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Record W4405040176 · doi:10.1182/blood-2024-194861

AML Cells Have Increased Mitochondrial RNA Degradation and Inhibiting This Degradation Promotes Cell Differentiation, Decreases Viability, and Increases Sensitivity to Immune-Mediated Killing

2024· article· en· W4405040176 on OpenAlexaff
Geethu Emily Thomas, Kazem Nouri, Rose Hurren, Jong Bok Lee, Véronique Voisin, Yongran Yan, Neil MacLean, Marcela Gronda, Yulia Jitkova, Taylor Barbieri, Li Ma, Xiaoming Wang, Andrea Arruda, Mark D. Minden, Li Zhang, Aaron D. Schimmer

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsToronto General HospitalPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsImmune systemViability assayDegradation (telecommunications)Cell biologyBiologyRNAMitochondrionChemistryCellImmunologyBiochemistry

Abstract

fetched live from OpenAlex

Eukaryotic cells have two separate genomes; nuclear DNA organized in chromosomes and circular mitochondrial DNA within mitochondria. Mitochondrial DNA encodes 13 proteins, which are all subunits of the respiratory chain and are necessary for oxidative phosphorylation and mitochondrial energy metabolism. We identified increased expression of mitochondrial encoded genes by RT-PCR in primary AML cells (n=14) compared to normal hematopoietic bulk and progenitor cells (n=7), consistent with AML's increased reliance on oxidative phosphorylation. We also discovered that degradation and turnover of mitochondrial mRNA were increased in primary AML cells and AML cell lines. Degradation of mitochondrial RNA is mediated by an ATP-dependent helicase, SUPV3L1, and an exonuclease, PNPT1. SUPV3L1 and PNPT1 mRNA and protein were increased in primary AML cells compared to normal hematopoietic cells. Knocking down SUPV3L1 and PNPT1 in AML prevented mitochondrial RNA degradation, as evidenced by increased levels of polyA tagged mitochondrial RNA. The transcription and turnover of mitochondrial genes generates double stranded RNA (dsRNA) sequences. Knockdown of SUPV3L1 and PNPT1 increased dsRNA in primary AML patient samples and AML cell lines. We immunoprecipitated and sequenced the dsRNA after SUPV3L1 and PNPT1 knockdown. The dsRNA after knockdown of SUPV3L1 and PNPT1 was enriched (275-fold) for mitochondrial over nuclear sequences, demonstrating a mitochondrial source for the dsRNA. We also examined changes in gene expression after knockdown of PNPT1 and SUPV3L1. Knockdown of SUPV3L1 and PNPT1 upregulated genes associated with an interferon response and viral infection, consistent with a type 1 interferon response and viral mimicry. Induction of viral mimicry can induce differentiation and reduce viability of AML cells. We demonstrated that the knockdown of SUPV3L1 and PNPT1 in AML cells increased non-esterase staining, a marker of differentiation. We also observed that genetic knockdown or knockout of SUPV3L1 and PNPT1 decreased the growth and viability of OCI-AML2, TEX, K562, U937, NB4 and 8227 cell lines and clonogenic growth of AML cells OCI-AML2, TEX and U937. Knockdown of SUPV3L1 and PNPT1 also reduced engraftment of TEX cells into the marrow of immune-deficient mice. Finally, knocking down of SUPV3L1 in primary AML cells reduced their engraftment into the marrow of immune-deficient mice. In contrast, knockdown of SUPV3L did not alter the primary engraftment of CD34+ enriched cord blood cells. Finally, we explored sensitivity of AML cells to immune-mediated killing as induction of viral mimicry pathways can enhance sensitivity to T-cell mediated cytotoxicity. Knockdown of of SUPV3L1 and PNPT1 increased T-cell mediated killing of AML cells in vitro. In addition, using immunocompetent and T-cell depleted Balb/c mouse models engrafted with murine A20 cells, we demonstrated that endogenous T cells were required to achieve the greatest reduction in leukemia after SUPV3L1 knockdown. Thus, in summary, AML cells have increase mitochondrial RNA degradation mediated by PNPT1 and SUPV3L1. Genetic depletion of PNPT1 and SUPV3L1 increases dsRNA leading to an interferon response, AML differentiation, and increased sensitivity to T-cell mediated killing.

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 score0.008

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)0.0020.001

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 head0.214
Teacher spread0.207 · 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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