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Molecular signatures of retinal ganglion cells revealed through single cell profiling
Retinal ganglion cells can be classified into more than 40 distinct subtypes, whether by functional classification or transcriptomics. The examination of these subtypes in relation to their physiology, projection patterns, and circuitry would be greatly facilitated through the identification of spec...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823391/ https://www.ncbi.nlm.nih.gov/pubmed/31673015 http://dx.doi.org/10.1038/s41598-019-52215-4 |
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author | Laboissonniere, Lauren A. Goetz, Jillian J. Martin, Gregory M. Bi, Ran Lund, Terry J. S. Ellson, Laura Lynch, Madison R. Mooney, Bailey Wickham, Hannah Liu, Peng Schwartz, Gregory W. Trimarchi, Jeffrey M. |
author_facet | Laboissonniere, Lauren A. Goetz, Jillian J. Martin, Gregory M. Bi, Ran Lund, Terry J. S. Ellson, Laura Lynch, Madison R. Mooney, Bailey Wickham, Hannah Liu, Peng Schwartz, Gregory W. Trimarchi, Jeffrey M. |
author_sort | Laboissonniere, Lauren A. |
collection | PubMed |
description | Retinal ganglion cells can be classified into more than 40 distinct subtypes, whether by functional classification or transcriptomics. The examination of these subtypes in relation to their physiology, projection patterns, and circuitry would be greatly facilitated through the identification of specific molecular identifiers for the generation of transgenic mice. Advances in single cell transcriptomic profiling have enabled the identification of molecular signatures for cellular subtypes that are only rarely found. Therefore, we used single cell profiling combined with hierarchical clustering and correlate analyses to identify genes expressed in distinct populations of Parvalbumin-expressing cells and functionally classified RGCs. RGCs were manually isolated based either upon fluorescence or physiological distinction through cell-attached recordings. Microarray hybridization and RNA-Sequencing were employed for the characterization of transcriptomes and in situ hybridization was utilized to further characterize gene candidate expression. Gene candidates were identified based upon cluster correlation, as well as expression specificity within physiologically distinct classes of RGCs. Further, we identified Prph, Ctxn3, and Prkcq as potential candidates for ipRGC classification in the murine retina. The use of these genes, or one of the other newly identified subset markers, for the generation of a transgenic mouse would enable future studies of RGC-subtype specific function, wiring, and projection. |
format | Online Article Text |
id | pubmed-6823391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68233912019-11-12 Molecular signatures of retinal ganglion cells revealed through single cell profiling Laboissonniere, Lauren A. Goetz, Jillian J. Martin, Gregory M. Bi, Ran Lund, Terry J. S. Ellson, Laura Lynch, Madison R. Mooney, Bailey Wickham, Hannah Liu, Peng Schwartz, Gregory W. Trimarchi, Jeffrey M. Sci Rep Article Retinal ganglion cells can be classified into more than 40 distinct subtypes, whether by functional classification or transcriptomics. The examination of these subtypes in relation to their physiology, projection patterns, and circuitry would be greatly facilitated through the identification of specific molecular identifiers for the generation of transgenic mice. Advances in single cell transcriptomic profiling have enabled the identification of molecular signatures for cellular subtypes that are only rarely found. Therefore, we used single cell profiling combined with hierarchical clustering and correlate analyses to identify genes expressed in distinct populations of Parvalbumin-expressing cells and functionally classified RGCs. RGCs were manually isolated based either upon fluorescence or physiological distinction through cell-attached recordings. Microarray hybridization and RNA-Sequencing were employed for the characterization of transcriptomes and in situ hybridization was utilized to further characterize gene candidate expression. Gene candidates were identified based upon cluster correlation, as well as expression specificity within physiologically distinct classes of RGCs. Further, we identified Prph, Ctxn3, and Prkcq as potential candidates for ipRGC classification in the murine retina. The use of these genes, or one of the other newly identified subset markers, for the generation of a transgenic mouse would enable future studies of RGC-subtype specific function, wiring, and projection. Nature Publishing Group UK 2019-10-31 /pmc/articles/PMC6823391/ /pubmed/31673015 http://dx.doi.org/10.1038/s41598-019-52215-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Laboissonniere, Lauren A. Goetz, Jillian J. Martin, Gregory M. Bi, Ran Lund, Terry J. S. Ellson, Laura Lynch, Madison R. Mooney, Bailey Wickham, Hannah Liu, Peng Schwartz, Gregory W. Trimarchi, Jeffrey M. Molecular signatures of retinal ganglion cells revealed through single cell profiling |
title | Molecular signatures of retinal ganglion cells revealed through single cell profiling |
title_full | Molecular signatures of retinal ganglion cells revealed through single cell profiling |
title_fullStr | Molecular signatures of retinal ganglion cells revealed through single cell profiling |
title_full_unstemmed | Molecular signatures of retinal ganglion cells revealed through single cell profiling |
title_short | Molecular signatures of retinal ganglion cells revealed through single cell profiling |
title_sort | molecular signatures of retinal ganglion cells revealed through single cell profiling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823391/ https://www.ncbi.nlm.nih.gov/pubmed/31673015 http://dx.doi.org/10.1038/s41598-019-52215-4 |
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