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Record W2339034661 · doi:10.1182/blood.v124.21.527.527

Loss of MiR-143 and MiR-145 Inhibits Hematopoietic Stem Cell Self-Renewal through Dysregulated TGFβ Signaling

2014· article· en· W2339034661 on OpenAlexaff
Jeffrey Lam, Joanna Wegrzyn-Woltosz, Rawa Ibrahim, Kate Slowski, Patricia Umlandt, Megan Fuller, Aly Karsan

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBiologyHaematopoiesisBone marrowMyeloidStem cellCancer researchMyelodysplastic syndromesHematopoietic stem cellProgenitor cellMyeloid leukemiaImmunologyGenetics

Abstract

fetched live from OpenAlex

Abstract Myelodysplastic syndromes (MDS) are a collection of hematopoietic malignancies in which genomic abnormalities within the hematopoietic stem cell (HSC) compartment results in dysplasia of the marrow cells and ineffective hematopoiesis. As a result, the primary cause of mortality in these patients is eventual bone marrow failure although MDS patients also have a significantly increased risk of transformation to acute myeloid leukemia (AML). The most common karyotypic change in MDS is an interstitial deletion of the long arm of chromosome 5, del(5q) MDS. Patients with an isolated interstitial deletion of chromosome 5q are referred to as having 5q- syndrome. Mapping of the commonly deleted region (CDR) within 5q- syndrome has identified a 1.5-megabase region on band 5q32. MicroRNA (miRNA) -143 and -145 are located within the CDR of del(5q) MDS and have been implicated in the pathogenesis of the disease. However, their functional role in myelodysplastic syndromes has not been well studied. To investigate the role of miR-143 and miR-145, we utilized a gene-targeted mouse model containing deletion of miR-143 and miR-145. Here we show that mouse marrow lacking miR-143 and miR-145 have a decrease in short-term repopulating HSC and progenitors of the myeloid lineage by flow cytometry, as well as of hematopoietic progenitor activity using colony forming assays. Additionally, we performed a limiting dilution assay of miR-143-/-145-/- bone marrow and observed significantly fewer functional HSCs compared to wildtype marrow. To explore the molecular mechanism behind this defect, we performed Ingenuity Pathway Analysis of the predicted targets of miR-143 and miR-145. We identified the transforming growth factor-beta (TGFβ)-signaling pathway as a common target of these two miRNAs. Gene Set Enrichment Analysis of del(5q) using mRNA expression of MDS patient CD34+ marrow cells show an enriched TGFβ-signature compared to healthy controls. In addition, the defect in hematopoietic progenitor activity in miR-143-/-145-/- marrow can be rescued by inhibiting Smad3 using the chemical inhibitor SIS3. We validated the TGFβ pathway adaptor protein, Disabled-2 (DAB2), as a target of miR-145 and show that TGFβ signaling is activated upon loss of miR-145 or enforced expression of DAB2. Enforced expression of DAB2 in mouse marrow is able to recapitulate many of the features of miR-143-/-145-/- mice. DAB2 overexpressing marrow formed significantly fewer colonies in progenitor assays, and in competitive transplants, vector-transduced marrow was able to out compete DAB2-overexpressing marrow in both primary transplants as well as in secondary limiting dilution assays. Interestingly, compared to wildtype mice, aged miR-143-/-145-/- mice showed decreased hemoglobin and platelet counts with elevated white blood cell counts. This phenotype was also observed in a subset of mice with enforced DAB2 expression where a proportion of mice developed a transplantable myeloproliferative disorder. Together, our data identifies a role for miR-143 and miR-145 in the pathogenesis of del(5q) MDS where their loss results in a defect in HSC activity. We observe that the TGFβ signaling pathway is activated in patient marrow and we validate DAB2 as a direct target of miR-145. We provide evidence that the defect observed in miR-143-/-145-/- marrow is mediated in part by DAB2 where its enforced expression leads to a defect in HSC self-renewal but contributes to myeloproliferation. Disclosures Karsan: Celgene: Research 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 score0.002
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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