M1-Type, but Not M4-Type, Melanopsin Ganglion Cells Are Physiologically Tuned to the Central Circadian Clock.

circadian rhythm electrophysiological modeling intrinsically photosensitive retinal ganglion cell photoentrainment suprachiasmatic nuclei

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2021
Historique:
received: 13 01 2021
accepted: 07 04 2021
entrez: 24 5 2021
pubmed: 25 5 2021
medline: 25 5 2021
Statut: epublish

Résumé

Proper circadian photoentrainment is crucial for the survival of many organisms. In mammals, intrinsically photosensitive retinal ganglion cells (ipRGCs) can use the photopigment melanopsin to sense light independently from rod and cone photoreceptors and send this information to many brain nuclei such as the suprachiasmatic nucleus (SCN), the site of the central circadian pacemaker. Here, we measure ionic currents and develop mathematical models of the electrical activity of two types of ipRGCs: M1, which projects to the SCN, and M4, which does not. We illustrate how their ionic properties differ, mainly how ionic currents generate lower spike rates and depolarization block in M1 ipRGCs. Both M1 and M4 cells have large geometries and project to higher visual centers of the brain via the optic nerve. Using a partial differential equation model, we show how axons of M1 and M4 cells faithfully convey information from the soma to the synapse even when the signal at the soma is attenuated due to depolarization block. Finally, we consider an ionic model of circadian photoentrainment from ipRGCs synapsing on SCN neurons and show how the properties of M1 ipRGCs are tuned to create accurate transmission of visual signals from the retina to the central pacemaker, whereas M4 ipRGCs would not evoke nearly as efficient a postsynaptic response. This work shows how ipRGCs and SCN neurons' electrical activities are tuned to allow for accurate circadian photoentrainment.

Identifiants

pubmed: 34025341
doi: 10.3389/fnins.2021.652996
pmc: PMC8134526
doi:

Types de publication

Journal Article

Langues

eng

Pagination

652996

Subventions

Organisme : NEI NIH HHS
ID : P30 EY007003
Pays : United States
Organisme : NEI NIH HHS
ID : R00 EY018863
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY023660
Pays : United States

Informations de copyright

Copyright © 2021 Stinchcombe, Hu, Walch, Faught, Wong and Forger.

Déclaration de conflit d'intérêts

OW is the CEO and DF the CSO of Arcascope, a company that makes software for circadian rhythms. The University of Michigan is a part owner of Arcascope. Arcascope did not sponsor this research. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Neurosci. 2007 Oct 24;27(43):11748-57
pubmed: 17959816
J Comp Neurol. 2011 Jun 1;519(8):1492-504
pubmed: 21452206
Curr Biol. 2017 Jun 5;27(11):1633-1640.e3
pubmed: 28528901
J Neurophysiol. 2010 May;103(5):2390-9
pubmed: 20220078
J Neurosci. 2012 Sep 26;32(39):13608-20
pubmed: 23015450
Eur J Neurosci. 2008 Apr;27(7):1763-70
pubmed: 18371076
J Neurosci. 2016 Jul 6;36(27):7184-97
pubmed: 27383593
J Physiol. 2002 Feb 1;538(Pt 3):787-802
pubmed: 11826165
Nature. 2005 Feb 17;433(7027):749-54
pubmed: 15716953
Sci Rep. 2019 Jun 18;9(1):8713
pubmed: 31213620
J Neural Eng. 2018 Aug;15(4):046012
pubmed: 29616983
J Neurophysiol. 1997 Oct;78(4):1948-64
pubmed: 9325363
J Neurosci. 2009 Jan 14;29(2):476-82
pubmed: 19144848
J Comput Neurosci. 2017 Feb;42(1):1-10
pubmed: 27629590
Front Cell Neurosci. 2018 Jul 12;12:203
pubmed: 30050414
J Comp Neurol. 2018 Sep 1;526(13):2010-2018
pubmed: 29888785
Cell. 2017 Nov 2;171(4):865-876.e16
pubmed: 28965762
J Comp Neurol. 2020 Aug;528(12):2044-2067
pubmed: 32003463
J Comp Neurol. 2006 Jul 20;497(3):326-49
pubmed: 16736474
J Comput Neurosci. 2011 Nov;31(3):547-61
pubmed: 21431392
J Neurophysiol. 2013 Apr;109(7):1876-89
pubmed: 23343892
Science. 2009 Oct 9;326(5950):281-4
pubmed: 19815775
Front Neurosci. 2020 May 12;14:378
pubmed: 32477044
Neuron. 2014 May 21;82(4):781-8
pubmed: 24853938
Neuron. 2010 Jul 15;67(1):49-60
pubmed: 20624591
PLoS Comput Biol. 2013;9(8):e1003196
pubmed: 23990770
Nature. 2008 May 1;453(7191):102-5
pubmed: 18432195
Brain Res. 1990 Mar 5;510(2):343-5
pubmed: 2331606
J Physiol. 2014 Apr 1;592(7):1619-36
pubmed: 24396062
J Biol Rhythms. 2007 Oct;22(5):400-10
pubmed: 17876061
Science. 2002 Feb 8;295(5557):1070-3
pubmed: 11834835
Cell Rep. 2017 Nov 7;21(6):1418-1425
pubmed: 29117548
J Neurophysiol. 1997 Oct;78(4):1935-47
pubmed: 9325362
J Biol Rhythms. 2007 Oct;22(5):445-53
pubmed: 17876065
J Neurophysiol. 2012 Oct;108(7):2008-23
pubmed: 22786958
J Neurophysiol. 2015 Nov;114(5):2955-66
pubmed: 26400257

Auteurs

Adam R Stinchcombe (AR)

Department of Mathematics, University of Toronto, Toronto, ON, Canada.

Caiping Hu (C)

Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, United States.

Olivia J Walch (OJ)

Department of Neurology, University of Michigan, Ann Arbor, MI, United States.

Samuel D Faught (SD)

Department of Mathematics, University of Michigan, Ann Arbor, MI, United States.

Kwoon Y Wong (KY)

Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, United States.
Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States.

Daniel B Forger (DB)

Department of Mathematics, University of Michigan, Ann Arbor, MI, United States.
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States.
Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, United States.

Classifications MeSH