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Transcription factors underlying photoreceptor diversity

During development, retinal progenitors navigate a complex landscape of fate decisions to generate the major cell classes necessary for proper vision. Transcriptional regulation is critical to generate diversity within these major cell classes. Here, we aim to provide the resources and techniques re...

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Autores principales: Angueyra, Juan M, Kunze, Vincent P, Patak, Laura K, Kim, Hailey, Kindt, Katie, Li, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901936/
https://www.ncbi.nlm.nih.gov/pubmed/36745553
http://dx.doi.org/10.7554/eLife.81579
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author Angueyra, Juan M
Kunze, Vincent P
Patak, Laura K
Kim, Hailey
Kindt, Katie
Li, Wei
author_facet Angueyra, Juan M
Kunze, Vincent P
Patak, Laura K
Kim, Hailey
Kindt, Katie
Li, Wei
author_sort Angueyra, Juan M
collection PubMed
description During development, retinal progenitors navigate a complex landscape of fate decisions to generate the major cell classes necessary for proper vision. Transcriptional regulation is critical to generate diversity within these major cell classes. Here, we aim to provide the resources and techniques required to identify transcription factors necessary to generate and maintain diversity in photoreceptor subtypes, which are critical for vision. First, we generate a key resource: a high-quality and deep transcriptomic profile of each photoreceptor subtype in adult zebrafish. We make this resource openly accessible, easy to explore, and have integrated it with other currently available photoreceptor transcriptomic datasets. Second, using our transcriptomic profiles, we derive an in-depth map of expression of transcription factors in photoreceptors. Third, we use efficient CRISPR-Cas9 based mutagenesis to screen for null phenotypes in F0 larvae (F0 screening) as a fast, efficient, and versatile technique to assess the involvement of candidate transcription factors in the generation of photoreceptor subtypes. We first show that known phenotypes can be easily replicated using this method: loss of S cones in foxq2 mutants and loss of rods in nr2e3 mutants. We then identify novel functions for the transcription factor Tbx2, demonstrating that it plays distinct roles in controlling the generation of all photoreceptor subtypes within the retina. Our study provides a roadmap to discover additional factors involved in this process. Additionally, we explore four transcription factors of unknown function (Skor1a, Sall1a, Lrrfip1a, and Xbp1), and find no evidence for their involvement in the generation of photoreceptor subtypes. This dataset and screening method will be a valuable way to explore the genes involved in many other essential aspects of photoreceptor biology.
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spelling pubmed-99019362023-02-07 Transcription factors underlying photoreceptor diversity Angueyra, Juan M Kunze, Vincent P Patak, Laura K Kim, Hailey Kindt, Katie Li, Wei eLife Developmental Biology During development, retinal progenitors navigate a complex landscape of fate decisions to generate the major cell classes necessary for proper vision. Transcriptional regulation is critical to generate diversity within these major cell classes. Here, we aim to provide the resources and techniques required to identify transcription factors necessary to generate and maintain diversity in photoreceptor subtypes, which are critical for vision. First, we generate a key resource: a high-quality and deep transcriptomic profile of each photoreceptor subtype in adult zebrafish. We make this resource openly accessible, easy to explore, and have integrated it with other currently available photoreceptor transcriptomic datasets. Second, using our transcriptomic profiles, we derive an in-depth map of expression of transcription factors in photoreceptors. Third, we use efficient CRISPR-Cas9 based mutagenesis to screen for null phenotypes in F0 larvae (F0 screening) as a fast, efficient, and versatile technique to assess the involvement of candidate transcription factors in the generation of photoreceptor subtypes. We first show that known phenotypes can be easily replicated using this method: loss of S cones in foxq2 mutants and loss of rods in nr2e3 mutants. We then identify novel functions for the transcription factor Tbx2, demonstrating that it plays distinct roles in controlling the generation of all photoreceptor subtypes within the retina. Our study provides a roadmap to discover additional factors involved in this process. Additionally, we explore four transcription factors of unknown function (Skor1a, Sall1a, Lrrfip1a, and Xbp1), and find no evidence for their involvement in the generation of photoreceptor subtypes. This dataset and screening method will be a valuable way to explore the genes involved in many other essential aspects of photoreceptor biology. eLife Sciences Publications, Ltd 2023-02-06 /pmc/articles/PMC9901936/ /pubmed/36745553 http://dx.doi.org/10.7554/eLife.81579 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (https://creativecommons.org/publicdomain/zero/1.0/) .
spellingShingle Developmental Biology
Angueyra, Juan M
Kunze, Vincent P
Patak, Laura K
Kim, Hailey
Kindt, Katie
Li, Wei
Transcription factors underlying photoreceptor diversity
title Transcription factors underlying photoreceptor diversity
title_full Transcription factors underlying photoreceptor diversity
title_fullStr Transcription factors underlying photoreceptor diversity
title_full_unstemmed Transcription factors underlying photoreceptor diversity
title_short Transcription factors underlying photoreceptor diversity
title_sort transcription factors underlying photoreceptor diversity
topic Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901936/
https://www.ncbi.nlm.nih.gov/pubmed/36745553
http://dx.doi.org/10.7554/eLife.81579
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