This readme file was generated on [2024-10-14] by [K Goncalves]


GENERAL INFORMATION

Title of Dataset: Bioengineering the human intestinal mucosa and the importance of stromal support for pharmacological evaluation in vitro.

Author/Principal Investigator Information
Name: Stefan Przyborski
ORCID:0000-0001-7613-525X
Institution: Durham University
Address: South Road, Durham
Email: Stefan.przyborski@durham.ac.uk

Author/Associate or Co-investigator Information
Name: Kirsty Goncalves
ORCID:0000-0001-6245-4700
Institution: Durham University
Address: South Road, Durham
Email: Kirsty.e.goncalves@durham.ac.uk

Author/Alternate Contact Information
Name: 
ORCID:
Institution: 
Address: 
Email: 

Date of data collection: 2015-10-01 to 2019-10-01 

Geographic location of data collection: Durham

Information about funding sources that supported the collection of the data: BBSRC studentship


SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: CC BY

Links to publications that cite or use the data: 

Links to other publicly accessible locations of the data: 

Links/relationships to ancillary data sets: 

Was data derived from another source? No
If yes, list source(s): 

Recommended citation for this dataset: 

Freer, M., Cooper, J., Goncalves, K., Przyborski, S. (2024):  Bioengineering the human intestinal mucosa and the importance of stromal support for pharmacological evaluation in vitro.  Durham University.  (dataset).  DOI:  http://doi.org/10.15128/r26w924b89c


DATA & FILE OVERVIEW

File List: KGF Dose Response Immunostaining (Figure 3), Microscopy (collection of histological and immunofluorescence images used throughout the manuscript), Intestine Paper Graphs (quantification for a number of graphs)

Relationship between files, if important: 

Additional related data collected that was not included in the current data package: 

Are there multiple versions of the dataset? No
If yes, name of file(s) that was updated: 
Why was the file updated? 
When was the file updated? 


METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: tissue engineering, immunofluorescence, PCR, permeability studies

Methods for processing the data: GraphPad Prism used for stats and graphs

Instrument- or software-specific information needed to interpret the data: GraphPad Prism

Standards and calibration information, if appropriate: 

Environmental/experimental conditions: 

Describe any quality-assurance procedures performed on the data: 

People involved with sample collection, processing, analysis and/or submission: Matthew Freer, Kirsty Goncalves


DATA-SPECIFIC INFORMATION FOR: 

Number of variables: 

Number of cases/rows: 

Variable List: <list variable name(s), description(s), unit(s) and value labels as appropriate for each>

Missing data codes: <list code/symbol and definition>

Specialized formats or other abbreviations used: 
