Your browser doesn't support javascript.
loading
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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-37751479

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Signal Journal subject: CIENCIA / FISIOLOGIA Year: 2023 Document type: Article Affiliation country: Germany Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Signal Journal subject: CIENCIA / FISIOLOGIA Year: 2023 Document type: Article Affiliation country: Germany Country of publication: United States