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Pina C. Contributions of transcriptional noise to leukaemia evolution: KAT2A as a case-study. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230052. [PMID: 38432321 PMCID: PMC10909511 DOI: 10.1098/rstb.2023.0052] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/04/2023] [Indexed: 03/05/2024] Open
Abstract
Transcriptional noise is proposed to participate in cell fate changes, but contributions to mammalian cell differentiation systems, including cancer, remain associative. Cancer evolution is driven by genetic variability, with modulatory or contributory participation of epigenetic variants. Accumulation of epigenetic variants enhances transcriptional noise, which can facilitate cancer cell fate transitions. Acute myeloid leukaemia (AML) is an aggressive cancer with strong epigenetic dependencies, characterized by blocked differentiation. It constitutes an attractive model to probe links between transcriptional noise and malignant cell fate regulation. Gcn5/KAT2A is a classical epigenetic transcriptional noise regulator. Its loss increases transcriptional noise and modifies cell fates in stem and AML cells. By reviewing the analysis of KAT2A-depleted pre-leukaemia and leukaemia models, I discuss that the net result of transcriptional noise is diversification of cell fates secondary to alternative transcriptional programmes. Cellular diversification can enable or hinder AML progression, respectively, by differentiation of cell types responsive to mutations, or by maladaptation of leukaemia stem cells. KAT2A-dependent noise-responsive genes participate in ribosome biogenesis and KAT2A loss destabilizes translational activity. I discuss putative contributions of perturbed translation to AML biology, and propose KAT2A loss as a model for mechanistic integration of transcriptional and translational control of noise and fate decisions. This article is part of a discussion meeting issue 'Causes and consequences of stochastic processes in development and disease'.
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Affiliation(s)
- Cristina Pina
- College of Health, Medicine and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, London, UB8 3PH, United Kingdom
- CenGEM – Centre for Genome Engineering and Maintenance, Brunel University London, Kingston Lane, Uxbridge, London, UB8 3PH, United Kingdom
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2
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Mokry RL, Monti CE, Rosas-Rogers S, Schumacher ML, Dash RK, Terhune SS. Replication efficiencies of human cytomegalovirus-infected epithelial cells are dependent on source of virus production. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.19.585739. [PMID: 38562837 PMCID: PMC10983881 DOI: 10.1101/2024.03.19.585739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Human cytomegalovirus (HCMV) is a prevalent betaherpesvirus, and infection can lead to a range of symptomatology from mononucleosis to sepsis in immunocompromised individuals. HCMV is also the leading viral cause of congenital birth defects. Lytic replication is supported by many cell types with different kinetics and efficiencies leading to a plethora of pathologies. The goal of these studies was to elucidate HCMV replication efficiencies for viruses produced on different cell types upon infection of epithelial cells by combining experimental approaches with data-driven computational modeling. HCMV was generated from a common genetic background of TB40-BAC4, propagated on fibroblasts (TB40Fb) or epithelial cells (TB40Epi), and used to infect epithelial cells. We quantified cell-associated viral genomes (vDNA), protein levels (pUL44, pp28), and cell-free titers over time for each virus at different multiplicities of infection. We combined experimental quantification with data-driven simulations and determined that parameters describing vDNA synthesis were similar between sources. We found that pUL44 accumulation was higher in TB40Fb than TB40Epi. In contrast, pp28 accumulation was higher in TB40Epi which coincided with a significant increase in titer for TB40Epi over TB40Fb. These differences were most evident during live-cell imaging, which revealed syncytia-like formation during infection by TB40Epi. Simulations of the late lytic replication cycle yielded a larger synthesis constant for pp28 in TB40Epi along with increase in virus output despite similar rates of genome synthesis. By combining experimental and computational modeling approaches, our studies demonstrate that the cellular source of propagated virus impacts viral replication efficiency in target cell types.
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Affiliation(s)
- Rebekah L. Mokry
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI-53226
| | - Christopher E. Monti
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI-53226
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI-53226
| | - Suzette Rosas-Rogers
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI-53226
| | - Megan L. Schumacher
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI-53226
| | - Ranjan K. Dash
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI-53226
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI-53226
| | - Scott S. Terhune
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI-53226
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI-53226
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3
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Damour A, Slaninova V, Radulescu O, Bertrand E, Basyuk E. Transcriptional Stochasticity as a Key Aspect of HIV-1 Latency. Viruses 2023; 15:1969. [PMID: 37766375 PMCID: PMC10535884 DOI: 10.3390/v15091969] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/16/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
This review summarizes current advances in the role of transcriptional stochasticity in HIV-1 latency, which were possible in a large part due to the development of single-cell approaches. HIV-1 transcription proceeds in bursts of RNA production, which stem from the stochastic switching of the viral promoter between ON and OFF states. This switching is caused by random binding dynamics of transcription factors and nucleosomes to the viral promoter and occurs at several time scales from minutes to hours. Transcriptional bursts are mainly controlled by the core transcription factors TBP, SP1 and NF-κb, the chromatin status of the viral promoter and RNA polymerase II pausing. In particular, spontaneous variability in the promoter chromatin creates heterogeneity in the response to activators such as TNF-α, which is then amplified by the Tat feedback loop to generate high and low viral transcriptional states. This phenomenon is likely at the basis of the partial and stochastic response of latent T cells from HIV-1 patients to latency-reversing agents, which is a barrier for the development of shock-and-kill strategies of viral eradication. A detailed understanding of the transcriptional stochasticity of HIV-1 and the possibility to precisely model this phenomenon will be important assets to develop more effective therapeutic strategies.
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Affiliation(s)
- Alexia Damour
- MFP UMR 5234 CNRS, Université de Bordeaux, 33076 Bordeaux, France;
| | - Vera Slaninova
- IGH UMR 9002 CNRS, Université de Montpellier, 34094 Montpellier, France;
| | - Ovidiu Radulescu
- LPHI, UMR 5294 CNRS, University of Montpellier, 34095 Montpellier, France;
| | - Edouard Bertrand
- IGH UMR 9002 CNRS, Université de Montpellier, 34094 Montpellier, France;
| | - Eugenia Basyuk
- MFP UMR 5234 CNRS, Université de Bordeaux, 33076 Bordeaux, France;
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4
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Schrom E, Kinzig A, Forrest S, Graham AL, Levin SA, Bergstrom CT, Castillo-Chavez C, Collins JP, de Boer RJ, Doupé A, Ensafi R, Feldman S, Grenfell BT, Halderman JA, Huijben S, Maley C, Moses M, Perelson AS, Perrings C, Plotkin J, Rexford J, Tiwari M. Challenges in cybersecurity: Lessons from biological defense systems. Math Biosci 2023:109024. [PMID: 37270102 DOI: 10.1016/j.mbs.2023.109024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 04/27/2023] [Accepted: 05/20/2023] [Indexed: 06/05/2023]
Abstract
Defending against novel, repeated, or unpredictable attacks, while avoiding attacks on the 'self', are the central problems of both mammalian immune systems and computer systems. Both systems have been studied in great detail, but with little exchange of information across the different disciplines. Here, we present a conceptual framework for structured comparisons across the fields of biological immunity and cybersecurity, by framing the context of defense, considering different (combinations of) defensive strategies, and evaluating defensive performance. Throughout this paper, we pose open questions for further exploration. We hope to spark the interdisciplinary discovery of general principles of optimal defense, which can be understood and applied in biological immunity, cybersecurity, and other defensive realms.
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Affiliation(s)
- Edward Schrom
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America
| | - Ann Kinzig
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Stephanie Forrest
- Biodesign Center for Biocomputation, Security and Society, Arizona State University, Tempe, AZ 85287, United States of America; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85287, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Andrea L Graham
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Simon A Levin
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America.
| | - Carl T Bergstrom
- Department of Biology, University of Washington, Seattle, WA 98195, United States of America
| | - Carlos Castillo-Chavez
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, United States of America
| | - James P Collins
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Rob J de Boer
- Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, The Netherlands
| | - Adam Doupé
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85287, United States of America; Center for Cybersecurity and Trusted Foundations, Global Security Initiative, Arizona State University, Tempe, AZ 85287, United States of America
| | - Roya Ensafi
- Department of Electrical Engineering and Computer Science, Computer Science and Engineering Division, University of Michigan, Ann Arbor, MI 48109, United States of America
| | - Stuart Feldman
- Schmidt Futures, New York, NY 10011, United States of America
| | - Bryan T Grenfell
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America; Princeton School of Public and International Affairs, Princeton University, Princeton, NJ 08544, United States of America
| | - J Alex Halderman
- Department of Electrical Engineering and Computer Science, Computer Science and Engineering Division, University of Michigan, Ann Arbor, MI 48109, United States of America; Center for Computer Security and Society, University of Michigan, Ann Arbor, MI 48109, United States of America
| | - Silvie Huijben
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Carlo Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, United States of America; Biodesign Center for Biocomputation, Security and Society, Arizona State University, Tempe, AZ 85287, United States of America
| | - Melanie Moses
- Department of Computer Science, University of New Mexico, Albuquerque, NM 87131, United States of America; Department of Biology, University of New Mexico, Albuquerque, NM 87131, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Alan S Perelson
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Charles Perrings
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Joshua Plotkin
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, United States of America
| | - Jennifer Rexford
- Department of Computer Science, Princeton University, Princeton, NJ 08540, United States of America
| | - Mohit Tiwari
- Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, United States of America
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5
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Molecular characterization of human cytomegalovirus infection with single-cell transcriptomics. Nat Microbiol 2023; 8:455-468. [PMID: 36732471 DOI: 10.1038/s41564-023-01325-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023]
Abstract
Human cytomegalovirus (HCMV) can result in either productive or non-productive infection, with the latter potentially leading to viral latency. The molecular factors dictating these outcomes are poorly understood. Here we used single-cell transcriptomics to analyse HCMV infection progression in monocytes, which are latently infected, and macrophages, considered to be permissive for productive infection. We show that early viral gene expression levels, specifically of those encoding immediate early proteins IE1 and IE2, are a major factor dictating productive infection. We also revealed that intrinsic, not induced, host cell interferon-stimulated gene expression level is a main determinant of infection outcome. Intrinsic interferon-stimulated gene expression is downregulated with monocyte to macrophage differentiation, partially explaining increased macrophage susceptibility to productive HCMV infection. Furthermore, non-productive macrophages could reactivate, making them potential latent virus reservoirs. Overall, we decipher molecular features underlying HCMV infection outcomes and propose macrophages as a potential HCMV reservoir.
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Monti CE, Mokry RL, Schumacher ML, Dash RK, Terhune SS. Computational modeling of protracted HCMV replication using genome substrates and protein temporal profiles. Proc Natl Acad Sci U S A 2022; 119:e2201787119. [PMID: 35994667 PMCID: PMC9437303 DOI: 10.1073/pnas.2201787119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 07/07/2022] [Indexed: 11/18/2022] Open
Abstract
Human cytomegalovirus (HCMV) is a major cause of illness in immunocompromised individuals. The HCMV lytic cycle contributes to the clinical manifestations of infection. The lytic cycle occurs over ∼96 h in diverse cell types and consists of viral DNA (vDNA) genome replication and temporally distinct expression of hundreds of viral proteins. Given its complexity, understanding this elaborate system can be facilitated by the introduction of mechanistic computational modeling of temporal relationships. Therefore, we developed a multiplicity of infection (MOI)-dependent mechanistic computational model that simulates vDNA kinetics and late lytic replication based on in-house experimental data. The predictive capabilities were established by comparison to post hoc experimental data. Computational analysis of combinatorial regulatory mechanisms suggests increasing rates of protein degradation in association with increasing vDNA levels. The model framework also allows expansion to account for additional mechanisms regulating the processes. Simulating vDNA kinetics and the late lytic cycle for a wide range of MOIs yielded several unique observations. These include the presence of saturation behavior at high MOIs, inefficient replication at low MOIs, and a precise range of MOIs in which virus is maximized within a cell type, being 0.382 IU to 0.688 IU per fibroblast. The predicted saturation kinetics at high MOIs are likely related to the physical limitations of cellular machinery, while inefficient replication at low MOIs may indicate a minimum input material required to facilitate infection. In summary, we have developed and demonstrated the utility of a data-driven and expandable computational model simulating lytic HCMV infection.
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Affiliation(s)
- Christopher E. Monti
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 53226
- Center of Systems and Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI 53226
| | - Rebekah L. Mokry
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 53226
| | - Megan L. Schumacher
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 53226
| | - Ranjan K. Dash
- Center of Systems and Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI 53226
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226
| | - Scott S. Terhune
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 53226
- Center of Systems and Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI 53226
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226
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7
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Rescue of Pentamer-Null Strains of Human Cytomegalovirus in Epithelial Cells by Use of Histone Deacetylase Inhibitors Reveals an Additional Postentry Function for the Pentamer Complex. J Virol 2022; 96:e0003122. [PMID: 35343807 DOI: 10.1128/jvi.00031-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Human cytomegalovirus (HCMV) tropism for epithelial cells is determined by the pentameric glycoprotein complex found on the viral envelope. Laboratory-adapted strains, such as AD169, typically develop loss-of-function mutations for the pentamer, thus losing the ability to efficiently initiate lytic replication in epithelial cells. Using our human salivary gland-derived epithelial (hSGE) cell model, we observed that 3 chemically distinct histone deacetylase (HDAC) inhibitors can rescue infection in hSGE cells using pentamer-null strains of HCMV. Additionally, infection in ARPE-19 epithelial cells was rescued in a similar manner. We isolated nuclei from AD169-infected cells, quantified viral genomes by quantitative PCR (qPCR), and discovered that while HDAC inhibitors increased immediate early (IE) gene expression, they did not increase the amount of viral DNA in the nucleus. Using immunofluorescence microscopy, we observed that pentamer-null strains showed punctate patterning of pp71 in proximity to the nucleus of infected cells, while pp71 was localized to the nucleus after infection with pentamer-containing strains. Upon treatment with HDAC inhibitors, these punctae remained perinuclear, while more cells displayed entry into the lytic cycle, noted by increased IE-positive nuclei. Taken together, our data indicate that HCMV pentamer-null viruses are able to infect epithelial cells (albeit less efficiently than pentamer-positive viruses) and traffic to the nucleus but fail to initiate lytic gene expression once there. These studies reveal a novel postentry function of the pentamer in addition to the recognized role of pentamer in mediating entry. IMPORTANCE Human cytomegalovirus has a wide cellular tropism, which is driven by one of its glycoprotein complexes, the pentamer. Laboratory-adapted strains continuously passaged on fibroblasts readily lose pentamer function and thus lose their ability to infect diverse cell types such as epithelial cells. Pentamer has been attributed an entry function during infection, but mechanistic details as to how this is achieved have not been definitely demonstrated. In this study, we investigate how pharmacological rescue of pentamer-null strains during epithelial infection by histone deacetylase inhibitors implicates a novel role for the pentamer downstream of entry. This work expands on potential functions of the pentamer, will drive future studies to understand mechanistically how it affects tropism, and provides a new target for future therapeutics.
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8
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Abstract
While many viral infections are limited and eventually resolved by the host immune response or by death of the host, other viruses establish long-term relationships with the host by way of a persistent infection, that range from chronic viruses that may be eventually cleared to those that establish life-long persistent or latent infection. Viruses infecting hosts from bacteria to humans establish quiescent infections that must be reactivated to produce progeny. For mammalian viruses, most notably herpesviruses, this quiescent maintenance of viral genomes in the absence of virus replication is referred to as latency. The latent strategy allows the virus to persist quiescently within a single host until conditions indicate a need to reactivate to reach a new host or, to re-seed a reservoir within the host. Here, I review common themes in viral strategies to regulate the latent cycle and reactivate from it ranging from bacteriophage to herpesviruses with a focus on human cytomegalovirus (HCMV). Themes central to herpesvirus latency include, epigenetic repression of viral gene expression and mechanisms to regulate host signaling and survival. Critical to the success of a latent program are mechanisms by which the virus can "sense" fluctuations in host biology (within the host) or environment (outside the host) and make appropriate "decisions" to maintain latency or re-initiate the replicative program. The signals or environments that indicate the establishment of a latent state, the very nature of the latent state, as well as the signals driving reactivation have been topics of intense study from bacteriophage to human viruses, as these questions encompass the height of complexity in virus-host interactions-where the host and the virus coexist.
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Affiliation(s)
- Felicia Goodrum
- Department of Immunobiology, BIO5 Institute, University of Arizona, Tucson, AZ, United States.
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9
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STING facilitates nuclear import of herpesvirus genome during infection. Proc Natl Acad Sci U S A 2021; 118:2108631118. [PMID: 34385328 DOI: 10.1073/pnas.2108631118] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Once inside the host cell, DNA viruses must overcome the physical barrier posed by the nuclear envelope to establish a successful infection. The mechanism underlying this process remains unclear. Here, we show that the herpesvirus exploits the immune adaptor stimulator of interferon genes (STING) to facilitate nuclear import of the viral genome. Following the entry of the viral capsid into the cell, STING binds the viral capsid, mediates capsid docking to the nuclear pore complex via physical interaction, and subsequently enables accumulation of the viral genome in the nucleus. Silencing STING in human cytomegalovirus (HCMV)-susceptible cells inhibited nuclear import of the viral genome and reduced the ensuing viral gene expression. Overexpressing STING increased the host cell's susceptibility to HCMV and herpes simplex virus 1 by improving the nuclear delivery of viral DNA at the early stage of infection. These observations suggest that the proviral activity of STING is conserved and exploited by the herpesvirus family. Intriguingly, in monocytes, which act as latent reservoirs of HCMV, STING deficiency negatively regulated the establishment of HCMV latency and reactivation. Our findings identify STING as a proviral host factor regulating latency and reactivation of herpesviruses.
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10
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Abstract
Despite the prevalence and medical significance of human cytomegalovirus (HCMV) infections, a systematic analysis of the targets of T cell recognition in humans that spans the entire genome and includes recently described potential novel ORFs is not available. Here, we screened a library of epitopes predicted to bind HLA class II that spans over 350 different HCMV ORFs and includes ∼150 previously described and ∼200 recently described potential novel ORFs using an ex vivo IFNγ fluorospot assay. We identified 235 unique HCMV specific epitopes derived from 100 ORFs, some previously described as immunodominant and others that were not previously described to be immunogenic. Of those, 41 belong to the set of recently reported novel ORFs, thus providing evidence that at least some of these are actually expressed in vivo in humans. These data reveal that the breadth of the human T cell response to HCMV is much greater than previously thought. The ORFs and epitopes identified will help elucidate how T cell immunity relates to HCMV pathogenesis and instruct ongoing HCMV vaccine research. Importance To understand the crucial role of adaptive immunity in controlling cytomegalovirus infection and disease, we systematically analyzed the CMV 'ORFeome' to identify new CMV epitopes targeted primarily by CD4 T cells in humans. Our study identified >200 new T cell epitopes derived from both canonical and novel ORFs, highlighting the substantial breadth of anti-CMV T cell response and providing new targets for vaccine design.
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11
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Phenotypic plasticity through disposable genetic adaptation in ciliates. Trends Microbiol 2021; 30:120-130. [PMID: 34275698 DOI: 10.1016/j.tim.2021.06.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 06/16/2021] [Accepted: 06/17/2021] [Indexed: 12/28/2022]
Abstract
Ciliates have an extraordinary genetic system in which each cell harbors two distinct kinds of nucleus, a transcriptionally active somatic nucleus and a quiescent germline nucleus. The latter undergoes classical, heritable genetic adaptation, while adaptation of the somatic nucleus is only short-term and thus disposable. The ecological and evolutionary relevance of this nuclear dimorphism have never been well formalized, which is surprising given the long history of using ciliates such as Tetrahymena and Paramecium as model organisms. We present a novel, alternative explanation for ciliate nuclear dimorphism which, we argue, should be considered an instrument of phenotypic plasticity by somatic selection on the level of the ciliate clone, as if it were a diffuse multicellular organism. This viewpoint helps to put some enigmatic aspects of ciliate biology into perspective and presents the diversity of ciliates as a large natural experiment that we can exploit to study phenotypic plasticity and organismality.
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Collins-McMillen D, Kamil J, Moorman N, Goodrum F. Control of Immediate Early Gene Expression for Human Cytomegalovirus Reactivation. Front Cell Infect Microbiol 2020; 10:476. [PMID: 33072616 PMCID: PMC7533536 DOI: 10.3389/fcimb.2020.00476] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 08/03/2020] [Indexed: 12/16/2022] Open
Abstract
Human cytomegalovirus (HCMV) is a beta herpesvirus that persists for life in the majority of the world's population. The persistence of HCMV in the human population is due to the exquisite ability of herpesviruses to establish a latent infection that evades elimination by the host immune response. How the virus moves into and out of the latent state has been an intense area of research focus and debate. The prevailing paradigm is that the major immediate early promoter (MIEP), which drives robust expression of the major immediate early (MIE) transactivators, is epigenetically silenced during the establishment of latency, and must be reactivated for the virus to exit latency and re-enter productive replication. While it is clear that the MIEP is silenced by the association of repressive chromatin remodeling factors and histone marks, the mechanisms by which HCMV de-represses MIE gene expression for reactivation are less well understood. We have identified alternative promoter elements within the MIE locus that drive a second or delayed phase of MIE gene expression during productive infection. In the context of reactivation in THP-1 macrophages and primary CD34+ human progenitor cells, MIE transcripts are predominantly derived from initiation at these alternative promoters. Here we review the mechanisms by which alternative viral promoters might tailor the control of viral gene expression and the corresponding pattern of infection to specific cell types. Alternative promoter control of the HCMV MIE locus increases versatility in the system and allows the virus to tightly repress viral gene expression for latency but retain the ability to sense and respond to cell type-specific host cues for reactivation of replication.
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Affiliation(s)
- Donna Collins-McMillen
- Department of Immunobiology and BIO5 Institute, University of Arizona, Tucson, AZ, United States
| | - Jeremy Kamil
- Department of Microbiology and Immunology, Louisiana State University Health Sciences Center - Shreveport, Shreveport, LA, United States
| | - Nathaniel Moorman
- Department of Microbiology and Immunology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Felicia Goodrum
- Department of Immunobiology and BIO5 Institute, University of Arizona, Tucson, AZ, United States
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