bioRxiv Science⌕ Search

Biology subjects

Paszek, P.

Publications and source records attributed to Paszek, P..

9 recordsLinked to original sources

Heritable single-cell gene expression states shape functional variability in innate immune responses

Activation of innate immunity at the single-cell level is inherently heterogeneous, yet the mechanisms underlying this variability remain incompletely understood. Here, we integrate transcriptomics, high-content imaging and mathematical modelling to quantify transcriptional heritability within the evolutionarily conserved Toll-like receptor (TLR) system. RNA-seq-based fluctuation tests identified a subset of TLR4-dependent genes, including cytokines and immune effectors, that retain transcriptional heritability for more than 25 cell divisions in clonal macrophage populations. High-content microscopy confirmed gene-specific propagation of heritable states and revealed that environmental context shapes their persistence and expression. CD36, a scavenger receptor involved in bacterial recognition and lipid uptake, exhibited a stable, cell density-reinforced heritable state, whereas the inflammatory programme exemplified by IL1{beta} was transient, with heritability decaying upon clonal expansion. The interplay between heritable transcriptional states and population context generated emergent spatial organisation in high-density populations, with CD36-high cells forming discrete pockets and IL1{beta}-high cells enriched in surrounding regions. Functionally, CD36 expression determined clonal susceptibility to Listeria monocytogenes infection, linking transcriptional heritability to heterogeneous infection outcomes. Together, these findings identify transcriptional heritability as a key determinant of innate immune heterogeneity and demonstrate how heritable cellular states interact with population context to generate complex immune behaviours. Key point summaryO_LIMemorySeq and scRNA-seq identify long-term heritable gene expression states within TLR4-induced macrophage populations. C_LIO_LIHigh-content imaging across thousands of clonal populations reveals gene-specific dynamics of heritable states at the protein level. C_LIO_LIIl1{beta} and Cd36 define mutually exclusive heritable states that are differently regulated by population context and drive spatial organisation in cellular monolayers. C_LIO_LIHeritable CD36 protein expression shapes heterogeneous outcomes during Listeria monocytogenes infection. C_LI

immunology↗

High-Dimensional Imaging of Vestibular Schwannoma Reveals Distinctive Immunological Networks Across Histomorphic Niches in NF2-related Schwannomatosis

NF2-related Schwannomatosis (NF2 SWN) is a rare tumour-predisposition syndrome characterised by the growth of multiple central and peripheral nervous system neoplasms. The drivers of NF2 SWN are pathogenic variants in the tumour suppressor gene NF2, encoding the protein Merlin, leading to development of bilateral vestibular schwannoma (VS) in >95% of patients. VS tumours are characterised by infiltration of myeloid cells and lymphocytes, highlighting the potential of immunotherapy for VS. However, the immunological landscape in VS and the spatial determinants within the tumour microenvironment that shape the trajectory of disease are presently unknown. In this study, to elucidate the complex immunological networks across VS, we performed imaging mass cytometry (IMC) on clinically annotated VS samples from NF2 SWN patients. We reveal the heterogeneity in neoplastic cell, myeloid cell and T cell populations that co-exist within VS, determining that the cellular composition of VS tumours is independent of NF2-SWN genetic severity. We show that distinct myeloid cell and Schwann cell populations exist within varied spatial contextures across characteristic Antoni A and B histomorphic niches. Interestingly, we show that T-cell populations associate with tumour-associated macrophages (TAMs) in Antoni A regions, seemingly limiting their ability to interact with tumorigenic Schwann cells. This spatial landscape is altered in Antoni B regions, where T-cell populations appear to interact with PD-L1+ Schwann cells. We also demonstrate that prior bevacizumab treatment (VEGF-A antagonist) preferentially reduces alternatively-activated TAMs, whilst enhancing CD44 expression, in bevacizumab-treated tumours. Together, we describe niche-dependent modes of T-cell regulation in NF2 SWN VS, indicating the potential for microenvironment-altering therapies for VS. TeaserImaging mass cytometry and spatial omic analyses illustrate spatially-distinct regions of T-cell regulation in vestibular schwannoma.

immunology↗

Working together to control mutation: how collective peroxide detoxification determines microbial mutation rate plasticity

Mutagenesis is responsive to many environmental factors. Evolution therefore depends on the environment not only for selection but also in determining the variation available in a population. One such environmental dependency is the inverse relationship between mutation rates and population density in many microbial species. Here we determine the mechanism responsible for this mutation rate plasticity. Using dynamical computational modelling and in vivo mutation rate estimation we show that the negative relationship between mutation rate and population density arises from the collective ability of microbial populations to control concentrations of hydrogen peroxide. We demonstrate a loss of this density-associated mutation rate plasticity when Escherichia coli populations are deficient in the degradation of hydrogen peroxide. We further show that the reduction in mutation rate in denser populations is restored in peroxide degradation-deficient cells by the presence of wild-type cells in a mixed population. Together, these model-guided experiments provide a mechanistic explanation for density-associated mutation rate plasticity, applicable across all domains of life, and frames mutation rate as a dynamic trait shaped by microbial community composition.

evolutionary biology↗

Overexpression of IkappaBalpha modulates NF-kappaB activation of inflammatory target gene expression

Cells respond to inflammatory stimuli such as cytokines by activation of the nuclear factor-{kappa}B (NF-{kappa}B) signalling pathway, resulting in oscillatory translocation of the transcription factor p65 between nucleus and cytoplasm to mediate immune response. We investigate the relationship between p65 and inhibitor-{kappa}B (I{kappa}B) protein levels and dynamic properties of the system, and how this interaction impacts on the expression of key inflammatory genes. Using bacterial artificial chromosomes, we developed new cell models of I{kappa}B-eGFP protein overexpression in a native genomic context. We find that cells with high levels of the negative regulator I{kappa}B remain responsive to inflammatory stimuli and maintain dynamics for both p65 and I{kappa}B. In contrast, canonical target gene expression is dramatically reduced by overexpression of I{kappa}B, but can be partially rescued by overexpression of p65. Treatment with leptomycin B to promote nuclear accumulation of I{kappa}B also suppresses canonical target gene expression, suggesting a mechanism in which nuclear I{kappa}B accumulation prevents productive p65 interaction with promoter binding sites. This causes reduced target promoter binding and gene transcription, which we validate by chromatin immune precipitation and in primary cells. Overall, we show how inflammatory gene transcription is modulated by the expression levels of both I{kappa}B and p65, and that transcription can be partially decoupled from p65 protein dynamics. This results in an anti-inflammatory effect on transcription, demonstrating a broad mechanism to modulate the strength of inflammatory response.

cell biology↗

Variability of the innate immune response is globally constrained by transcriptional bursting

Transcription of almost all mammalian genes occurs in stochastic bursts, however the fundamental control mechanisms that allow appropriate single-cell responses remain unresolved. Here we utilise single cell genomics data and stochastic models of transcription to perform global analysis of the toll-like receptor (TLR)-induced gene expression variability. Based on analysis of more than 2000 TLR-response genes across multiple experimental conditions we demonstrate that the single-cell, gene-by-gene expression variability can be empirically described by a linear function of the population mean. We show that response heterogeneity of individual genes can be characterised by the slope of the mean-variance line, which captures how cells respond to stimulus and provides insight into evolutionary differences between species. We further demonstrate that linear relationships theoretically determine the underlying transcriptional bursting kinetics, revealing different regulatory modes of TLR response heterogeneity. Stochastic modelling of temporal scRNA-seq count distributions demonstrates that increased response variability is associated with larger and more frequent transcriptional bursts, which emerge via increased complexity of transcriptional regulatory networks between genes and different species. Overall, we provide a methodology relying on inference of empirical mean-variance relationships from single cell data and new insights into control of innate immune response variability.

immunology↗

Single-cell imaging reveals non-cooperative and cooperative infection strategies of Listeria monocytogenes in macrophages

Pathogens have developed intricate strategies to overcome the hosts innate immune responses. In this paper we use live-cell microscopy with a single bacterium resolution to follow in real time interactions between the food-borne pathogen L. monocytogenes and host macrophages, a key event controlling the infection in vivo. We demonstrate that infection results in heterogeneous outcomes, with only a subset of bacteria able to establish a replicative invasion of macrophages. The fate of individual bacteria in the same host cell was independent from each other and non-cooperative, but a higher multiplicity of infection resulted in a reduced probability of replication. Using internalisation assays and conditional probabilities to mathematically describe the multi-stage invasion process, we demonstrate that the secreted Listeriolysin toxin (LLO) of the PrfA regulon regulates replication probability by compromising the ability to phagocytose bacteria. Using strains expressing fluorescent reporters to follow transcription of either the LLO-encoding hly or actA genes, we show that replicative bacteria exhibited higher PrfA regulon expression in comparison to those bacteria that did not replicate, however elevated PrfA expression per se was not sufficient to increase the probability of replication. Overall, this demonstrates a new role for the population-level, but not single cell PrfA-mediated cooperativity to regulate outcomes of host pathogen interactions. Key pointsO_LIL. monocytogenes invasion of innate immune macrophages results in heterogeneous infection outcomes at the single cell level C_LIO_LIFate of individual bacteria in the same host cell is independent from each other and non-cooperative C_LIO_LIBacterial populations coordinate host cell uptake via the rate of phagocytosis to reduce internalization at high MOI C_LIO_LIThe PrfA regulon system is necessary but not sufficient for L. monocytogenes replication, but population-level PrfA virulence regulates single cell outcome probability C_LI

microbiology↗

Post-transcriptional regulatory feedback encodes JAK-STAT signal memory of interferon stimulation

Immune cells fine tune their responses to infection and inflammatory cues. Here, using live-cell confocal microscopy and mathematical modelling, we investigate interferon induced JAK-STAT signalling in innate immune macrophages. We demonstrate that transient exposure to IFN-{gamma} stimulation induces a long-term desensitisation of STAT1 signalling and gene expression responses, revealing a dose- and time-dependent regulatory feedback that controls JAK-STAT responses upon re-exposure to stimulus. We show that IFN-/{beta}1 elicit different level of desensitisation from IFN-{gamma}, where cells refractory to IFN-/{beta}1 are sensitive to IFN-{gamma}, but not vice versa. We experimentally demonstrate that the underlying feedback mechanism involves regulation of STAT1 phosphorylation but is independent of new mRNA synthesis and cognate receptor expression. A new feedback model of the protein tyrosine phosphatase activity recapitulates experimental data and demonstrates JAK-STAT networks ability to decode relative changes of dose, timing, and type of temporal interferon stimulation. These findings reveal that STAT desensitisation renders cells with signalling memory of type I and II interferon stimulation, which in the future may improve administration of interferon therapy.

immunology↗

Heat shock response pathways regulate stimulus-specificity and sensitivity of NF-κB signalling to temperature stress

Ability to adapt to temperature changes trough the Heat Shock Response (HSR) pathways is one of the most fundamental and clinically relevant cellular response systems. Here we report that Heat Shock (HS) induces a temporally-coordinated and stimulus-specific adaptation of the signalling and gene expression responses of the Nuclear Factor {kappa}B (NF-{kappa}B) transcription factor. We show that exposure of MCF7 breast adenocarcinoma cells to 43{degrees}C 1h HS inhibits the immediate signalling response to pro-inflammatory Interleukin 1{beta} (IL1{beta}) and Tumour Necrosis Factor (TNF) cytokines. Within 4h after HS treatment IL1{beta}-induced responses return to normal levels, but the recovery of the TNF-induced responses is delayed. Using siRNA knock-down of Heat Shock Factor 1 and mathematical modelling we show that the stimulus-specificity is conferred via the Inhibitory {kappa}B kinase signalosome, with HSR differentially controlling individual cytokine transduction pathways. Finally, using a novel mathematical model we predict and experimentally validate that the HSR cross-talk confers differential cytokine sensitivity of the NF-{kappa}B system to a range of physiological and clinically-relevant temperatures. This quantitative understanding of NF-{kappa}B and HSR cross-talk mechanisms is fundamentally important for the potential improvement of current hyperthermia protocols.

cell biology↗

Macrophage-specific NF-kappa B activation dynamics can segregate inflammatory bowel disease patients

The heterogeneous nature of inflammatory bowel disease (IBD) presents challenges, particularly when choosing therapy. Activation of the NF-{kappa}B transcription factor is a highly-regulated, dynamic event in IBD pathogenesis. We expressed the human NF-{kappa}B/p65 subunit in blood-derived macrophages, using lentivirus. Confocal imaging of p65 activation revealed that a higher proportion of macrophages from Crohns patients responded to lipid-A compared to controls. In contrast, cells from ulcerative colitis (UC) patients exhibited a shorter duration of p65 nuclear localisation compared to healthy controls and Crohns donors. Using a similar lentivirus approach, NF-{kappa}B-regulated luciferase was expressed in patient macrophages, isolated from frozen peripheral blood mononuclear cell samples. Following activation, samples could be segregated into three clusters based on the NF-{kappa}B-regulated luciferase response. The majority of UC samples appeared in hypo-responsive cluster 1, with Crohns patients representing the majority of hyper-responsive cluster 3. A positive correlation was seen between NF-{kappa}B-induced luciferase activity and cytokine levels released to medium from stimulated macrophages, but not in serum or biopsy. Analysis of macrophage cytokine responses and patient metadata revealed a strong correlation between Crohns patients who smoked and hyper-activation of p65. These in vitro dynamic assays of NF-{kappa}B activation in blood-derived macrophages segregate IBD patients into groups with different phenotypes and therefore may help determine response to therapy. Significance statementThis manuscript describes two dynamic assays of NF-{kappa}B activation in blood-derived macrophages that can segregate IBD patients into groups with different phenotypes. For the first time we introduce the use of dynamic measurements of a transcription factor activation as a method to stratify patients and we are confident that our approach will lead in future to early patient stratification and prediction of treatment outcome.

immunology↗