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Tian, P.-Y.

Publications and source records attributed to Tian, P.-Y..

2 recordsLinked to original sources

m1A58 acts as a conformational checkpoint coupling human initiator tRNA maturation to translation initiation

tRNAs are characterized by extensive chemical modifications that influence tRNA fate. N1-methyladenosine at position 58 (m1A58) is a widespread core tRNA modification linked to physiological and pathological processes. However, how m1A58 coordinate tRNA folding and processing to ensure translational efficiency in mammalian cells remains largely unknown. Using acute dTAG-mediated degradation and CRISPR-Cas9 knockout, we identified initiator methionine tRNA (tRNAiMet) as selectively vulnerable to m1A58 loss, lacking the isodecoder buffering observed for most other tRNA isoacceptors. NMR analysis of the tRNAiMet showed that m1A58 stabilizes D/T-loop interactions, consistent with a maturation-competent conformation. In vitro processing assays further demonstrated that m1A58 promotes RNase P-mediated 5'-leader removal and RNase Z-mediated 3'-trailer cleavage, while La/SSB protects accumulated precursors. Disrupting this checkpoint impaired the assembly of the eIF2-containing 43S pre-initiation complex and global protein synthesis, which was substantially rescued by adding m1A58-modified tRNAiMet. Acute TRMT6 degradation elicited temporally coordinated gene-expression responses involving proteostasis, transport and signaling. Together, these findings establish m1A58 as a conformational checkpoint coupling human initiator-tRNA maturation to translation initiation and stress responses.

molecular biology↗

Ultra-sensitive FLORA-seq links cell-type-specific tRNAome dynamics to differentiation trajectories guiding therapeutic suppressor tRNA candidate selection

Mammalian genomes encode hundreds of tRNA genes, but the role of individual tRNAs in development and cell identity remains unclear. Here, we introduce FLORA-seq, a method for simultaneous, low-input profiling of tRNAs, tRNA-derived RNAs (tdRs) and their modifications from as few as 5-20 cells. Applying FLORA-seq to mouse hematopoiesis revealed 50 high-variance isodecoders whose expression profiles recapitulate known hematopoietic cell types and correlate with differentiation trajectories. At the isoacceptor level, tRNA pools are largely stable within hematopoietic stem and progenitor cells (HSPCs), showing only subtle, specific variations, but become both distinct from HSPCs and internally stable within each terminally differentiated lineage. We further detected dynamic changes in tdR ratios and modification patterns, underscoring precise tRNA regulation during differentiation. Crucially, analysis of 54 endogenous tRNA isodecoders and their engineered suppressor counterparts showed that efficient premature termination codon readthrough preferentially arises from highly expressed cognate isodecoders. This correlation provides a rational framework for prioritizing suppressor tRNA candidates and implies non-redundant functions for individual isodecoders.

molecular biology↗