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Hoxa9 and Meis1 Cooperatively Induce Addiction to Syk Signaling By Suppression of Mir-146a in Acute Myeloid Leukemia

2016· article· en· W2979564813 on OpenAlexaff
Sebastian Mohr, Carmen Doebele, Tobias Berg, Federico Comoglio, Julia Beck, Gabriela Alexe, Jasmin Corso, Hanibal Bohnenberger, Philipp Stroebel, Astrid Wachter, Tim Beißbarth, Frank Schnuetgen, Nadine Haetscher, Stefanie Goellner, A. MAUREEN ROUHI, Lars Palmqvist, Michael A. Rieger, Florian Kuchenbauer, Ekkehardt Schuetz, Henning Urlaub, Kimberly Stegmaier, R. Keith Humphries, Hubert Serve, Thomas Oellerich

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsSykMyeloid leukemiaHox geneBiologyCancer researchLeukemiaCell biologyDownregulation and upregulationSignal transductionTranscriptomeTranscription factorContext (archaeology)Tyrosine kinaseGene expressionImmunologyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Acute Myeloid Leukemia (AML) is driven by cell populations with stem cell-like characteristics, so called leukemia stem cells (LSC). The transcription factor Meis1 is one of the critical regulators of LSC and is capable to rapidly induce AML in murine models in the context of Hox gene overexpression. Despite sophisticated studies identifying Hox- and Meis1-regulated genes, the knowledge about their impact on intracellular signaling pathways and its functional consequences is still limited. Since Hox and Meis1 gene overexpression is often found in high risk AML and since both factors are currently considered as undruggable, we aimed to elucidate their role in regulating intracellular signaling and to investigate, if cells transformed by Hoxa9 and Meis1 are addicted to certain signaling processes. To characterize the effect of Meis1 in the context of Hox gene overexpression on protein expression and intracellular signaling, we have performed a comprehensive (phospho)proteomic analysis and correlated it with transcriptome sequencing data. Our analysis revealed that Meis1 upregulates expression of spleen tyrosine kinase (Syk) without affecting its mRNA expression level. This was confirmed in patient-derived AML cells. By global analysis of microRNA expression and subsequent functional analyses, we could identify the downregulation of miR-146a, which turned out to be PU.1-dependent, as a mediator for this post-transcriptional upregulation of SYK in Hoxa9/Meis1 overexpressing cells. To further investigate, if an activation of Syk signaling can mimic Meis1 in inducing leukemia in our murine AML transplantation model, we overexpressed Syk in Hoxa9-transformed myeloid progenitors and found that this resulted in an acceleration in leukemia development comparable to the acceleration observed upon combined Hoxa9/Meis1 overexpression. We also found that Syk overexpression resulted in an increased expression of Meis1 and an induction of Meis1-dependent gene expression signatures. Notably, Hoxa9/Meis1-transformed cells also exhibited a remarkable sensitivity to Syk inhibition and SYK knockdown in vitro and in vivo, while Hoxa9-transformed cells did not. In summary, we identified a previously unknown signaling loop between Meis1 overexpression and Syk signaling involving miR-146a as a regulator of SYK expression. Hence, we believe that Syk inhibition by small molecules might be a potential therapeutic option for AMLs particularly in the context of Hox/Meis1-overexpression. Disclosures Berg: Astellas: Other: Travel Funding; Alexion: Other: Travel Funding; Celgene: Other: Travel Funding.

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 score0.003

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 head0.008
GPT teacher head0.256
Teacher spread0.248 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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