Biology subjects

Treveil, A.

Publications and source records attributed to Treveil, A..

6 recordsLinked to original sources

bioRxiv2021

CytokineLink: a cytokine communication map to analyse immune responses in inflammatory and infectious diseases

Intercellular communication mediated by cytokines is critical to the development of immune responses, particularly in the context of infectious and inflammatory diseases. By releasing these small molecular weight peptides, the source cells can influence numerous intracellular processes in the target cells, including the secretion of other cytokines downstream. However, there are no readily available bioinformatic resources that can model cytokine - cytokine interactions. In this effort, we built a communication map between major tissues and blood cells that reveals how cytokine-mediated intercellular networks form during homeostatic conditions. We collated the most prevalent cytokines from literature, and assigned the proteins and their corresponding receptors to source tissue and blood cell types based on enriched consensus RNA-Seq data from the Human Protein Atlas database. To assign more confidence to the interactions, we integrated literature information on cell - cytokine interactions from two systems immunology databases, immuneXpresso and ImmunoGlobe. From the collated information, we defined two metanetworks: a cell-cell communication network connected by cytokines; and a cytokine-cytokine interaction network depicting the potential ways in which cytokines can affect the activity of each other. Using expression data from disease states, we then applied this resource to reveal perturbations in cytokine-mediated intercellular signalling in inflammatory and infectious diseases (ulcerative colitis and COVID-19, respectively). For ulcerative colitis, with CytokineLink we demonstrated a significant rewiring of cytokine-mediated intercellular communication between non-inflamed and inflamed colonic tissues. For COVID-19, we were able to identify inactive cell types and cytokine interactions that may be important following SARS-CoV-2 infection when comparing the cytokine response with other viruses capable of initiating a cytokine storm. Such findings have potential to inform the development of novel, cytokine-targeted therapeutic strategies. CytokineLink is freely available for the scientific community through the NDEx platform and the project github repository (https://github.com/korcsmarosgroup/CytokineLink).

bioinformatics↗

bioRxiv2021

Reprogramming of the intestinal epithelial-immune cell interactome during SARS-CoV-2 infection

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) represents an unprecedented worldwide health problem. Although the primary site of infection is the lung, growing evidence points towards a crucial role of the intestinal epithelium. Yet, the exact effects of viral infection and the role of intestinal epithelial-immune cell interactions in mediating the inflammatory response are not known. In this work, we apply network biology approaches to single-cell RNA-seq data from SARS-CoV-2 infected human ileal and colonic organoids to investigate how altered intracellular pathways upon infection in intestinal enterocytes leads to modified epithelial-immune crosstalk. We point out specific epithelial-immune interactions which could help SARS-CoV-2 evade the immune response. By integrating our data with existing experimental data, we provide a set of epithelial ligands likely to drive the inflammatory response upon infection. Our integrated analysis of intra- and inter-cellular molecular networks contribute to finding potential drug targets, and suggest using existing anti-inflammatory therapies in the gut as promising drug repurposing strategies against COVID-19.

bioinformatics↗

bioRxiv2020

ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways

The SARS-CoV-2 pandemic of 2020 has mobilised scientists around the globe to research all aspects of the coronavirus virus and its infection. For fruitful and rapid investigation of viral pathomechanisms, a collaborative and interdisciplinary approach is required. Therefore, we have developed ViralLink: a systems biology workflow which reconstructs and analyses networks representing the effect of viruses on intracellular signalling. These networks trace the flow of signal from intracellular viral proteins through their human binding proteins and downstream signalling pathways, ending with transcription factors regulating genes differentially expressed upon viral exposure. In this way, the workflow provides a mechanistic insight from previously identified knowledge of virally infected cells. By default, the workflow is set up to analyse the intracellular effects of SARS-CoV-2, requiring only transcriptomics counts data as input from the user: thus, encouraging and enabling rapid multidisciplinary research. However, the wide-ranging applicability and modularity of the workflow facilitates customisation of viral context, a priori interactions and analysis methods. Through a case study of SARS-CoV-2 infected bronchial/tracheal epithelial cells, we evidence the functionality of the workflow and its ability to identify key pathways and proteins in the cellular response to infection. The application of ViralLink to different viral infections in a cell-type specific manner using different available transcriptomics datasets will uncover key mechanisms in viral pathogenesis. The workflow is available on GitHub (https://github.com/korcsmarosgroup/ViralLink) in an easily accessible Python wrapper script, or as customisable modular R and Python scripts.Author summary Collaborative and multidisciplinary science provides increased value for experimental datasets and speeds the process of discovery. Such ways of working are especially important at present due to the urgency of the SARS-CoV-2 pandemic. Here, we present a systems biology workflow which models the effect of viral proteins on the infected host cell, to aid collaborative and multidisciplinary research. Through integration of gene expression datasets with context-specific and context-agnostic molecular interaction datasets, the workflow can be easily applied to different datasets as they are made available. Application to diverse SARS-CoV-2 datasets will increase our understanding of the mechanistic details of the infection at a cell type specific level, aid drug target discovery and help explain the variety of clinical manifestations of the infection.Competing Interest StatementThe authors have declared no competing interest.View Full Text

systems biology↗

bioRxiv2020

Bifidobacterium breve UCC2003 induces a distinct global transcriptomic programme in neonatal murine intestinal epithelial cells

Bifidobacterium is an important gut microbiota member during early life that is associated with improved gut health. However, the underlying health-driving mechanisms are not well understood, particularly how Bifidobacterium may modulate the intestinal barrier via programming of intestinal epithelial cells (IECs). In this study, we sought to investigate the global impact of model strain Bifidobacterium breve UCC2003 on the neonatal IEC transcriptome, including gene regulation and pathway modulation. Small IECs from two-week-old neonatal mice administered B. breve UCC2003 for three consecutive days or PBS (control group) were subjected to global RNASeq, with various bioinformatic approaches used to determine differentially expressed genes, pathways and affected cell types between control and experimental groups. Whilst colonisation with B. breve had minimal impacts on the neonatal microbiota, we observed extensive regulation of the IEC transcriptome; ~4,000 genes significantly up-regulated, including key genes associated with epithelial barrier function. Enrichment of cell differentiation and cell proliferation pathways were observed, along with an overrepresentation of stem cell marker genes, indicating an increase in the regenerative potential of the epithelial layer. Expression of distinct immune-associated pathway members (e.g. Toll-like Receptors) were also affected after neonatal B. breve colonisation. In conclusion, B. breve UCC2003 plays a central role in driving universal transcriptomic changes in neonatal IECs that enhances cell replication, differentiation and growth, predominantly in the stem cell compartment. This study enhances our overall understanding of the benefits of B. breve in driving intestinal epithelium homeostatic development during early life, with potential avenues to develop novel live biotherapeutic products.

immunology↗

bioRxiv2019

Bifidobacterium breve UCC2003 exopolysaccharide modulates the early life microbiota by acting as a dietary substrate

Members of the genus Bifidobacterium represent an important bacterial group for promoting health during early life. Previous studies have indicated that bifidobacterial exopolysaccharides (EPS) are involved in host interactions, with purified EPS also suggested to modulate microbe-microbe interactions by acting as a nutrient substrate. To further explore the role of EPS as a potential dietary component, we determined the longitudinal effects of bifidobacterial EPS on microbial communities and metabolite profiles using an infant model colon system. Bifidobacterium breve UCC2003 was utilised as a representative early life bifidobacterial strain, and a corresponding isogenic EPS-deletion mutant (B. breve UCC2003 EPS-). Initial transcriptomics analysis of the EPS mutant vs. parent B. breve UCC2003 strain highlighted differential expression in a discrete number of genes, including the eps biosynthetic cluster, though overall growth dynamics between the two strains were unaffected. Model colon vessels were inoculated with B. breve strains and microbiome dynamics were monitored using metataxonomic (via 16S rRNA sequencing) and metabolomic (via 1H NMR) approaches. Baseline early life microbiota profiles were similar between vessels, with persistence of B. breve (EPS+ and EPS-) observed between 0-36h. Within the EPS-positive vessel there was a significant shift in microbiome and metabolite profiles until the end of the study (405h); we observed increases of Escherichia and Tyzzerella, and short-chain fatty acids including acetate, propionate and formate, including further correlations between taxa and metabolites which were not observed in the EPS-negative vessel. These data indicate that the B. breve UCC2003 EPS is potentially being metabolised by members of the infant microbial community, leading to differential microbial metabolism and altered metabolite by-products. Overall, these findings may allow for development of EPS-specific strategies to beneficially alter the early life microbiota to promote infant health.

microbiology↗

bioRxiv2019

Identification of master regulators in goblet cells and Paneth cells using transcriptomics profiling of gut organoids and multi-layered networks

The epithelial lining of the small intestine consists of multiple cell types, including Paneth cells and goblet cells, that work in cohort to maintain gut health. 3D in vitro cultures of human primary epithelial cells, called organoids, have become a key model to study the functions of Paneth cells and goblet cells in normal and diseased conditions. Advances in these models include the ability to skew differentiation to particular lineages, providing a useful tool to study cell type specific function/dysfunction in the context of the epithelium. Here, we use comprehensive profiling of mRNA, microRNA and long non-coding RNA expression to confirm that Paneth cell and goblet cell enrichment of murine small intestinal organoids (enteroids) establishes a physiologically accurate model. We employ network analysis to infer the regulatory landscape altered by skewing differentiation, and using knowledge of cell type specific markers, we predict key regulators of cell type specific functions: Cebpa, Jun, Nr1d1 and Rxra specific to Paneth cells, Gfi1b and Myc specific for goblet cells and Ets1, Nr3c1 and Vdr shared between them. Links identified between these regulators and cellular phenotypes of inflammatory bowel disease (IBD) suggest that global regulatory rewiring during or after differentiation of Paneth cells and goblet cells could contribute to IBD aetiology. Future application of cell type enriched enteroids combined with the presented computational workflow can be used to disentangle multifactorial mechanisms of these cell types and propose regulators whose pharmacological targeting could be advantageous in treating IBD patients with Crohns disease or ulcerative colitis.\n\nTable of contentsWe demonstrate the application of network biology techniques to increase understanding of intestinal dysbiosis through studying transcriptomics data from Paneth and goblet cell enriched enteroids.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC=\"FIGDIR/small/575845v4_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (25K):\norg.highwire.dtl.DTLVardef@16637e5org.highwire.dtl.DTLVardef@1dfaa77org.highwire.dtl.DTLVardef@1307c00org.highwire.dtl.DTLVardef@1d16e0_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗