ABSTRACT
Transposable elements (TEs) are mobile genomic sequences that encompass roughly 50% of the human genome. Class 1 TEs, or “retrotransposons,” mobilize through the production of an RNA intermediate that is then reverse transcribed to form complementary DNA (cDNA) molecules capable of genomic reinsertion. While TEs are traditionally silenced to maintain genomic integrity, the recognition of immunostimulatory cues, such as those provided by microorganisms, drastically alters host transcription to induce the differential expression of TEs. Emerging evidence demonstrates that the inducible production of TE cDNA is not an inert phenomenon but instead has been coopted by host immunity to facilitate cross talk between host and constituents of the microbiota by agonizing intrinsic antiviral receptors. Here, we demonstrate that immunostimulation of toll-like receptor 4 (TLR4) with lipopolysaccharide (LPS) and TLR5 with bacterial flagella (FLA) alters the expression of retrotransposons, such as human endogenous retroviruses (HERVs) and long interspersed nuclear elements (LINEs). Next, we demonstrate that reverse transcriptase inhibitor (RTi) delivery ameliorates the acute production of the proinflammatory cytokine “tumor necrosis factor alpha” (TNF-α) in response to FLA in a monocytic cell line (THP-1). Collectively, our findings demonstrate that TLR5-mediated cross talk between the host and microbiota is partially dependent on the reverse transcription (RT) of retrotransposons.
KEYWORDS: human endogenous retrovirus (HERV), long interspersed nuclear element (LINE), toll-like receptors (TLRs), innate immunity, flagella
OBSERVATION
Transposable elements (TEs) are highly abundant in the human genome, encompassing roughly 50% of our genetic material (1). TEs are mobile genetic elements that can transpose throughout the genome, and therefore are traditionally repressed to maintain genomic integrity (2). Despite early misconceptions that TEs are purely inert genetic material, recent developments have demonstrated their roles in regulating global transcription (3), mammalian reproduction (4), cellular differentiation (5), the propagation of immunological responses (6, 7), and the pathophysiology of cancers (8) and autoimmunity (9). Our current understanding therefore reevaluates the previous misconception about TEs being “junk” DNA by demonstrating that their cis-regulatory functions and expression are critical to human health and disease.
The microbiota in health and disease.
The microbiota is a reservoir of communicable microorganisms that reside along mucosal barriers and the skin (10). The microbiota provides critical functions to host health by aiding in metabolism, outcompeting pathogens, and by providing a reservoir of immunomodulatory signals that fundamentally shape immunity (10). Despite the overwhelming abundance of literature demonstrating significant associations between host health and microbial composition, many of the mechanisms that connect microbial abundance to host health remain poorly defined. Emerging evidence suggests that microbial cues dictate the expression and activity of TEs (7, 11), therefore posing novel mechanisms by which the poorly understood “dark genome” mediates host-microbe interactions (12). To better understand how microbiota composition can influence host immunity, we investigated how flagella (FLA), an antigenic motor protein typically possessed by pathogenic microorganisms overabundant during dysbiotic conditions (13), influenced the expression of TEs in human leukocytes through activation of toll-like receptor 5 (TLR5). TLR5 functions as an innate immune receptor of FLA, aids in the maintenance of mucosal homeostasis, and protects the host from metabolic syndromes and dysbiosis-driven inflammation (13, 14).
TLR stimulation modulates the expression of clas 1 TES.
To better define the mechanisms underlying TLR-mediated immunity, we stimulated peripheral blood mononuclear cells (PBMCs) from 3 healthy donors at 2 × 106 live cells/mL with 100 ng/mL lipopolysaccharide (LPS) (Ultrapure LPS from E. coli 0111:B4, InvivoGen) or FLA (Ultrapure flagellin from S. Typhimurium, InvivoGen) for 2 h to activate TLR4 or TLR5, respectively. Following activation, we then performed bulk RNA-sequencing on cDNA libraries created from the monocytic and lymphocytic enriched leukocyte fractions (EasySep human monocyte isolation kit, STEMCELL Technologies). Briefly, cDNA libraries were prepared (Illumina stranded total RNA prep with Ribo-Zero Plus, Illumina) from 4.7 ng (monocytic fractions) or 10 ng (lymphocytic fractions) of purified RNA (RNAClean XP, Beckman Coulter). Pair-ended sequencing was performed on an Illumina NovaSeq 6000 using an SP flow cell (2 × 100 bp) with an average output of 34.5 million reads per sample. To determine the effects of TLR activation on TE expression, we quantified TE transcript abundance with locus-specific definition using the bioinformatic pipeline Telescope (15). Briefly, we found that the lymphocytic and monocytic enriched fractions of TLR4- (Fig. 1A and B) and TLR5- (Fig. 1C and D) activated PBMCs display discrete changes in the differential expression of multiple long interspersed nuclear elements (LINE) and human endogenous retrovirus (HERV) elements, suggesting a broad putative role for TEs downstream of TLR signaling. In addition to the changes in TE expression, LPS- and FLA-stimulated PBMC fractions displayed transcriptional changes that signify innate immune activation compared to donor-matched vehicle controls (see Fig. S1 to 4 in the supplemental material). Bar charts demonstrating deviance in the differential expression of TEs (Fig. S5) and a full list of genes/TEs significantly modified (Tables S1 and 2) in the lymphocytic and monocytic fractions of healthy donor PBMCs following acute activation of TLR4 and TLR5 can be found in the supplemental material.
FIG 1.
Acute TLR4 and TLR5 activation of PBMCs leads to discrete changes in TE expression. (A) Acute TLR4 activation leads to significant changes in the differential expression of 34 TE loci in the monocytic fraction of healthy donor PBMCs. (B) Acute TLR4 activation leads to significant changes in the expression of 10 TE loci in the lymphocytic fraction of healthy donor PBMCs. (C) Acute TLR5 activation leads to significant changes in the differential expression of 14 TE loci in the monocytic fraction of healthy donor PBMCs. (D) Acute TLR5 activation leads to significant changes in the expression of 12 TE loci in the lymphocytic fraction of healthy donor PBMCs. All TEs were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 determined by the default Wald test parameters of DESEQ2 (n = 3). A full table of all significantly modified genes and TEs can be found in the supplemental material.
Acute TLR4 activation leads to significant changes in the differential expression of 257 genes in the monocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S1, PDF file, 0.2 MB (162.7KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Acute TLR4 activation leads to significant changes in the differential expression of 38 genes in the lymphocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S2, PDF file, 0.2 MB (185.1KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Acute TLR5 activation leads to significant changes in the differential expression of 119 genes in the monocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S3, PDF file, 0.1 MB (153.4KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Acute TLR5 activation leads to significant changes in the differential expression of 25 genes in the lymphocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S4, PDF file, 0.2 MB (173.4KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
TEs demonstrate significant differential expression following acute TLR4 and TLR5 activation. (A) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the monocytic fraction of TLR4 stimulated PBMCs. (B) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the monocytic fraction of TLR4 stimulated PBMCs. (C) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the lymphocytic fraction of TLR4 stimulated PBMCs. (D) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the lymphocytic fraction of TLR4 stimulated PBMCs. (E) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the monocytic fraction of TLR5 stimulated PBMCs. (F) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the monocytic fraction of TLR5 stimulated PBMCs. (G) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the lymphocytic fraction of TLR5 stimulated PBMCs. (H) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the lymphocytic fraction of TLR5 stimulated PBMCs. Download FIG S5, PDF file, 0.1 MB (66.8KB, pdf) .
Copyright © 2023 Dopkins et al.
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Alterations in gene expression in the lymphocytic and monocytic fractions of human PBMCs following acute TLR4 and TLR5 stimulation. Download Table S1, XLSX file, 0.03 MB (35KB, xlsx) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Alterations in TE expression in the lymphocytic and monocytic fractions of human PBMCs following acute TLR4 and TLR5 stimulation. Download Table S2, XLSX file, 0.01 MB (13.5KB, xlsx) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
RTI delivery suppresses TLR5-mediated TNF-α production.
To determine the role of retrotransposon activity in monocytic cells activated by TLR5 stimulation, we next utilized an in vitro model of TLR5 stimulation using the monocytic cell line THP-1. THP-1 cells were utilized for these experiments due to their highly sensitive FLA response (16), allowing for an in vitro model of acute TLR5 activation. Briefly, we found that acute TLR5 activation of THP-1 cells resulted in increased production of the proinflammatory cytokine tumor necrosis factor alpha (TNF-α) as detected by ELISA (ELISA MAX deluxe set human TNF-α, Biolegend). To determine the role of endogenous reverse transcription (RT) on TNF-α production, we pretreated THP-1 cells with various reverse transcriptase inhibitors (RTis) for 1 h prior to FLA exposure with serial dilutions of both nucleoside (tenofovir, tenofovir disoproxil fumarate [TDF]) and nonnucleoside (efavirenz, nevirapine) RTis. RTis were initially developed for use against HIV-1 infection but have been shown to inhibit the activity of HERV (7, 17, 18) and LINE (19) reverse transcriptase enzymes, therefore providing a tool to determine the role of endogenous cDNA production in the absence of exogenous retroviral infections. RTi preexposure resulted in the amelioration of acute TNF-α production in FLA-stimulated THP-1 cells in a dose-dependent manner (Fig. 2A and B). RTi delivery to THP-1 cells at high doses resulted in a loss of cytokine inhibition, suggesting that this RTi inhibits TNF-α production via a U-shaped hormetic response commonly observed in pharmacological interventions (20). Interestingly, delivery of nucleoside RTis, such as tenofovir and TDF, at low dosages inhibited TNF-α production greater than the delivery of nonnucleoside RTis, such as efavirenz and nevirapine, at equal dosages. This suggests that premature termination of cDNA generation is more efficacious at inhibiting HERV and LINE reverse transcriptase activity than inhibition via allosteric binding with currently available inhibitors in THP-1 cells. Additionally, there was no effect on the “Jurkat” T-cell line, which did not produce detectable levels of TNF-α in response to acute FLA stimulation (data not shown).
FIG 2.
Low-dosage RTi inhibits TLR5-mediated TNF-α production in THP-1 cells. (A) At low doses (2.5 × 105 to 2.5 × 108μM) efavirenz, nevirapine, tenofovir, and tenofovir disoproxil fumarate ameliorate acute TNF-α production in response to TLR5 activation in a dose-dependent manner. Individual values are represented of the average value per experiment, while each experiment was performed with 2 to 3 technical replicates (n = 3, Two-way ANOVA with Dunnett's multiple-comparison test with Geisser-Greenhouse's correction for comparing individualized means per condition to the no-antiretroviral [ARV] positive control; F [1.395, 11.16] = 8.818, P = 0.0083). (B) Fold change in TNF-α production normalized per experiment (n = 3, Two-way ANOVA with Dunnett's multiple-comparison test with Geisser-Greenhouse's correction for comparing individualized means per condition to the no-ARV positive control; F [1.667, 13.34] = 12.23, P = 0.0014). All P values within the range of 0.1 or lower are displayed and significant P values are denoted by a standard scale of *, P < 0.05; **, P < 0.01; and ***, P < 0.001. Dots represent experimental averages with the mean per condition represented at the graph base.
Discussion.
TLRs are innate immune receptors that maintain homeostatic conditions by raising danger signals in response to infection or damage. To better elucidate the role of TEs in innate immunity, we analyzed the capacity for TEs to mediate proinflammatory cytokine production in response to TLR5 activation by FLA, an antigenic bacterial motor protein typically possessed by opportunistic and overt pathogens. TLR5 signaling maintains homeostasis at mucosal surfaces by preventing the onset of microbial dysbiosis, and dysfunctional TLR5 signaling contributes to dysbiotic outgrowth and associated pathologies (13, 14). Our findings demonstrate that the acute activation of TLR4 and TLR5 on primary human leukocytes drives discrete changes in the differential expression of multiple TEs. The observed changes in LINE and HERV expression are not conserved across PBMC fractions or TLRs, suggesting that the discrete changes in expression are personalized to cell-type and TLR-specific pathways. Furthermore, inhibition of the endogenous RT activity suppresses production of TNF-α in response to FLA in THP-1 cells, suggesting that innate immune signaling pathways have coopted endogenous cDNA production to propagate TLR5 signaling. It is currently unclear if RT activity resulting from FLA stems from intracellular signaling downstream of TLR5 activation, cell-cell interactions that follow TLR5 activation, or an upregulation in response to TLR5-mediated inflammatory cytokine production in the media. Collectively, however, these results suggest that TE expression and TLR signaling are more deeply intercalated than previously thought, and that TE activity is critical to the sensing of pathogenic microorganisms. Our data suggest further experimentation is needed to better define this phenomenon but leads to an intriguing hypothesis that repurposing RTis might provide therapeutic relief to conditions characterized by overt hyperactivation of TLR5 signaling, such as cystic fibrosis (21, 22).
Code availability.
Source code can be found available at https://github.com/nixonlab/dopkins_jan2022.
Data availability.
The data sets presented in this study can be found online at https://www.ncbi.nlm.nih.gov/bioproject/ under the BioProject number PRJNA903272. Source code can be found available at https://github.com/nixonlab/dopkins_jan2022.
ACKNOWLEDGMENTS
This work was supported in part by US National Institutes of Health (NIH) grants NCI CA260691 and CA206488.
Footnotes
This article is a direct contribution from Douglas F. Nixon, a Fellow of the American Academy of Microbiology, who arranged for and secured reviews by Joel Ernst, University of California, San Francisco, and Ulf Dittmer, Universitätsklinikum Essen.
Contributor Information
Nicholas Dopkins, Email: nid4009@med.cornell.edu.
Satya Dandekar, University of California, Davis.
REFERENCES
- 1.Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, FitzHugh W, Funke R, Gage D, Harris K, Heaford A, Howland J, Kann L, Lehoczky J, LeVine R, McEwan P, McKernan K, Meldrim J, Mesirov JP, Miranda C, Morris W, Naylor J, Raymond C, Rosetti M, Santos R, Sheridan A, Sougnez C, Stange-Thomann Y, Stojanovic N, Subramanian A, Wyman D, Rogers J, Sulston J, Ainscough R, Beck S, Bentley D, Burton J, Clee C, Carter N, Coulson A, Deadman R, Deloukas P, Dunham A, Dunham I, Durbin R, French L, Grafham D, International Human Genome Sequencing Consortium, et al. 2001. Initial sequencing and analysis of the human genome. Nature 409:860–921. doi: 10.1038/35057062. [DOI] [PubMed] [Google Scholar]
- 2.Dopkins N, O'Mara MM, Lawrence E, Fei T, Sandoval-Motta S, Nixon DF, Bendall ML. 2022. A field guide to endogenous retrovirus regulatory networks. Mol Cell 82:3763–3768. doi: 10.1016/j.molcel.2022.09.011. [DOI] [PubMed] [Google Scholar]
- 3.Bourque G, Burns KH, Gehring M, Gorbunova V, Seluanov A, Hammell M, Imbeault M, Izsvák Z, Levin HL, Macfarlan TS, Mager DL, Feschotte C. 2018. Ten things you should know about transposable elements. Genome Biol 19:199. doi: 10.1186/s13059-018-1577-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Mi S, Lee X, Li X, Veldman GM, Finnerty H, Racie L, LaVallie E, Tang XY, Edouard P, Howes S, Keith JC, McCoy JM. 2000. Syncytin is a captive retroviral envelope protein involved in human placental morphogenesis. Nature 403:785–789. doi: 10.1038/35001608. [DOI] [PubMed] [Google Scholar]
- 5.He J, Babarinde IA, Sun L, Xu S, Chen R, Shi J, Wei Y, Li Y, Ma G, Zhuang Q, Hutchins AP, Chen J. 2021. Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE. Nat Commun 12:1456. doi: 10.1038/s41467-021-21808-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chuong EB, Elde NC, Feschotte C. 2016. Regulatory evolution of innate immunity through co-option of endogenous retroviruses. Science 351:1083–1087. doi: 10.1126/science.aad5497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lima-Junior DS, Krishnamurthy SR, Bouladoux N, Collins N, Han S-J, Chen EY, Constantinides MG, Link VM, Lim AI, Enamorado M, Cataisson C, Gil L, Rao I, Farley TK, Koroleva G, Attig J, Yuspa SH, Fischbach MA, Kassiotis G, Belkaid Y. 2021. Endogenous retroviruses promote homeostatic and inflammatory responses to the microbiota. Cell 184:3794–3811.e19. doi: 10.1016/j.cell.2021.05.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Reid Cahn A, Bhardwaj N, Vabret N. 2022. Dark genome, bright ideas: recent approaches to harness transposable elements in immunotherapies. Cancer Cell 40:792–797. doi: 10.1016/j.ccell.2022.07.003. [DOI] [PubMed] [Google Scholar]
- 9.Greenig M. 2019. HERVs, immunity, and autoimmunity: understanding the connection. PeerJ 7:e6711. doi: 10.7717/peerj.6711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Fan Y, Pedersen O. 2021. Gut microbiota in human metabolic health and disease. Nat Rev Microbiol 19:55–71. doi: 10.1038/s41579-020-0433-9. [DOI] [PubMed] [Google Scholar]
- 11.Young GR, Mavrommatis B, Kassiotis G. 2014. Microarray analysis reveals global modulation of endogenous retroelement transcription by microbes. Retrovirology 11:59. doi: 10.1186/1742-4690-11-59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dopkins N, O’Mara MM, Singh B, Marston JL, Bendall ML, Nixon DF. 2022. How human endogenous retroviruses interact with the microbiota in health and disease. Trends Microbiol 30:812–815. doi: 10.1016/j.tim.2022.05.011. [DOI] [PubMed] [Google Scholar]
- 13.Vijay-Kumar M, Aitken JD, Carvalho FA, Cullender TC, Mwangi S, Srinivasan S, Sitaraman SV, Knight R, Ley RE, Gewirtz AT. 2010. Metabolic syndrome and altered gut microbiota in mice lacking Toll-like receptor 5. Science 328:228–231. doi: 10.1126/science.1179721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Singh V, Yeoh BS, Chassaing B, Xiao X, Saha P, Aguilera Olvera R, Lapek JD, Zhang L, Wang W-B, Hao S, Flythe MD, Gonzalez DJ, Cani PD, Conejo-Garcia JR, Xiong N, Kennett MJ, Joe B, Patterson AD, Gewirtz AT, Vijay-Kumar M. 2018. Dysregulated microbial fermentation of soluble fiber induces cholestatic liver cancer. Cell 175:679–694.e22. doi: 10.1016/j.cell.2018.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bendall ML, de Mulder M, Iñiguez LP, Lecanda-Sánchez A, Pérez-Losada M, Ostrowski MA, Jones RB, Mulder LCF, Reyes-Terán G, Crandall KA, Ormsby CE, Nixon DF. 2019. Telescope: characterization of the retrotranscriptome by accurate estimation of transposable element expression. PLoS Comput Biol 15:e1006453. doi: 10.1371/journal.pcbi.1006453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.McDermott PF, Ciacci-Woolwine F, Snipes JA, Mizel SB. 2000. High-affinity interaction between Gram-negative flagellin and a cell surface polypeptide results in human monocyte activation. Infect Immun 68:5525–5529. doi: 10.1128/IAI.68.10.5525-5529.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Tyagi R, Li W, Parades D, Bianchet MA, Nath A. 2017. Inhibition of human endogenous retrovirus-K by antiretroviral drugs. Retrovirology 14:21. doi: 10.1186/s12977-017-0347-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Baldwin ET, Götte M, Tchesnokov EP, Arnold E, Hagel M, Nichols C, Dossang P, Lamers M, Wan P, Steinbacher S, Romero DL. 2022. Human endogenous retrovirus-K (HERV-K) reverse transcriptase (RT) structure and biochemistry reveals remarkable similarities to HIV-1 RT and opportunities for HERV-K–specific inhibition. Proc Natl Acad Sci USA 119:e2200260119. doi: 10.1073/pnas.2200260119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Takahashi T, Stoiljkovic M, Song E, Gao X-B, Yasumoto Y, Kudo E, Carvalho F, Kong Y, Park A, Shanabrough M, Szigeti-Buck K, Liu Z-W, Kristant A, Zhang Y, Sulkowski P, Glazer PM, Kaczmarek LK, Horvath TL, Iwasaki A. 2022. LINE-1 activation in the cerebellum drives ataxia. Neuron 110:3278–3287.e8. doi: 10.1016/j.neuron.2022.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Calabrese EJ, Baldwin LA. 2001. U-shaped dose-responses in biology, toxicology, and public health. Annu Rev Public Health 22:15–33. doi: 10.1146/annurev.publhealth.22.1.15. [DOI] [PubMed] [Google Scholar]
- 21.Blohmke CJ, Victor RE, Hirschfeld AF, Elias IM, Hancock DG, Lane CR, Davidson AGF, Wilcox PG, Smith KD, Overhage J, Hancock REW, Turvey SE. 2008. Innate immunity mediated by TLR5 as a novel antiinflammatory target for cystic fibrosis lung disease. J Immunol 180:7764–7773. doi: 10.4049/jimmunol.180.11.7764. [DOI] [PubMed] [Google Scholar]
- 22.Blohmke CJ, Park J, Hirschfeld AF, Victor RE, Schneiderman J, Stefanowicz D, Chilvers MA, Durie PR, Corey M, Zielenski J, Dorfman R, Sandford AJ, Daley D, Turvey SE. 2010. TLR5 as an anti-inflammatory target and modifier gene in cystic fibrosis. J Immunol 185:7731–7738. doi: 10.4049/jimmunol.1001513. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Acute TLR4 activation leads to significant changes in the differential expression of 257 genes in the monocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S1, PDF file, 0.2 MB (162.7KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Acute TLR4 activation leads to significant changes in the differential expression of 38 genes in the lymphocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S2, PDF file, 0.2 MB (185.1KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Acute TLR5 activation leads to significant changes in the differential expression of 119 genes in the monocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S3, PDF file, 0.1 MB (153.4KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Acute TLR5 activation leads to significant changes in the differential expression of 25 genes in the lymphocytic fraction of healthy donor PBMCs. All genes were identified as being significantly modulated by possessing a fold change of ≥1 and a P value <0.05 by the default Wald test parameters of DESEQ2 (n = 3). Download FIG S4, PDF file, 0.2 MB (173.4KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
TEs demonstrate significant differential expression following acute TLR4 and TLR5 activation. (A) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the monocytic fraction of TLR4 stimulated PBMCs. (B) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the monocytic fraction of TLR4 stimulated PBMCs. (C) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the lymphocytic fraction of TLR4 stimulated PBMCs. (D) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the lymphocytic fraction of TLR4 stimulated PBMCs. (E) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the monocytic fraction of TLR5 stimulated PBMCs. (F) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the monocytic fraction of TLR5 stimulated PBMCs. (G) Bar charts demonstrating the significantly modified expression of individual HERV element loci within the lymphocytic fraction of TLR5 stimulated PBMCs. (H) Bar charts demonstrating the significantly modified expression of individual LINE element loci within the lymphocytic fraction of TLR5 stimulated PBMCs. Download FIG S5, PDF file, 0.1 MB (66.8KB, pdf) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Alterations in gene expression in the lymphocytic and monocytic fractions of human PBMCs following acute TLR4 and TLR5 stimulation. Download Table S1, XLSX file, 0.03 MB (35KB, xlsx) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Alterations in TE expression in the lymphocytic and monocytic fractions of human PBMCs following acute TLR4 and TLR5 stimulation. Download Table S2, XLSX file, 0.01 MB (13.5KB, xlsx) .
Copyright © 2023 Dopkins et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Data Availability Statement
The data sets presented in this study can be found online at https://www.ncbi.nlm.nih.gov/bioproject/ under the BioProject number PRJNA903272. Source code can be found available at https://github.com/nixonlab/dopkins_jan2022.


