June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
A glutamate map of the inner retina
Author Affiliations & Notes
  • Katrin Franke
    Institute for Ophthalmic Research, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
    Graduate School for Neural & Behavioural Sciences | International Max Planck Research School, Tübingen, Germany
  • Philipp Berens
    Institute for Ophthalmic Research, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
    Bernstein Centre for Computational Neuroscience, Tübingen, Germany
  • Timm Schubert
    Institute for Ophthalmic Research, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
  • Thomas Euler
    Institute for Ophthalmic Research, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
    Bernstein Centre for Computational Neuroscience, Tübingen, Germany
  • Tom Baden
    Institute for Ophthalmic Research, Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany
    Bernstein Centre for Computational Neuroscience, Tübingen, Germany
  • Footnotes
    Commercial Relationships Katrin Franke, None; Philipp Berens, None; Timm Schubert, None; Thomas Euler, None; Tom Baden, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 2616. doi:
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    • Get Citation

      Katrin Franke, Philipp Berens, Timm Schubert, Thomas Euler, Tom Baden; A glutamate map of the inner retina. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):2616.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: The retina decomposes spatio-temporal photoreceptor activation patterns into specific parallel channels. In mice, ≥13 types of bipolar cell (BC) systematically transform the photoreceptor input in different parallel pathways and provide the excitatory drive for downstream retinal circuits (Euler et al., 2014). Here, we present a detailed functional map of BC output at the level of glutamate release across the inner plexiform layer (IPL).

Methods: To selectively record BC output, we used an AAV transduction strategy to express the fluorescent glutamate sensor iGluSnFR (Marvin et al., 2013) cell type-specifically in transgenic Cre lines (ChATCre, PVCre) or pan-neuronally. Light stimulus-evoked glutamate release was recorded using two photon imaging in whole-mounted retina at the level of individual processes in the IPL. A correlation-based algorithm was applied to place regions of interest (ROIs), which were restricted to the equivalent size of individual BC terminals. We implemented a probabilistic clustering framework for separating response profiles of more than 10,000 ROIs (17 mice) into functional clusters, which were then grouped according to stratification level and functional similarity.

Results: We obtained ~14 functional BC types (~7 ON, ~6 OFF, and 1 ON-OFF) with strikingly diverse properties. In line with previous studies (Baden et al., 2013; Borghuis et al., 2013), sustained BCs mainly stratified at the IPL borders, whereas more transient BCs stratified closer to the IPL centre. Furthermore, we obtained a detailed description of each functional BC type including stratification profile, frequency and contrast preference, response delay, receptive field size and surround properties. These response properties varied strongly as a function of IPL-depth forming multiple overlapping organisational maps. In addition, we demonstrated that functional BC types with similar stratification depths can show key differences in specific response characteristics, such as response delay and surround properties.

Conclusions: Here, we functionally classified the mouse BCs based on their glutamate release in response to a wide range of light stimuli. This unbiased, terminal- instead of cell-centric approach allows us to systematically chart the main excitatory drive in the IPL with unprecedented detail.

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