Regulation of autophagy by Salmonella
A combined computational and wet lab approach to understand how Salmonella is controlling our cells in the gut.
Led by: Korcsmáros Group
Start date: 17 March 2014
Our key research aim is to examine how the functions of intestinal cells are compromised as a consequence of autophagy down-regulation, caused by Salmonella infection. Autophagy is a common recycling process in which cells degrade their unnecessary or damaged parts. It is important in the defence against infections, which is why pathogens like Salmonella hijack it. Bacteria such as Salmonella enter gut cells and then aim to avoid those cells’ degradation. A better understanding of how they do it would help us to develop new drugs or treatments for several illnesses.
We develop new bioinformatics resources and combine existing technologies for studying the host response to infection. We identify human gut cell autophagy proteins whose quantity changes with Salmonella infection. Using bioinformatics tools and resources we search for the affected proteins’ associated regulators, and test the likely candidates in experiments. Rather than experiment with actual peoples’ (or animals’) intestines, we use organ cultures (‘organoids’), which are near-physiological 3D model systems that facilitate studying a range of in vivo biological processes including cell differentiation, anti-microbial peptide production, and host-microbe interactions.
The validated autophagy regulators affected by Salmonella could enable drug development projects of pharmaceutical companies to design novel drugs against Salmonella infection (which is the second most common cause of childhood mortality in the developing world), and the list of Salmonella-affected proteins can be used to develop gut health promoting treatments and personalised medicine-based strategies to identify risk for certain diseases.
In the last decade, network representation has allowed us to identify essential molecules at the systems-level. It has also furthered our understanding of how changes in cellular processes can lead to complex diseases, such as inflammatory bowel disease (IBD) and cancer. Many changes have apparent pro- or anti-disease effects but there are some processes for which the effect is not that clear. One of them is autophagy, a cellular degradation process. Autophagy is known to be important in stress responses, regulation of inflammation, and intestinal homeostasis, including the elimination of intracellular pathogens. Conversely, autophagy is often hijacked or manipulated by intestinal pathogenic bacteria, such as Salmonella. A better understanding the effect of certain bacterial species on the regulation of human intestinal autophagy could help us to propose IBD and colon cancer prognosis markers.
Autophagy is a complex cellular process and its major post-translational regulators are well known, however, they have not yet been collected comprehensively. The precise and context dependent regulation of autophagy necessitates additional regulators, including transcriptional and post-transcriptional components that are listed in various datasets. Prompted by the lack of systems-level autophagy-related information, we developed an online resource, Autophagy Regulatory Network (ARN), to provide an integrated database for autophagy research. ARN contains manually curated, imported and predicted interactions of autophagy components in humans. We listed transcription factors and miRNAs that could regulate autophagy components or their protein regulators.
The user-friendly website of ARN allows researchers without computational background to search, browse and download the database. The database can be downloaded in various file formats. ARN has the potential to facilitate the experimental validation of novel autophagy components and regulators. In addition, ARN helps the investigation of transcription factors, miRNAs and signaling pathways implicated in the control of the autophagic pathway.
ARN can be used to examine the autophagy system in humans for both global or for gene-specific studies and will assist researchers in their investigation of the autophagic process. ARN contains manually curated, imported and predicted interactions of autophagy components, their post-translattional, transcriptional and post-transcriptonal regulators (enzymes, transcription factors and microRNAs), and the dataset is available in several community standard file formats.
SalmoNet combines manual curation, high-throughput data and computational predictions to provide an integrated network for Salmonella at the transcriptional regulatory, metabolic and protein-protein interaction levels. SalmoNet provides the networks separately for five gastro-intestinal and five extra-intestinal strains. SalmoNet as a multi-layered, multi-strain database containing experimental data is the first dedicated network resource for Salmonella.
Klionsky DJ, […], Korcsmáros T, […] (2016), (3rd edition). Autophagy 12(1):1-222.
SalmoNet, an integrated network of ten Salmonella enterica strains reveals common and distinct pathways to host adaptation
Métris A, Sudhakar P, Fazekas D, Demeter A, Ari E, Branchu P, Kingsley RA, Baranyi J, Korcsmáros T. (Under review)
The transcriptomics and miRNA analysis of the organoid samples are being carried out with the sequencing platform of EI. We used the HPC cluster to predict the transcriptional regulatory networks of Salmonella strains.
Robert A. Kingsley
IFR - collaborator in the development of SalmoNet and in the validation of Salmonella-autophagy connections.
IFR - collaborator in the development of SalmoNet.
IFR/UEA - collaborator in the organoid works for the validation of Salmonella-autophagy connections.
IFR - collaborator in the validation of Salmonella-autophagy connections.
With this project we will identify the systems level, dynamic relationship between a gut pathogen, Salmonella and a host defense mechanism, autophagy. The complex interplay between Salmonella and autophagy has been investigated in the last two decades, providing a substantial amount of data for this project. We will advance our understanding by investigating the multi-scale nature of the Salmonella-autophagy connection, focusing specifically on pathways in intestinal cells and the homeostasis of the gut.
Throughout the project, we iteratively combine state-of-the-art and novel computational and experimental methods (network analysis and organoid infection works) and build on existing in silico and wet lab resources. The results will extend our understanding of Salmonella infection (from causing mild food poisoning to life-threatening gastrointestinal diseases in humans and animal livestock) and the role of intestinal cells during infection and, in general, to the maintenance of gut homeostasis.