PubMed Health⌕ Search

PubMed · 4056731

Olfactory stimulation variables. Which model best predicts the olfactory nerve response?

Abstract

Mozell et al. (1984. J. Gen. Physiol. 83:233-267) have examined the traditional manner in which olfactory stimulus-response relationships have been addressed. They developed a model that describes the olfactory nerve response as a function of three factors, viz., the number of odorant molecules (N), the stimulus duration (T), and the stimulus volume (V). In addition, two models derived from this three-variable model were also found to predict the response well. These were the [F, N] model involving flow rate (F = V/T) and, ranking closely behind, the [C, T] model involving concentration (C = N/V). A model involving the delivery rate (D = N/T) and volume was found to predict the response poorly. These models imply very different stimulus-response relationships. The present study was designed to assess the validity of this earlier approach by testing specific predictions drawn from each of the models. Because of the excellence of the [F, N] model, one would predict that the response will not change when F and N are held constant in spite of proportional increases in V and T. Similarly, one would predict from the [C, T] model that the response will be constant when C and T are held constant in spite of proportional increases in N and V. Because of the poor showing of the [D, V] model, one would predict changes in the response even when D and V are held constant while N and T are increased proportionately. It was observed that when F and N were held constant, the response was, in fact, constant. When D and V were held constant, the response increased dramatically. When C and T were held constant, there was a statistically significant, but small, change in the response. These results support the approach taken by Mozell et al. (op. cit.) and highlight the applicability of the [F, N] model to peripheral olfactory processing. The results are discussed in terms of their impact on the traditional manner in which olfactory stimulus-response relationships are conceived.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

D B Kurtz, M M Mozell. 1985. Olfactory stimulation variables. Which model best predicts the olfactory nerve response?. https://doi.org/10.1085/jgp.86.3.329

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Protocol for Detecting and Sequencing Chikungunya Virus from Field-Collected Mosquitoes.

Arboviral diseases represent a major public health challenge, especially in tropical regions where environmental conditions may favor the proliferation and spread of mosquito vectors. Thus, early and accurate detection of chikungunya virus (CHIKV) in mosquito populations can be a valuable tool for effective surveillance of circulating variants and for identifying new viral introductions. Given the challenges of detecting arboviruses in field-captured mosquitoes, we describe an integrated workflow for CHIKV molecular detection and whole-genome sequencing. This protocol includes mosquito homogenization using a bead-based mechanical disruptor, RNA extraction using TRIzol reagent with minor modifications, molecular screening using CHIKV-specific RT-qPCR, and whole-genome amplification followed by sequencing on Illumina platforms. Despite the protocol being optimized for individual mosquitoes, it results in high-quality RNA suitable for both entomological surveillance and genomic analysis. As this protocol allows recovery of complete CHIKV genomes from mosquito specimens, it can serve as a basis for genomic epidemiology studies, enabling monitoring of viral diversity and lineage dynamics, and facilitating early detection of emerging variants to support timely and targeted public health interventions in endemic and at-risk regions.

Animals↗

Genomic Profiling of Chromatin State Using CUT&Tag.

Alterations in chromatin state, mediated through histone modifications and the incorporation of histone variants, are fundamental to establishing transcriptional networks and cell identity. Recent advances in low-input epigenome profiling methods, such as CUT&Tag and CUT&RUN, have enabled the study of chromatin states from very limited starting materials. In this chapter, we describe procedures for generating CUT&Tag libraries to profile histone modifications and histone variants in early-developing zebrafish embryos.

Animals↗

Relaxin-2: Shaping the Proteomic Landscape of Skeletal Muscle Physiology, Glucose Trafficking, and Mitochondrial Function in Rat.

Relaxin-2 is a hormone with robust beneficial effects on the heart and blood vessels and potential as a therapy for cardiovascular (CV) disease. Considering the interorgan communication between skeletal muscle and heart, and the relation between muscle quality/composition and CV events, we hypothesize that relaxin-2 may regulate skeletal muscle physiology and metabolism. We aim to evaluate the impact of relaxin-2 on the proteome of skeletal muscle from healthy Sprague-Dawley rats. Animals were treated with 0.4 mg/kg/day of serelaxin (recombinant form of human relaxin-2) or vehicle (PBS) for 2 weeks employing subcutaneous osmotic minipumps. Skeletal muscle protein identification and quantification were performed by LC-MS/MS using a Data-Independent Acquisition (DIA)-Sequential Window Acquisition of All Theoretical Fragment Ion Spectra (SWATH) method. SWATH/MS quantitative analysis identified that relaxin-2 significantly decreased 95 proteins and significantly increased 32 proteins in rat skeletal muscle when compared to control rats. From these, 34 proteins were associated with muscle function, myogenesis, muscle differentiation and/or regeneration, 20 are mitochondrial proteins (six from the complexes of the electron transport chain), and 10 proteins participate in glucose metabolism. Qualitative data-dependent workflow analysis identified 35 proteins exclusive to the skeletal muscle of the relaxin-2-treated group: eight proteins related to processes of skeletal muscle function (size, ion homeostasis or organization of caveolae structures and cytoskeleton) and myogenesis, and two proteins involved in muscle differentiation. Our work highlighted for the first time the role of relaxin-2 in crucial processes of muscle physiology and energetic metabolism, which could influence several processes involved in myopathy and CV.

Animals↗