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Ruiz Tejada Segura, M.L. ; Abou Moussa, E.* ; Garabello, E. ; Nakahara, T.S.* ; Makhlouf, M.* ; Mathew, L.S.* ; Wang, L.* ; Valle, F.* ; Huang, S.S.Y.* ; Mainland, J.D.* ; Caselle, M.* ; Osella, M.* ; Lorenz, S.* ; Reisert, J.* ; Logan, D.W.* ; Malnic, B.* ; Scialdone, A. ; Saraiva, L.R.*

A 3D transcriptomics atlas of the mouse nose sheds light on the anatomical logic of smell.

Cell Rep. 38:110547 (2022)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Cp: Neuroscience ; Machine Learning ; Odorant ; Olfaction ; Olfactory Epithelium ; Olfactory Mucosa ; Rna-seq ; Spatial Transcriptomics
ISSN (print) / ISBN 2211-1247
e-ISSN 2211-1247
Journal Cell Reports
Quellenangaben Volume: 38, Issue: 12, Pages: , Article Number: 110547 Supplement: ,
Publisher Cell Press
Non-patent literature Publications
Reviewing status Peer reviewed
Grants NIDCD NIH HHS
NIH HHS