RR3DD: an RNA global structure-based RNA three-dimensional structural classification database

Post-transcriptional regulation of myeloid cell-mediated inflammatory responses

Myeloid cells, particularly macrophages, act as the frontline responders to infectious agents and initiate inflammation. While the molecular mechanisms driving inflammatory responses have primarily focused on pattern recognition by myeloid cells and subsequent transcriptional events, it is crucial to note that post-transcriptional regulation plays a pivotal role in this process. In addition to the transcriptional regulation of innate immune responses, additional layers of intricate network of post-transcriptional mechanisms critically determine the quantity and duration of key inflammatory products and thus the outcome of immune responses. A multitude of mechanisms governing post-transcriptional regulation in innate immunity have been uncovered, encompassing RNA alternative splicing, mRNA stability, and translational regulation. This review encapsulates the current insights into the post-transcriptional regulation of inflammatory genes within myeloid cells, with particular emphasis on translational regulation during inflammation. While acknowledging the advancements, we also shed light on the existing gaps in immunological research pertaining to post-transcriptional levels and propose perspectives that controlling post-transcriptional process may serve as potential targets for therapeutic interventions in inflammatory diseases.

GAIA: G-quadruplexes in alive creature database

G-quadruplexes (G4) are 3D structures that are found in both DNA and RNA. Interest in this structure has grown over the past few years due to both its implication in diverse biological mechanisms and its potential use as a therapeutic target, to name two examples. G4s in humans have been widely studied; however, the level of their study in other species remains relatively minimal. That said, progress in this field has resulted in the prediction of G4s structures in various species, ranging from bacteria to eukaryotes. These predictions were analysed in a previous study which revealed that G4s are present in all living kingdoms. To date, eleven different databases have grouped the various G4s depending on either their structures, on the proteins that might bind them, or on their location in the various genomes. However, none of these databases contains information on their location in the transcriptome of many of the implicated species. The GAIA database was designed so as to make this data available online in a user-friendly manner. Through its web interface, users can query GAIA to filter G4s, which, we hope, will help the research in this field. GAIA is available at: https://gaia.cobius.usherbrooke.ca.