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Single-cell sequencing of individual retinal organoids reveals determinants of cell-fate heterogeneity.
Tresenrider, Amy; Sridhar, Akshayalakshmi; Eldred, Kiara C; Cuschieri, Sophia; Hoffer, Dawn; Trapnell, Cole; Reh, Thomas A.
Afiliación
  • Tresenrider A; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
  • Sridhar A; Department of Biological Structure, University of Washington, Seattle, WA 98195, USA.
  • Eldred KC; Department of Biological Structure, University of Washington, Seattle, WA 98195, USA.
  • Cuschieri S; Department of Biological Structure, University of Washington, Seattle, WA 98195, USA.
  • Hoffer D; Department of Biological Structure, University of Washington, Seattle, WA 98195, USA.
  • Trapnell C; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
  • Reh TA; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA.
Cell Rep Methods ; 3(8): 100548, 2023 08 28.
Article en En | MEDLINE | ID: mdl-37671011
ABSTRACT
With a critical need for more complete in vitro models of human development and disease, organoids hold immense potential. Their complex cellular composition makes single-cell sequencing of great utility; however, the limitation of current technologies to a handful of treatment conditions restricts their use in screens or studies of organoid heterogeneity. Here, we apply sci-Plex, a single-cell combinatorial indexing (sci)-based RNA sequencing (RNA-seq) multiplexing method to retinal organoids. We demonstrate that sci-Plex and 10× methods produce highly concordant cell-class compositions and then expand sci-Plex to analyze the cell-class composition of 410 organoids upon modulation of critical developmental pathways. Leveraging individual organoid data, we develop a method to measure organoid heterogeneity, and we identify that activation of Wnt signaling early in retinal organoid cultures increases retinal cell classes up to 6 weeks later. Our data show sci-Plex's potential to dramatically scale up the analysis of treatment conditions on relevant human models.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Organoides / Vías Clínicas Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Cell Rep Methods Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Organoides / Vías Clínicas Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Cell Rep Methods Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos