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Menin interacts with oncogenic MLL1-fusion proteins, and small molecules that disrupt these associations are in clinical trials for leukemia treatment. By integrating chromatin-focused and genome-wide CRISPR screens with genetic, pharmacologic, and biochemical approaches, we discovered a conserved molecular switch between the MLL1–Menin and MLL3/4–UTX chromatin-modifying complexes that dictates response to Menin–MLL inhibitors. MLL1–Menin safeguards leukemia survival by impeding the binding of the MLL3/4–UTX complex at a subset of target gene promoters. Disrupting the Menin–MLL1 interaction triggers UTX-dependent transcriptional activation of a tumor-suppressive program that dictates therapeutic responses in murine and human leukemia. Therapeutic reactivation of this program using CDK4/6 inhibitors mitigates treatment resistance in leukemia cells that are insensitive to Menin inhibitors. These findings shed light on novel functions of evolutionarily conserved epigenetic mediators like MLL1–Menin and MLL3/4–UTX and are relevant to understand and target molecular pathways determining therapeutic responses in ongoing clinical trials. Significance: Menin–MLL inhibitors silence a canonical HOX- and MEIS1-dependent oncogenic gene expression program in leukemia. We discovered a parallel, noncanonical transcriptional program involving tumor suppressor genes that are repressed in Menin–MLL inhibitor–resistant leukemia cells but that can be reactivated upon combinatorial treatment with CDK4/6 inhibitors to augment therapy responses. This article is highlighted in the In This Issue feature, p. 1

ChIP-Seq results

Sequences of sgRNAs and primers

Menin interacts with oncogenic MLL1-fusion proteins, and small molecules that disrupt these associations are in clinical trials for leukemia treatment. By integrating chromatin-focused and genome-wide CRISPR screens with genetic, pharmacologic, and biochemical approaches, we discovered a conserved molecular switch between the MLL1–Menin and MLL3/4–UTX chromatin-modifying complexes that dictates response to Menin–MLL inhibitors. MLL1–Menin safeguards leukemia survival by impeding the binding of the MLL3/4–UTX complex at a subset of target gene promoters. Disrupting the Menin–MLL1 interaction triggers UTX-dependent transcriptional activation of a tumor-suppressive program that dictates therapeutic responses in murine and human leukemia. Therapeutic reactivation of this program using CDK4/6 inhibitors mitigates treatment resistance in leukemia cells that are insensitive to Menin inhibitors. These findings shed light on novel functions of evolutionarily conserved epigenetic mediators like MLL1–Menin and MLL3/4–UTX and are relevant to understand and target molecular pathways determining therapeutic responses in ongoing clinical trials.Significance:Menin–MLL inhibitors silence a canonical HOX- and MEIS1-dependent oncogenic gene expression program in leukemia. We discovered a parallel, noncanonical transcriptional program involving tumor suppressor genes that are repressed in Menin–MLL inhibitor–resistant leukemia cells but that can be reactivated upon combinatorial treatment with CDK4/6 inhibitors to augment therapy responses.This article is highlighted in the In This Issue feature, p. 1

RNA-Seq results

CRISPR screen results

In this COVID-19 crisis, wearing masks is necessary and no longer an option to the general public. To follow the strict directives given by the government, the businesses have to implement a cost-effective approach to ensure that all its employers wear a face mask and help to control the spread of coronavirus. The proposed solution consists of an automatic face mask detection system that eliminates the need of an employee at the entrance. The working model detects a face mask in every person by analysing each frame of the video and alert through security mail when the mask is not detected. Our proposed system is designed using the Convolution Neural Network (CNN) model for mask detection and image subtraction technique to recognise the faces with mask. The scope of the project pertains to avoid the entry of unauthorized people into an organization by recognizing the face despite the presence of a mask. The model shows an accuracy of 99.82% on a custom dataset. It is an effective protection step to impede the transmission of the novel coronavirus.