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Identification of Lats 1 As a Putative Tumor Suppressor in HoxA9/Meis Induced Leukemia

2011· article· en· W2521213061 on OpenAlexaff
Éva Schmidt, Jana Krošl, Jalila Chagraoui, Nadine Mayotte, Caroline Pabst, Tara McRae, Guy Sauvageau

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHippo pathway signaling and YAP/TAZ
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsHippo signaling pathwayBiologyLeukemiaHaematopoiesisStem cellHox genePhenotypeHomeoboxBone marrowCancer researchTranscription factorCell biologyMolecular biologyGeneticsKinaseGeneImmunology

Abstract

fetched live from OpenAlex

Abstract Abstract 2474 Aberrant expression of Hox genes and their cofactors Pbx and Meis1 has been detected in approximately 50% of all human leukemias, and proteins interacting with these homeodomain factors could play a major role in leukemia development. Studies in drosophila showed that hth/MEIS directly interacts with YKI, a component of the Hippo signaling pathway (Peng HW et al., 2009). The core components of this pathway in the mammalian cells are the kinases MST 1 or 2 and LATS 1 or 2, and the downstream transcription cofactors WWTR1 and YAP (homologues of the drosophila Yki). The Hippo pathway has been proposed to play a tumor suppressive role in carcinoma development (Lu L et al. 2010), but little is known about its function in hematopoiesis and leukemia. To address this issue, we first determined the expression levels of the core Hippo pathway constituents in different subpopulations of primitive hematopoietic cells by quantitative RT-PCR. Hematopoietic stem cells (HSC) isolated from day 14.5 fetal liver (FL-HSC, phenotype: CD150+CD48-Lin-), or bone marrow from 3 and 4 week old mice (BM-HSC, phenotype: cKit+CD150+CD48-Lin-) express comparable levels of Lats 1/2 and Mst 1/2. FL-HSC, however, express approximately 3 fold higher levels of Wwtr1 and Yap than the BM-HSC. Expression of all core components of the Hippo pathway was also detected in the Hoxa9+Meis1-induced leukemia named FLA2 in which approximately 70% of cells represent leukemia stem cells (LSC). The role of this pathway in leukemia was assessed using the shRNA-mediated loss of function approach. For each core component, 5 different shRNAs were designed, and 2 achieving ≥40% decrease in the targeted transcript levels were selected for the in vivo experiments. Freshly isolated FLA2 leukemia cells were infected with recombinant retroviruses carrying the control shLuciferase or the targeting shRNA, and green fluorescent protein (GFP), and were transplanted into sub-lethally irradiated recipient mice. The proportions of shRNA transduced (GFP+) cells were determined at the time of transplantation (day 0), and at the time of sacrifice (day 18 ± 2). During this period, the proportions of shWwtr1(GFP+) cells to the leukemic cell populations decreased to 10–20% of the initial day 0 values. Conversely, the Lats1 knockdown leads to > 50% increase over the initial proportion of the GFP+ cells. The combined Lats1+Lats2 knockdown enhanced the competitiveness of the transduced cells compared shLuciferase controls. These significant results (p < 0.05, Mann-Whitney-Test) suggest that LATS kinases act as negative regulators of leukemic cell expansion. To exclude the possibility that this effect is limited to FLA2 leukemia we isolated the CD150+CD48-Lin- stem/progenitor cells from FL, co-infected them first with Hoxa9 and Meis1 cDNA carrying retroviruses, and then knocked down Wwtr1 or Lats1. Similar to observations in FLA2 leukemia model, Lats 1 depletion promoted ∼2-fold increase, and Wwtr 1 reduction >80% decrease in proportions of the transduced (GFP+) cells compared to their initial day 0 levels. Together, our observations suggest that LATS kinases act as negative modulators of Hox/Meis-induced leukemia and indicate a possibility for a specific targeting of the Hox/Meis-activated cellular pathways. Disclosures: No relevant conflicts of interest to declare.

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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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.248
Teacher spread0.227 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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