Dataset for: Comparative primary paediatric nasal epithelial cell culture differentiation and RSV-induced cytopathogenesis following culture in two commercial media

  • Lindsay Broadbent (Creator)
  • Sheerien Manzoor (Data Collector)
  • Maria Zarcone (Data Collector)
  • Judit Barabas (Data Collector)
  • Mike Shields (Supervisor)
  • Sejal Saglani (Supervisor)
  • Claire Lloyd (Supervisor)
  • Andrew Bush (Supervisor)
  • Adnan Custovic (Supervisor)
  • Peter Ghazal (Supervisor)
  • Mindy Gore (Data Manager)
  • Ben Marsland (Supervisor)
  • Graham Roberts (Supervisor)
  • Jurgen Schwarze (Supervisor)
  • Steve Turner (Supervisor)
  • Ultan Power (Supervisor)

Dataset

Description

In this study we assessed two different media, Promocell and PneumaCult, during the differentiation and maintenance of well-differentiated primary nasal epithelial cell cultures (WD-PNECs). We compared and contrasted the consequences of these media on WD-PNEC morphological and physiological characteristics and their responses to respiratory syncytial virus (RSV) infection.
Date made available31 Jan 2019
PublisherQueen's University Belfast
Date of data production01 Mar 2019 - 01 Oct 2019

Cite this

Broadbent, L. (Creator), Manzoor, S. (Data Collector), Zarcone, M. (Data Collector), Barabas, J. (Data Collector), Shields, M. (Supervisor), Saglani, S. (Supervisor), Lloyd, C. (Supervisor), Bush, A. (Supervisor), Custovic, A. (Supervisor), Ghazal, P. (Supervisor), Gore, M. (Data Manager), Marsland, B. (Supervisor), Roberts, G. (Supervisor), Schwarze, J. (Supervisor), Turner, S. (Supervisor), Power, U. (Supervisor) (31 Jan 2019). Dataset for: Comparative primary paediatric nasal epithelial cell culture differentiation and RSV-induced cytopathogenesis following culture in two commercial media. Queen's University Belfast. TEERs(.pzf), IL_29(.pzf), cell_size(.pzf), Transwell_staining(.pzf), combined_cell_counts_and_titrations(.pzf), Cell_counts(.csv), Transepithelial_electrical_resistance_TEER_(.csv), cell_diameter(.csv), IL_29_ELISA(.csv), Transwell_staining(.csv), Virus_titrations(.csv). 10.17034/7c15ce87-a011-47e7-ba55-50e0ccb550a9