1,523 publications from this institution
Toll-like receptors (TLRs) are germline-encoded pattern recognition receptors (PRRs) that play a central role in host cell recognition and responses to microbial pathogens. TLR-mediated recognition of components derived from a wide range of pathogens and their role in the subsequent initiation of innate immune responses is widely accepted; however, the recent discovery of non-TLR PRRs, such as C-type lectin receptors, NOD-like receptors, and RIG-I-like receptors, suggests that many aspects of innate immunity are more sophisticated and complex. In this review, we will focus on the role played by TLRs in mounting protective immune responses against infection and their crosstalk with other PRRs with respect to pathogen recognition.
The activation of the innate immune responses by DNA exposed within the cytosol has gained much attention and, in this context, several cytosolic DNA sensors have been identified. However, previous studies revealed the operation of redundant and complex mechanisms and it still remains to be clarified how the DNA-mediated evocation of diverse innate immune responses can be achieved. Here we show that two RIG-I-like receptors (RLRs), RIG-I and MDA5, known as cytosolic RNA receptors, nonredundantly function as cytosolic DNA receptors that lead to the selective activation of type I IFN genes. We demonstrate that overexpression of otherwise IFN-inducible RIG-I or MDA5 in IFN signal-deficient cells results in a marked enhancement of type I IFN gene induction upon cytosolic DNA stimulation, while in their absence the induction is impaired. Interestingly, the DNA-mediated induction of other cytokine genes was barely affected by the absence of RLRs. Indeed, unlike the RNA-RLR pathway that activates the transcription factors IRF3 and NF-kappaB, the DNA-RLR pathway is primarily responsible for the IRF3 activation critical for type I IFN gene transcription, illustrating a deliberate divergence of the DNA signaling pathways. Expectedly, the RLR pathway also contributes to intricate innate immune responses against infection by a DNA virus. Our study may provide insights into the complexity of host defense mechanisms that thwart immune evasion by DNA-containing pathogens.
Data related to the article "Noninvasive detection of macrophage activation with<br> single-cell resolution through machine learning". The package contains 2 folders:<br> - RawData: This package contains raw data and examples of processing to extract the<br> variables employed to train and assess the models.<br> - Variables: This package contains the extracted data from the various experiments<br> showed in the article.