Large scale matching of function to the genetic identity of retinal ganglion cells

Filippo Pisano, Erin Zampaglione, Niall McAlinden, Jennifer Roebber, Martin D. Dawson, Keith Mathieson, Alexander Sher

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
104 Downloads (Pure)


Understanding the role of neurons in encoding and transmitting information is a major goal in neuroscience. This requires insight on the data-rich neuronal spiking patterns combined, ideally, with morphology and genetic identity. Electrophysiologists have long experienced the trade-offs between anatomically-accurate single-cell recording techniques and high-density multi-cellular recording methods with poor anatomical correlations. In this study, we present a novel technique that combines large-scale micro-electrode array recordings with genetic identification and the anatomical location of the retinal ganglion cell soma. This was obtained through optogenetic stimulation and subsequent confocal imaging of genetically targeted retinal ganglion cell sub-populations in the mouse. With the many molecular options available for optogenetic gene expression, we view this method as a versatile tool for matching function to genetic classifications, which can be extended to include morphological information if the density of labelled cells is at the correct level.
Original languageEnglish
Article number15395
Number of pages12
JournalScientific Reports
Issue number1
Publication statusPublished - 13 Nov 2017


  • retinal ganglion cells
  • visua stimulation
  • electrophysiology recording


Dive into the research topics of 'Large scale matching of function to the genetic identity of retinal ganglion cells'. Together they form a unique fingerprint.

Cite this