tRNAs are abundant small RNAs that deliver amino acids and decode codons during translation. Beyond this canonical job, tRNAs actively regulate translation and disease through three key determinants of function: tRNA expression, tRNA modification, and tRNA charging. Altered expression reshapes codon-dependent translation; modifications such as m7G and m1A influence translational speed and fidelity; and charging controls efficiency because only charged tRNAs can take part in protein synthesis, with reduced charging impairing translation and cellular function. Growing evidence connects abnormalities in these tRNA features to cancer, cardiovascular, neurodegenerative, and infectious diseases.
Arraystar provides integrated sequencing, microarray, PCR, and LC-MS services covering tRNA charging, expression, and modification, empowering advanced research into tRNA function and disease mechanisms.
One-Stop tRNA Portfolio
tRNA Charging
tRNA Expression
Small RNA Array
tRNA Modification
tRNA Modification Seq – m1A, m3C, m1G, m2,2G
Small RNA Modification Array
LC-MS Based tRNA Modification Analysis
tRNA Related Reagents and Kits
rtStar™ tRNA Pretreatment & First-Strand cDNA Synthesis Kit
rtStar™ Pre-designed tRNA Primer Sets (H/M)
NuRNA™ tRNA Modification Enzymes PCR Array (H)
Whether you are investigating charging dynamics with tRNA Charging Seq, expression changes with tRNA Sequencing or the Small RNA Array, or modification landscapes with Modification Seq, TRAC-Seq, HAC-Seq, and LC-MS, the portfolio is designed so that technologies can be combined in a single integrated program.
Arraystar tRNA Charging Seq (modification-induced misincorporation tRNA-seq) simultaneously profiles tRNA expression, modification, and charging, providing comprehensive profiles for tRNA studies in cancer drug resistance, cardiac fibrosis, and many other diseases.
Advantages
• Simultaneous tRNA expression, modification, and charging profiles.
• High-yield full-length tRNA cDNA synthesis reduces mapping and counting inaccuracy.
• Broad modification coverage, e.g., m1A, m1G, m3C, acp3U, predicted at single-nucleotide resolution.
• Seamless integration with translatomics to correlate charging with translation.
• Rich multi-omics data with common analyses and detailed annotations.
• Publication-ready graphics and visualization.