How the brain generates the correct number of neurons and how these neurons determine the size of their arbors to innervate the receptor field is a critical question in neurobiology. The Drosophila visual system is hard wired and iteratively organized into columns, providing an excellent model to answer these questions. Drosophila medulla multicolumnar neurons exhibit 5 to 750 neurons per cell type; each neuron class possesses a distinct morphology and projects its arbors across multiple columns in the optic lobe. The host lab has obtained single-cell RNA sequencing (scRNAseq) data that determined the transcriptome of almost all optic lobe neuron cell types throughout development.
The first aim of this project is to understand the molecular and cell biological mechanisms that dictate neuron number. Under the mentorship of Claude Desplan at New York University (K99 phase), I will perform genetics experiments that decisively address the role of programmed cell death, neural stem cell division number, and neuroepithelial size of origin in regulating the number of multicolumnar neurons produced. I will also perform lineage tracing experiments to determine whether molecularly similar cell types are generated at the same time. With Holger Knaut at NYU Medical Center, I will learn quantitative live imaging techniques to distinguish whether neural stem cells divide a limited number of times to generate low-abundance neural classes, or whether cell fusion of immature progenitors drives cell number.
The second aim of this project is to determine the morphological and genetic processes that dictate the size and orientation of the arbors of multicolumnar to allow them to cover distinct receptor fields. With the bioinformatics expertise of Itai Yanai at NYU Medical Center, I will perform RNAseq on adult neurons that are not numerous enough to be identified in our existing scRNAseq data sets. I will then use machine learning algorithms to identify these neurons during development in our existing scRNAseq libraries and thus identify candidate genes required for the regulation of neuron number and arbor size (R00 phase). I will combine these molecular experiments with live imaging to quantitatively characterize how multicolumnar neurons determine the orientation and size of their arbors. Preliminary data indicates that cell death and the size of neuroepithelial region of origin in part dictate multicolumnar neuron number; I have also identified a neuropeptide whose function is essential for the regulation of neuron arbor size. My work will clarify the molecular basis of neuron abundance and determine how neurons present in small numbers regulate their arbor size to ensure that their environment is uniformly sampled, a problem common to many brain regions in most species.

Public Health Relevance

Understanding how neurons are generated in the correct numbers and how they appropriately space their arbors is of relevance to the fields of developmental neurobiology, neurology and regenerative medicine. Failure to properly specify or target neurons may cause congenital neurological diseases, and our work may identify molecular targets used for treatment. Comprehension of how neurons are made and how they target is also of relevance to regenerative medicine, as stem cell therapies will soon be able to generate diverse neural types which may be transplanted to treat blindness, brain injury and neurodegeneration.

National Institute of Health (NIH)
National Eye Institute (NEI)
Career Transition Award (K99)
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Special Emphasis Panel (ZNS1)
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Agarwal, Neeraj
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New York University
Schools of Arts and Sciences
New York
United States
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