Single cell transcriptome profiling of developing chick retinal cells

Laboissonniere, Lauren
Trimarchi, Jeffrey
Martin, Gregory
Goetz, Jillian
Bi, Ran
Pope, Brock
Weinand, Kallie
Ellson, Laura
Fru, Diane
Lee, Miranda
Wester, Andrea
Liu, Peng
Trimarchi, Jeffrey
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The vertebrate retina is a specialized photosensitive tissue comprised of six neuronal and one glial cell types, each of which develops in prescribed proportions at overlapping timepoints from a common progenitor pool. While each of these cells has a specific function contributing to proper vision in the mature animal, their differential representation in the retina as well as the presence of distinctive cellular subtypes makes identifying the transcriptomic signatures that lead to each retinal cell’s fate determination and development challenging. We have analyzed transcriptomes from individual cells isolated from the chick retina throughout retinogenesis. While we focused our efforts on the retinal ganglion cells, our transcriptomes of developing chick cells also contained representation from multiple retinal cell types, including photoreceptors and interneurons at different stages of development. Most interesting was the identification of transcriptomes from individual mixed lineage progenitor cells in the chick as these cells offer a window into the cell fate decision-making process. Taken together, these datasets will enable us to uncover the most critical genes acting in the steps of cell fate determination and early differentiation of various retinal cell types.

<p>This is the peer reviewed version of the following article: Laboissonniere, Lauren A., Gregory M. Martin, Jillian J. Goetz, Ran Bi, Brock Pope, Kallie Weinand, Laura Ellson et al. "Single cell transcriptome profiling of developing chick retinal cells." <em>Journal of Comparative Neurology</em> (2017) which has been published in final form at doi: <a href="" target="_blank">10.1002/cne.24241</a>. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.</p>
retina, single cell transcriptomics, ganglion cells, development