| Literature DB >> 35320714 |
Mayra L Ruiz Tejada Segura1, Eman Abou Moussa2, Elisa Garabello3, Thiago S Nakahara4, Melanie Makhlouf2, Lisa S Mathew2, Li Wang2, Filippo Valle5, Susie S Y Huang2, Joel D Mainland6, Michele Caselle5, Matteo Osella5, Stephan Lorenz7, Johannes Reisert8, Darren W Logan9, Bettina Malnic4, Antonio Scialdone10, Luis R Saraiva11.
Abstract
The sense of smell helps us navigate the environment, but its molecular architecture and underlying logic remain understudied. The spatial location of odorant receptor genes (Olfrs) in the nose is thought to be independent of the structural diversity of the odorants they detect. Using spatial transcriptomics, we create a genome-wide 3D atlas of the mouse olfactory mucosa (OM). Topographic maps of genes differentially expressed in space reveal that both Olfrs and non-Olfrs are distributed in a continuous and overlapping fashion over at least five broad zones in the OM. The spatial locations of Olfrs correlate with the mucus solubility of the odorants they recognize, providing direct evidence for the chromatographic theory of olfaction. This resource resolves the molecular architecture of the mouse OM and will inform future studies on mechanisms underlying Olfr gene choice, axonal pathfinding, patterning of the nervous system, and basic logic for the peripheral representation of smell.Entities:
Keywords: CP: Neuroscience; RNA-seq; machine learning; odorant; olfaction; olfactory epithelium; olfactory mucosa; spatial transcriptomics
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Year: 2022 PMID: 35320714 PMCID: PMC8995392 DOI: 10.1016/j.celrep.2022.110547
Source DB: PubMed Journal: Cell Rep Impact factor: 9.423