Transgenic Cross-Referencing of Inhibitory and Excitatory Interneuron Populations to Dissect Neuronal Heterogeneity in the Dorsal Horn.
excitability
neuron classification
neuron morphology
pain
patch clamp
spinal cord
Journal
Frontiers in molecular neuroscience
ISSN: 1662-5099
Titre abrégé: Front Mol Neurosci
Pays: Switzerland
ID NLM: 101477914
Informations de publication
Date de publication:
2020
2020
Historique:
received:
18
10
2019
accepted:
11
02
2020
entrez:
5
5
2020
pubmed:
5
5
2020
medline:
5
5
2020
Statut:
epublish
Résumé
The superficial dorsal horn (SDH, LI-II) of the spinal cord receives and processes multimodal sensory information from skin, muscle, joints, and viscera then relay it to the brain. Neurons within the SDH fall into two broad categories, projection neurons and interneurons. The later can be further subdivided into excitatory and inhibitory types. Traditionally, interneurons within the SDH have been divided into overlapping groups according to their neurochemical, morphological and electrophysiological properties. Recent clustering analyses, based on molecular transcript profiles of cells and nuclei, have predicted many more functional groups of interneurons than expected using traditional approaches. In this study, we used electrophysiological and morphological data obtained from genetically-identified excitatory (vGLUT2) and inhibitory (vGAT) interneurons in transgenic mice to cluster cells into groups sharing common characteristics and subsequently determined how many clusters can be assigned by combinations of these properties. Consistent with previous reports, we show differences exist between excitatory and inhibitory interneurons in terms of their excitability, nature of the ongoing excitatory drive, action potential (AP) properties, sub-threshold current kinetics, and morphology. The resulting clusters based on statistical and unbiased assortment of these data fell well short of the numbers of molecularly predicted clusters. There was no clear characteristic that in isolation defined a population, rather multiple variables were needed to predict cluster membership. Importantly though, our analysis highlighted the appropriateness of using transgenic lines as tools to functionally subdivide both excitatory and inhibitory interneuron populations.
Identifiants
pubmed: 32362812
doi: 10.3389/fnmol.2020.00032
pmc: PMC7180513
doi:
Types de publication
Journal Article
Langues
eng
Pagination
32Informations de copyright
Copyright © 2020 Browne, Gradwell, Iredale, Maden, Callister, Hughes, Dayas and Graham.
Références
Neuron. 2015 Aug 19;87(4):797-812
pubmed: 26291162
J Physiol. 2007 Oct 15;584(Pt 2):521-33
pubmed: 17717012
J Physiol. 2012 Aug 15;590(16):3927-51
pubmed: 22674718
J Physiol. 2002 Apr 1;540(Pt 1):189-207
pubmed: 11927679
Neuron. 2015 Mar 18;85(6):1289-304
pubmed: 25789756
Neuroscience. 2017 Nov 5;363:120-133
pubmed: 28860091
J Comp Neurol. 2005 Feb 7;482(2):123-41
pubmed: 15611994
J Physiol. 2013 Apr 1;591(7):1935-49
pubmed: 23297304
Nat Neurosci. 2019 Jul;22(7):1182-1195
pubmed: 31209381
J Physiol. 2015 Oct 1;593(19):4319-39
pubmed: 26136181
Nat Neurosci. 2018 May;21(5):707-716
pubmed: 29556030
Curr Opin Neurobiol. 2012 Feb;22(1):101-10
pubmed: 22030345
Sci Rep. 2017 Jul 5;7(1):4739
pubmed: 28680103
Cell. 2018 Jul 26;174(3):622-635.e13
pubmed: 29909983
Neuron. 2012 Nov 21;76(4):776-89
pubmed: 23177962
Science. 2015 Mar 6;347(6226):1138-42
pubmed: 25700174
J Physiol. 2004 Dec 15;561(Pt 3):749-63
pubmed: 15604230
Nat Neurosci. 2018 Jun;21(6):869-880
pubmed: 29686262
Mol Pain. 2016 Mar 08;12:
pubmed: 27030714
Neuron. 2019 Jul 3;103(1):102-117.e5
pubmed: 31103358
Ann N Y Acad Sci. 2010 Jun;1198:153-8
pubmed: 20536929
Proc Natl Acad Sci U S A. 2000 May 23;97(11):6144-9
pubmed: 10823957
Nat Rev Neurosci. 2017 Sep;18(9):530-546
pubmed: 28775344
J Physiol. 1974 Jun;239(2):301-24
pubmed: 4137933
Cell Rep. 2015 Nov 10;13(6):1246-1257
pubmed: 26527000
J Neurophysiol. 2008 May;99(5):2048-59
pubmed: 18287548
Pain. 2010 Nov;151(2):475-488
pubmed: 20817353
Neurosci Lett. 2017 Jan 18;638:96-101
pubmed: 27939388
Neuroscience. 2019 Feb 1;398:171-181
pubmed: 30553791
J Physiol. 2007 Oct 1;584(Pt 1):121-36
pubmed: 17690143
Cell Rep. 2018 Feb 20;22(8):2216-2225
pubmed: 29466745
Nat Methods. 2012 Jun 28;9(7):676-82
pubmed: 22743772
Brain Res. 2010 Jan 13;1308:58-67
pubmed: 19854164
Cell. 2014 Dec 4;159(6):1417-1432
pubmed: 25467445
Pain. 2015 Oct;156(10):2061-2071
pubmed: 26101837
Pain. 2018 Aug;159(8):1484-1493
pubmed: 29578943
J Neurophysiol. 1967 Sep;30(5):1169-93
pubmed: 4293410
J Neurosci. 2004 Jan 28;24(4):836-42
pubmed: 14749428
J Neurosci. 2017 Mar 1;37(9):2336-2348
pubmed: 28130358
Neuron. 2017 Feb 22;93(4):840-853.e5
pubmed: 28231466
Nat Rev Neurosci. 2010 Dec;11(12):823-36
pubmed: 21068766
Neuron. 2014 May 7;82(3):522-36
pubmed: 24811377
J Physiol. 2004 Oct 1;560(Pt 1):249-66
pubmed: 15284347
Neuron. 2017 Feb 22;93(4):822-839.e6
pubmed: 28162807
Pain. 2015 Sep;156(9):1714-1728
pubmed: 25961142
J Physiol. 2014 Feb 15;592(4):759-76
pubmed: 24324003
Cell Rep. 2019 Jul 9;28(2):526-540.e6
pubmed: 31291586
Nat Methods. 2013 Jun;10(6):540-7
pubmed: 23866336
J Neurochem. 2018 Nov;147(4):526-540
pubmed: 30203849
PLoS One. 2013 Oct 25;8(10):e78309
pubmed: 24205193
Neuroscience. 2016 Jun 21;326:10-21
pubmed: 27045594
J Neurosci. 2006 Feb 8;26(6):1833-43
pubmed: 16467532
Pain. 2019 Feb;160(2):442-462
pubmed: 30247267
Science. 2015 Oct 30;350(6260):550-4
pubmed: 26516282
Mol Pain. 2019 Jan-Dec;15:1744806919839860
pubmed: 30845881
Science. 2016 Nov 4;354(6312):578-584
pubmed: 27811268
J Neurophysiol. 2009 Apr;101(4):1800-12
pubmed: 19176612
PLoS Biol. 2018 Jun 18;16(6):e2006387
pubmed: 29912866