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Quantitative fate mapping: A general framework for analyzing progenitor state dynamics via retrospective lineage barcoding.
Fang, Weixiang; Bell, Claire M; Sapirstein, Abel; Asami, Soichiro; Leeper, Kathleen; Zack, Donald J; Ji, Hongkai; Kalhor, Reza.
Afiliación
  • Fang W; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 2120
  • Bell CM; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Sapirstein A; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology,
  • Asami S; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Leeper K; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Zack DJ; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, Ba
  • Ji H; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. Electronic address: hji@jhu.edu.
  • Kalhor R; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205
Cell ; 185(24): 4604-4620.e32, 2022 11 23.
Article en En | MEDLINE | ID: mdl-36423582
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Desarrollo Embrionario Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: Cell Año: 2022 Tipo del documento: Article
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Desarrollo Embrionario Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: Cell Año: 2022 Tipo del documento: Article