Abstract
Innate immune response is triggered by pathogen components, like lipopolysaccharides (LPS) of gram-negative bacteria. LPS initiates Toll-like receptor 4 (TLR4) signaling, which involves mitogen activated protein kinases (MAPK) and nuclear factor kappa B (NFκB) in different pathway branches and ultimately induces inflammatory cytokine and chemokine expression, macrophage migration and phagocytosis. Timely gene transcription and post-transcriptional control of gene expression confer the adequate synthesis of signaling molecules. As trans-acting factors RNA binding proteins (RBPs) contribute significantly to the surveillance of gene expression. RBPs are involved in the regulation of mRNA processing, localization, stability and translation. Thereby they enable rapid cellular responses to inflammatory mediators and facilitate a coordinated systemic immune response. Specific RBP binding to conserved sequence motifs in their target mRNAs is mediated by RNA binding domains, like Zink-finger domains, RNA recognition motifs (RRM), and hnRNP K homology domains (KH), often arranged in modular arrays. In this review, we focus on RBPs Tristetraprolin (TTP), human antigen R (HUR), T-cell intracellular antigen 1 related protein (TIAR), and heterogeneous ribonuclear protein K (hnRNP K) in LPS induced macrophages as primary responding immune cells. We discuss recent experiments employing RNA immunoprecipitation and microarray analysis (RIP-Chip) and newly developed individual-nucleotide resolution crosslinking and immunoprecipitation (iCLIP), photoactivatable ribonucleoside-enhanced crosslinking (PAR-iCLIP) and RNA sequencing techniques (RNA-Seq). The global mRNA interaction profile analysis of TTP, HUR, TIAR, and hnRNP K exhibited valuable information about the post-transcriptional control of inflammation related gene expression with a broad impact on intracellular signaling and temporal cytokine expression.
Introduction
The immune responses against bacteria, viruses and parasites require tight regulation, because uncontrolled, excessive or persisting immune reactions provoke inflammatory diseases (Zanotti et al., 2002). As a central component of the innate immune response, macrophages sense pathogen components such as lipopolysaccharides (LPS), an essential constituent of the outer membrane of gram-negative bacteria. Recognition of LPS by TLR4 on the macrophage surface results in the activation of MAPK and NFκB dependent signaling pathways, which activate inflammation related genes encoding pro- and anti-inflammatory cytokines and chemokines (Medzhitov and Horng, 2009; Takeuchi and Akira, 2010; Smale, 2012; Vaure and Liu, 2014). The underlying genome-wide changes in macrophage gene expression (Reynier et al., 2012; Rutledge et al., 2012) require downstream post-transcriptional checkpoints, which are critical for the appropriate modulation of immune reactions (; ). Emerging experimental evidence highlights the impact of RNA binding proteins (RBPs) on the post-transcriptional control of the immune response (; ; ; Mino and Takeuchi, 2018; Turner and Diaz-Munoz, 2018).
By analyzing RNA-protein interaction profiling and RNA sequencing experiments with TTP, HUR, TIAR, and hnRNP K we provide an overview on their target mRNAs, which are regulated at the level of mRNA stability and translation in LPS activated macrophages.
Zink-Finger Protein TTP Controls Target mRNA Decay in Inflammation
Tristetraprolin, encoded by the gene Zfp36, has been characterized as critical mRNA destabilizing protein in immune cells (; ). To initiate target mRNA decay, TTP mediates the recruitment of deadenylation and decapping complexes to the mRNA 3′ untranslated region (3′UTR) and 5′UTR, respectively (; ). Tandem CCCH-type zinc-finger domains of TTP interact with AU-rich elements (ARE) that are mainly located in mRNA 3′UTRs (; Worthington et al., 2002). In macrophages, target mRNAs primarily encode proteins related to inflammation response, among them cytokines and chemokines (; ; Stoecklin et al., 2008; ; Sedlyarov et al., 2016; Tiedje et al., 2016). Under steady state conditions TTP is ubiquitously expressed at a basal level. Inflammatory stimuli like LPS and cytokines mediate transcriptional and post-transcriptional induction of TTP expression (; Schaljo et al., 2009; Sedlyarov et al., 2016). AREs in TTP mRNA 3′UTR represent bona fide functional TTP binding sites. An auto-inhibitory feedback regulation established through the interaction of TTP with these AREs secures a decrease in TTP expression when inflammatory stimuli decline. Thereby TTP contributes to regulatory circuits, which prevent the development of chronic inflammation (Tchen et al., 2004; Schott et al., 2014). TTP deficiency in mice causes a systemic inflammatory syndrome, which is in part attributable to the absence of TTP-controlled tumor necrosis factor (TNFα) mRNA destabilization (Taylor et al., 1996; ). In macrophages, LPS triggered TLR4 signaling leads to the stabilization of TTP target mRNAs and their enhanced translation (Tiedje et al., 2012, 2016). TTP serine phosphorylation catalyzed by TLR4 downstream kinase MK2 induces its sequestration by 14-3-3 proteins and target mRNA release (; Stoecklin et al., 2004). Hence CCR4-Not1 deadenylation complex recruitment is abrogated (Marchese et al., 2010; ; Sandler et al., 2011), target mRNAs are stabilized (; ) and translation-promoting factors replace TTP (Tiedje et al., 2012; Figure 1A).
FIGURE 1
Four studies examined the impact of TTP on inflammation-related pathways: (I) (Stoecklin et al., 2008) identified TTP bound mRNAs in untreated and LPS induced murine RAW264.7 macrophages by TTP co-immunoprecipitation and RIP-Chip analysis (Table 1). (II) To investigate TTP-driven mRNA decay (
Table 1
| RBP | Study | Mouse genotype | Cell type | LPS | Analytical strategy | Antibody | Data deposition |
|---|---|---|---|---|---|---|---|
| TTP | Stoecklin et al., 2008 | RAW264.7 mouse macrophages | 2 h,10 ng/ml LPS, E. coli 026:B6 (Sigma) | RIP-Chip Affymetrix Mouse Genome 430 2.0 array covering 39.000 transcripts | Rabbit anti-TTP | doi: 10.1074/jbc.M709657200 | |
| C57BL/6 mice TTP(wt) and TTP(-/-) | BMDM | 3 h, 10 ng/ml LPS, E. coli 055:B5 (Sigma) | RIP-Chip Affymetrix Mouse Gene ST 1.0 array covering 28 853 genes | Rabbit anti-TTP (Schaljo et al., 2009) | http://www.ncbi.nlm.nih.gov/geo/acc. GSE28880. | ||
| Tiedje et al., 2016 | C57BL/6 TTP(-/-) mice expr. GFP-TTP(wt) and GFP-TTP(S52,178A) | BMDM | 1 h, 1 μg/μl LPS | iCLIP | GFP-nanobodies | http://www.ncbi.nlm.nih.gov/geo/acc. GSE81250 TTP-atlas: http://ttp-atlas.univie.ac.at | |
| Sedlyarov et al., 2016 | C57BL/6 mice TTP(wt) and TTP(ΔM) | BMDM | 3 h, 6 h, 10 ng/ml LPS (Sigma) | PAR-iCLIP | Rabbit anti-TTP ( | http://www.ncbi.nlm.nih.gov/geo/acc. GSE63468 TTP-atlas: http://ttp-atlas.univie.ac.at | |
| HUR | Sedlyarov et al., 2016 | C57BL/6 mice TTP(wt) and TTP(ΔM) | BMDM | 3 h, 6 h, 10 ng/ml LPS (Sigma) | PAR-iCLIP | HUR, clone 3A2 (Thermo Fisher Sci.) | http://www.ncbi.nlm.nih.gov/geo/acc. GSE63468 TTP-atlas: http://ttp-atlas.univie.ac.at |
| TIAR | RAW264.7, expr. TIAR- or TIAR-ΔRRM-FLAG | 2 h, 100 ng/ml LPS, E. coli 0127:B8 (Sigma) | RIP-Chip Mouse Exonic Evidence Based Oligonucleotide (MEEBO) array covering 38.784 70mer probes (Stanford University, United States) | Anti-FLAG M2 agarose (Sigma) | http://www.ncbi.nlm.nih.gov/geo/acc.GSE77577 | ||
| hnRNP K | RAW264.7 mouse macrophages | 6 h, 10 ng/ml LPS, E. coli 0111:B4 (Sigma) | RIP-Chip Affymetrix Mouse Genome 430 2.0 array covering 39.000 transcripts | monoclonal hnRNP K (Naarmann et al., 2008) | http://www.ncbi.nlm.nih.gov/geo/acc.GSE48463 | ||
Experimental strategies, tools and conditions employed in the studies discussed.
Information related to experimental tools and conditions as provided in the original papers.
Detailed inspection of sequence motifs in TTP bound mRNAs, which were detected in the different studies (Table 1) revealed AU-rich TTP binding sites represented by AUUUA pentamers and UUAUUUAUU nonamers (Stoecklin et al., 2008). In target mRNA 3′UTRs UAUUUAU heptamers (Sedlyarov et al., 2016) are highly enriched as well. MRNAs encoding checkpoint regulators of LPS induced inflammation response, e.g., TNFα, IL-10, IL-15, CXCL2, and CCL2 were identified with all applied experimental and data validation strategies. Interestingly
HUR a Versatile RRM Domain Protein Modulates mRNA Stability
The ubiquitously expressed protein HUR, which is encoded by Elavl1, consists of two consecutive N-terminal RNA recognition motifs (RRM), a central less conserved basic hinge region and a third C-terminal RRM (
TIAR, a RRM Domain Protein Contributes to mRNA Translation Control
The two closely related DNA/RNA-binding proteins, T-cell intracellular antigen 1 (TIA-1) (
RRM2 and RRM3 contribute to nuclear accumulation of TIA proteins and nuclear export, respectively (Zhang et al., 2005). Both interact with U-rich stretches near mRNA 5′-splice sites (
In the cytoplasm, TIA proteins interact with 3′UTR AREs of mRNAs encoding inflammation related proteins. TIAR was shown to bind to the TNFα mRNA 3′UTR in RAW264.7 cells (
Interestingly, TIA proteins have also been shown to contribute to global translation regulation under amino acid starvation in HEK293S cells. TIA proteins bind to the 5′-oligopyrimidine tract of 5′-TOP mRNAs, which encode critical components of the translational apparatus, like ribosomal proteins and PABP-C1 and induce the release of these target mRNAs from actively translating polysomes (
RIP-Chip experiments were performed by
T-cell intracellular antigen 1 related protein ARE binding specificity was lower than that of TTP (Stoecklin et al., 2008), but not affected by LPS treatment (
KH Domain Protein hnRNP K Modulates mRNA Translation
Heterogeneous ribonuclear protein K was first described as a structural component of nuclear ribonucleoprotein complexes associated with heterogeneous nuclear RNA (Pinol-Roma et al., 1988; Matunis et al., 1992). The protein contains three KH domains consisting of 65–70 amino acids (
As multifunctional protein hnRNP K is associated with transcription activation (Moumen et al., 2005), pre-mRNA splicing (
In human Thp-1 monocytes, hnRNP K was shown to be associated with the COX-2 promoter and to control cytoplasmic COX-2 mRNA stability by modulating miRNA binding to the 3′UTR (Shanmugam et al., 2008).
RIP-Chip analysis of differential mRNA binding in untreated and LPS induced RAW264.7 macrophages demonstrated that 1901 mRNAs were differential bound by hnRNP K in response to LPS. GO term annotation allocated them to biological processes related to metabolism, cell communication, transport, cell cycle, development and immune response (
Conclusion and Perspectives
As primary responding cells of the innate immune system, macrophages recognize pathogens and become activated to initiate and coordinate the organism-wide systemic immune response by cytokine and chemokine secretion, migration and phagocytosis. These processes require highly coordinated gene expression, which is achieved at the post-transcriptional level by regulated functional RBP-RNA interactions. Specific RBPs, TTP, HUR, TIAR, and hnRNP K, regulate the fate of their cellular target RNAs from synthesis to turnover and translation, thereby contributing to the coordination of the rapid and purposeful immune cell responses. LPS molecules of gram-negative bacteria are abundant and specific ligands that activate macrophages through TLR4 receptor signaling. Systematic analyses of RBP-RNA interaction in untreated and LPS-induced macrophages employing RIP-Chip, iCLIP, PAR-iCLIP, RNAseq, and RiboSeq studies revealed a first insight in the complex protein-mRNA networks that are established by RBPs, which bind mRNAs with different specificities for AREs and U-rich elements, like TTP, HUR, and TIAR and pyrimidine-rich sequence motifs, like hnRNP K based on their individual domain composition. These specific interactions ensure the simultaneous modulation of various target mRNAs, which encode proteins that function in defined biological processes related to the induction and resolution of immune response. Whereas TIAR and hnRNP K mainly modulate mRNA translation, which enables the direct regulation of signaling protein synthesis to initiate immune response, TTP and HUR are primarily involved in the control of mRNA decay and stability that is required to balance and resolve immune reactions.
These processes have been studied so far only for a limited number of mRNAs differentially bound by RBPs in response to LPS. It will be essential and informative to investigate the regulation of further target mRNAs of TTP, HUR, TIAR, and hnRNP K discovered in these studies to get more insight in regulatory feedback mechanisms that coordinate the balanced immune response and its dysregulation in chronic inflammation.
To this end it is interesting to note that a number of unconventional RBPs, have been identified recently, for which RNA related functions that will expand our understanding of post-transcriptional gene regulation still need to be elucidated (
In macrophages, 19 new putative RBPs, which lack well characterized RNA binding domains were identified by RNA interactome capture (
In addition, post-transcriptional RNA modifications (Nachtergaele and He, 2018) might add a further layer of regulation in LPS-induced macrophages, affecting RBP binding and thereby the fate of their target mRNAs.
Statements
Author contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Funding
Financial support was provided by a grant from the Deutsche Forschungsgemeinschaft (DFG) SPP 1935, OS 290/6-1.
Acknowledgments
We apologize to colleagues whose work was not cited due to length constrictions.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
RNA-binding proteins, post-transcriptional regulation, inflammation, bacterial lipopolysaccharides, macrophage activation
Citation
Ostareck DH and Ostareck-Lederer A (2019) RNA-Binding Proteins in the Control of LPS-Induced Macrophage Response. Front. Genet. 10:31. doi: 10.3389/fgene.2019.00031
Received
24 September 2018
Accepted
17 January 2019
Published
04 February 2019
Volume
10 - 2019
Edited by
Maritza Jaramillo, National Institute of Scientific Research, University of Quebec, Canada
Reviewed by
Martina Schroeder, Maynooth University, Ireland; Roberto Gherzi, University of California, San Diego, United States
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© 2019 Ostareck and Ostareck-Lederer.
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*Correspondence: Antje Ostareck-Lederer, aostareck@ukaachen.de
This article was submitted to RNA, a section of the journal Frontiers in Genetics
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