RNA Deadenylation Subunit CNOT3 Promotes Myeloid Leukemia By Driving Translation of Oncogenic Targets
Bibliographic record
Abstract
While somatic alterations in genetic and epigenetic mechanisms in tumorigenesis have been studied extensively, how processes that affect post-transcriptional and translational regulation impact leukemia development is much less well developed. To identify novel regulators of post-transcriptional and translation control in AML, we surveyed several genome-wide CRISPR screens and observed that a number of subunits in the RNA deadenylation CNOT complex were highly ranked among genes essential for survival of human and mouse leukemia cells. The CCR4-NOT (CNOT) complex is one of two major multi-subunit polyA deadenylation complexes which mediate the shortening of the poly(A) tails. The CNOT complex was found to be recruited to m6A transcripts to mediate mRNA degradation. An involvement of the CNOT complex with RNA methylation, mRNA degradation and translation suggest a role of CNOT in bridging these processes to mediate complex gene expression regulation in pathogenesis of AML. Among the subunits of CNOT complex, we found that the highest ranked CNOT3 adaptor subunit demonstrated elevated expression in human AML cell lines (7/9 AML cell lines) and in primary AML patients (8/11 primary samples) assayed by immunoblots. Intracellular staining analysis further demonstrated that CNOT3 is highly expressed in leukemia stem cells-enriched CD34+ compartments in 13 out of 17 tested primary AML samples. Notably, high CNOT3 mRNA was associated with a poor prognosis in 3 independent AML patient cohorts i.e. TCGA-AML, Beat-AML and AMLCG 1999. Depletion of CNOT3 by shRNA-mediate knockdown and CRISPR/Cas9-mediated knockout in a panel of genetically diverse human leukemia cells (MOLM13, MV4-11, HL-60, NB4 and OCI-AML3) resulted in strong inhibition of cell growth, increased myeloid differentiation and apoptosis and significantly delayed leukemia development in vivo (median survival of 42 days, control versus 93.5 days, sh#1 and "not reached", sh#2). CNOT3 ablation also reduced survival and colony forming ability of primary AML patient cells. On the other hand, loss of CNOT3 function in normal cord-blood derived CD34+ (CB-CD34+) robustly induced myeloid differentiation without causing cell death, suggesting a potential therapeutic window to target CNOT3 in leukemia cells. In addition, overexpression of CNOT3 promoted cell growth in both CB-CD34+ and leukemia cells. Taken together, the data strongly indicates that CNOT3 promotes leukemogenesis. To uncover the mechanisms underpinning CNOT3 function in leukemia cells, we employed a CRISPR/Cas9 saturation domain mutagenesis screen by tiling the entire CNOT3 gene with sgRNAs. We identified the NOT box in the C-term domain of CNOT3 to be most critical for AML cell viability. In addition, truncation of the NOT box in CNOT3 abrogated its ability to drive proliferation in leukemia cells. This suggests a functional dependence of leukemia cells on CNOT3 interaction with the deadenylation complex via this domain. Transcriptomic and proteomic profiling of leukemia cells depleted of CNOT3 revealed an increase in p53 pathways, IFN-g immune response and downregulation of genes in G2/M checkpoint and MYC- target genes. We further observed a marked decrease in c-MYC protein upon ablation of CNOT3. We also noted the presence of c-MYC mRNA with longer poly(A) tails in CNOT3 depleted cells. However, there is no significant alternation in total abundancy and half-life of c-MYC mRNA, indicating a post-transcriptional regulation of c-MYC protein expression. In fact, depletion of CNOT3 significantly reduced the abundancy of c-MYC mRNA in the polysome-enriched and actively translated mRNAs, indicating that CNOT3 regulates translation of c-MYC. Immunoprecipitation of CNOT3 and mass spectrometry analysis of co-precipitated proteins captured proteins involved in protein synthesis including translation elongation factors and ribosomal proteins, suggesting a functional interaction of CNOT3 with the translation machinery. Overall, we uncovered a critical role of the CCR4-NOT deadenylation complex in myeloid leukemia and nominated CNOT3 as a potential target for AML therapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".