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MCL-1 and Mir-181c in GATA2 Mutation Associated Monomac and Familial Myelodysplastic Syndrome

2012· article· en· W2593255690 on OpenAlexaff
Weixin Wang, Meghan Corrigan-Cummins, Donald C. Vinh, Amy P. Hsu, Dennis D. Hickstein, Steven M. Holland, Katherine R. Calvo

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsGATA2HaploinsufficiencyBiologyCancer researchMyeloidRUNX1MutationCEBPAImmunologyGeneticsStem cellHaematopoiesisPhenotypeGene

Abstract

fetched live from OpenAlex

Abstract Abstract 3807 Background: Somatic and germline mutations in GATA2 were recently identified in patients diagnosed with MonoMAC, the hallmarks of which include mono cytopenia, B-cell and NK-cell lymphopenia, susceptibility to opportunistic infections (e.g. MAC), and a strong propensity to develop hypocellular MDS/AML or CMML. GATA2 mutations were also recently identified in other related disorders: Emberger syndrome (primary lymphedema with myelodysplasia), Familial MDS/AML, and DCML (Dendritic Cell, Monocytes, Lymphoid Deficiency). Family members with GATA2 mutations show variable penetrance and expressivity indicating that other factors may be required for development of disease and phenotype. GATA2 mutations are thought to result in loss of function or haploinsufficiency, but the precise mechanism for the development of cytopenias, immunodeficiency, and susceptibility to MDS remains to be elucidated. MicroRNA (miR) represents a unique mechanism of post-transcriptional gene regulation. In this study we generated microRNA profiles of patient derived MonoMAC cell lines followed by functional studies to identify aberrant miRs and their targets, which could potentially cooperate with GATA2 deficiency in generating hematologic disease. Inducible deletion of Myeloid Leukemia Cell 1 (Mcl1), a member of the Bcl2 family, in mice results in the loss of hematopoietic stem cells (HSCs) and progenitors, and in development of cytopenias. Design: RNA was isolated from EBV-immortalized B cells of 10 healthy controls and 13 MonoMAC patients with MDS and defined mutations in GATA2. microRNA expression profiles were generated using the Agilent high density human microRNA array. Array data were normalized to the data point of 75th percentile signal strength and to a set of spike-in and control probes. The differences between the means of experimental groups were analyzed by Mann-Whitney rank sum test. The miRs with significant p values (p≤ 0.05) and fold change (≥ 2-fold) in both normalization methods were selected for further analysis. TargetScan was utilized to predict the mRNA targets of aberrantly expressed miRs. miR targets were validated by functional studies in the Ly8 cell line. Results: Eight miRs were significantly differentially expressed (≥ 2-fold; p ≤ 0.05) as determined by microRNA microarray profiles. Six miRs showed increased expression in monoMAC cell lines compared to controls (miR-9, −181a-2–3p, −181c, −181c-3p, −486–3p, −582–5p) while two miRs showed significantly decreased expression (miR-223, −424–3p). Among the differentially expressed miRs that were validated by quantitative RT-PCR was miR-181c, which demonstrated a 2.2 fold increase in expression in MonoMAC cell lines (p = 0.013). Among the target transcripts potentially regulated by miR-181c, MCL1 expression was significantly decreased (2 fold; p = 0.018) in monoMAC cell lines in comparison to control cell lines. Transient transfection of miR-181c in Ly8 cells resulted in 40% decrease of MCL1 mRNA level, suggesting that miR-181c negatively regulates MCL1 in MonoMAC. Conclusions: These findings indicate that MonoMAC/GATA2 deficiency is associated with significantly decreased expression of MCL1 possibly through negative regulation involving miR-181c. Deletion of Mcl1 is known to cause apoptosis, loss of HSCs, and cytopenias in murine studies. Thus, down-regulation of MCL1 seen in MonoMAC/GATA2 deficiency may similarly favor unregulated apoptosis and the depletion of hematopoietic progenitors resulting in cytopenias, immunodeficiency, and risk of MDS/AML. 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 score0.002
Threshold uncertainty score0.007

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)0.0020.000

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 head0.015
GPT teacher head0.266
Teacher spread0.252 · 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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Citations1
Published2012
Admission routes1
Has abstractyes

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