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Transcriptomics-inferred dynamics of SARS-CoV-2 interactions with host epithelial cells.
Adam, Lukas; Stanifer, Megan; Springer, Fabian; Mathony, Jan; Brune, Maik; Di Ponzio, Chiara; Eils, Roland; Boulant, Steeve; Niopek, Dominik; Kallenberger, Stefan M.
Afiliación
  • Adam L; Health Data Science Unit, University Hospital Heidelberg and Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
  • Stanifer M; Department of Infectious Diseases, Virology, Heidelberg University Hospital, Heidelberg 69120, Germany.
  • Springer F; Department of Molecular Genetics & Microbiology, College of Medicine, University of Florida, Gainesville, FL 32603, USA.
  • Mathony J; Health Data Science Unit, University Hospital Heidelberg and Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
  • Brune M; Department of Biology, Technical University of Darmstadt, Darmstadt 64287, Germany.
  • Di Ponzio C; Center for Synthetic Biology, Technical University of Darmstadt, Darmstadt 64287, Germany.
  • Eils R; BZH Graduate School, Heidelberg University, Heidelberg 69120, Germany.
  • Boulant S; Institute of Pharmacy and Molecular Biotechnology (IPMB), Faculty of Engineering Sciences, Heidelberg University, Heidelberg 69120, Germany.
  • Niopek D; Clinic of Endocrinology, Diabetology, Metabolism, and Clinical Chemistry, Central Laboratory, Heidelberg University Hospital, Heidelberg 69120, Germany.
  • Kallenberger SM; Health Data Science Unit, University Hospital Heidelberg and Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg 69120, Germany.
Sci Signal ; 16(804): eabl8266, 2023 09 26.
Article en En | MEDLINE | ID: mdl-37751479

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Signal Asunto de la revista: CIENCIA / FISIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Signal Asunto de la revista: CIENCIA / FISIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania