PT - JOURNAL ARTICLE AU - Maurizio Mauro AU - Massimiliano Berretta AU - Giuseppe Palermo AU - Vincenzo Cavalieri AU - Gaspare La Rocca TI - The Multiplicity of Argonaute Complexes in Mammalian Cells AID - 10.1124/jpet.122.001158 DP - 2023 Jan 01 TA - Journal of Pharmacology and Experimental Therapeutics PG - 1--9 VI - 384 IP - 1 4099 - http://jpet.aspetjournals.org/content/384/1/1.short 4100 - http://jpet.aspetjournals.org/content/384/1/1.full SO - J Pharmacol Exp Ther2023 Jan 01; 384 AB - Argonautes (AGOs) are a highly conserved family of proteins found in most eukaryotes and involved in mechanisms of gene regulation, both at the transcriptional and post-transcriptional level. Among other functions, AGO proteins associate with microRNAs (miRNAs) to mediate the post-transcriptional repression of protein-coding genes. In this process, AGOs associate with members of the trinucleotide repeat containing 6 protein (TNRC6) family to form the core of the RNA-induced silencing complex (RISC), the effector machinery that mediates miRNA function. However, the description of the exact composition of the RISC has been a challenging task due to the fact the AGO’s interactome is dynamically regulated in a cell type- and condition-specific manner. Here, we summarize some of the most significant studies that have identified AGO complexes in mammalian cells, as well as the approaches used to characterize them. Finally, we discuss possible opportunities to exploit what we have learned on the properties of the RISC to develop novel anti-cancer therapies.SIGNIFICANCE STATEMENT The RNA-induced silencing complex (RISC) is the molecular machinery that mediates miRNA function in mammals. Studies over the past two decades have shed light on important biochemical and functional properties of this complex. However, many aspects of this complex await further elucidation, mostly due to technical limitations that have hindered full characterization. Here, we summarize some of the most significant studies on the mammalian RISC and discuss possible sources of biases in the approaches used to characterize it.