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Early identification of IDH mutation status is of great significance in clinical therapeutic decision-making in the treatment of glioma. We demonstrate a technological solution to improve the accuracy and reliability of IDH mutation detection by combining MRI-based prediction and a CRISPR-based automatic integrated gene detection system (AIGS). A model was constructed to predict the IDH mutation status using whole slices in MRI scans with a Transformer neural network, and the predictive model achieved accuracies of 0.93, 0.87, and 0.84 using the internal and two external test sets, respectively. Additionally, CRISPR/Cas12a-based AIGS was constructed, and AIGS achieved 100% diagnostic accuracy in terms of IDH detection using both frozen tissue and FFPE samples in one hour. Moreover, the feature attribution of our predictive model was assessed using GradCAM, and the highest correlations with tumor cell percentages in enhancing and IDH-wildtype gliomas were found to have GradCAM importance (0.65 and 0.5, respectively). This MRI-based predictive model could, therefore, guide biopsy for tumor-enriched, which would ensure the veracity and stability of the rapid detection results. The combination of our predictive model and AIGS improved the early determination of IDH mutation status in glioma patients. This combined system of MRI-based prediction and CRISPR/Cas12a-based detection can be used to guide biopsy, resection, and radiation for glioma patients to improve patient outcomes. [ABSTRACT FROM AUTHOR]

Post‐transcriptional modification of nucleosides is observed in almost all elements of RNA. Modified nucleosides finely tune the structure of RNA molecules and affect vital functions, such as the modified wobble position 34 of transfer RNAs expanding the reading preference of anticodons to codons. Recent investigations have revealed that the modification species and their frequencies in an RNA element are not stable but vary with specific cellular factors including metabolites and particular proteins (writers, readers, and erasers). To understand the link between dynamic RNA modifications and biological processes, sensitive and reliable methods for determining modified nucleosides are required. In this study, micro‐flow (8 μL/min) hydrophilic interaction liquid chromatography was coupled with triple quadrupole mass spectrometry for the simultaneous determination of adenosine, uridine, cytidine, guanosine, and 20 modified nucleosides. The method was calibrated using 0.1–1000 nM standards (∼0.03–300 ng/mL) and successfully applied to the determination of transfer RNA modifications in the model cyanobacterium Synechococcus elongatus PCC 7942. A protocol for the isolation of a clean transfer RNA pool was optimized, requiring only 25 ng for the identification and quantification of transfer RNA modifications. This micro‐flow liquid chromatography‐tandem mass spectrometry method constitutes the first step toward monitoring dynamic ribonucleoside modifications in a limited RNA sample. [ABSTRACT FROM AUTHOR]