Multi-Pronged Effects of Cohesin Mutations in the Myeloid Leukemia of Down Syndrome
Notice bibliographique
Résumé
Children with Down syndrome (DS) are at a 150-fold risk of developing acute megakaryoblastic leukemia. Known as the myeloid leukemia of Down syndrome (ML-DS), this disease is characterized by defined progressive stages that make it an ideal model to study leukemic transformation. While trisomy 21 alters steady state hematopoiesis, the addition of a GATA1 mutation, detected in nearly 30% of children with DS, frequently promotes transient abnormal myelopoiesis (TAM), a self-limiting pre-leukemia. Although TAM typically resolves within the first few months of life, 10-20% of individuals with TAM acquire an additional mutation that transforms the disease into ML-DS. Among these secondary mutations, cohesin alterations are seen in more than 50% of cases, far more than the incidence of these mutations in the general population of AML patients. Cohesin is a ring-shaped protein complex consisting of proteins SMC1, SMC3, RAD21, and either STAG1 or STAG2. Recent reports have implicated the cohesin complex in numerous functions related to chromatin architecture regulating gene expression including but not limited to domain insulation, recruitment of transcription factors, and enhancer-promoter interactions. Due to the genome wide binding of cohesin, elucidating how its mutation leads to transformation has remained elusive. Leveraging the ML-DS patient derived cell line CMY which has a patient relevant RAD21 Y3* mutation, we generated two RAD21 mutant corrected isogenic clones by CRISPR/Cas9 editing. In vitro the corrected clones grow significantly slower than the parental line, and NSG mice injected with the corrected clones had improved overall survival. To investigate the mechanism by which cohesin contributes to transformation, we performed multi-omics studies, including RNA-seq, ATAC-seq, CUT&RUN, and HI-C. ATAC motif enrichment revealed that the clones had increased accessibility of CTCF motifs and decreased accessibility of GATA and RUNT motifs. CUT&RUN for GATA1s, RAD21 and CTCF showed a striking increase in differential occupancy upon correction. We then compared our RNA-seq results with those from a primary human fetal liver model of ML-DS. Strikingly, GSEA of the RNA-seq data revealed strong enrichment for antigen processing and presentation, underpinned by increased HLA class II gene expression in the corrected clones. Utilizing the pan HLA class II antibody HLA-DR,DP,DQ we found that the corrected clones had a 2.5 fold increased cell surface expression compared to parental CMY cells. These results mirror the decrease in HLA-DR expression in T21, GATA1 mutant human fetal liver cells upon the introduction of a STAG2 mutation. These results suggest that one action of cohesin mutations is to affect HLA Class II expression and raise the possibility that cohesin mutations promote immune response evasion. Next, we searched for cell intrinsic drivers of leukemia progression mediated by cohesin mutations. Gene sets enriched in the RNA-seq data included metabolic terms such as electron transport chain, mitochondria and lipids. To validate an effect on metabolism, we induced oxidative stress in the cells with hydrogen peroxide and subsequently measured mitochondrial ROS (mitoROS). Upon treatment, both corrected clones showed significantly less induction of mitoROS compared to the RAD21 mutant parental line. These results prompted us to perform unbiased metabolomics, which led to the identification of 45 significantly altered metabolites including serine, phosphoethanolamine, and CDP-choline that were enriched in the corrected clones. These three metabolites comprise a node of the Kennedy pathway that feeds into phospholipid metabolism. We then performed unbiased lipidomics where 159 significantly changed lipid species were identified. Lipid ontology analysis revealed significant enrichment of glycerophospholipids and fatty acids with >3 double bonds; 62 phospholipids (PLs) were enriched in CMY and 32 were enriched in corrected clones. Saturation levels were drastically different between the enriched PLs, where 46.8% were saturated in parental cells but only 12.5% in the corrected clones. Interestingly, GSEA of the CUT&RUN data revealed enrichment of adipogenesis and biosynthesis of unsaturated fatty acids pathways. Together, these results suggest a role for differential phospholipid metabolism in leukemia transformation in DS.
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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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».