MicroRNA regulation of bovine monocyte inflammatory and metabolic networks in an in vivo infection model.

peer-reviewedBovine mastitis is an inflammation-driven disease of the bovine mammary gland that costs the global dairy industry several billion dollars per annum. Because disease susceptibility is a multi-factorial complex phenotype, an integrative biology approach is required to dissect the molecular networks involved. Here, we report such an approach, using next generation sequencing combined with advanced network and pathway biology methods to simultaneously profile mRNA and miRNA expression at multiple time-points (0, 12, 24, 36 and 48h) in both milk and blood FACS-isolated CD14+ monocytes from animals infected in vivo with Streptococcus uberis. More than 3,700 differentially expressed (DE) genes were identified in milk-isolated monocytes (MIMs), a key immune cell recruited to the site of infection during mastitis. Up-regulated genes were significantly enriched for inflammatory pathways, while down-regulated genes were enriched for non-glycolytic metabolic pathways. Monocyte transcriptional changes in the blood, however, were more subtle but highlighted the impact of this infection systemically. Genes up-regulated in blood-isolated-monocytes (BIMs) showed a significant association with interferon and chemokine signalling. Furthermore, twenty-six miRNAs were differentially expressed in MIMs and three in BIMs. Pathway analysis revealed that predicted targets of down-regulated miRNAs were highly enriched for roles in innate immunity (FDR < 3.4E-8) in particular TLR signalling, while up-regulated miRNAs preferentially targeted genes involved in metabolism. We conclude that during S. uberis infection miRNAs are key amplifiers of monocyte inflammatory response networks and repressors of several metabolic pathways.This study was funded in part by Teagasc RMIS 6018 and United States Department of Agriculture ARS funding 3625-32000-102-00. NL is supported by a Teagasc Walsh Fellowship

Single-cell transcriptomics to explore the immune system in health and disease

The immune system varies in cell types, states, and locations. The complex networks, interactions, and responses of immune cells produce diverse cellular ecosystems composed of multiple cell types, accompanied by genetic diversity in antigen receptors. Within this ecosystem, innate and adaptive immune cells maintain and protect tissue function, integrity, and homeostasis upon changes in functional demands and diverse insults. Characterizing this inherent complexity requires studies at single-cell resolution. Recent advances such as massively parallel single-cell RNA sequencing and sophisticated computational methods are catalyzing a revolution in our understanding of immunology. Here we provide an overview of the state of single-cell genomics methods and an outlook on the use of single-cell techniques to decipher the adaptive and innate components of immunity.National Institute of Allergy and Infectious Diseases (U.S.) (Grant U24AI118672)National Institute of Allergy and Infectious Diseases (U.S.) (Grant R24AI072073

Bet v 1 triggers antiviral-type immune signalling in birch-pollen-allergic individuals

Background In allergic patients, clinical symptoms caused by pollen remind of symptoms triggered by viral respiratory infections, which are also the main cause of asthmatic exacerbations. In patients sensitized to birch pollen, Bet v 1 is the major symptom-causing allergen. Immune mechanisms driving Bet v 1-related responses of human blood cells have not been fully characterized. Objective To characterize the immune response to Bet v 1 in peripheral blood in patients allergic to birch pollen. Methods The peripheral blood mononuclear cells of birch-allergic (n = 24) and non-allergic (n = 47) adolescents were stimulated ex-vivo followed by transcriptomic profiling. Systems-biology approaches were employed to decipher disease-relevant gene networks and deconvolution of associated cell populations. Results Solely in birch-allergic patients, co-expression analysis revealed activation of networks of innate immunity and antiviral signalling as the immediate response to Bet v 1 stimulation. Toll-like receptors and signal transducer transcription were the main drivers of gene expression patterns. Macrophages and dendritic cells were the main cell subsets responding to Bet v 1. Conclusions and clinical relevance In birch-pollen-allergic patients, the activated innate immune networks seem to be, in part, the same as those activated during viral infections. This tendency of the immune system to read pollens as viruses may provide new insight to allergy prevention and treatment.Peer reviewe

Transcriptional characterization of macrophages reveals unexpected novel biology

Macrophages are very plastic and versatile immune cells in response to different environmental signals. Similar phenomenon has been observed for other myeloid compartment, such as monocytes. Moreover, it has been described that different tissue macrophage subpopulations have distinct origins. In this dissertation, I systematically analyzed a large resource dataset to assess transcriptional regulation during human macrophage activation by comparing a diverse set of stimuli on a single microarray platform under highly standardized conditions. Network modeling of this dataset led to the extension of the current M1 versus M2 polarization model to a “multi-dimensional model” with at least nine distinct macrophage activation programs. Applying these transcriptional programs to human in vivo alveolar macrophages from smokers and patients with chronic obstructive pulmonary disease (COPD) revealed an unexpected biology. Reverse engineering of large transcriptional dataset by integrating multiple network inference approaches sharpens the resolution of the common macrophage activation regulatory networks. And the refined network indicated that transcription factors are the most important components in regulatory circuits involved in macrophage activation. Furthermore, by applying the same computational methodologies to a transcriptomic dataset of infected human peripheral blood mononuclear cells (PBMC), I extended my studies to identify common and stimulus-specific transcriptional programs in host defense against bacteria and fungi. By combination of knowledge-based and data-driven analysis, I propose refined pathway models for these microbial infections on transcriptional level. Finally, computational studies on gene expression profiles for embryonic and adult tissue macrophages from both wild type and Irf8-deficient mice revealed distinct origins and transcriptional profiles of different tissue macrophage subpopulations and a crucial role of Irf8 in macrophage ontogeny and homeostasis. Overall, applying systems biology approaches, especially advanced methods on large enough transcriptional datasets enables robust and accurate statistical predictions. Thus, the studies on macrophages or myeloid cells using these approaches successfully uncovered the complex dynamic regulatory networks of these cells and reflected a hitherto unexplored biology

Plasticity in gene expression programmes of dendritic cells responding to antigens.

Dendritic cells (DCs) are professional antigen presenting cells whose function is to initiate and shape an appropriate adaptive immune response. This requires an ability to distinguish differences between whole pathogens, in order to orchestrate effective downstream immunological outcomes. However, cellular re-programming of DC functions during these events are not well understood. A paradigm of dendritic cell biology is that DCs have two modes of function that relate to their differentiation states. An immature DC functions as an immune sentinel, to monitor and interrogate its surroundings for pathogens. Encounter with such stimuli results in a process termed "maturation", where DCs acquire the properties of effective antigen presenting cells. However, this process of differentiation is complex. In this thesis, gene expression profiling of DCs exposed to pathogen components has revealed three distinct phases of maturation, with statistically significant expression of subsets of genes characterising these phases. Transcriptional regulation of the signalling pathways involving p38 and ERK MAP kinases important to DC function were identified. Specific inhibitors of p38 and ERK confirmed their differential role in DC maturation, with p38 activity being necessary for the initiation of DC maturation, whilst ERK activity persists to maintain DC survival. Concurrent with the core maturation process is the DCs' ability to differentially respond to pathogens. Gene expression analysis of DCs exposed to whole viruses supports the model of DC plasticity to different pathogenic stimuli. Using exploratory cluster analysis and a novel vector algebra method, core and pathogen-specific gene expression programmes were identified. The programmes involving the differential regulation of cytokines were confirmed at the transcript level and at the protein level. Together these data show that DCs mature to effective antigen presenting cells via an orchestrated pattern of at least three gene expression programmes. Superimposed on this core maturation response are pathogen-specific transcriptional programmes. Therefore, we conclude that DCs can translate different pathogenic stimuli into core DC maturation and pathogen-specific responses that together shape an appropriate adaptive immune response

Landscape of stimulation-responsive chromatin across diverse human immune cells.

A hallmark of the immune system is the interplay among specialized cell types transitioning between resting and stimulated states. The gene regulatory landscape of this dynamic system has not been fully characterized in human cells. Here we collected assay for transposase-accessible chromatin using sequencing (ATAC-seq) and RNA sequencing data under resting and stimulated conditions for up to 32 immune cell populations. Stimulation caused widespread chromatin remodeling, including response elements shared between stimulated B and T cells. Furthermore, several autoimmune traits showed significant heritability in stimulation-responsive elements from distinct cell types, highlighting the importance of these cell states in autoimmunity. Allele-specific read mapping identified variants that alter chromatin accessibility in particular conditions, allowing us to observe evidence of function for a candidate causal variant that is undetected by existing large-scale studies in resting cells. Our results provide a resource of chromatin dynamics and highlight the need to characterize the effects of genetic variation in stimulated cells

Transcriptional networks in plasmacytoid dendritic cells stimulated with synthetic TLR 7 agonists

<p>Abstract</p> <p>Background</p> <p>Plasmacytoid Dendritic Cells (pDC) comprise approximately 0.2 to 0.8% of the blood mononuclear cells and are the primary type 1 interferon (IFN), producing cells, secreting high levels of IFN in response to viral infections. Plasmacytoid dendritic cells express predominantly TLRs 7 & 9, making them responsive to ssRNA and CpG DNA. The objective of this study was to evaluate the molecular and cellular processes altered upon stimulation of pDC with synthetic TLR 7 and TLR 7/8 agonists. To this end, we evaluated changes in global gene expression upon stimulation of 99.9% pure human pDC with the TLR7 selective agonists 3M-852A, and the TLR7/8 agonist 3M-011.</p> <p>Results</p> <p>Global gene expression was evaluated using the Affymetrix U133A GeneChip^®and selected genes were confirmed using real time TaqMan^®RTPCR. The gene expression profiles of the two agonists were similar indicating that changes in gene expression were solely due to stimulation through TLR7. Type 1 interferons were among the highest induced genes and included IFNB and multiple IFNα subtypes, IFNα2, α5, α6, α8, α1/13, α10, α14, α16, α17, α21. A large number of chemokines and co-stimulatory molecules as well as the chemokine receptor CCR7 were increased in expression indicating maturation and change in the migratory ability of pDC. Induction of an antiviral state was shown by the expression of several IFN-inducible genes with known anti-viral activity. Further analysis of the data using the pathway analysis tool MetaCore gave insight into molecular and cellular processes impacted. The analysis revealed transcription networks that show increased expression of signaling components in TLR7 and TLR3 pathways, and the cytosolic anti-viral pathway regulated by RIG1 and MDA5, suggestive of optimization of an antiviral state targeted towards RNA viruses. The analysis also revealed increased expression of a network of genes important for protein ISGylation as well as an anti-apoptotic and pro-survival gene expression program.</p> <p>Conclusion</p> <p>Thus this study demonstrates that as early as 4 hr post stimulation, synthetic TLR7 agonists induce a complex transcription network responsible for activating pDC for innate anti-viral immune responses with optimized responses towards RNA viruses, increased co-stimulatory capacity, and increased survival.</p

Chronic Stress, Inflammation, and Colon Cancer: A CRH System-Driven Molecular Crosstalk.

Chronic stress is thought to be involved in the occurrence and progression of multiple diseases, via mechanisms that still remain largely unknown. Interestingly, key regulators of the stress response, such as members of the corticotropin-releasing-hormone (CRH) family of neuropeptides and receptors, are now known to be implicated in the regulation of chronic inflammation, one of the predisposing factors for oncogenesis and disease progression. However, an interrelationship between stress, inflammation, and malignancy, at least at the molecular level, still remains unclear. Here, we attempt to summarize the current knowledge that supports the inseparable link between chronic stress, inflammation, and colorectal cancer (CRC), by modulation of a cascade of molecular signaling pathways, which are under the regulation of CRH-family members expressed in the brain and periphery. The understanding of the molecular basis of the link among these processes may provide a step forward towards personalized medicine in terms of CRC diagnosis, prognosis and therapeutic targeting

Differential responses of plasmacytoid dendritic cells to influenza virus and distinct viral pathogens.

Plasmacytoid dendritic cells (pDCs) are key components of the innate immune response that are capable of synthesizing and rapidly releasing vast amounts of type I interferons (IFNs), particularly IFN-α. Here we investigated whether pDCs, often regarded as a mere source of IFN, discriminate between various functionally discrete stimuli and to what extent this reflects differences in pDC responses other than IFN-α release. To examine the ability of pDCs to differentially respond to various doses of intact and infectious HIV, hepatitis C virus, and H1N1 influenza virus, whole-genome gene expression analysis, enzyme-linked immunosorbent assays, and flow cytometry were used to investigate pDC responses at the transcriptional, protein, and cellular levels. Our data demonstrate that pDCs respond differentially to various viral stimuli with significant changes in gene expression, including those involved in pDC activation, migration, viral endocytosis, survival, or apoptosis. In some cases, the expression of these genes was induced even at levels comparable to that of IFN-α. Interestingly, we also found that depending on the viral entity and the viral titer used for stimulation, induction of IFN-α gene expression and the actual release of IFN-α are not necessarily temporally coordinated. In addition, our data suggest that high-titer influenza A (H1N1) virus infection can stimulate rapid pDC apoptosis. IMPORTANCE Plasmacytoid dendritic cells (pDCs) are key players in the viral immune response. With the host response to viral infection being dependent on specific virus characteristics, a thorough examination and comparison of pDC responses to various viruses at various titers is beneficial for the field of virology. Our study illustrates that pDC infection with influenza virus, HIV, or hepatitis C virus results in a unique and differential response to each virus. These results have implications for future virology research, vaccine development, and virology as a whole

Dissecting interferon-induced transcriptional programs in human peripheral blood cells

Interferons are key modulators of the immune system, and are central to the control of many diseases. The response of immune cells to stimuli in complex populations is the product of direct and indirect effects, and of homotypic and heterotypic cell interactions. Dissecting the global transcriptional profiles of immune cell populations may provide insights into this regulatory interplay. The host transcriptional response may also be useful in discriminating between disease states, and in understanding pathophysiology. The transcriptional programs of cell populations in health therefore provide a paradigm for deconvoluting disease-associated gene expression profiles.We used human cDNA microarrays to (1) compare the gene expression programs in human peripheral blood mononuclear cells (PBMCs) elicited by 6 major mediators of the immune response: interferons alpha, beta, omega and gamma, IL12 and TNFalpha; and (2) characterize the transcriptional responses of purified immune cell populations (CD4+ and CD8+ T cells, B cells, NK cells and monocytes) to IFNgamma stimulation. We defined a highly stereotyped response to type I interferons, while responses to IFNgamma and IL12 were largely restricted to a subset of type I interferon-inducible genes. TNFalpha stimulation resulted in a distinct pattern of gene expression. Cell type-specific transcriptional programs were identified, highlighting the pronounced response of monocytes to IFNgamma, and emergent properties associated with IFN-mediated activation of mixed cell populations. This information provides a detailed view of cellular activation by immune mediators, and contributes an interpretive framework for the definition of host immune responses in a variety of disease settings