AEIC virulence genes and adhesion

Georgia Bradford; Jaya Sully; Edward Chou; Behnoush Asgari; Eva Hatje; Anna Kuballa; Mohammad Katouli

doi:10.25912/rdf_1779852834135

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AEIC virulence genes and adhesion

Georgia Bradford, Jaya Sully, Edward Chou, Behnoush Asgari, Eva Hatje, Anna Kuballa and Mohammad Katouli

Queensland University of Technology

2026

DOI: https://doi.org/10.25912/rdf_1779852834135

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adhesion-and-invasion-results18.61 kBDownload View

Data Open Access CC BY V4.0

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Data Open Access CC BY V4.0

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Abstract

medical microbiology

intestinal cell co-culture model

Caco2:HT29-MTX cells

ibeA

virulence genes

gene expression

HtrA

adherent-invasive Escherichlia coli (AIEC)

Dataset (PCR results) This dataset combines within a single worksheet raw molecular data for 36 E. coli strains isolated from Inflammatory Bowel Disease (IBD) patients. The first component consists of PCR-based detection results for virulence genes, recorded as raw presence/absence values for genes such as htrA, ompC, ibeA, clbA, dsbA, afaC, and lpfA. The second component includes raw gene expression measurements for the same genes following interaction with a Caco2:HT29-MTX epithelial co-culture, capturing unprocessed expression values associated with adhesion and invasion conditions. Dataset (Adhesion and Invasion Assay) This dataset is stored in a separate worksheet and contains raw quantitative measurements of bacterial adhesion to and invasion of intestinal epithelial cells. Each entry represents experimental observations for individual E. coli strains, providing counts or CFU that reflect their ability to adhere to and invade the Caco2:HT29-MTC co-culture model.

Details

Title: AEIC virulence genes and adhesion
Authors: Georgia Bradford (Data Collector) - University of the Sunshine Coast
Jaya Sully (Data Collector) - University of the Sunshine Coast
Edward Chou (Data Collector) - Queensland University of Technology
Behnoush Asgari (Data Collector) - University of the Sunshine Coast
Eva Hatje (Data Collector) - Queensland University of Technology
Anna Kuballa (Data Collector) - University of the Sunshine Coast
Mohammad Katouli (Data Collector) - University of the Sunshine Coast
Format: Microsoft Excel (.xlsx); Total: 52 KB
Location: Sippy Downs campus of the University of the Sunshine Coast, Australia.
Publisher: Queensland University of Technology
Date collected: 2020–2025
Date published: 2026
DOI: 10.25912/rdf_1779852834135
Copyright note: © Queensland University of Technology and University of the Sunshine Coast, 2026. Creative Commons Attribution 4.0 (CC-BY)
Organisation Unit: School of Health - Biomedicine; UniSC Clinical Trials Centre; School of Science, Technology and Engineering
Language: English
Record Identifier: 991233582302621
Output Type: Dataset

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