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Inhibiting the Mitochondrial Sulfhydryl Oxidase Alr Reduces Cox17 and Alters Mitochondrial Cristae Structure Leading to the Differentiation of AML and Stem Cells

2017· article· en· W3147605822 on OpenAlexaff
Danny V. Jeyaraju, Véronique Voisin, Changjiang Xu, Samir H. Barghout, Dilshad H. Khan, Rose Hurren, Marcela Gronda, Xiaoming Wang, Yulia Jitkova, David Sharon, Sanduni U. Liyanage, Joelle Soriano, Eric R. Lechman, Neil MacLean, Mark D. Minden, Steven M. Chan, John E. Dick, Gary D. Bader, Aaron D. Schimmer

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsGene knockdownHaematopoiesisStem cellBiologyClonogenic assayMitochondrionMolecular biologyBone marrowMyeloid leukemiaCell biologyApoptosisChemistryCancer researchBiochemistryImmunology

Abstract

fetched live from OpenAlex

Abstract The vast majority of mitochondrial proteins are encoded in the nucleus, translated in the cytoplasm and then imported into the mitochondria. A subset of these imported proteins are folded into their mature and functional forms in the mitochondrial inter-membrane space (IMS) by the Mitochondrial IMS Assembly (MIA) pathway. We found that genes encoding substrates of the MIA pathway are over-expressed in leukemic stem cells compared to bulk AML cells. Therefore, we assessed the effects of inhibiting the MIA pathway in AML. We knocked down the mitochondrial sulfhydryl oxidase ALR, a key regulator of the MIA pathway. Knockdown of ALR with shRNA reduced the growth and viability of OCI-AML2, TEX and NB4 leukemia cells. In addition, knockdown of ALR reduced the engraftment of TEX cells into mouse marrow, demonstrating an effect on the leukemia initiating cells. The small molecule selective ALR inhibitor, MitoBloCK-6, mimicked the effects of ALR knockdown and killed AML cells with an IC50 of 5-10 μM. MitoBloCK-6 preferentially reduced the clonogenic growth of primary AML cells (n=4/5) over normal hematopoietic cells (n=4). However, only 3/10 bulk AML cells were sensitive to MitoBloCK-6 induced cell death by Annexin V/PI staining. Next, we evaluated the efficacy and toxicity of ALR inhibition in vivo . We injected primary AML cells or normal cord blood into the femurs of mice and then treated mice with MitoBloCK-6 (80 mg/kg i.p. 5 of 7 days x 2 weeks). MitoBloCK-6 strongly reduced the engraftment of primary AML samples but did not affect engraftment of cord blood. In secondary transplants, MitoBloCK-6 also targeted leukemic stem cells. No change in mouse body weight, serum chemistries, or organ histology was seen. As expression levels of ALR substrates are increased in AML stem cells, we assessed the effects of ALR inhibition on differentiation in AML. Genetic or chemical inhibition of ALR induced the differentiation of AML cells as evidenced by increased CD surface marker expression and increased non-specific esterase. In addition, ALR inhibition was preferentially cytotoxic towards undifferentiated cells and stem cells over differentiated bulk AML cells. Interrogation of the effects of ALR inhibition on its substrates identified the mitochondrial copper chaperone, Cox17 as the primary downstream target in leukemic cells. Inhibition of ALR selectively reduced levels of Cox17 protein and altered mitochondrial cristae structure. Validating the functional importance of these findings, knockdown of Cox17 phenocopied ALR inhibition and reduced AML proliferation, induced differentiation of AML cells, and altered mitochondrial cristae structure, without changing respiratory chain activity or oxygen consumption. Of note, cristae remodelling independent of respiratory chain function has been recently implicated in cellular differentiation and in yeast, Cox17 regulates the cristae organizing machinery. Thus, we have identified novel mechanisms by which mitochondrial pathways regulate the fate and differentiation of AML cells and stem cells Moreover, inhibition of ALR may be a novel therapeutic strategy to promote the differentiation of AML cells and stem cells. Disclosures Schimmer: Takeda Pharmaceuticals: Research Funding; Medivir: Research Funding; Novartis Pharmaceuticals: Honoraria.

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 score0.006

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 head0.018
GPT teacher head0.278
Teacher spread0.260 · 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
Published2017
Admission routes1
Has abstractyes

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