The Peripheral Representation of Odor Space

NIH RePORTER · NIH · U19 · $775,551 · view on reporter.nih.gov ↗

Abstract

Summary (Project 1: The peripheral representation of odor space) Progress towards an understanding of olfactory coding has been hampered by long-standing hurdles created by the nature of the stimulus and the complexity of the underlying sensory biology. At the same time, a description of olfactory coding in mammals would provide a unique window into how multidimensional stimuli are represented by the mammalian brain. Olfactory systems use large families of odorant receptors to detect a vast number of chemical stimuli. An important challenge that must be overcome to better understand olfaction is to establish a comprehensive description of what features of olfactory stimuli are represented by the system. Doing so requires that we overcome previously insurmountable technical challenges in identifying the stimulus specificity of a large number of receptors to a large number of odorants, and that we generate a theoretical framework for quantifying and exploring the multidimensional “space” of odors and receptors. Here, we propose an interdisciplinary effort to comprehensively characterize the odorant response properties of a large number of odorant receptors in vivo, and to use this information to explicitly and rigorously test novel models of odor coding. This project exploits the one-to-one correspondence between odorant receptors and glomeruli in the olfactory bulb of mice. Aim 1 will characterize the sensitivities of a large number of receptors (glomeruli) in awake, intact animals using functional imaging. Aim 2 will map these glomerular responses to specific receptors using emerging spatial transcriptomics methods. Aim 3 will use a powerful genomics-based assay to identify the highest affinity receptors for a large set of individual odors. Aim 4 will test a novel theoretical framework for understanding how odor features are represented. This large-scale in vivo multidisciplinary approach will provide long-sought data and analytical tools to rigorously explore potential models of odor coding.

Key facts

NIH application ID
10413205
Project number
5U19NS112953-04
Recipient
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
Principal Investigator
Thomas Bozza
Activity code
U19
Funding institute
NIH
Fiscal year
2022
Award amount
$775,551
Award type
5
Project period
2019-09-01 → 2024-05-31