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Record W2567923610 · doi:10.1182/blood.v106.11.236.236

SCL Oncogene Perturbs HEB/E2A Function on Thymocyte Differentiation.

2005· article· en· W2567923610 on OpenAlexaff
Mathieu Tremblay, Sabine Herblot, Marianne Desrosiers, Margarita Todorova, Éric R. Paquet, François Major, Trang Hoang

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsBiologyThymocyteTranscription factorChromatin immunoprecipitationRepressorCellular differentiationGeneMolecular biologyGeneticsCD8Cell biologyPromoterGene expressionAntigen

Abstract

fetched live from OpenAlex

Abstract The SCL and LMO oncogenes are frequently activated in childhood T cell acute leukemia (T-ALL). SCL is a transcription factor of the basic helix-loop-helix (bHLH) family that forms heterodimers with other members of the family, specifically HEB and E2A. SCL can activate or repress transcription but the mechanism through which SCL functions as an oncogene remains to be clarified. Ectopic expression of SCL and LMO in the thymus of transgenic mice causes thymocyte differentiation arrest during the preleukemic phase with aberrant differentiation at the DN3-DN4 stage, prior to the acquisition of CD4 and CD8. We therefore took several approaches to define the mechanism underlying differentiation arrest in these cells. We first analyzed global gene expression of pre-leukemic DN3 thymocytes from SCLtg/LMOtg mice against their wild type littermates. We found that in this context, these oncogenes act as global transcriptional repressor as 90% of the genes with more than two fold differences are repressed when compared to wild type controls. Furthermore, we identify the HEB/E2A pathway as being targeted by SCL/LMO and used different approaches to show that the HEB/E2A activity is repressed by these oncogenes. First, using real-time quantitative PCR, we confirmed the repression of known HEB/E2A target genes (pTa and Rag1/2). In addition, we identified new HEB/E2A target genes that were confirmed as direct target through chromatin immunoprecipitation of primary thymocytes. This array also reveals that SCL associates with HEB and/or E2A on DNA to repress their function. Furthermore, we took a genetic approach to show that SCL/LMO collaborates with HEB haploinsufficiency in inducing leukemia. Our observations therefore reveal that the repression of the HEB pathway is crucial for T cell transformation. The importance of this repression is underscored by the fact that the E2A/HEB target genes that we identify here are expressed at low levels in primary leukemic cells from T-ALL patients when compared to B-ALL or AML samples. Together, these results show that SCL/LMO repress HEB/E2A activity to block T cell differentiation, an important step for T cell leukemia.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.081
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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 teacher head, not a consensus.

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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