then to examine the fingerprint at a steady state point. Analysis of the 1 wk data reveals that a subset of genes are co-regulated (2-fold, p<0.05) by BCR-ABL, TEL-PDGFβR and TEL-JAK2 (Pim1, Id1b, Podxl, Cxcr4, Gp49b and Scin). Interestingly, analysis of the TEL-PDGFβR induced genes (10-fold, p<0.05) revealed a significant overlap with Interferon-Stimulated Gene (ISG) dataset including Cxcl-10, Gbp1, Gbp2, Isg20, Ccl-5, Stat1, Irf7, Serpine-1 and Mx1. Genes identified in this microarray study have been confirmed by Q-PCR in Ba/F3 cells and confirmatory experiments in primary bone marrow cells transduced with each fusion protein are underway. In addition, we will determine whether the transcription of these targets is dependent on STAT1 by utilizing bone marrow cells from STAT1−/− mice. In conclusion, our data reveals that oncogenic chromosomal translocations activate both distinct and co-regulated gene expression and reveal a novel and specific role of Interferon-Stimulated Genes in signaling pathways downstream of TEL-PDGFβR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.270
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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