Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Olfactory Receptors: Location and Structure01:03

Olfactory Receptors: Location and Structure

11.7K
The process of olfaction, also known as the sense of smell, is a sophisticated chemical response system. The specialized sensory neurons that facilitate this process, known as olfactory receptor neurons, are situated in an upper segment of the nasal cavity, known as the olfactory epithelium. Olfactory sensory neurons are bipolar, with their dendrites extending from the epithelium's apex into the mucus that lines the nasal cavity. Airborne molecules, when inhaled, traverse the olfactory...
11.7K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.9K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
9.9K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

3.6K
3.6K
Nursing Code of Ethics01:29

Nursing Code of Ethics

4.5K
The Nursing Code of Ethics sets the ethical benchmark for the profession, and guides nurses in ethical analysis and decision making at the societal, organizational, and clinical levels. The code encompasses showing compassion and respect for the patient, their families, and communities in all circumstances while committing to providing patient-centered care. In addition, the code states that nurses must advocate for the patient by defending a cause or recommendation to protect their rights,...
4.5K
Receptor-mediated Endocytosis01:39

Receptor-mediated Endocytosis

110.8K
Overview
110.8K
Internal Receptors01:31

Internal Receptors

74.6K
Many cellular signals are hydrophilic and therefore cannot pass through the plasma membrane. However, small or hydrophobic signaling molecules can cross the hydrophobic core of the plasma membrane and bind to internal, or intracellular, receptors that reside within the cell. Many mammalian steroid hormones use this mechanism of cell signaling, as does nitric oxide (NO) gas.
74.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diversity-generating retroelements for programmable targeted hypermutagenesis.

Nature biotechnology·2026
Same author

Constrained evolutionary funnels shape viral immune escape.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Origins and breadth of pairwise epistasis in an α-helix of β-lactamase TEM-1.

Nature communications·2026
Same author

Predisposed and learned preferences for multipoint visual statistics in visually naive newly hatched chicks.

Proceedings. Biological sciences·2026
Same author

Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models.

PLoS computational biology·2026
Same author

A vascular code for speed in the spatial navigation system.

Cell reports·2025

Related Experiment Video

Updated: Jan 28, 2026

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna
05:21

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna

Published on: May 4, 2014

9.5K

Adaptation of olfactory receptor abundances for efficient coding.

Tiberiu Teşileanu1,2,3, Simona Cocco4, Rémi Monasson5

  • 1Center for Computational Biology, Flatiron Institute, New York, United States.

Elife
|February 27, 2019
PubMed
Summary
This summary is machine-generated.

Olfactory receptor abundance adapts to odor statistics for efficient environmental information coding. This dynamic process ensures optimal representation of olfactory signals in mammals, driven by neural adaptation.

Keywords:
D. melanogasterefficient codingmouseolfactionphysics of living systemsreceptor distribution

More Related Videos

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans
11:30

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

Published on: December 22, 2012

11.2K
Quadruple Immunostaining of the Olfactory Bulb for Visualization of Olfactory Sensory Axon Molecular Identity Codes
06:32

Quadruple Immunostaining of the Olfactory Bulb for Visualization of Olfactory Sensory Axon Molecular Identity Codes

Published on: June 5, 2017

7.6K

Related Experiment Videos

Last Updated: Jan 28, 2026

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna
05:21

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna

Published on: May 4, 2014

9.5K
A Molecular Readout of Long-term Olfactory Adaptation in C. elegans
11:30

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

Published on: December 22, 2012

11.2K
Quadruple Immunostaining of the Olfactory Bulb for Visualization of Olfactory Sensory Axon Molecular Identity Codes
06:32

Quadruple Immunostaining of the Olfactory Bulb for Visualization of Olfactory Sensory Axon Molecular Identity Codes

Published on: June 5, 2017

7.6K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Sensory Biology

Background:

  • Olfactory receptor (OR) expression varies significantly, with some OR types being far more abundant than others.
  • Understanding the principles governing OR abundance is crucial for deciphering olfactory information processing.

Purpose of the Study:

  • To explain the heterogeneous distribution of olfactory receptors.
  • To propose a model where OR abundance is tuned for efficient coding of olfactory information.
  • To investigate how odor exposure affects OR abundances and the underlying neural mechanisms.

Main Methods:

  • Developed a theoretical model of efficient coding for olfactory receptor usage.
  • Simulated the adaptation of OR abundances based on odor statistics.
  • Conducted experiments exposing mammals to odorants and measured changes in OR abundance.
  • Derived an algorithm to predict OR abundance changes.

Main Results:

  • The model predicts that OR distribution is optimized for maximal information representation in a context of correlated sensor responses.
  • Experimental exposure to odorants reproducibly altered the abundances of activated ORs (increased, decreased, or unchanged).
  • This diversity in response is essential for efficient coding with correlated sensory inputs.

Conclusions:

  • Olfactory receptor abundances dynamically adapt to environmental odor statistics in mammals.
  • This adaptation is driven by the need for efficient coding of olfactory information.
  • The study provides a predictive algorithm for OR adaptation and suggests underlying neural dynamics.