2017
DOI: 10.7554/elife.21476
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Variation in olfactory neuron repertoires is genetically controlled and environmentally modulated

Abstract: The mouse olfactory sensory neuron (OSN) repertoire is composed of 10 million cells and each expresses one olfactory receptor (OR) gene from a pool of over 1000. Thus, the nose is sub-stratified into more than a thousand OSN subtypes. Here, we employ and validate an RNA-sequencing-based method to quantify the abundance of all OSN subtypes in parallel, and investigate the genetic and environmental factors that contribute to neuronal diversity. We find that the OSN subtype distribution is stereotyped in genetica… Show more

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Cited by 82 publications
(94 citation statements)
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“…Past work demonstrating a correlation between OR transcript abundance and the number of OSNs expressing those ORs, led us to quantify the number of OSNs expressing these ORs by in situ hybridization 13, 14 . We probed specifically for the expression of Olfr910 , Olfr912 , and Olfr1295 on the MOE of sex-separated male and female mice using anti-sense probes against the open reading frames (ORF) of each of these ORs.…”
Section: Resultsmentioning
confidence: 99%
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“…Past work demonstrating a correlation between OR transcript abundance and the number of OSNs expressing those ORs, led us to quantify the number of OSNs expressing these ORs by in situ hybridization 13, 14 . We probed specifically for the expression of Olfr910 , Olfr912 , and Olfr1295 on the MOE of sex-separated male and female mice using anti-sense probes against the open reading frames (ORF) of each of these ORs.…”
Section: Resultsmentioning
confidence: 99%
“…Emerging literature has evidenced a role for experience in influencing sensory-cell representations within the olfactory epithelium 14, 23, 24 . Thus, our identification of a subset of over-represented ORs in sex-separated female mice led to us to hypothesize a role for experience in generating this dimorphism.…”
Section: Resultsmentioning
confidence: 99%
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“…present. Consequently, the mean concentration of a ligand in any odor reads c i = p i µ i 50 and the associated variance is var(c i ) = (p i − p 2 i )µ 2 i + p i σ 2 i . For simplicity, we consider 51 ligands with equal statistics in this paper, so the distribution P env (c) of odors is 52 characterized by the three parameters p i = p, µ i = µ, and σ i = σ.…”
mentioning
confidence: 99%
“…Various strategies could play a role in 345 keeping the activity of the receptor types similar [46]: On timescales as short as a single 346 sniff, the inhibition strength could be adjusted to regulate the relative importance of 347 receptor excitations [47]. On longer timescales of several weeks, there are changes of the 348 receptor copy number that directly affect the sensitivity of the glomeruli [48][49][50] and the 349 processing neurons in the olfactory bulb [51,52]. Receptor copy number adaptations 350 influence the signal-to-noise ratio at the receptor level, so the copy number could be 351 increased to improve the detection of frequently appearing odors [53].…”
mentioning
confidence: 99%