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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: Immunol Rev. 2021 Nov 23;305(1):165–178. doi: 10.1111/imr.13042

Emerging roles for endogenous retroviruses in immune epigenetic regulation

Carmen A Buttler 1, Edward B Chuong 1,*
PMCID: PMC8766910  NIHMSID: NIHMS1756787  PMID: 34816452

Summary

In recent years, there has been significant progress toward understanding the transcriptional networks underlying mammalian immune responses, fueled by advances in regulatory genomic technologies. Epigenomic studies profiling immune cells have generated detailed genome-wide maps of regulatory elements that will be key to deciphering the regulatory networks underlying cellular immune responses and autoimmune disorders. Unbiased analyses of these genomic maps have uncovered endogenous retroviruses as an unexpected ally in the regulation of human immune systems. Despite their parasitic origins, studies are finding an increasing number of examples of retroviral sequences having been co-opted for beneficial immune function and regulation by the host cell. Here we review how endogenous retroviruses have given rise to numerous regulatory elements that shape the epigenetic landscape of host immune responses. We will discuss the implications of these elements on the function, dysfunction, and evolution of innate immunity.

Keywords: Gene Regulations, Transcription Factors, Comparative Immunology/Evolution, Viral

Introduction

The mammalian immune response functions to defend an organism against pathogens, and precise regulation of immune responses is essential for effective pathogen responses and to avoid chronic inflammation. Dysregulation of immunity is associated with increased susceptibility to infection1, autoimmune disorders2, and cancer3. It is now well-established that much of the regulation of immune responses is driven by epigenetic changes that control transcriptional changes during an infection4–6. As a result, there have been extensive efforts to map the epigenomes of immune cells and immune responses, with the goal of identifying specific genomic loci important for healthy or disease-associated immune regulation7–9.

A major insight to come from these studies has been the revelation that ancient retroviruses are unexpected allies in facilitating the evolution of immune regulatory networks10. Unlike other viruses, retroviruses integrate into host genomic DNA as part of their replication cycle. Retroviruses transmit as single stranded RNA genomes encapsulated within membrane enveloped particles, and replicate by reverse transcribing their genomes into double stranded DNA, which is then transported into the cellular nucleus and inserted semi-randomly into the host genome by viral integrase proteins11. If a genomic integration event occurs in a germ line cell and is inherited by the host’s offspring, the retrovirus becomes an endogenous retrovirus (ERV) (Fig 1A).

FIGURE 1.

FIGURE 1.

Retroviruses become endogenized and retain potential for regulatory activity. (A) Retroviruses are integrated into host cell DNA during infection. They become endogenous when they are integrated into germline DNA and passed on vertically to progeny. (B) Endogenous retroviruses disperse throughout the host cell genome. ERV families may include hundreds or thousands of individual insertion events. (C) ERVs often lose the ability to transpose and encode proteins through mutational decay, or recombination of LTRs. (D) Examples of ERV epigenetic status. Most ERVs are epigenetically silenced by DNA methylation and repressive histone modifications. Some ERVs have active promoter function, are marked by promoter-associated histone modifications, and provide the transcription start site for mRNA transcripts. Many ERVs have enhancer activity and are marked by enhancer-associated histone modifications and transcription factors. Some ERVs may function as insulators, associated with CTCF binding and are localized at boundaries between epigenetically active and silenced domains. Created with BioRender

The human genome contains over 400,000 sequence fragments derived from retroviral infections that range from 0.5 to >100 mya12. Over the course of vertebrate evolution, retroviruses have repeatedly invaded and spread within host genomes, dispersing thousands of copies of sequences with regulatory potential (Fig 1B)13. New genomic integrations contain the full-length ERV genome including retroviral genes gag, pol, and env flanked by non-coding long terminal repeat (LTR) regulatory regions. New ERVs remain capable of generating new infectious retroviruses, and can generate new germline genomic insertions through either viral reinfection or intracellular retrotransposition14–17. ERVs can disperse up to thousands of copies in host genomes before eventually accumulating mutations that inactivate their ability to replicate15. This process of retroviral genomic invasion and amplification has occurred numerous times in every vertebrate lineage, such that ERVs constitute around 6–14% of all vertebrate genomes, but originate from lineage-specific retroviruses18,19.

Once inactivated, “fossilized” ERVs had initially been assumed to be nonfunctional DNA evolving under neutral selection20,21. However, there is growing evidence that ERVs are an important source of novel genetic elements co-opted for host biology and evolution. After becoming integrated as part of the host genome, the viral protein-coding regions are rapidly lost through mutation or recombination, due to the deleterious effects of retrotransposition on the host (Fig 1C)22. For example, roughly 90% of ERV loci present in the human genome are represented by “solitary LTRs” which form by LTR-LTR recombination events that excise the internal coding regions. The frequency of solitary LTR events is consistent with these recombination events being adaptive for the host genome.

However, there are several notable exceptions wherein some ERVs have retained some protein-coding capacity and have been repurposed, or co-opted, to serve host functions. One classic example is the repeated co-option of ERV envelope proteins for mediating placental development in mammals23,24. In the context of immunity, ERV proteins have been co-opted as dominant negatives interfering in viral entry or assembly25–27 or as other types of regulatory antiviral proteins28–30. The co-option of ERV derived proteins and RNA has been extensively reviewed elsewhere31,32, therefore here we will focus on the epigenetic properties of ERVs.

While there are estimated to be several dozen ERVs and transposable elements (TEs) with intact open reading frames in the human genome33,34, the vast majority of human ERVs have completely lost their coding capacity, and have been assumed to represent inert, nonfunctional DNA. However, in recent years, epigenomic studies have revealed that ERVs are an unexpectedly substantial source of cell type-specific regulatory elements, including promoters, enhancers, chromatin boundary elements, and regulatory RNAs35–39. These regulatory sequences often originate from the LTR region of the ERV, suggesting that the ancestral regulatory activities of integrated proviral LTRs are readily repurposed for cellular genome regulation. ERV-derived regulatory activity has now been documented in a wide range of tissues and cell types, including many immune cells. These observations have renewed interest in a decades-old hypothesis that ERVs and other repetitive elements are important drivers in the evolution of gene regulatory networks.

While the functional significance of ERV-mediated gene regulation remains largely unknown, there is a growing body of evidence supporting key roles for ERV-mediated regulation in host immune function. This review will discuss how ERVs impact epigenetic regulation in the context of mammalian immunity. We will introduce the functional properties of ERVs and how they impact epigenetic landscapes, and critically evaluate the genomic and experimental evidence supporting ERV regulatory function in immunity. Finally, we will discuss current challenges in understanding the significance of ERV-mediated regulation in human evolution and disease.

Epigenetic properties of ERVs

The retroviral origin of ERVs results in a duality of active and repressive epigenetic patterning. All infectious retroviruses contain non-coding long terminal repeat (LTR) sequences, which contain dense clusters of binding sites that hijack cellular transcription factors and drive transcription of the integrated provirus. As a defense against modern retroviruses, mammalian cells have evolved mechanisms to target and epigenetically silence proviral expression40,41. Presumably as a counter-adaptation, retroviruses like Human Immunodeficiency Virus 1 (HIV-1) have evolved multiple interferon and NF-κB inducible binding sites that enable proviral transcription to become reactivated under conditions of innate immune stimulation42–47. This switch in transcriptional activity depends upon epigenetic remodeling of the LTR, where acetylation of nucleosomal activating marks drives reactivation of proviral transcription48–50. The cellular balance between epigenetically repressed and activated states contributes to stochastic reactivation from latency49.

Most ERVs consist of sequences derived from retroviral LTRs, and exhibit similar regulatory properties as those of integrated infectious proviruses51. Consistent with their ancestral potential for pathological effects, the vast majority of ERVs are, like their exogenous counterparts, targeted for silencing by cellular epigenetic repression factors. ERVs and TEs in general are targeted by retroviral and transposon silencing pathways that deposit repressive epigenetic marks, including DNA methylation and repressive histone modifications H3K9me3 or H3K27me352–54, to minimize the adverse effects of rampant transposition on the host genome (Fig 1D). For example, the KRAB-ZNF family of transcriptional repressor proteins have evolved prolifically to bind specific sequence motifs associated with different families of TEs55. Binding by KRAB-ZNF proteins results in recruitment of KAP1/TRIM28 and SETDB1 to deposit repressive epigenetic modifications including H3K9me3 and eventually DNA methylation. This targeted repression at ERVs persists long after the elements have lost their coding capacity56–58. The KRAB-ZNF pathway is probably the most well-characterized pathway underlying epigenetic repression at TEs, but there are multiple additional mechanisms, such as the piRNA and HUSH pathways, that also result in epigenetic silencing at TEs59,60.

Despite the fact that the majority of ERVs in a cell are in a repressed epigenetic state, there are nonetheless hundreds to thousands of ERVs that show some biochemical evidence of epigenetic or transcriptional activity in mammalian cells61–65. The epigenetic activation of ERVs, as with silenced modern proviruses, is driven primarily by cellular transcription factors that bind to sequences within the LTR and recruit additional transcriptional machinery38,63,66. Epigenetically activated ERVs show all the canonical hallmarks of enhancer elements: increased accessibility, enhancer-associated histone marks including H3K27ac and H3K4me3, binding of coactivators p300, and nascent transcription by RNA POL2 (Fig 1D)37,67,68. Different ERV families harbor different repertoires of transcription factor binding sites, resulting in different patterns of cell type-specific or context-dependent activation62, and individual insertions of a particular family may be mutated, duplicated, or truncated to expand or reduce their capacity for activation. These genomic findings ran contrary to the expectation that most ERVs represented silenced parasitic sequences, and implicated a role for ERVs and TEs in the evolution of gene regulatory networks.

While the potential for ERVs to act as enhancers has only recently been established, the potential for ERVs to regulate cellular gene expression was first made clear due to their activity as primary or alternative promoters for gene transcription (Fig 2A)69–71. These ERV promoters are readily identified based on cDNA sequencing data, and were initially appreciated in specific gene expression patterns of the human placenta, but have been observed in many contexts, tissues, and ontologies. ERV-derived promoters can give rise to alternate isoforms, convey tissue specificity, or even serve as the dominant promoter of a gene. An example locus in primates has even been seen to serve as a promoter in both sense and antisense directions to abutting genes Down syndrome critical region 4 (DSCR4) and DSCR8, regulating their co-expression72.

FIGURE 2.

FIGURE 2.

Examples of co-opted ERV and transposon elements have been identified with a variety of regulatory functions. (A) An interferon-inducible alternative promoter in the ACE2 gene in humans derived from an LTR16 and a MIRb element gives rise to a nonfunctional truncated isoform during IFN signaling 85. (B) A MER41-derived enhancer upstream of the AIM2 gene in humans is bound by the interferon signaling transcription factor STAT1 and is necessary for interferon-dependent expression of AIM2 10. (C) The non-ERV retrotransposon family MIR has been attributed with insulator activity enriched in T cell–specific gene regions. MIRs recruit RNA Polymerase III (PolIII) complexes and delineate regions of active and repressive epigenetic regulation 35

In summary, ERVs have dispersed many sequence elements in mammalian genomes that possess potent epigenetic and regulatory activities that originally evolved for retroviral replication. As a class of elements, they are subject to both silencing and active transcriptional regulation, and their activity in any given cell results from the balance of these opposing epigenetic forces.

ERV-derived regulatory activity in immune contexts

Genomic evidence of pervasive ERV-derived regulatory activity has renewed interest in a decades-old idea that mobile elements may play an important role in genome regulation and evolution. In her 1950 paper describing the nature of the mutable loci we now know as transposons, Barbara McClintock observed their association with plant variegation through altered expression of nearby genes, and even predicted that this process was basic to diverse organisms73. Britten and Davidson expanded on this idea, suggesting that the genome-wide amplification of transposons could facilitate the evolution of regulatory networks74. While compelling, this hypothesis has long been challenging to investigate due to the difficulties in identifying non-coding regulatory elements and characterizing their functions.

Owing to the development of epigenomic sequencing-based technologies, a growing body of research points to an important role for ERVs in driving the evolution of immune-related gene regulatory networks. Based on unbiased global analysis of chromatin profiling data, it is now clear that ERVs constitute a significant fraction (15–30%) of enhancers in immune cells10,64,75–78. Intriguingly, chromatin landscapes of immune cells and immune responses are particularly enriched for ERV-derived regulatory elements75,79, consistent with a functional role for ERVs in immune gene regulation.

In a study focusing on the interferon response in human cells, we discovered that ERVs are a source of ~15% of binding sites for interferon-associated transcription factors STAT1 and IRF1 in human macrophages10. Based on chromatin profiling analysis of interferon-stimulated primary macrophages, thousands of ERVs exhibit properties of interferon-stimulated enhancer elements. The primate-specific MER41 ERV family was identified as a major source of ERVs with interferon-inducible activity, which was recapitulated in reporter assays. These observations suggest that ERVs act as inducible enhancers that contribute to the regulation of interferon-stimulated genes.

To further support this hypothesis, an example locus was tested experimentally. We found that one of these MER41-derived enhancers was located within 200 bp upstream of a gene AIM2, a sensor for cytoplasmic double-stranded DNA that regulates inflammasome assembly. AIM2 is known to be an interferon-stimulated gene, but its regulatory interactions were not known. Based on our genomic analyses suggesting that AIM2 was regulated by MER41, we used CRISPR to create a modified human cell line harboring a deletion of MER41, with the AIM2 gene intact. Stimulation of these cells with interferon revealed no induction of AIM2, demonstrating that its expression was regulated by the ERV (Fig 2B). Moreover, we showed that AIM2-dependent inflammasome activity was completely abrogated in these cells infected with Vaccinia virus. This study was the first to directly demonstrate an ERV-derived enhancer. In addition to acting as inducible enhancers during direct interferon exposure, ERV-derived enhancers and promoters have since been shown to be directly activated by viral or bacterial infection80,81, indicating that ERVs have been co-opted to regulate gene expression during infection.

ERV-derived promoters are also enriched in genes related to immunity and stress response, and depleted in genes that function in metabolism and other basic housekeeping processes71,82–84. One recently discovered example identified a truncated transposon-derived isoform of the human angiotensin-converting enzyme 2 (ACE2) gene. This isoform arises from a composite promoter derived from an ERV of the LTR16 family and another retrotransposon, MIRb (Fig 2A). The truncated transcript, MIRb-ACE2, is thought to be nonfunctional, but highly responsive to interferon signaling85–87. This particular instance of ERV co-option is particularly notable recently due to the critical role ACE2 plays as a target of the SARS-CoV-2 virus during entry88. These studies suggest that ERVs and other transposons may facilitate the evolution of nonfunctional alternative isoforms of the genes they promote, potentially allowing for downstream regulation of protein function through the regulation of decoy isoforms89,90.

It is worth noting that not all cis-regulatory ERVs act as promoters or enhancers. There is evidence that they also possess insulator function in some contexts, defining the boundaries of regulatory effects within the genome. In Drosophila, the retrovirus-derived Gypsy elements are well-characterized to exhibit insulator activity91. In mammals, other retrotransposons exhibit the same capacity. Families of short interspersed nuclear elements (SINEs) have shown insulator activity in mice36,92–94, and elements of the mammalian-wide interspersed repeat (MIR) family have been shown, both through correlation and experimental testing, to act as insulators with particular enrichment in T-cell specific networks (Fig 2C)35. There is some evidence in non-immune cells that certain ERV families, like LTR13 and HERVH, have insulator activity in primates36,95,96. Therefore, by affecting the organization of regulatory domains in mammalian genomes, it is conceivable that new ERV insertions could single-handedly alter the regulation of entire neighborhoods of genes.

In addition to regulating genes through cis-acting mechanisms, ERVs can also act as non-coding regulatory RNAs such as long non-coding RNAs39,97. One example, the HCP5 lncRNA, has been seen to have associations with innate immunity, adaptive immunity, autoimmune diseases and even cancer since the 1990’s, and was later confirmed to be derived from an ERV insertion98. The ERV derived lncRNA lnc-EPAV in mouse was recently found to be crucial to a proper antiviral response, regulating NF-κB expression by competing with its repressor for binding84. As the majority of long non-coding RNAs are derived at least partially from TEs39, it is likely that the many recently characterized immune related non-coding RNAs are derived from ERVs as well.

ERV-derived RNAs may also serve a non sequence-specific function in activating immune responses. In addition to the specific activity of functional lncRNAs, there is evidence that ERV derepression gives rise to double-stranded RNAs which are nonspecifically recognized by RIG-I and the cytoplasmic dsRNA sensing pathway. These dsRNA species are recognized as pathogenic and trigger activation of the innate immune response. This phenomenon has been termed ‘viral mimicry’, and it has been observed to help stimulate interferon signaling and immune responses during viral infection as well as certain cancer treatments that rely on DNA demethylation99–101.

Recent studies appear to paint a picture where ERVs occupy diverse critical roles in the regulation and function of our immune systems. However, while some of these beneficial roles have been experimentally validated, most findings related to TEs remain correlative. As we will now discuss, there are many potential pitfalls related to investigating the functional impact of ERVs and other TEs on host immune function.

Establishing bona fide immune function

There is a growing body of evidence supporting multifaceted roles for ERVs in the epigenetic regulation of immunity. However, caution is warranted for interpreting these studies. While many studies have documented pervasive ERV-derived regulatory activity in cells, the impact of this activity on host biology remains poorly understood. Most previous research in this area employed correlation analyses or reporter assays to test the regulatory activities of ERVs, and comparably fewer elements have been directly characterized for functional importance in their endogenous genomic context. Therefore, direct functional evidence for the biological significance of ERV-derived regulatory elements remains slim.

Many studies have identified ERV-derived regulatory elements that are located physically near cellular genes, which is suggestive of cis-regulatory function. However, it is increasingly appreciated that many predicted regulatory elements--both ERV and non-ERV derived--have no or minimal gene expression consequences, due to regulatory redundancies or unfavorable 3D conformations102. For example, recent studies have shown that removing or silencing some, but not all ERVs actually results in a change in expression of nearby genes103. The vast majority of ERV-derived elements have not been functionally characterized. Thus, while it is established that ERVs and TEs alter genome-wide epigenetic landscapes, the full extent to which they impact cellular gene regulation and function remains a major question.

Experimental validation using genome or epigenome editing via CRISPR-based tools is currently the most direct and robust method to determine whether an ERV has a regulatory function. The most direct genetic approach is to use CRISPR tools to target a particular element for genetic knockout, allowing one to test the function of the element in its endogenous context. However, isolating homozygous knockout clones can be time consuming and low-throughput, limiting even an ambitious study to the assessment of a handful of putative regulatory ERVs. In addition, their repetitive nature can make some ERVs difficult to target at a single locus without the potential for unpredictable off-target effects.

CRISPR-based epigenome editing tools have also been applied to study regulatory elements. CRISPR interference (CRISPRi) applies a cleavage incompetant mutant Cas9 fused to a transcriptional repressor such as the KRAB domain104,105. This results in transient blockage of transcription rather than the permanent genetic alteration of traditional CRISPR, and is therefore quicker and easier to implement. However, for the same reasons, on-target silencing effects are often incomplete. It is also less appropriate for certain small loci due to the large footprint of blockage. For instance, the regulatory effect of an intronic ERV may be indistinguishable from steric interference imposed by the CRISPRi machinery on RNA Polymerase II.

In a method that cleverly leverages the repetitive nature of ERVs, the chimeric array of gRNA oligonucleotides (CARGO) approach uses guides designed to target an entire family for simultaneous epigenetic activation or repression106. CARGO coupled CRISPR allows for screening of potentially functional transposable elements in parallel, but this leaves the difficulty of isolating the importance of a single perturbation among many to an observed effect.

While the vast majority of putative ERV-derived regulatory elements remain functionally uncharacterized, recent CRISPR-mediated experiments have revealed a general trend: that some, but not all, ERVs have an impact on gene expression. While these negative results have the caveat that not all physiological contents have been tested, they suggest that many ERV-derived regulatory elements are likely nonfunctional in terms of regulating gene expression, despite exhibiting epigenetic marks predictive of enhancer activity.

Our relatively poor ability to predict the regulatory effects of transposons is linked to a greater challenge of predicting gene regulatory effects of any regulatory elements in genomic data. The high redundancy and effect overlap of genomic regulatory networks makes it difficult to simply assume a crucial function for a particular putative regulatory element based solely on observed epigenetic landscape102. Even an element with all the markers of enhancer activity may be inconsequential in practice, or may affect distal genes rather than proximal ones, interactions which are difficult or impossible to predict. Incorporation of 3D chromatin data105,107 has improved our ability to predict gene targets of regulatory elements, and the continued development of high-throughput methods for functional screening108,109 will eventually allow researchers to better predict which ERV-derived enhancers have biologically significant regulatory functions worth testing experimentally.

Finally, while some cellular functions and signaling pathways can be assayed in vitro, the ultimate test is in vivo. While studies on mouse ERVs can naturally be tested using mouse models, it is much less straightforward to investigate the function of ERVs in the human genome. This is because ERVs show a highly lineage-specific distribution, reflecting retroviral invasions unique to each species’ evolutionary history, and rendering animal models less effective than in other cases. A recent study in the placenta used a creative workaround, where a human bacterial artificial chromosome was genetically introduced into a mouse, testing the cis-regulatory connection between the enhancer and the gene in an animal model110.

Disease implications

There is mounting evidence that ERVs are crucial for the healthy function of mammalian immune systems, as well as other tissue systems, but their involvement in a variety of disease states is equally clear. ERV dysregulation has been tied to cancer, autoimmunity, multiple sclerosis, and neurodegeneration51,111–113. While the focus of many recent studies have been on the pathological effects of ERV-derived transcripts and proteins, the fact that they show disease-specific reactivation implies that ERVs themselves are epigenetically dysregulated, which may have far-ranging regulatory consequences. However, studies of ERV behaviour in disease states have relied heavily on correlative observations. Though many studies have observed upregulated ERV expression in a number of human disease states, the potential causative roles for ERV activity in disease has long been subject to controversy.

The emerging roles for ERVs in healthy immune regulation imply that they may also be involved in dysregulation in autoimmunity. If ERVs regulate expression of immune genes, their dysregulation would likely lead to dysregulation of the immune system, causing chronic activation or silencing of specific genes. Transcriptional dysregulation of immune genes is associated with many autoimmune disorders, for example systemic lupus erythematosus (SLE), where global upregulation of ERV expression in B and T cells is thought to result from deficient DNA methylation62,114,115.

Aberrant epigenetic activation of ERVs has manifold consequences. ERVs themselves contribute to spurious activation of both innate and adaptive immunity through a process coined “viral mimicry.” As with exogenous viruses, transcription of ERVs gives rise to double stranded RNA and cytoplasmic reverse transcribed DNA which are recognized by pattern recognition receptors of the innate immune system99, activating innate immune responses. Translated ERV genes may even be recognized as antigens by immune cells and trigger an autoimmune response116–118. In healthy cells, normal repression of ERVs is sufficient to prevent this mechanism, but disruptions in transposon silencing mechanisms could conceivably drive autoimmune responses to ERV-derived transcripts and proteins.

By triggering cellular autoimmune responses, ERVs have been implicated in SLE, multiple sclerosis (MS), neurological disorders, and neurodegeneration119. Studies have suggested an association between ERV transcription and the progression of MS120–122, but initially it was unclear if this association was indicative of a role for ERVs in MS progression or if ERV derepression was simply a downstream effect of general disease state epigenetic dysregulation. Recently, however, several studies have pointed directly to ERV transcription activating innate immunity through pathogen sensing Toll-like receptor (TLR) pathways in both MS and neurodegeneration123,124.

While inappropriate ERV activity may be a contributing factor to disease, immunostimulatory ERV reactivation has been harnessed in the application of epigenetic therapy for cancer treatment. It is now recognized that many cancer therapies impede cancer growth in part by causing transcriptional reactivation of ERVs and other TEs99,125,126, which triggers the viral mimicry pathway. Therefore, the viral mimicry response can be seen as a double-edged sword, where the activation of innate immune responses by transcription of TEs could have either beneficial anti-tumor effects or pathological autoinflammatory consequences.

While there has been substantial recent interest in the relationship between ERV transcription and disease, most research has focused on the consequences of ERV-derived proteins or transcripts. The potential for ERVs to act as pathological regulatory elements is less well explored, but several examples exist. For example, the ERV-derived isoform of the complement component 4 (C4) is associated with progression of schizophrenia through overactive synaptic pruning127, while low copy number of the same isoform has been associated with type 1 diabetes through an unknown mechanism128. However, the extent to which ERV-derived enhancers contribute to epigenetic dysregulation in immune disorders is almost entirely unexplored. Given that ERVs have been shown to function as immune inducible enhancers, it stands to reason that aberrant activation of ERV-derived enhancers may be responsible for establishing transcriptional states associated with chronic inflammation.

Evolutionary implications for host immunity

The function of the immune system is to ward off an ever-changing and evolving barrage of pathogens. The constant threat of new and evolving pathogens is a source of genetic conflict that drives rapid evolution of host immune systems129–131. As a result, protein-coding genes involved in host immunity show strong evidence of rapid divergence and evolution. Whether immune regulatory networks show similarly elevated patterns of evolution is not well understood, but cross-species transcriptional profiling has revealed extensive differences in innate immune responses and immune cell profiles132,133. Thus, it is likely that the epigenetic landscape of immune cells and immune responses have undergone significant divergence throughout vertebrate evolution, driven by pathogens like viruses.

The finding that ERVs are co-opted for immune function implies that retroviruses directly facilitate host immune function by providing novel regulatory and protein sequences. ERV co-option may be especially well suited to the fast-paced evolution associated with genetic conflicts, such as the one between pathogens and the host immune system. ERVs provide ready-made proteins and regulatory elements with high copy numbers, and in some cases act as turncoats providing insights into the structure of the enemy. Endogenization of a retrovirus gives the host genome a head start at evolving products that will match and compete with their exogenous equivalents as new dominant-negative antiviral elements134. Furthermore, the transposable nature of ERVs leads to high copy numbers which can mutate and drift rapidly, increasing the likelihood of a beneficial mutant.

The differential co-option of lineage-specific ERVs for immune regulation may be an underappreciated driver of species-specific differences in immune regulatory networks. Even well-conserved immune genes may exhibit distinct epigenetic and regulatory patterns, and thus transcriptional behavior, due to differences in ERV insertions giving rise to lineage-specific enhancers64. For instance, a great ape-specific insertion of a primate-ubiquitous ERV family regulates pathogen responsive expression of antiviral proteins effective against both modern and ancient retroviruses100. The ERV serving as the dominant promoter of human 3GAL-T5 is entirely absent in mice,135. Even when species harbor ERVs of the same family, originating from the same ancestral infections, differences in insertion site and co-option events allows for differences in regulatory networks which might otherwise be much slower to evolve. While innate immune signaling responses such as the interferon response are generally assumed to be conserved in animal models, it is possible that lineage-specific ERVs have facilitated rewiring of immune transcriptional networks across species.

Even within species, ERVs give rise to genetic variation. In species where ERVs are replication-competent, such as mice, new ERV insertions could act as a source of regulatory variants22. Although ERVs are thought to be inactive in humans, insertional polymorphisms are still present in the population136. As discussed in the previous section, these variations can be highly consequential, with proposed associations to schizophrenia and diabetes for one ERV-derived isoform. Other retrotransposons, including LINEs, SINEs, and SVA elements, remain an active source of new insertions in humans137,138, and many of the epigenetic mechanisms discussed related to ERVs also apply to these elements.

It is clear that ERVs are a fast-evolving and dynamic source of regulatory activity integral to both healthy and pathogenic variance between species and between individuals. The need for competitive adaptation and counter-adaption at the host-pathogen interface necessitates rapid evolution. In a twist of irony, endogenized viruses give hosts a leg up in evolving restriction factors and reorganizing immune networks, but they come with the risk of serious pathological effects as well (Fig 3).

FIGURE 3.

FIGURE 3.

Retroviruses both antagonize and facilitate rapid evolution of host immunity. Retroviruses drive evolution of host immunity both as pathogens and as a source of novel DNA. They occasionally endogenize and become co-opted for the benefit of the host. Cooption of ERVs is particularly prevalent in the immune system and allows for rapid reorganizing of the host immune regulatory networks in the ongoing arms race with exogenous viruses and other pathogens. Created with BioRender

Why are viruses repeatedly co-opted for immunity?

Does mere poetic justice drive the evolutionary domestication of ERVs for antiviral defense, or is there a more logical explanation at play? Current observations suggest that ERV co-option is particularly prevalent in gene networks that establish immune specific cell types and signaling pathways. We speculate that one potential reason is that many retroviral LTRs have regulatory features that predispose them to immune function, having already evolved to hijack host immune regulatory networks. Indeed, ERV LTRs often contain immune-related transcription factor binding motifs, particularly for those specific to immune signaling pathways, encoded in ERV LTRs51,63,66. It is likely that in many cases, immune-related transcription factor binding motifs were already present in the LTRs of the originating ancient retroviruses. Consistent with this idea, modern exogenous retroviruses including HIV-1 harbor immune-inducible transcription factor binding motifs in their LTR sequences. The dependence of HIV-1 on immune related transcription factors is well documented42,44,45,47, and sequence analysis of many other retroviruses shows a similar pattern of motif abundance. The repeated integration of retroviral LTRs would therefore provide a recurrent source of ready-made immune regulatory elements.

There are clear selective benefits that might drive exogenous retroviruses to incorporate these host factor binding motifs. HIV-1, as with many other retroviruses, is regulated by many transcription factors specific to the host immune system. Considering the fact that HIV’s primary target cell type are professional immune cells this is not surprising. Once integrated as a provirus, HIV-1 benefits from being transcriptionally driven by those signaling pathways most reliably active in its host. However, there may be other benefits to the virus of being transcriptionally upregulated by the host antiviral response. Even in other retroviruses which do not specifically target immune cell types, the antiviral response is a signaling pathway that coincides with infection, and encoding regulatory motifs that allow viral transcription to be upregulated by this pathway may be a way for the virus to hijack cellular antiviral signaling and turn it into an advantage. In addition, HIV-1, along with a number of other retroviruses, persists long term in an infected host organism through a program of transcriptionally silent latency, punctuated by transcriptionally active reactivation events50,139,140. It is known that these reactivation events can be triggered by external activation of the immune response, including secondary infection, cellular stress or injury, or inflammation. The sporadic nature of immune activations like these is well suited to the punctuated latency that allows a retrovirus like HIV to persist as a chronic infection.

Once endogenized, ERVs that exhibit inducible activity might be further favored for retention and eventual co-option in the host genome. Hijacking of host defensive signaling pathways may allow the ERV to avoid being epigenetically silenced by the cell, and result in further replication. Their inducible activity potentially makes them less disruptive as a class of insertions, as the regulatory effects of new insertions would only be exposed during infection. Such ERVs may be favored to accumulate in host genomes, and potentially co-opted for functional regulatory roles.

Although we have focused on inducible regulatory activity, such as stimulation by interferon, it is possible that ERV-derived enhancers have additional unique regulatory features. The promoter behavior integral to retroviral LTRs is often retained by endogenized LTRs. The stochastic, or “bursty” transcriptional activity of exogenous proviruses is well characterized141,142. The source of this noise is unclear, though studies have suggested that the functional activity of transcription factors and cofactors can be affected by both sequence and epigenetic landscape around the core binding sequence143,144. Transcriptional noise is also observed in native cellular genes, often in a cell type dependent manner145–147, and is apparently critical in allowing for important response diversity and differential fate decisions in otherwise isogenic populations of cells148,149.

It is possible that the inherent stochasticity of proviral regulation could be exploited in regulating the host immune system. Stochastic or variable gene expression has been widely observed in the context of immunity where it is proposed to be important for converting signals that can be thought of as binary, on or off cellular responses, often pulsatile into persistent, throttled responses at the tissue level150,151. Beyond this regulation of intrinsic transcriptional noise, ERVs are also known to exhibit high epigenetic variability152,153, which may contribute to a higher order patterns of variability, such as the bimodal responsiveness of single cells to interferon signaling or differences across individuals. Like the lower order intrinsic noise that smooths signal responses through temporal variability, variability in interferon responsiveness is also thought to be functional, allowing for a flexible and tunable immune response154. The balance of the immune response between restraint and proper activity is crucial to organismal health and difficult to achieve through a global all-or-nothing signal. Variability of signal responsiveness is likely a major safeguard against an overactive or underactive interferon response, but the mechanistic origin of this variability is not well characterized. Whether epigenetically variable ERV-derived regulators play a role in this system remains to be seen.

The presence of immune-related binding motifs in ERVs may also be the result of random chance. Each species contains hundreds of families of lineage-specific repeats, and binding motifs for transcription factors are often short and degenerate. While the biology of these ancient retroviruses will always remain a matter of speculation, their impact on our evolution is beginning to come into focus.

Conclusion

The advent of epigenomic technologies have brought to light the fact that ERVs and other transposons are a major source of regulatory activity in mammalian cells, particularly in the context of immunity. They provide ready-made modules of transcription factor binding sites and promoter elements with the potential to be moved, duplicated, and dispersed throughout the genome. While most insertions are likely to be either detrimental or of little biological consequence, the occasional insertions may confer a beneficial function and become retained and conserved.

Given the fact that ERVs and transposons represent a major source of lineage-specific DNA, it is possible that they represent a widespread mechanism of regulatory evolution. While there are a growing number of examples demonstrating the co-option of ERV-derived enhancers for immunity, it remains to be seen whether these represent rare events or the tip of the iceberg. Genomic studies continue to uncover many ERVs showing canonical markers of promoter, enhancer, or insulating activity in a variety of cell types and contexts, but the bottleneck of experimental validation means that only a small subset of these putative regulatory elements have been tested for functional importance. Application of single cell chromatin profiling technologies in immune cells155–157 promise to reveal even more putative regulatory ERVs that may be active only in rare or transient cell populations. The continued development of CRISPR-based screening technologies for regulatory elements108,109 will eventually allow researchers to more thoroughly dissect the regulatory and functional consequences of ERVs.

Despite their emerging importance in the evolution of immune systems, we know from analysis of mammalian genomes that ERVs are highly specific to different lineages and species, reflecting different histories of ancient retroviral infections. However, thus far almost all investigations of ERV regulatory activity have been done in either human or mouse cells, due to the wealth of epigenomic resources for these species. More broad functional studies are needed to explore whether co-option of ERVs and other transposons as regulatory elements is a general mechanism of organismal evolution. Already there is evidence of immune co-option of non-ERV transposons in plants, where they were first discovered158,159. It is likely that as the immune responses of more diverse species are investigated using epigenomic assays, ERVs and other transposons will continue to be implicated in the evolutionary diversification of species immune responses.

Further study is warranted to understand the role of regulatory ERVs in human disease states such as autoimmunity and cancer. ERVs and other transposons are unique in that they exhibit a complex duality of beneficial and pathogenic potential, which is reflected in their context-dependent recruitment of activating or repressive epigenetic marks. However, studying their effects in human disease will be challenged by the added difficulty presented by lineage-specific differences in transposon landscapes, which preclude most animal models. Experimental study of human ERVs in the genomes of human patients is nearly impossible, therefore technically difficult approaches using patient-derived cells and/or humanized animal models will be necessary to fully characterize their potential immune functions.

In addition, the focus of many of the studies has been on “older” elements that are fixed in all humans. Practically, this is because older elements have accumulated more random mutations, and are easier to map using short-read technology. Polymorphic elements will also often be absent from the species reference genome, requiring specialized software to analyze160. Detecting transposon-derived structural variants can be technologically challenging, but the adoption of long-read sequencing technologies will significantly facilitate their identification161,162. However, to truly incorporate newly identified transposon polymorphisms into genomic studies, adoption of graph-based “pan-genome” reference genomes that include structural variation will be necessary163.

Viral pandemics are established to have been significant selective forces that have driven coevolutionary adaptation of host immune systems for eons131. As discussed in this review, studies on ERVs are beginning to reveal a new, underappreciated route through which viruses have shaped the evolution of host immunity. By endogenizing and becoming co-opted as immune regulatory elements, ancient retroviruses have become domesticated to help thwart infections by modern infectious viruses and other pathogens. Further elucidation of this tangled evolutionary pathway, as well as its implications on immune epigenetic landscapes, will be key to fully understanding the molecular basis of immune regulation and dysregulation in infection and autoimmunity.

Acknowledgements

Fellowship support for C.A.B. was provided by matching funds from the NIH/CU SCR Training Program. E.B.C. was funded by the Boettcher Foundation, the Packard Foundation, the Sloan Foundation, and NIH 1R35GM128822.

Footnotes

Conflict of Interest

We report no conflicts of interest.

References

  • 1.Qin C, Zhou L, Hu Z, et al. Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China. Clin Infect Dis. 2020;71(15):762–768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mazzone R, Zwergel C, Artico M, et al. The emerging role of epigenetics in human autoimmune disorders. Clin Epigenetics. 2019;11(1):34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Cao J, Yan Q. Cancer Epigenetics, Tumor Immunity, and Immunotherapy. Trends Cancer Res. 2020;6(7):580–592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Smale ST, Tarakhovsky A, Natoli G. Chromatin contributions to the regulation of innate immunity. Annu Rev Immunol. 2014;32:489–511. [DOI] [PubMed] [Google Scholar]
  • 5.Mehta S, Jeffrey KL. Beyond receptors and signaling: epigenetic factors in the regulation of innate immunity. Immunol Cell Biol. 2015;93(3):233–244. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ivashkiv LB. IFNγ: signalling, epigenetics and roles in immunity, metabolism, disease and cancer immunotherapy. Nat Rev Immunol. 2018;18(9):545–558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.De Jager PL, Hacohen N, Mathis D, Regev A, Stranger BE, Benoist C. ImmVar project: Insights and design considerations for future studies of “healthy” immune variation. Semin Immunol. 2015;27(1):51–57. [DOI] [PubMed] [Google Scholar]
  • 8.Gal-Oz ST, Maier B, Yoshida H, et al. ImmGen report: sexual dimorphism in the immune system transcriptome. Nat Commun. 2019;10(1):4295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Stunnenberg HG, International Human Epigenome Consortium, Hirst M. The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery. Cell. 2016;167(5):1145–1149. [DOI] [PubMed] [Google Scholar]
  • 10.Chuong EB, Elde NC, Feschotte C. Regulatory evolution of innate immunity through co-option of endogenous retroviruses. Science. 2016;351(6277):1083–1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Herschhorn A, Hizi A. Retroviral reverse transcriptases. Cell Mol Life Sci. 2010;67(16):2717–2747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lander ES, Linton LM, Birren B, et al. Initial sequencing and analysis of the human genome. Nature. 2001;409(6822):860–921. [DOI] [PubMed] [Google Scholar]
  • 13.Chuong EB, Elde NC, Feschotte C. Regulatory activities of transposable elements: from conflicts to benefits. Nat Rev Genet. 2017;18(2):71–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lock LF, Keshet E, Gilbert DJ, Jenkins NA, Copeland NG. Studies of the mechanism of spontaneous germline ecotropic provirus acquisition in mice. EMBO J. 1988;7(13):4169–4177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Magiorkinis G, Gifford RJ, Katzourakis A, De Ranter J, Belshaw R. Env-less endogenous retroviruses are genomic superspreaders. Proc Natl Acad Sci U S A. 2012;109(19):7385–7390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zhuo X, Feschotte C. Cross-Species Transmission and Differential Fate of an Endogenous Retrovirus in Three Mammal Lineages. PLoS Pathog. 2015;11(11):e1005279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Belshaw R, Pereira V, Katzourakis A, et al. Long-term reinfection of the human genome by endogenous retroviruses. Proc Natl Acad Sci U S A. 2004;101(14):4894–4899. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Gifford R, Tristem M. The evolution, distribution and diversity of endogenous retroviruses. Virus Genes. 2003;26(3):291–315. [DOI] [PubMed] [Google Scholar]
  • 19.Stoye JP. Studies of endogenous retroviruses reveal a continuing evolutionary saga. Nat Rev Microbiol. 2012;10(6):395–406. [DOI] [PubMed] [Google Scholar]
  • 20.Orgel LE, Crick FH. Selfish DNA: the ultimate parasite. Nature. 1980;284(5757):604–607. [DOI] [PubMed] [Google Scholar]
  • 21.Doolittle WF, Sapienza C. Selfish genes, the phenotype paradigm and genome evolution. Nature. 1980;284(5757):601–603. [DOI] [PubMed] [Google Scholar]
  • 22.Maksakova IA, Romanish MT, Gagnier L, Dunn CA, van de Lagemaat LN, Mager DL. Retroviral elements and their hosts: insertional mutagenesis in the mouse germ line. PLoS Genet. 2006;2(1):e2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Lavialle C, Cornelis G, Dupressoir A, et al. Paleovirology of “syncytins”, retroviral env genes exapted for a role in placentation. Philos Trans R Soc Lond B Biol Sci. 2013;368(1626):20120507. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Mi S, Lee X, Li X, et al. Syncytin is a captive retroviral envelope protein involved in human placental morphogenesis. Nature. 2000;403(6771):785–789. [DOI] [PubMed] [Google Scholar]
  • 25.Best S, Le Tissier P, Towers G, Stoye JP. Positional cloning of the mouse retrovirus restriction gene Fv1. Nature. 1996;382(6594):826–829. [DOI] [PubMed] [Google Scholar]
  • 26.Palmarini M, Mura M, Spencer TE. Endogenous betaretroviruses of sheep: teaching new lessons in retroviral interference and adaptation. J Gen Virol. 2004;85(Pt 1):1–13. [DOI] [PubMed] [Google Scholar]
  • 27.Murcia PR, Arnaud F, Palmarini M. The transdominant endogenous retrovirus enJS56A1 associates with and blocks intracellular trafficking of Jaagsiekte sheep retrovirus Gag. J Virol. 2007;81(4):1762–1772. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Tolosa JM, Schjenken JE, Clifton VL, et al. The endogenous retroviral envelope protein syncytin-1 inhibits LPS/PHA-stimulated cytokine responses in human blood and is sorted into placental exosomes. Placenta. 2012;33(11):933–941. [DOI] [PubMed] [Google Scholar]
  • 29.Lokossou AG, Toudic C, Nguyen PT, et al. Endogenous retrovirus-encoded Syncytin-2 contributes to exosome-mediated immunosuppression of T cells†. Biol Reprod. 2020;102(1):185–198. [DOI] [PubMed] [Google Scholar]
  • 30.Grow EJ, Flynn RA, Chavez SL, et al. Intrinsic retroviral reactivation in human preimplantation embryos and pluripotent cells. Nature. 2015;522(7555):221–225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Bannert N, Kurth R. Retroelements and the human genome: new perspectives on an old relation. Proc Natl Acad Sci U S A. 2004;101 Suppl 2:14572–14579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Frank JA, Feschotte C. Co-option of endogenous viral sequences for host cell function. Curr Opin Virol. 2017;25:81–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Villesen P, Aagaard L, Wiuf C, Pedersen FS. Identification of endogenous retroviral reading frames in the human genome. Retrovirology. 2004;1:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Brouha B, Schustak J, Badge RM, et al. Hot L1s account for the bulk of retrotransposition in the human population. Proceedings of the National Academy of Sciences. 2003;100(9):5280–5285. doi: 10.1073/pnas.0831042100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wang J, Vicente-García C, Seruggia D, et al. MIR retrotransposon sequences provide insulators to the human genome. Proc Natl Acad Sci U S A. 2015;112(32):E4428–E4437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Schmidt D, Schwalie PC, Wilson MD, et al. Waves of retrotransposon expansion remodel genome organization and CTCF binding in multiple mammalian lineages. Cell. 2012;148(1–2):335–348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Ohnuki M, Tanabe K, Sutou K, et al. Dynamic regulation of human endogenous retroviruses mediates factor-induced reprogramming and differentiation potential. Proc Natl Acad Sci U S A. 2014;111(34):12426–12431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Bourque G, Leong B, Vega VB, Chen X, Lee YL. Evolution of the mammalian transcription factor binding repertoire via transposable elements. Genome. Published online 2008. https://genome.cshlp.org/content/18/11/1752.short [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kapusta A, Kronenberg Z, Lynch VJ, et al. Transposable elements are major contributors to the origin, diversification, and regulation of vertebrate long noncoding RNAs. PLoS Genet. 2013;9(4):e1003470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Tchasovnikarova IA, Timms RT, Matheson NJ, et al. GENE SILENCING. Epigenetic silencing by the HUSH complex mediates position-effect variegation in human cells. Science. 2015;348(6242):1481–1485. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Yang BX, El Farran CA, Guo HC, et al. Systematic identification of factors for provirus silencing in embryonic stem cells. Cell. 2015;163(1):230–245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Jones KA, Kadonaga JT, Luciw PA, Tjian R. Activation of the AIDS retrovirus promoter by the cellular transcription factor, Sp1. Science. 1986;232(4751):755–759. [DOI] [PubMed] [Google Scholar]
  • 43.Fauci AS. Host factors and the pathogenesis of HIV-induced disease. Nature. 1996;384(6609):529–534. [DOI] [PubMed] [Google Scholar]
  • 44.Saleh S, Lu HK, Evans V, et al. HIV integration and the establishment of latency in CCL19-treated resting CD4+ T cells require activation of NF-κB. Retrovirology. 2016;13(1):49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Chan JK, Greene WC. Dynamic roles for NF-κB in HTLV-I and HIV-1 retroviral pathogenesis. Immunol Rev. 2012;246(1):286–310. [DOI] [PubMed] [Google Scholar]
  • 46.Alternate NF-κB-Independent Signaling Reactivation of Latent HIV-1 Provirus. Accessed July 8, 2021. https://journals.asm.org/doi/abs/10.1128/jvi.00495-19 [DOI] [PMC free article] [PubMed]
  • 47.Asin S, Bren GD, Carmona EM, Solan NJ, Paya CV. NF-κB cis -Acting Motifs of the Human Immunodeficiency Virus (HIV) Long Terminal Repeat Regulate HIV Transcription in Human Macrophages. Journal of Virology. 2001;75(23):11408–11416. doi: 10.1128/jvi.75.23.11408-11416.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Matsuda Y, Kobayashi-Ishihara M, Fujikawa D, Ishida T, Watanabe T, Yamagishi M. Epigenetic heterogeneity in HIV-1 latency establishment. Sci Rep. 2015;5:7701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Colin L, Van Lint C. Molecular control of HIV-1 postintegration latency: implications for the development of new therapeutic strategies. Retrovirology. 2009;6:111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Van Lint C, Bouchat S, Marcello A. HIV-1 transcription and latency: an update. Retrovirology. 2013;10:67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Manghera M, Ferguson-Parry J, Lin R, Douville RN. NF-κB and IRF1 Induce Endogenous Retrovirus K Expression via Interferon-Stimulated Response Elements in Its 5′ Long Terminal Repeat. Journal of Virology. 2016;90(20):9338–9349. doi: 10.1128/jvi.01503-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Slotkin RK, Keith Slotkin R, Martienssen R. Transposable elements and the epigenetic regulation of the genome. Nature Reviews Genetics. 2007;8(4):272–285. doi: 10.1038/nrg2072 [DOI] [PubMed] [Google Scholar]
  • 53.Deniz Ö, Frost JM, Branco MR. Regulation of transposable elements by DNA modifications. Nat Rev Genet. 2019;20(7):417–431. [DOI] [PubMed] [Google Scholar]
  • 54.Walter M, Teissandier A, Pérez-Palacios R, Bourc’his D. An epigenetic switch ensures transposon repression upon dynamic loss of DNA methylation in embryonic stem cells. Elife. 2016;5. doi: 10.7554/eLife.11418 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Yang P, Wang Y, Macfarlan TS. The Role of KRAB-ZFPs in Transposable Element Repression and Mammalian Evolution. Trends Genet. 2017;33(11):871–881. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Thomas JH, Schneider S. Coevolution of retroelements and tandem zinc finger genes. Genome Res. 2011;21(11):1800–1812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Wolf G, de Iaco A, Sun M-A, et al. KRAB-zinc finger protein gene expansion in response to active retrotransposons in the murine lineage. Elife. 2020;9. doi: 10.7554/eLife.56337 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Trono D Transposable Elements, Polydactyl Proteins, and the Genesis of Human-Specific Transcription Networks. Cold Spring Harb Symp Quant Biol. 2015;80:281–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Ernst C, Odom DT, Kutter C. The emergence of piRNAs against transposon invasion to preserve mammalian genome integrity. Nature Communications. 2017;8(1). doi: 10.1038/s41467-017-01049-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Robbez-Masson L, Tie CHC, Conde L, et al. The HUSH complex cooperates with TRIM28 to repress young retrotransposons and new genes. Genome Res. 2018;28(6):836–845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Seifarth W, Frank O, Zeilfelder U, et al. Comprehensive Analysis of Human Endogenous Retrovirus Transcriptional Activity in Human Tissues with a Retrovirus-Specific Microarray. Journal of Virology. 2005;79(1):341–352. doi: 10.1128/jvi.79.1.341-352.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Tokuyama M, Kong Y, Song E, Jayewickreme T, Kang I, Iwasaki A. ERVmap analysis reveals genome-wide transcription of human endogenous retroviruses. Proc Natl Acad Sci U S A. 2018;115(50):12565–12572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Ito J, Sugimoto R, Nakaoka H, et al. Systematic identification and characterization of regulatory elements derived from human endogenous retroviruses. PLoS Genet. 2017;13(7):e1006883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Sundaram V, Cheng Y, Ma Z, et al. Widespread contribution of transposable elements to the innovation of gene regulatory networks. Genome Res. 2014;24(12):1963–1976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Pehrsson EC, Choudhary MNK, Sundaram V, Wang T. The epigenomic landscape of transposable elements across normal human development and anatomy. Nat Commun. 2019;10(1):1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Manghera M, Douville RN. Endogenous retrovirus-K promoter: a landing strip for inflammatory transcription factors? Retrovirology. 2013;10:16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Trizzino M, Park Y, Holsbach-Beltrame M, et al. Transposable elements are the primary source of novelty in primate gene regulation. Genome Research. 2017;27(10):1623–1633. doi: 10.1101/gr.218149.116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Faulkner GJ, Kimura Y, Daub CO, et al. The regulated retrotransposon transcriptome of mammalian cells. Nat Genet. 2009;41(5):563–571. [DOI] [PubMed] [Google Scholar]
  • 69.Cohen CJ, Lock WM, Mager DL. Endogenous retroviral LTRs as promoters for human genes: a critical assessment. Gene. 2009;448(2):105–114. [DOI] [PubMed] [Google Scholar]
  • 70.Jordan IK, Rogozin IB, Glazko GV, Koonin EV. Origin of a substantial fraction of human regulatory sequences from transposable elements. Trends Genet. 2003;19(2):68–72. [DOI] [PubMed] [Google Scholar]
  • 71.van de Lagemaat LN, Landry J-R, Mager DL, Medstrand P. Transposable elements in mammals promote regulatory variation and diversification of genes with specialized functions. Trends Genet. 2003;19(10):530–536. [DOI] [PubMed] [Google Scholar]
  • 72.Dunn CA, Romanish MT, Gutierrez LE, van de Lagemaat LN, Mager DL. Transcription of two human genes from a bidirectional endogenous retrovirus promoter. Gene. 2006;366(2):335–342. [DOI] [PubMed] [Google Scholar]
  • 73.McClintock B The origin and behavior of mutable loci in maize. Proc Natl Acad Sci U S A. 1950;36(6):344–355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Britten RJ, Davidson EH. Repetitive and non-repetitive DNA sequences and a speculation on the origins of evolutionary novelty. Q Rev Biol. 1971;46(2):111–138. [DOI] [PubMed] [Google Scholar]
  • 75.Ye M, Goudot C, Hoyler T, Lemoine B, Amigorena S, Zueva E. Specific subfamilies of transposable elements contribute to different domains of T lymphocyte enhancers. Proc Natl Acad Sci U S A. 2020;117(14):7905–7916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Azébi S, Batsché E, Michel F, Kornobis E, Muchardt C. Expression of endogenous retroviruses reflects increased usage of atypical enhancers in T cells. EMBO J. 2019;38(12). doi: 10.15252/embj.2018101107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Sanville B, Dolan MA, Wollenberg K, et al. Adaptive evolution of Mus Apobec3 includes retroviral insertion and positive selection at two clusters of residues flanking the substrate groove. PLoS Pathog. 2010;6:e1000974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Ferreira LMR, Meissner TB, Mikkelsen TS, et al. A distant trophoblast-specific enhancer controls HLA-G expression at the maternal--fetal interface. Proceedings of the National Academy of Sciences. 2016;113(19):5364–5369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Roadmap Epigenomics Consortium, Kundaje A, Meuleman W, et al. Integrative analysis of 111 reference human epigenomes. Nature. 2015;518(7539):317–330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Bogdan L, Barreiro L, Bourque G. Transposable elements have contributed human regulatory regions that are activated upon bacterial infection. Philos Trans R Soc Lond B Biol Sci. 2020;375(1795):20190332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Srinivasachar Badarinarayan S, Shcherbakova I, Langer S, et al. HIV-1 infection activates endogenous retroviral promoters regulating antiviral gene expression. Nucleic Acids Res. 2020;48(19):10890–10908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Nataf S, Uriagereka J, Benitez-Burraco A. The promoter regions of intellectual disability-associated genes are uniquely enriched in LTR sequences of the MER41 primate-specific endogenous retrovirus: An evolutionary connection between immunity and cognition. Front Genet. 2019;10:321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Cañadas I, Thummalapalli R, Kim JW, et al. Tumor innate immunity primed by specific interferon-stimulated endogenous retroviruses. Nature Medicine. 2018;24(8):1143–1150. doi: 10.1038/s41591-018-0116-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Zhou B, Qi F, Wu F, et al. Endogenous Retrovirus-Derived Long Noncoding RNA Enhances Innate Immune Responses via Derepressing RELA Expression. MBio. 2019;10(4). doi: 10.1128/mBio.00937-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Ng KW, Attig J, Bolland W, et al. Tissue-specific and interferon-inducible expression of nonfunctional ACE2 through endogenous retroelement co-option. Nature Genetics. 2020;52(12):1294–1302. doi: 10.1038/s41588-020-00732-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Onabajo OO, Banday AR, Stanifer ML, et al. Interferons and viruses induce a novel truncated ACE2 isoform and not the full-length SARS-CoV-2 receptor. Nat Genet. 2020;52(12):1283–1293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Blume C, Jackson CL, Spalluto CM, et al. A novel ACE2 isoform is expressed in human respiratory epithelia and is upregulated in response to interferons and RNA respiratory virus infection. Nat Genet. 2021;53(2):205–214. [DOI] [PubMed] [Google Scholar]
  • 88.Wang Q, Zhang Y, Wu L, et al. Structural and Functional Basis of SARS-CoV-2 Entry by Using Human ACE2. Cell. 2020;181(4):894–904.e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Lock FE, Babaian A, Zhang Y, et al. A novel isoform of IL-33 revealed by screening for transposable element promoted genes in human colorectal cancer. PLoS One. 2017;12(7):e0180659. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Clayton EA, Rishishwar L, Huang T-C, et al. An atlas of transposable element-derived alternative splicing in cancer. Philos Trans R Soc Lond B Biol Sci. 2020;375(1795):20190342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Roseman RR, Pirrotta V, Geyer PK. The su(Hw) protein insulates expression of the Drosophila melanogaster white gene from chromosomal position-effects. The EMBO Journal. 1993;12(2):435–442. doi: 10.1002/j.1460-2075.1993.tb05675.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Lunyak VV, Prefontaine GG, Núñez E, et al. Developmentally regulated activation of a SINE B2 repeat as a domain boundary in organogenesis. Science. 2007;317(5835):248–251. [DOI] [PubMed] [Google Scholar]
  • 93.Román AC, González-Rico FJ, Fernández-Salguero PM. B1-SINE retrotransposons: Establishing genomic insulatory networks. Mob Genet Elements. 2011;1(1):66–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Ichiyanagi T, Katoh H, Mori Y, et al. B2 SINE Copies Serve as a Transposable Boundary of DNA Methylation and Histone Modifications in the Mouse. Mol Biol Evol. 2021;38(6):2380–2395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Schwalie PC, Ward MC, Cain CE, et al. Co-binding by YY1 identifies the transcriptionally active, highly conserved set of CTCF-bound regions in primate genomes. Genome Biol. 2013;14(12):R148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Zhang Y, Li T, Preissl S, et al. Transcriptionally active HERV-H retrotransposons demarcate topologically associating domains in human pluripotent stem cells. Nat Genet. 2019;51(9):1380–1388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Hu T, Pi W, Zhu X, et al. Long non-coding RNAs transcribed by ERV-9 LTR retrotransposon act in cis to modulate long-range LTR enhancer function. Nucleic Acids Res. 2017;45(8):4479–4492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Kulski JK. Long Noncoding RNA HCP5, a Hybrid HLA Class I Endogenous Retroviral Gene: Structure, Expression, and Disease Associations. Cells. 2019;8(5). doi: 10.3390/cells8050480 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Chiappinelli KB, Strissel PL, Desrichard A, et al. Inhibiting DNA Methylation Causes an Interferon Response in Cancer via dsRNA Including Endogenous Retroviruses. Cell. 2016;164(5):1073. [DOI] [PubMed] [Google Scholar]
  • 100.Srinivasachar Badarinarayan S, Sauter D. Switching Sides: How Endogenous Retroviruses Protect Us from Viral Infections. J Virol. 2021;95(12). doi: 10.1128/JVI.02299-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Schmidt N, Domingues P, Golebiowski F, et al. An influenza virus-triggered SUMO switch orchestrates co-opted endogenous retroviruses to stimulate host antiviral immunity. Proc Natl Acad Sci U S A. 2019;116(35):17399–17408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Osterwalder M, Barozzi I, Tissières V, et al. Enhancer redundancy provides phenotypic robustness in mammalian development. Nature. 2018;554(7691):239–243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Todd CD, Deniz Ö, Taylor D, Branco MR. Functional evaluation of transposable elements as enhancers in mouse embryonic and trophoblast stem cells. Elife. 2019;8. doi: 10.7554/eLife.44344 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Larson MH, Gilbert LA, Wang X, Lim WA, Weissman JS, Qi LS. CRISPR interference (CRISPRi) for sequence-specific control of gene expression. Nat Protoc. 2013;8(11):2180–2196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Fulco CP, Nasser J, Jones TR, et al. Activity-by-contact model of enhancer-promoter regulation from thousands of CRISPR perturbations. Nat Genet. 2019;51(12):1664–1669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Gu B, Swigut T, Spencley A, et al. Transcription-coupled changes in nuclear mobility of mammalian cis-regulatory elements. Science. 2018;359(6379):1050–1055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Mumbach MR, Rubin AJ, Flynn RA, et al. HiChIP: efficient and sensitive analysis of protein-directed genome architecture. Nat Methods. 2016;13(11):919–922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Rubin AJ, Parker KR, Satpathy AT, et al. Coupled Single-Cell CRISPR Screening and Epigenomic Profiling Reveals Causal Gene Regulatory Networks. Cell. 2019;176(1–2):361–376.e17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Pierce SE, Granja JM, Greenleaf WJ. High-throughput single-cell chromatin accessibility CRISPR screens enable unbiased identification of regulatory networks in cancer. Nat Commun. 2021;12(1):2969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Dunn-Fletcher CE, Muglia LM, Pavlicev M, et al. Anthropoid primate–specific retroviral element THE1B controls expression of CRH in placenta and alters gestation length. PLOS Biology. 2018;16(9):e2006337. doi: 10.1371/journal.pbio.2006337 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Babaian A, Mager DL. Endogenous retroviral promoter exaptation in human cancer. Mob DNA. 2016;7:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Laska MJ, Brudek T, Nissen KK, et al. Expression of HERV-Fc1, a human endogenous retrovirus, is increased in patients with active multiple sclerosis. J Virol. 2012;86(7):3713–3722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Dembny P, Newman AG, Singh M, et al. Human endogenous retrovirus HERV-K(HML-2) RNA causes neurodegeneration through Toll-like receptors. JCI Insight. 2020;5(7). doi: 10.1172/jci.insight.131093 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Ogasawara H, Hishikawa T, Sekigawa I, Hashimoto H, Yamamoto N, Maruyama N. Sequence analysis of human endogenous retrovirus clone 4–1 in systemic lupus erythematosus. Autoimmunity. 2000;33(1):15–21. [DOI] [PubMed] [Google Scholar]
  • 115.Fali T, Le Dantec C, Thabet Y, et al. DNA methylation modulates HRES1/p28 expression in B cells from patients with Lupus. Autoimmunity. 2014;47(4):265–271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Schiavetti F, Thonnard J, Colau D, Boon T, Coulie PG. A human endogenous retroviral sequence encoding an antigen recognized on melanoma by cytolytic T lymphocytes. Cancer Res. 2002;62(19):5510–5516. [PubMed] [Google Scholar]
  • 117.Mullins CS, Linnebacher M. Endogenous retrovirus sequences as a novel class of tumor-specific antigens: an example of HERV-H env encoding strong CTL epitopes. Cancer Immunol Immunother. 2012;61(7):1093–1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Rycaj K, Plummer JB, Yin B, et al. Cytotoxicity of Human Endogenous Retrovirus K–Specific T Cells toward Autologous Ovarian Cancer Cells. Clin Cancer Res. 2015;21(2):471–483. [DOI] [PubMed] [Google Scholar]
  • 119.Römer C. Viruses and Endogenous Retroviruses as Roots for Neuroinflammation and Neurodegenerative Diseases. Front Neurosci. 2021;15:648629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Nexø BA, Christensen T, Frederiksen J, et al. The etiology of multiple sclerosis: genetic evidence for the involvement of the human endogenous retrovirus HERV-Fc1. PLoS One. 2011;6(2):e16652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Brudek T, Christensen T, Aagaard L, Petersen T, Hansen HJ, Møller-Larsen A. B cells and monocytes from patients with active multiple sclerosis exhibit increased surface expression of both HERV-H Env and HERV-W Env, accompanied by increased seroreactivity. Retrovirology. 2009;6:104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Mameli G, Poddighe L, Astone V, et al. Novel reliable real-time PCR for differential detection of MSRVenv and syncytin-1 in RNA and DNA from patients with multiple sclerosis. J Virol Methods. 2009;161(1):98–106. [DOI] [PubMed] [Google Scholar]
  • 123.Kremer D, Gruchot J, Weyers V, et al. pHERV-W envelope protein fuels microglial cell-dependent damage of myelinated axons in multiple sclerosis. Proc Natl Acad Sci U S A. 2019;116(30):15216–15225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Madeira A, Burgelin I, Perron H, Curtin F, Lang AB, Faucard R. MSRV envelope protein is a potent, endogenous and pathogenic agonist of human toll-like receptor 4: Relevance of GNbAC1 in multiple sclerosis treatment. J Neuroimmunol. 2016;291:29–38. [DOI] [PubMed] [Google Scholar]
  • 125.Luzhna L, Ilnytskyy Y, Kovalchuk O. Mobilization of LINE-1 in irradiated mammary gland tissue may potentially contribute to low dose radiation-induced genomic instability. Genes Cancer. 2015;6(1–2):71–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Clapes T, Polyzou A, Prater P, et al. Chemotherapy-induced transposable elements activate MDA5 to enhance haematopoietic regeneration. Nat Cell Biol. 2021;23(7):704–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Sekar A, Bialas AR, de Rivera H, et al. Schizophrenia risk from complex variation of complement component 4. Nature. 2016;530(7589):177–183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Mason MJ, Speake C, Gersuk VH, et al. Low HERV-K(C4) copy number is associated with type 1 diabetes. Diabetes. 2014;63(5):1789–1795. [DOI] [PubMed] [Google Scholar]
  • 129.Woolhouse MEJ, Webster JP, Domingo E, Charlesworth B, Levin BR. Biological and biomedical implications of the co-evolution of pathogens and their hosts. Nat Genet. 2002;32(4):569–577. [DOI] [PubMed] [Google Scholar]
  • 130.Paterson S, Vogwill T, Buckling A, et al. Antagonistic coevolution accelerates molecular evolution. Nature. 2010;464(7286):275–278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Daugherty MD, Malik HS. Rules of engagement: molecular insights from host-virus arms races. Annu Rev Genet. 2012;46(1):677–700. [DOI] [PubMed] [Google Scholar]
  • 132.Shaw AE, Hughes J, Gu Q, et al. Fundamental properties of the mammalian innate immune system revealed by multispecies comparison of type I interferon responses. PLoS Biol. 2017;15(12):e2004086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Danko CG, Choate LA, Marks BA, et al. Dynamic evolution of regulatory element ensembles in primate CD4+ T cells. Nat Ecol Evol. 2018;2(3):537–548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Malfavon-Borja R, Feschotte C. Fighting fire with fire: endogenous retrovirus envelopes as restriction factors. J Virol. 2015;89(8):4047–4050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Dunn CA, van de Lagemaat LN, Baillie GJ, Mager DL. Endogenous retrovirus long terminal repeats as ready-to-use mobile promoters: The case of primate β3GAL-T5. Gene. 2005;364:2–12. [DOI] [PubMed] [Google Scholar]
  • 136.Belshaw R, Dawson ALA, Woolven-Allen J, Redding J, Burt A, Tristem M. Genomewide screening reveals high levels of insertional polymorphism in the human endogenous retrovirus family HERV-K(HML2): implications for present-day activity. J Virol. 2005;79(19):12507–12514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Goubert C, Zevallos NA, Feschotte C. Contribution of unfixed transposable element insertions to human regulatory variation. Philos Trans R Soc Lond B Biol Sci. 2020;375(1795):20190331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Payer LM, Steranka JP, Ardeljan D, et al. Alu insertion variants alter mRNA splicing. Nucleic Acids Res. 2019;47(1):421–431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Pluta A, Jaworski JP, Douville RN. Regulation of Expression and Latency in BLV and HTLV. Viruses. 2020;12(10). doi: 10.3390/v12101079 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Philip S, Zahoor MA, Zhi H, Ho Y-K, Giam C-Z. Regulation of human T-lymphotropic virus type I latency and reactivation by HBZ and Rex. PLoS Pathog. 2014;10(4):e1004040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Singh A, Razooky B, Cox CD, Simpson ML, Weinberger LS. Transcriptional bursting from the HIV-1 promoter is a significant source of stochastic noise in HIV-1 gene expression. Biophys J. 2010;98(8):L32–L34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Wong VC, Bass VL, Bullock ME, et al. NF-κB-Chromatin Interactions Drive Diverse Phenotypes by Modulating Transcriptional Noise. Cell Rep. 2018;22(3):585–599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143.Viñuelas J, Kaneko G, Coulon A, et al. Quantifying the contribution of chromatin dynamics to stochastic gene expression reveals long, locus-dependent periods between transcriptional bursts. BMC Biol. 2013;11:15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Schöne S, Bothe M, Einfeldt E, et al. Synthetic STARR-seq reveals how DNA shape and sequence modulate transcriptional output and noise. PLoS Genet. 2018;14(11):e1007793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Dueck H, Eberwine J, Kim J. Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate function. Bioessays. 2016;38(2):172–180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Fritzsch C, Baumgärtner S, Kuban M, Steinshorn D, Reid G, Legewie S. Estrogen-dependent control and cell-to-cell variability of transcriptional bursting. Mol Syst Biol. 2018;14(2):e7678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Osorio D, Yu X, Zhong Y, et al. Single-Cell Expression Variability Implies Cell Function. Cells. 2019;9(1). doi: 10.3390/cells9010014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Losick R, Desplan C. Stochasticity and cell fate. Science. 2008;320(5872):65–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Eldar A, Elowitz MB. Functional roles for noise in genetic circuits. Nature. 2010;467(7312):167–173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Satija R, Shalek AK. Heterogeneity in immune responses: from populations to single cells. Trends Immunol. 2014;35(5):219–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Kellogg RA, Tay S. Noise facilitates transcriptional control under dynamic inputs. Cell. 2015;160(3):381–392. [DOI] [PubMed] [Google Scholar]
  • 152.Kazachenka A, Bertozzi TM, Sjoberg-Herrera MK, et al. Identification, Characterization, and Heritability of Murine Metastable Epialleles: Implications for Non-genetic Inheritance. Cell. 2018;175(5):1259–1271.e13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Elmer JL, Hay AD, Kessler NJ, Bertozzi TM, Ainscough EAC, Ferguson-Smith AC. Genomic properties of variably methylated retrotransposons in mouse. Mob DNA. 2021;12(1):6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Clark HR, McKenney C, Livingston NM, et al. Epigenetically regulated digital signaling defines epithelial innate immunity at the tissue level. Nat Commun. 2021;12(1):1836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Wimmers F, Donato M, Kuo A, et al. The single-cell epigenomic and transcriptional landscape of immunity to influenza vaccination. Cell. 2021;184(15):3915–3935.e21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Satpathy AT, Granja JM, Yost KE, et al. Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion. Nat Biotechnol. 2019;37(8):925–936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Mimitou EP, Lareau CA, Chen KY, et al. Scalable, multimodal profiling of chromatin accessibility, gene expression and protein levels in single cells. Nat Biotechnol. Published online June 3, 2021. doi: 10.1038/s41587-021-00927-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Tsuchiya T, Eulgem T. An alternative polyadenylation mechanism coopted to the Arabidopsis RPP7 gene through intronic retrotransposon domestication. Proc Natl Acad Sci U S A. 2013;110(37):E3535–E3543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Seidl MF, Thomma BPHJ. Transposable Elements Direct The Coevolution between Plants and Microbes. Trends Genet. 2017;33(11):842–851. [DOI] [PubMed] [Google Scholar]
  • 160.Gardner EJ, Lam VK, Harris DN, et al. The Mobile Element Locator Tool (MELT): population-scale mobile element discovery and biology. Genome Res. 2017;27(11):1916–1929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Ewing AD, Smits N, Sanchez-Luque FJ, et al. Nanopore Sequencing Enables Comprehensive Transposable Element Epigenomic Profiling. Mol Cell. 2020;80(5):915–928.e5. [DOI] [PubMed] [Google Scholar]
  • 162.McDonald TL, Zhou W, Castro CP, et al. Cas9 targeted enrichment of mobile elements using nanopore sequencing. Nat Commun. 2021;12(1):3586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Sherman RM, Salzberg SL. Pan-genomics in the human genome era. Nat Rev Genet. 2020;21(4):243–254. [DOI] [PMC free article] [PubMed] [Google Scholar]

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