The Mitochondrial Protease, Neurolysin (NLN), Regulates Respiratory Chain Complex and Supercomplex Formation and Is Necessary for AML Viability
Notice bibliographique
Résumé
Acute myeloid leukemia (AML) cells and stem cells have unique mitochondrial characteristics with an increased reliance on oxidative phosphorylation (OXPHOS). To identify new biological vulnerabilities in the mitochondrial proteome of AML cells, we conducted an shRNA screen and identified neurolysin (NLN), a zinc metalloprotease whose mitochondrial function is not well understood and whose role in AML has not been previously reported. To begin our investigation into the role of NLN in AML, we analyzed NLN gene expression in a database of 536 AML and 73 normal bone marrow samples. NLN was overexpressed in 41% of AML samples. Overexpression of NLN in primary AML cells compared to normal hematopoietic cells was confirmed by immunoblotting. To validate the results of the screen and to determine whether NLN is required for AML growth and viability, we knocked down NLN in the leukemia cell lines OCI-AML2, MV4-11, NB4, and TEX with shRNA. NLN knockdown reduced leukemia growth and viability by 50-70%. Moreover, knockdown of NLN in AML cells reduced the clonogenic growth of leukemic cells in vitro and the engraftment of AML cells into mouse marrow after five weeks by up to 80% and 85%, respectively. The mitochondrial function of NLN is largely unknown, so we identified NLN's mitochondrial protein interactors in T-REx HEK293 cells using proximity-dependent biotin labeling (BioID) coupled with mass spectrometry (MS). This screen identified 73 mitochondrial proteins that preferentially interacted with NLN and were enriched for functions including respiratory chain complex assembly, respiratory electron transport, and mitochondrion organization. Therefore, we assessed the effects of NLN knockdown on OXPHOS. NLN knockdown reduced basal and maximal oxygen consumption, but there were no changes in the levels of individual respiratory chain complex subunits. To understand how NLN influences OXPHOS, we examined the formation of respiratory chain supercomplexes (RCS). Respiratory chain complexes I, III, and IV assemble into higher order quaternary structures called RCS, which promote efficient oxidative metabolism. NLN knockdown significantly impaired RCS formation in T-REx HEK293, OCI-AML2, and NB4 cells, which was rescued by overexpressing wild-type shRNA-resistant NLN. RCS have not been previously studied in leukemia. Therefore, we analyzed their levels in primary AML patient samples and normal hematopoietic cells. RCS assembly was increased in a subset of AML patient samples and positively correlated with NLN protein expression (R2 = 0.83, p < 0.05), suggesting that NLN mediates RCS assembly in AML. To investigate how NLN may be regulating RCS assembly, we analyzed our BioID results to identify NLN interactors that are known regulators of supercomplex formation. Among the top interactors was the known RCS regulator, LETM1. Knockdown of NLN in AML cells impaired LETM1 assembly. Of note, knockdown of LETM1 also reduced growth and oxygen consumption of AML cells. As a chemical approach to evaluate the effects of NLN inhibition on AML cells, we used the allosteric NLN inhibitor R2, (3-[(2S)-1-[(3R)-3-(2-Chlorophenyl)-2-(2-fluorophenyl)pyrazolidin-1-yl]-1-oxopropan-2-yl]-1-(adamantan-2-yl)urea), whose anti-cancer effects have not been previously reported. R2 reduced viability of AML cells, as well as two primary AML culture models, 8227 and 130578. R2 impaired RCS formation in OCI-AML2, NB4, 8227, and primary AML cells. Moreover, R2 reduced the CD34+CD38- stem cell enriched population in 8227 cells, reduced LETM1 complex assembly, and impaired OXPHOS in OCI-AML2 and 8227 cells. Finally, we assessed the effects of inhibiting NLN in mice engrafted with primary AML and normal hematopoietic cells in vivo. Treatment of mice with R2 reduced the leukemic burden in these mice without toxicity. Moreover, inhibiting NLN targeted the AML stem cells as evidenced by reduced engraftment in secondary experiments. In contrast, inhibiting NLN did not reduce the engraftment of normal hematopoietic cells. Collectively, these results demonstrate that inhibition of NLN preferentially targets AML cells and stem cells as compared to normal hematopoietic cells. In summary, we defined a novel role for NLN in RCS formation. We show that RCS are necessary for oxidative metabolism in AML and highlight NLN inhibition as a potential therapeutic strategy. Disclosures Minden: Trillium Therapetuics: Other: licensing agreement. Chan:Agios: Honoraria; AbbVie Pharmaceuticals: Research Funding; Celgene: Honoraria, Research Funding. Schimmer:Medivir Pharmaceuticals: Research Funding; Novartis Pharmaceuticals: Consultancy; Jazz Pharmaceuticals: Consultancy; Otsuka Pharmaceuticals: Consultancy.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».