How Epitranscriptomic Machinery Senses Environmental Cues
TL;DR
A kinetics‐to‐sensors approach for interpreting time‐resolved epitranscriptomic datasets and prioritizing perturbations that discriminate among candidate upstream inputs is proposed and outline conceptual gaps and experimental practices needed to establish causal cue‐to‐mark chains.
Abstract
Environmental fluctuations remodel RNA modification landscapes, yet the routes that connect cue detection to writer–eraser–reader control remain dispersed across disciplines. Here, we consolidate upstream mechanisms capable of driving epitranscriptomic change and organize them by response speed. At the fastest proximal level, catalytic output can be modulated through shifts in substrate and cofactor availability, redox and ionic state, temperature, and direct chemical or metal interference with enzyme active sites, although transcriptome‐wide RNA readouts may appear later. Over minutes to hours, cue‐responsive signaling can reach the machinery through post‐translational modification, partner switching, subcellular trafficking, and stress‐induced condensates that may gate access to modified transcripts. Across hours to days, regulator abundance and specificity are reshaped by transcriptional programs, translational control, and protein quality‐control pathways, enabling adaptation and, in some contexts, persistence. We propose a kinetics‐to‐sensors approach for interpreting time‐resolved epitranscriptomic datasets and prioritizing perturbations that discriminate among candidate upstream inputs. We also outline conceptual gaps and experimental practices needed to establish causal cue‐to‐mark chains.