Literature DB >> 29572434

Convergence and Divergence of CRH Amacrine Cells in Mouse Retinal Circuitry.

Silvia J H Park1, Joseph Pottackal2, Jiang-Bin Ke3, Na Young Jun1, Pouyan Rahmani1, In-Jung Kim1,2,4, Joshua H Singer3, Jonathan B Demb5,2,6.   

Abstract

Inhibitory interneurons sculpt the outputs of excitatory circuits to expand the dynamic range of information processing. In mammalian retina, >30 types of amacrine cells provide lateral inhibition to vertical, excitatory bipolar cell circuits, but functional roles for only a few amacrine cells are well established. Here, we elucidate the function of corticotropin-releasing hormone (CRH)-expressing amacrine cells labeled in Cre-transgenic mice of either sex. CRH cells costratify with the ON alpha ganglion cell, a neuron highly sensitive to positive contrast. Electrophysiological and optogenetic analyses demonstrate that two CRH types (CRH-1 and CRH-3) make GABAergic synapses with ON alpha cells. CRH-1 cells signal via graded membrane potential changes, whereas CRH-3 cells fire action potentials. Both types show sustained ON-type responses to positive contrast over a range of stimulus conditions. Optogenetic control of transmission at CRH-1 synapses demonstrates that these synapses are tuned to low temporal frequencies, maintaining GABA release during fast hyperpolarizations during brief periods of negative contrast. CRH amacrine cell output is suppressed by prolonged negative contrast, when ON alpha ganglion cells continue to receive inhibitory input from converging OFF-pathway amacrine cells; the converging ON- and OFF-pathway inhibition balances tonic excitatory drive to ON alpha cells. Previously, it was demonstrated that CRH-1 cells inhibit firing by suppressed-by-contrast (SbC) ganglion cells during positive contrast. Therefore, divergent outputs of CRH-1 cells inhibit two ganglion cell types with opposite responses to positive contrast. The opposing responses of ON alpha and SbC ganglion cells are explained by differing excitation/inhibition balance in the two circuits.SIGNIFICANCE STATEMENT A goal of neuroscience research is to explain the function of neural circuits at the level of specific cell types. Here, we studied the function of specific types of inhibitory interneurons, corticotropin-releasing hormone (CRH) amacrine cells, in the mouse retina. Genetic tools were used to identify and manipulate CRH cells, which make GABAergic synapses with a well studied ganglion cell type, the ON alpha cell. CRH cells converge with other types of amacrine cells to tonically inhibit ON alpha cells and balance their high level of excitation. CRH cells diverge to different types of ganglion cell, the unique properties of which depend on their balance of excitation and inhibition.
Copyright © 2018 the authors 0270-6474/18/383753-14$15.00/0.

Entities:  

Keywords:  GABA; amacrine cell; corticotropin-releasing hormone; mouse retina; optogenetics; retinal ganglion cell

Mesh:

Substances:

Year:  2018        PMID: 29572434      PMCID: PMC5895998          DOI: 10.1523/JNEUROSCI.2518-17.2018

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  81 in total

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Authors:  M A Freed
Journal:  J Neurosci       Date:  2000-06-01       Impact factor: 6.167

Review 2.  Extrasynaptic release of GABA and dopamine by retinal dopaminergic neurons.

Authors:  Hajime Hirasawa; Massimo Contini; Elio Raviola
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-07-05       Impact factor: 6.237

3.  Morphology and connectivity of the small bistratified A8 amacrine cell in the mouse retina.

Authors:  Sammy C S Lee; Arndt Meyer; Timm Schubert; Laura Hüser; Karin Dedek; Silke Haverkamp
Journal:  J Comp Neurol       Date:  2015-03-10       Impact factor: 3.215

4.  X and Y ganglion cells inform the cat's brain about contrast in the retinal image.

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Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

5.  The murine cone photoreceptor: a single cone type expresses both S and M opsins with retinal spatial patterning.

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6.  Form and function of the M4 cell, an intrinsically photosensitive retinal ganglion cell type contributing to geniculocortical vision.

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Journal:  J Neurosci       Date:  2012-09-26       Impact factor: 6.167

7.  Receptive field properties of ON- and OFF-ganglion cells in the mouse retina.

Authors:  Michiel van Wyk; Heinz Wässle; W Rowland Taylor
Journal:  Vis Neurosci       Date:  2009-07-14       Impact factor: 3.241

8.  Genetically targeted binary labeling of retinal neurons.

Authors:  Yongling Zhu; Jian Xu; William W Hauswirth; Steven H DeVries
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9.  Cone photoreceptor contributions to noise and correlations in the retinal output.

Authors:  Petri Ala-Laurila; Martin Greschner; E J Chichilnisky; Fred Rieke
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10.  Sidekick 2 directs formation of a retinal circuit that detects differential motion.

Authors:  Arjun Krishnaswamy; Masahito Yamagata; Xin Duan; Y Kate Hong; Joshua R Sanes
Journal:  Nature       Date:  2015-08-19       Impact factor: 49.962

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  19 in total

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Authors:  Sara S Patterson; Andrea S Bordt; Rebecca J Girresch; Conor M Linehan; Jacob Bauss; Eunice Yeo; Diego Perez; Luke Tseng; Sriram Navuluri; Nicole B Harris; Chaiss Matthews; James R Anderson; James A Kuchenbecker; Michael B Manookin; Judith M Ogilvie; Jay Neitz; David W Marshak
Journal:  J Comp Neurol       Date:  2019-12-27       Impact factor: 3.215

2.  Mouse Retinal Cell Atlas: Molecular Identification of over Sixty Amacrine Cell Types.

Authors:  Wenjun Yan; Mallory A Laboulaye; Nicholas M Tran; Irene E Whitney; Inbal Benhar; Joshua R Sanes
Journal:  J Neurosci       Date:  2020-05-26       Impact factor: 6.167

Review 3.  Voltage- and calcium-gated ion channels of neurons in the vertebrate retina.

Authors:  Matthew J Van Hook; Scott Nawy; Wallace B Thoreson
Journal:  Prog Retin Eye Res       Date:  2019-05-10       Impact factor: 21.198

4.  Photoreceptive Ganglion Cells Drive Circuits for Local Inhibition in the Mouse Retina.

Authors:  Joseph Pottackal; Hannah L Walsh; Pouyan Rahmani; Kathy Zhang; Nicholas J Justice; Jonathan B Demb
Journal:  J Neurosci       Date:  2021-01-04       Impact factor: 6.167

5.  Transcriptome analysis in mice treated with vigabatrin identifies dysregulation of genes associated with retinal signaling circuitry.

Authors:  Dana Walters; Kara R Vogel; Madalyn Brown; Xutong Shi; Jean-Baptiste Roullet; K Michael Gibson
Journal:  Epilepsy Res       Date:  2020-06-20       Impact factor: 3.045

6.  Connectomic analysis reveals an interneuron with an integral role in the retinal circuit for night vision.

Authors:  Silvia Jh Park; Evan E Lieberman; Jiang-Bin Ke; Nao Rho; Padideh Ghorbani; Pouyan Rahmani; Na Young Jun; Hae-Lim Lee; In-Jung Kim; Kevin L Briggman; Jonathan B Demb; Joshua H Singer
Journal:  Elife       Date:  2020-05-15       Impact factor: 8.140

7.  Calmodulin Bidirectionally Regulates Evoked and Spontaneous Neurotransmitter Release at Retinal Ribbon Synapses.

Authors:  Chao-Qun Liang; Gong Zhang; Lei Zhang; Si-Yun Chen; Jun-Nan Wang; Ting-Ting Zhang; Joshua H Singer; Jiang-Bin Ke
Journal:  eNeuro       Date:  2021-01-06

8.  Single-cell morphological characterization of CRH neurons throughout the whole mouse brain.

Authors:  Yu Wang; Pu Hu; Qinghong Shan; Chuan Huang; Zhaohuan Huang; Peng Chen; Anan Li; Hui Gong; Jiang-Ning Zhou
Journal:  BMC Biol       Date:  2021-03-15       Impact factor: 7.431

9.  nGnG Amacrine Cells and Brn3b-negative M1 ipRGCs are Specifically Labeled in the ChAT-ChR2-EYFP Mouse.

Authors:  Ling-Jie Cui; Wen-Hao Chen; Ai-Lin Liu; Xu Han; Shi-Xiang Jiang; Fei Yuan; Yong-Mei Zhong; Xiong-Li Yang; Shi-Jun Weng
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-02-07       Impact factor: 4.799

10.  Intersectional Strategies for Targeting Amacrine and Ganglion Cell Types in the Mouse Retina.

Authors:  Andrew Jo; Jian Xu; Sercan Deniz; Suraj Cherian; Steven H DeVries; Yongling Zhu
Journal:  Front Neural Circuits       Date:  2018-08-22       Impact factor: 3.492

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