The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Neurons Detect Increases and Decreases in Oxygen Levels Using Distinct Guanylate Cyclases
Open accessAbstract
Summary Homeostatic sensory systems detect small deviations in temperature, water balance, pH and energy needs to regulate adaptive behavior and physiology. In C. elegans, a homeostatic preference for intermediate oxygen (O2) levels requires cGMP signaling through soluble guanylate cyclases (sGCs), proteins that bind gases through an associated heme group. Here we use behavioral analysis, functional imaging, and genetics to show that reciprocal changes in O2 levels are encoded by sensory neurons that express alternative sets of sGCs. URX sensory neurons are activated by increases in O2 levels, and require the sGCs gcy-35 and gcy-36. BAG sensory neurons are activated by decreases in O2 levels, and require the sGCs gcy-31 and gcy-33. The sGCs are instructive O2 sensors, as forced expression of URX sGC genes causes BAG neurons to detect O2 increases. Both sGC expression and cell-intrinsic dynamics contribute to the differential roles of URX and BAG in O2 -dependent behaviors.
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Cites
Neural systems supporting interoceptive awareness
Critchley, H. D., Wiens, S., Rotshtein, P., Öhman, A., & Dolan, R. J. (2004) · Nature Neuroscience · doi:10.1038/nn1176 · Cited by 3,406 · cited 4×
“The strategies that neuronal homeostatic systems use to calculate these properties are active areas of investigation (Critchley et al., 2004; Pollatos et al., 2007).”
BackgroundInfluentialInteroception: the sense of the physiological condition of the body
(Bud) Craig, A. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00090-4 · Cited by 2,556
Active Currents Regulate Sensitivity and Dynamic Range in C. elegans Neurons
Goodman, M. B., Hall, D. H., Avery, L., & Lockery, S. R. (1998) · Neuron · doi:10.1016/s0896-6273(00)81014-4 · Cited by 370
Brain structures mediating cardiovascular arousal and interoceptive awareness
Pollatos, O., Schandry, R., Auer, D. P., & Kaufmann, C. (2007) · Brain Research · doi:10.1016/j.brainres.2007.01.026 · Cited by 351
Suzuki, H., Thiele, T. R., Faumont, S., Ezcurra, M., Lockery, S. R., & Schafer, W. R. (2008) · Nature · doi:10.1038/nature06927 · Cited by 256
Wingrove, J. A., & O'Farrell, P. H. (1999) · Cell · doi:10.1016/s0092-8674(00)80610-8 · Cited by 249
Cited by
Serotonin and the neuropeptide PDF initiate and extend opposing behavioral states in C. elegans
Flavell, S. W., Pokala, N., Macosko, E. Z., Albrecht, D. R., Larsch, J., & Bargmann, C. I. (2013) · Cell · doi:10.1016/j.cell.2013.08.001 · Cited by 467
Self-citationStructure and Regulation of Soluble Guanylate Cyclase
Derbyshire, E. R., & Marletta, M. A. (2012) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-050410-100030 · Cited by 466
Self-citationThe neuronal genome of Caenorhabditis elegans
Hobert, O. (2013) · WormBook · doi:10.1895/wormbook.1.161.1 · Cited by 279
Structure and Activation of Soluble Guanylyl Cyclase, the Nitric Oxide Sensor
Montfort, W. R., Wales, J. A., & Weichsel, A. (2017) · Antioxidants & Redox Signaling · doi:10.1089/ars.2016.6693 · Cited by 144
A multi-scale brain map derived from whole-brain volumetric reconstructions
Brittin, C. A., Cook, S. J., Hall, D. H., Emmons, S. W., & Cohen, N. (2021) · Nature · doi:10.1038/s41586-021-03284-x · Cited by 116
Metadata
- Authors
- Zimmer, M., Gray, J. M., Pokala, N., Chang, A. J., Karow, D. S., Marletta, M. A., Hudson, M. L., Morton, D. B., Chronis, N., & Bargmann, C. I.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 61
- Issue
- 6
- Pages
- 865-879
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2108003717
- Cited by
- 282
- References
- 6
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zimmer, M., Gray, J. M., Pokala, N., Chang, A. J., Karow, D. S., Marletta, M. A., Hudson, M. L., Morton, D. B., Chronis, N., & Bargmann, C. I. (2009). Neurons Detect Increases and Decreases in Oxygen Levels Using Distinct Guanylate Cyclases. Neuron. https://doi.org/10.1016/j.neuron.2009.02.013
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