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Record W2979683054 · doi:10.1182/blood.v120.21.207.207

Thymocyte Reprogramming by the Scl, Lmo1 and Notch1 Oncogenes

2012· article· en· W2979683054 on OpenAlexaff
Bastien Gerby, Cédric S. Tremblay, Mathieu Tremblay, Shanti Rojas‐Sutterlin, Trang Hoang

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiologyThymocyteProgenitor cellReprogrammingCD8Stem cellTransplantationHaematopoiesisCell biologyCellular differentiationT cellLeukemiaImmunologyCancer researchCellGeneticsGeneImmune systemMedicine

Abstract

fetched live from OpenAlex

Abstract Abstract 207 Normal thymic progenitors are devoid of self-renewal capacity, which is a distinctive stem cell property. These thymic progenitors progress into the thymus through several stages of differentiation (DN1, DN2-4, DP) before giving rise to CD4+ or CD8+ immunocompetent cells that are released into the periphery. Therfore, thymic output requires continuous seeding from stem cell-derived progenitors. T cell acute lymphoblastic leukemia (T-ALL) is a common cancer in children. Almost 25% of childhood T-ALL involve the SCL transcription factor and/or its nuclear partners LMO1/2 and more than 50% harbour gain of function mutations of NOTCH1. Using a transgenic mouse model that reproduces the human disease, we previously showed that activation of SCL, LMO1 and Notch1 in the thymus is sufficient to transform thymocyte progenitors and induce T-ALL (Tremblay M et al., 2010). Here, we explore the mechanism of transformation by these three oncogenes in primary thymocytes during the pre-leukemic stage. Our results indicate that the SCL and LMO1 oncogenes collaborate to confer an aberrant self-renewal potential to a subset of pre-leukemic thymocytes, via induction of a stem cell gene signature that also distinguishes primary T-ALL patient samples in which LMO2 is expressed. Furthermore, our clonality and functional analyses indicate that only a few clones of preleukemic thymocytes from Scl-Lmo1 mice are able to colonize the thymus of recipient mice in transplantation assays and produce mature T-cells during the pre-leukemic stage. Precisely, we show that self-renewal activity is enriched in DN3 thymocytes which eventually acquire Notch1 gain of function mutations and leukemia initiating activity. On the other hand, the Notch1 oncogene by itself does not confer self-renewal properties to thymocytes. Rather, we show that the Notch1 oncogene enhances the activity of the SCL-LMO1 oncogene to increase the frequency of pre-Leukemic Stem Cells (pre-LSCs) without modifying the clonal expansion of individual pre-LSC when transplanted at limiting dilutions. These results indicate that the Notch1 oncogene modifies the self-renewal activity enforced by the SCLtgLMO1tg oncogenes into a self-renewal of expansion, typical of a transformed state. Furthermore, NOTCH1 confers an invasive potential to SCLtgLMO1tg thymocytes that become thymus-independent and acquire the capacity to develop in peripheral organs. Therefore, our observations are consistent with the view that the SCL-LMO1 oncogenic transcription factors reprogram DN3 thymocytes to acquire self-renewal potential, thereby establishing a pre-leukemic state. Finally, NOTCH1 activation provides a strong signal that collaborates with the SCL-LMO1 oncogenes to induce T-ALL by favoring self-renewal divisions in pre-LSC together with an invasive capacity. Disclosures: No relevant conflicts of interest to declare.

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 score0.001
Threshold uncertainty score0.004

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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
Published2012
Admission routes1
Has abstractyes

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