Cellular Sentinels: Toll like receptors ring alarms as key players in immunity



The Toll-like receptors (TLRs) are a family of evolutionarily ancient Patten Recognition Receptors (PRRs) that rapidly detect microbial infection and stimulate the production of pro-inflammatory and antiviral cytokines and chemokines, as well as initiating significant metabolic shifts within the cell. Acting as cellular sentinels for infectious threats, signalling downstream of TLRs sets the stage for successful development of adaptive immunity 1.

The repertoire of these type I transmembrane proteins varies by organism, with the human genome encoding ten TLRs. Human TLRs are localised to the either the plasma membrane or to endosomes and interact directly with conserved microbial structures known as Pathogen Associated Molecular Patterns (PAMPs) 1,2. They are expressed on a wide variety of cell types including monocytes, macrophages, neutrophils, eosinophils, T cells, B cells, NK cells, dendritic cells, mast cells and epithelial cells 3. Table 1 summarizes the cellular localization and ligand specificity of each receptor. Extensive structural information from mammalian TLRs shows that ligand binding involves direct molecular interactions between the appropriate PAMP and TLR homo- or heterodimers. These TLR-PAMP interactions involve the N-terminal TLR ectodomains, which consist of multiple leucine-rich-repeats (LRRs) that adopt a characteristic horseshoe-shaped conformation.

Table 1. The cellular location and activating ligands of human TLRs.
Receptor Cellular location Microbial Ligand
TLR2/1 heterodimer Plasma Membrane Di-acylated Lipoproteins
TLR2/6 heterodimer Plasma Membrane Tri-acylated Lipoproteins
TLR3 Endosome Double Stranded RNA
TLR4 Plasma Membrane Lipopolysaccharide (LPS)
TLR5 Plasma Membrane Bacterial Flagellin
TLR7 Endosome Single Stranded RNA
TLR8 Endosome Single Stranded RNA
TLR9 Endosome Unmethylated CpG DNA
TLR10 Plasma Membrane Not confirmed

Upon PAMP-mediated TLR dimerization, the cytosolic Toll/interleuckin-1 receptor (TIR) domains of each receptor are brought into proximity. This initiates a signalling cascade leading to a variety of cellular responses. The adapter protein MAL/TIRAP is a peripheral membrane protein that associates with dimerised TIR domains and initiates the assembly of a large signalling complex known as the myddosome 4. Multiple copies of MyD88 are recruited via TIR domain interactions, which then engage and activate molecules of the IRAK4, IRAK2 and IRAK1 serine/threonine kinases via death domain-death domain interactions. TRAF6, an E3 ubiquitin ligase, is then recruited to the myddosome, leading to a range of downstream signalling events. Activation of NF-κB and AP-1 transcription factors proceeds through the IKK and MAPK kinases, respectively and drives the expression of inflammatory genes. TRAF6 also acts via TBK1 kinase to swiftly initiate glycolysis following TLR engagement. 1

MyD88 is required for signalling by all TLRs except for TLR3 and TLR4. TLR4 signals through the peripheral membrane adaptor protein TRAM via TRIF and the postulated triffosome signalling complex in addition to MyD88. TLR3 signals exclusively through TRIF in a manner that does not require the TRAM adapter protein. The triffosome, like the myddosome, can activate TRAF6, but additionally activates TRAF3, leading to IRF3 activation and the induction of type I interferons 1.

As potent mediators of immune responses, TLR signalling pathways are relevant in many areas of human disease 2. There is considerable interest in TLR agonist molecules as candidates for novel vaccine adjuvants, key vaccine components that enhance immune responses when co-administered with antigens 2,5. Rare mutations in components of the TLR signalling pathways can lead to greater vulnerability to certain infectious diseases. Patients with inactivating mutations in IRAK4 and MyD88 are highly susceptible to severe bacterial infections in childhood, particularly Streptococcus pneumoniae, Pseudomonas aeruginosa and Staphylococcus aureus 6,7. Polymorphisms in various TLR genes are also associated with susceptibility to various autoimmune diseases including Type 1 Diabetes, Graves’ Disease, Systemic Lupus Erythematosus, Rheumatoid Arthritis and Multiple Sclerosis although the mechanistic role of these polymorphisms is currently unclear 8. Multiple lines of evidence support a role for TLR signalling in the pathogenesis of sepsis, but clinical trials of molecules targeting TLRs as treatments for sepsis, such as the TLR4 antagonist eritoran, have proved disappointing so far 9. TLR expression is increased in many tumour types, and activation of these receptors may contribute to the inflammatory tumour microenvironment and promote tumour progression. However, activation of these same pathways on immune cells can enhance anti-tumor activities and presents a promising therapeutic avenue in cancer immunotherapy 2,10.

Using Kegg Pathway Assessment, we compared known TLR signalling pathway genes with our catalogue of HAP1 and Cancer cell lines. Of the known 102 TLR signalling pathway genes identified in the Kegg Assessment, we have 57 cell lines available. Check out the list below for gene coverage and links to product pages.

Gene knockouts available in HAP1 and Cancer Cell Lines
Gene knockouts available in Cancer Cell Lines
AKT1 IFNAR2 IRF7 MAP3K7 MYD88 PIK3R3 TBK1 TRAF6
AKT2 IFNB1 JUN MAP3K8 NFKB1 RAC1 TICAM1
AKT3 IKBKB MAP2K1 MAPK11 NFKBIA RELA TIRAP
CASP8 IKBKE MAP2K2 MAPK12 PIK3CA RIPK1 TLR2
CHUK IRAK1 MAP2K3 MAPK13 PIK3CB SPP1 TLR4
FADD IRAK4 MAP2K4 MAPK14 PIK3CD STAT1 TLR7
FOS IRF3 MAP2K6 MAPK8 PIK3R1 TAB1 TLR8
IFNAR1 IRF5 MAP2K7 MAPK9 PIK3R2 TAB2 TRAF3

 

John Wright
Written by John Wright, PhD, Process Development Team Lead
John is a Team Leader in Process Development in the Revvity Cambridge Cell Engineering and Screening Services group, working on the development and implementation of new processes and service offerings to support customers’ work in biomedical research and drug discovery. Prior to joining Revvity in 2019, he spent 10 years conducting post-doctoral research on the interactions between bacterial pathogens and host cells. He has extensive expertise in the generation of engineered models in bacterial and mammalian cells.

https://scholar.google.com/citations?user=cSBqlXQAAAAJ&hl=en

 

References
  1. Fitzgerald KA, Kagan JC. (2020). Toll-like Receptors and the Control of Immunity. Cell, 180(6):1044-1066. doi: 10.1016/j.cell.2020.02.041.
  2. Li, D., Wu, M. Pattern recognition receptors in health and diseases. Sig Transduct Target Ther 6, 291 (2021). https://doi.org/10.1038/s41392-021-00687-0
  3. Liu G, Zhao Y. (2007) Toll-like receptors and immune regulation: their direct and indirect modulation on regulatory CD4+ CD25+ T cells. Immunology. 122(2):149-56. doi: 10.1111/j.1365-2567.2007.02651.x.
  4. Motshwene PG, et al. (2009) An oligomeric signaling platform formed by the Toll-like receptor signal transducers MyD88 and IRAK-4. J Biol Chem. 284(37):25404-11. doi: 10.1074/jbc.M109.022392.
  5. Arshpreet K, et al. Toll-like receptor (TLR) agonists as a driving force behind next-generation vaccine adjuvants and cancer therapeutics. (2022). Current Opinion in Chemical Biology. 70: 102172. doi: 10.1016/j.cbpa.2022.102172.
  6. Maglione PJ, et al. (2014) IRAK-4 and MyD88 deficiencies impair IgM responses against T-independent bacterial antigens. Blood. 124(24):3561-71. doi: 10.1182/blood-2014-07-587824.
  7. Picard C, et al. (2010) Clinical Features and Outcome of Patients With IRAK-4 and MyD88 Deficiency. Medicine 89(6): 403-425. doi: 10.1097/MD.0b013e3181fd8ec3
  8. Zhang Y, et al. (2021). Toll-Like Receptors Gene Polymorphisms in Autoimmune Disease. Frontiers in Immunology. 12, 672346. doi=10.3389/fimmu.2021.672346.
  9. Chen F, et al. (2021) Targeting Toll-Like Receptors in Sepsis: From Bench to Clinical Trials. Antioxid Redox Signal. 35(15):1324-1339. doi: 10.1089/ars.2021.0005.
  10. Takeda Y, et al.(2017) A TLR3-Specific Adjuvant Relieves Innate Resistance to PD-L1 Blockade without Cytokine Toxicity in Tumor Vaccine Immunotherapy. Cell Rep. 30;19(9):1874-1887. doi: 10.1016/j.celrep.2017.05.015