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Approximated gene expression trajectories for gene regulatory network inference on cell tracks.
Spiess, Kay; Taylor, Shannon E; Fulton, Timothy; Toh, Kane; Saunders, Dillan; Hwang, Seongwon; Wang, Yuxuan; Paige, Brooks; Steventon, Benjamin; Verd, Berta.
Afiliación
  • Spiess K; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Taylor SE; The Alan Turing Institute, London, UK.
  • Fulton T; Department of Biology, University of Oxford, Oxford, UK.
  • Toh K; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Saunders D; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Hwang S; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Wang Y; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Paige B; Department of Genetics, University of Cambridge, Cambridge, UK.
  • Steventon B; The Alan Turing Institute, London, UK.
  • Verd B; Centre for Artificial Intelligence, University College London, London, UK.
iScience ; 27(9): 110840, 2024 Sep 20.
Article en En | MEDLINE | ID: mdl-39290835
ABSTRACT
The study of pattern formation has benefited from our ability to reverse-engineer gene regulatory network (GRN) structure from spatiotemporal quantitative gene expression data. Traditional approaches have focused on systems where the timescales of pattern formation and morphogenesis can be separated. Unfortunately, this is not the case in most animal patterning systems, where pattern formation and morphogenesis are co-occurring and tightly linked. To elucidate patterning mechanisms in such systems we need to adapt our GRN inference methodologies to include cell movements. In this work, we fill this gap by integrating quantitative data from live and fixed embryos to approximate gene expression trajectories (AGETs) in single cells and use these to reverse-engineer GRNs. This framework generates candidate GRNs that recapitulate pattern at the tissue level, gene expression dynamics at the single cell level, recover known genetic interactions and recapitulate experimental perturbations while incorporating cell movements explicitly for the first time.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IScience Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos