Stimulus-specificity of NFkappaB Signaling in Macrophages

Stimulus-specificity of NFkappaB Signaling in Macrophages

Author: Adewunmi Olumuyiwa Adelaja

Publisher:

Published: 2020

Total Pages: 196

ISBN-13:

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Macrophages are ubiquitous tissue-resident cells that are essential for tissue homeostasis and function. Macrophages initiate, coordinate, and resolve the inflammatory response to pathogens, as well as coordinate tissue repair programs. The inflammatory program of macrophages is largely controlled by the inducible transcription factor NF B. The temporal pattern of NF B activity (signaling dynamics) regulates the immune response of macrophages to a diverse set of ligands. The extent to which NF B signaling dynamics are stimulus-specific is not known. Furthermore, the functions of macrophages are regulated by the cytokine milieu. The effect that cytokine milieu may have on the stimulus specificity of NF B signaling dynamics in primary macrophages has not been reported. In Chapter 2, I examined the specificity of the temporal pattern of NF B nuclear translocation in response to diverse ligands associated with host, bacteria and viruses. Using macrophages isolated from knockin mice that express a fluorescent NF B fusion protein at endogenous levels, I measured and tracked nuclear NF B in individual cells over many hours using an automated image acquisition and analysis workflow. Using supervised machine learning, I quantified the stimulus specificity of NF B signaling dynamics by measuring the performance of ligand classification using NF B activity alone. Then, I tested the hypothesis that NF B signaling dynamics are less stimulus-specific in macrophages from a mouse model of a systemic autoimmune disease (Sj gren's syndrome (S.S.)). My results indicated that oscillatory characteristics that define host-associated and virus-associated ligands are greatly diminished. Close examination of results showed that the sensitivity of classifying host-associated ligands is nearly abolished in SS macrophages. Furthermore, dose response studies of NF B signaling dynamics revealed that the dose specificity of bacterium-associated ligands, but not host- and virus-associated ligands, are diminished in S.S. macrophages. In Chapter 3, I explored the effect of the cytokine milieu on the stimulus specificity of NF B signaling dynamics. Using time-lapse, live cell microscopy, I examined the effect of IFN , IL-4, and TNF conditioning on stimulus specificity of host-, virus-, and bacterium associated ligands. Supervised machine learning revealed that NF B response to virus-associated ligands and bacterium-associated ligands are less distinguishable in the context of IFN conditioning. In contrast, NF B responses to host-associated and pathogen-associated ligands is more distinguishable in the context of IFN conditioning. Examination of NF B dynamics in IFN conditioned macrophages revealed a loss of oscillatory character in response to virus-associated ligands but not to host-associated ligands. Since host-associated and virus-associated ligands induce predominantly oscillatory dynamics in na ve macrophages, abrogation of oscillatory character in response to virus-associated but not to host-associated ligands in IFN conditioning makes the NF B oscillations a distinguishing hallmark of host-associated ligands, at the expense of distinguishing virus-associated ligands from bacterium-associated ligands. The results showed that NF B dynamics are more stimulus-specific in the context of IL-4 conditioning. Close examination of the NF B dynamics showed IL-4 conditioning diminishes responsiveness of NF B translocation to virus-associated ligands, while it preserves the responsiveness to bacterium-associated and host-associated ligands and differentially enhances peak prominence of NF B to bacterium-associated ligands but not to host-associated ligands. Finally, interrogating the effects of TNF conditioning on stimulus specificity of NF B dynamics revealed that bacterium-associated ligands are nearly indistinguishable in the absence of constitutive tonic TNF. Further, NF B response to host-associated and bacterium-associated ligands are less distinguishable. In the absence of constitutive, tonic TNF, oscillatory characteristics of NF B signaling are abolished, which means that host- and bacterium-associated ligands both induce non-oscillatory NF B signaling, whereas NF B responsiveness to virus-associated ligands is nearly abolished. Furthermore, the absence of constitutive, tonic TNF and feedforward, paracrine TNF abrogate the dose specificity of NF B signaling in response to bacteria-associated and host-associated ligands, respectively. In conclusion, the work presented in this dissertation shows that the stimulus-specificity of NF B signaling in macrophages is greatly diminished in a murine model of Sj gren's Syndrome, an autoimmune disorder and that cytokine milieu control the specificity of NF B signaling in macrophages. These findings suggest that modulation of NF B signaling in macrophages by IFN , IL-4, and TNF signaling pathways may yield fruitful pharmaceutical targets for treating autoimmune and infectious diseases.


Molecular Determinants of Stimulus-Specificity in Macrophage Reprogramming

Molecular Determinants of Stimulus-Specificity in Macrophage Reprogramming

Author: Quen Cheng

Publisher:

Published: 2020

Total Pages: 115

ISBN-13:

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The clinical outcome of infectious diseases is largely dictated by the response of the immune system to the pathogen. Immune responses are context-specific and significantly affected by factors such as tissue microenvironment, age, chronic diseases, cytokines, or previous infections. Contextual variables alter immune function by reprogramming cells of the innate immune system such as macrophages, altering their signaling networks and epigenetic states. Importantly, this reprogramming is stimulus-specific, and both the scope and underlying mechanisms of this specificity are areas of great interest. In Chapter Two, we investigate the differential effects of Type I and II interferon (IFN) cytokines on human macrophage reprogramming by employing a sequential conditioning-stimulation approach. Whereas prior studies have examined direct effects of IFNs, we found that IFNs produced indirect effects that could only be appreciated upon subsequent stimulation with a pathogen-associated molecule and transcriptomic analysis across multiple time points. We identified 713 genes that were unaffected by IFN alone, yet after IFN conditioning had an altered gene expression response to a subsequent stimulus. Surprisingly, we also found that the IFNs were not uniformly pro- or anti-inflammatory as previously described. Instead, the effects of Type I and II IFN were gene-specific and stimulus-specific. IFN conditioning affected both signaling networks and the epigenetic state, providing mechanistic explanations for our findings. In Chapter Three we further explore the ability of stimuli to alter the epigenome of macrophages. We found that although many stimuli activate the transcription factor (TF) NF B, only some were capable of altering the enhancer landscape through the formation of de novo enhancers. We showed that the capacity of NF B to produce de novo enhancers was correlated with the temporal dynamics of NF B activity, which are stimulus-specific. In particular, we found that whether NF B is oscillatory or non-oscillatory was the primary determinant of its capacity to reprogram the epigenome. Thus, we propose a novel mechanism based on temporal dynamics to explain why TFs like NF B reprogram macrophage epigenomes in a stimulus-specific manner. Future work will investigate the functional and disease consequences of the de novo enhancers that arise specifically from non-oscillatory NF B-inducing stimuli.


Understanding Immunobiology Through The Specificity of NF-κB

Understanding Immunobiology Through The Specificity of NF-κB

Author: Myong-Hee Sung

Publisher: Frontiers Media SA

Published: 2020-02-20

Total Pages: 122

ISBN-13: 2889635384

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.


Modeling NFkappaB Signaling to Capture Its Dynamical Features

Modeling NFkappaB Signaling to Capture Its Dynamical Features

Author: Xiaofei Lin

Publisher:

Published: 2021

Total Pages: 61

ISBN-13:

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Macrophages are immune sentinel cells that are distributed in every organ. Their physiological function is to detect pathogens, tissue damage, and immune cytokines to initiate and coordinate a multi-phased immune response that is appropriate for the immune threat. How macrophages specify the appropriate response remains unknown. However, recent experimental studies indicate that the dynamics of the signal-responsive transcription factor, nuclear factor kappa B (NFkappaB), constitute a temporal code that conveys to the nucleus information about the presence and type of immune threat in the extra-cellular environment. Here, I constructed a pipeline to fit a high resolution mathematical model of the NFkappaB signaling pathway to single cell experimental data. To address model fitting challenges due to high cell-to-cell variability, I developed a novel feature based objective function based on six so-called 'signaling codons' (i.e. duration, peak, total activity, oscillation content, etc.) identified as crucial for NFkappaB stimulus specificity using mutual information and classification analysis. In addition, I documented the performance of varying optimization algorithms on our large parameter space of 95 biochemical reactions and identified sensitive parameters that specifically tune informative signaling codons. Applications of this high-resolution model include identifying key circuit design principles that encode the observed stimulus-specific use of signaling codons and pinpointing crucial sources of molecular noise that diminish NFkappaB information encoding.


Single-cell NF-kappaB Signaling in Macrophages

Single-cell NF-kappaB Signaling in Macrophages

Author: Brooks Edward Taylor (Jr.)

Publisher:

Published: 2015

Total Pages: 103

ISBN-13: 9781321649277

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The transcription factor NF-[kappa]B is heavily involved in innate immunity, and shows complex dynamic patterns of nuclear translocation in response to many stimuli. These dynamics are hypothesized to contain information about a particular stimulus. Single cell studies of NF-[kappa]B have shown high variability across cells, raising questions about the reliability of biochemical information encoding. Additionally, the majority of work to date has only measured NF-[kappa]B activity in non-immune cell types, leaving the question of how dynamics function in native contexts, like macrophage activation by Toll-like receptor signaling. To answer these questions, I developed an automated image processing algorithm to accurately track individual macrophages over 12-24 hours. I use this algorithm to measure multiple dimensions of macrophage activation, including NF-[kappa]B activity, in fluorescently-tagged cells. Thousands of NF-[kappa]B responses to lipopolysaccharide in macrophages were generated with this automated process, then applied in the development of an algorithm that estimates the information transduction capacities of biochemical networks. I show that NF-[kappa]B dynamics, as well as response dynamics in the ERK and Ca2+ systems, all demonstrate enhanced information transmission compared to nondynamic responses. Theoretical analysis demonstrates that dynamics play a key role in overcoming extrinsic noise. Experimental measurements of information transmission in the ERK network under varying signal-to-noise levels confirm these predictions and show that signaling dynamics mitigate extrinsic noise-induced information loss. By reducing information loss from cell-to-cell variability, dynamic responses improve the accuracy of signaling networks. Finally, I present a study that couples single cell measurements with an iteratively-developed computational model to examine the respective roles of the MyD88 and TRIF pathways in determining dynamic responses TLR4 stimulation. I show how each pathway encodes distinct features in NF-[kappa]B dynamics, and contributes uniquely to the high variability observed in single-cell measurements. In one pathway, the assembly of a macromolecular signaling platform dictates initial response timing and provides for a reliable NF-[kappa]B signal. In the other, ligand-induced receptor translocation and endosomal maturation combine to produce noisy yet sustained NF-[kappa]B signals via TRIF. Thus, I arrive at a predictive understanding of how these molecular mechanisms provide for ligand-dose and pathogen-specific signaling dynamics and information transduction capacities.


A NF-kappaB Temporal Code to Ensure Specificity in Inflammatory Signaling

A NF-kappaB Temporal Code to Ensure Specificity in Inflammatory Signaling

Author: Shannon L. Werner

Publisher:

Published: 2009

Total Pages: 245

ISBN-13:

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Cellular signaling pathways transmit and process signals from receptors to activate gene expression programs that regulate development, cellular life/death decisions, or the coordinated activation of the immune response. While biochemical and molecular biological studies have identified a large number of signaling proteins with diverse adaptor and/or enzymatic functions, recent work has revealed that relatively few transcriptional effector proteins are responsible for specific gene expression programs in response to a large number of stimuli. This begs the question: what mechanisms ensure stimulus-specific gene expression? It has been shown that signaling events are highly dynamic, suggesting that further progress in the understanding of cellular signaling requires quantitative studies that include the temporal dimension. My graduate work has focused on the dynamic regulation of the transcription factor Nuclear Factor kappaB (NF-kB) in response to specific cellular stimuli, the mechanisms that encode stimulus-specific signaling dynamics, their potential functional roles, and the utility of integrated computational and experimental studies in unraveling complex regulatory networks.


The Impact of Food Bioactives on Health

The Impact of Food Bioactives on Health

Author: Kitty Verhoeckx

Publisher: Springer

Published: 2015-04-29

Total Pages: 341

ISBN-13: 3319161040

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“Infogest” (Improving Health Properties of Food by Sharing our Knowledge on the Digestive Process) is an EU COST action/network in the domain of Food and Agriculture that will last for 4 years from April 4, 2011. Infogest aims at building an open international network of institutes undertaking multidisciplinary basic research on food digestion gathering scientists from different origins (food scientists, gut physiologists, nutritionists...). The network gathers 70 partners from academia, corresponding to a total of 29 countries. The three main scientific goals are: Identify the beneficial food components released in the gut during digestion; Support the effect of beneficial food components on human health; Promote harmonization of currently used digestion models Infogest meetings highlighted the need for a publication that would provide researchers with an insight into the advantages and disadvantages associated with the use of respective in vitro and ex vivo assays to evaluate the effects of foods and food bioactives on health. Such assays are particularly important in situations where a large number of foods/bioactives need to be screened rapidly and in a cost effective manner in order to ultimately identify lead foods/bioactives that can be the subject of in vivo assays. The book is an asset to researchers wishing to study the health benefits of their foods and food bioactives of interest and highlights which in vitro/ex vivo assays are of greatest relevance to their goals, what sort of outputs/data can be generated and, as noted above, highlight the strengths and weaknesses of the various assays. It is also an important resource for undergraduate students in the ‘food and health’ arena.


Myeloma Bone Disease

Myeloma Bone Disease

Author: G. David Roodman

Publisher: Springer Science & Business Media

Published: 2010-04-28

Total Pages: 257

ISBN-13: 1607615541

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This book presents the forefront in the science and clinical management of myeloma bone disease. Coverage begins with sections on clinical presentation, imaging, and biochemical markers and goes on to discuss radiation, surgical, and medical therapies.


Transcriptional Regulation in Eukaryotes

Transcriptional Regulation in Eukaryotes

Author: Michael F. Carey

Publisher: CSHL Press

Published: 2000

Total Pages: 684

ISBN-13: 9780879696351

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In the genome era, the analysis of gene expression has become a critical requirement in many laboratories. But there has been no comprehensive source of strategic, conceptual, and technical information to guide this often complex task. Transcriptional Regulation in Eukaryotes answers that need. Written by two experienced investigators, Michael Carey and Stephen Smale at the UCLA School of Medicine, and based in part on the Gene Expression course taught at Cold Spring Harbor Laboratory, this book directly addresses all the concerns of a laboratory studying the regulation of a newly isolated gene and the biochemistry of a new transcription factor. This important and unique book is essential reading for anyone pursuing the analysis of gene expression in model systems or disease states.