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Khandelwal, A.

Publications and source records attributed to Khandelwal, A..

2 recordsLinked to original sources

Transient YAP/TAZ inhibition exposes therapeutic vulnerabilities in advanced cancers

YAP and TAZ, key effectors of the Hippo pathway, are frequently hyperactivated in cancer, where they drive tumor progression and resistance to therapy. Their oncogenic activity relies on interaction with TEAD transcription factors, making the TEAD-YAP/TAZ complex an attractive therapeutic target. Using translational mouse models, we demonstrate that sustained systemic YAP/TAZ depletion leads to severe side effects. However, even transient YAP/TAZ inhibition alone is sufficient to suppress tumor growth in advanced stages. Mechanistically, YAP/TAZ activity promotes T cell exclusion from the tumors by inducing target genes involved in tissue remodeling. Consequentially, YAP/TAZ inhibition induces immune infiltration, but the infiltrating T cells rapidly become exhausted. Combining YAP/TAZ inhibition with immune checkpoint blockade (ICB) overcomes this exhaustion and sensitizes previously resistant tumors to immunotherapy.

cancer biology↗

The connectome of an insect brain

Brains contain networks of interconnected neurons, so knowing the network architecture is essential for understanding brain function. We therefore mapped the synaptic-resolution connectome of an insect brain (Drosophila larva) with rich behavior, including learning, value-computation, and action-selection, comprising 3,013 neurons and 544,000 synapses. We characterized neuron-types, hubs, feedforward and feedback pathways, and cross-hemisphere and brain-nerve cord interactions. We found pervasive multisensory and interhemispheric integration, highly recurrent architecture, abundant feedback from descending neurons, and multiple novel circuit motifs. The brains most recurrent circuits comprised the input and output neurons of the learning center. Some structural features, including multilayer shortcuts and nested recurrent loops, resembled powerful machine learning architectures. The identified brain architecture provides a basis for future experimental and theoretical studies of neural circuits. One-Sentence SummaryWe generated a synaptic-resolution brain connectome and characterized its connection types, neuron types, and circuit motifs.

neuroscience↗