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Record W4405042283 · doi:10.1182/blood-2024-205308

The Mitochondrial Unfolded Protein Response (UPRmt) Is Upregulated in Acute Myeloid Leukemia (AML) and Inhibiting the UPRmt Protease, LONP1, Leads to Mitochondrial Protein Aggregation and Cell Death Selectively in AML

2024· article· en· W4405042283 on OpenAlexaff
Matthew Tcheng, Véronique Voisin, Marcela Gronda, Rose Hurren, Dakai Ling, Yongran Yan, Lan-Xin Zhang, Yue Feng, Zaynab Mamai, Yulia Jitkova, Chaitra Sarathy, Andrea Arruda, Steven M. Kornblau, Mark D. Minden, Aaron D. Schimmer

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsUnfolded protein responseMyeloid leukemiaVenetoclaxMitochondrionProgrammed cell deathDownregulation and upregulationCancer researchApoptosisMyeloidLeukemiaBiologyCell biologyImmunologyGeneticsGene

Abstract

fetched live from OpenAlex

Compared to normal hematopoietic cells, AML are uniquely reliant on the mitochondria and its proteome for survival and proliferation. The mitochondrial proteome contains ~1100 unique proteins, of which all but 13 are encoded by nuclear DNA, translated in the cytoplasm and imported into the mitochondria. To measure mitochondrial protein import in AML and normal cells, we developed a novel assay to quantify the mitochondrial import of puromycin labeled proteins. Compared to normal cells, primary AML samples had a 10-fold increase in mitochondrial protein import. Likewise, expression of mitochondrial protein import genes were higher in AML compared to normal. Failure to properly process newly imported proteins into their mature forms leads to protein aggregation resulting in mitochondrial dysfunction. The mitochondrial unfolded protein response (UPRmt) pathway utilizes chaperones and proteases to cleave, fold and degrade newly imported and damaged proteins. Since there are no dedicated UPRmt gene sets in GO, KEGG, and Reactome databases, we curated a 39 gene signature that encompasses the components of UPRmt. UPRmt gene expression was increased in primary AML, compared to normal, and positively correlated with mitochondrial protein import gene expression. We next assessed the dependencies of UPRmt genes in 24 AML cell lines (DepMap database). Across shRNA and CRISPR screens, the mitochondrial AAA+ protease LONP1 was a top dependency. LONP1 is a serine protease that unfolds and degrades damaged or misfolded protein through its ATPase and protease domains, respectively. Compared to normal cells, LONP1 protein was increased >2-fold in 16/30 primary AML samples by immunoblotting. LONP1 was equally expressed across the molecular and cytogenetic AML subgroups in 730 primary AML samples by Reverse Phase Protein Array. LONP1 mRNA expression positively correlated with UPRmt and mitochondrial protein import gene expression. Through its ATPase activity, LONP1 acts in concert with mitochondrial chaperones to fold and solubilize newly imported mitochondrial proteins. We developed a novel confocal-based assay to measure mitochondrial protein aggregation using Proteostat, a dye that fluoresces when bound to aggregated proteins. We visualized the co-localization of Proteostat and the mitochondrial marker TOM20 with confocal microscopy and quantified the co-localization with HALO image analysis. Genetic depletion and chemical inhibition (Omaveloxolone and Bardoxolone methyl) of LONP1 increased mitochondrial protein aggregation in AML cell lines and primary AML samples with high LONP1 but not normal cells or AML samples with low LONP1 and low mitochondrial protein import. We confirmed the increase in mitochondrial protein aggregation after LONP1 inhibition using immunoblotting of LONP1 substrates in detergent-soluble and -insoluble fractions of mitochondrial lysates. We also demonstrated that the ATPase domain but not the proteolytic domain of LONP1 was necessary for mitochondrial protein solubility. Genetic depletion and chemical inhibition of LONP1 killed AML cell lines and primary AML samples. In primary AML, LONP1 expression positively correlated with sensitivity to LONP1 chemical inhibition or genetic depletion (Omaveloxolone (n= 16, R2=0.64); Bardoxolone methyl (n= 30, R2=0.65); LONP1 shRNA (n=9, R2=0.72)). We also discovered that the ATPase domain but not the proteolytic domain of LONP1 was necessary for AML viability. LONP1 knockdown decreased engraftment of AML lines and primary AML samples with high LONP1 into the marrow of NSG mice. Likewise, systemic treatment with Omaveloxolone and Bardoxolone methyl reduced AML growth in mice xenografted with AML cells and primary samples with high LONP1. Daily treatment of mice with Omaveloxolone and Bardoxolone methyl for 6 days increased mitochondrial protein aggregation in xenografted AML cells but not in normal mouse tissues, despite its cross-reactivity with murine LONP1. In summary, a subset of AML patients have increased mitochondrial protein import and upregulate UPRmt as a protective response. Targeting UPRmt and the processing of newly imported mitochondrial proteins at the level of LONP1 leads to increased mitochondrial protein aggregation and cell death in AML while sparing normal hematopoietic cells in vitro and in vivo.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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