High-content screening image dataset and quantitative image analysis of Salmonella infected human cells
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Objectives Salmonella bacteria can induce the unfolded protein response, a cellular stress response to misfolding proteins within the endoplasmic reticulum. Salmonella can exploit the host unfolded protein response leading to enhanced bacterial replication which was in part mediated by the induction and/or enhanced endo-reticular membrane synthesis. We therefore wanted to establish a quantitative confocal imaging assay to measure endo-reticular membrane expansion following Salmonella infections of host cells. Data description High-content screening confocal fluorescence microscopic image set of Salmonella infected HeLa cells is presented. The images were collected with a PerkinElmer Opera LX high-content screening system in seven 96-well plates, 50 field-of-views and DAPI, endoplasmic reticulum tracker channels and Salmonella mCherry protein in each well. Totally 93,300 confocal fluorescence microscopic images were published in this dataset. An ImageJ high-content image analysis workflow was used to extract features. Cells were classified as infected and non-infected, the mean intensity of endoplasmic reticulum tracker under Salmonella bacteria was calculated. Statistical analysis was performed by an R script, quantifying infected and non-infected cells for wild-type and ΔsifA mutant cells. The dataset can be further used by researchers working with big data of endoplasmic reticulum fluorescence microscopic images, Salmonella bacterial infection images and human cancer cells.
Antoniou , A N , Powis , S J & Kriston-Vizi , J 2019 , ' High-content screening image dataset and quantitative image analysis of Salmonella infected human cells ' , BMC Research Notes , vol. 12 , 808 . https://doi.org/10.1186/s13104-019-4844-5
BMC Research Notes
Copyright © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
DescriptionThis work was supported by the Medical Research Council Core funding the MRC LMCB (MC_U12266B) (JKV) and the EU FP7 Marie-Curie International Reintegration Grant PIRG08-GA-2010-276811 (JKV). ANA was funded by ARUK Fellowships Non-Clinical Career Development Fellowship Ref No: 18440. ANA and SJP were also in part funded by ARUK (Grant 21261).
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