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  1. ..., unlike in tRNAs, m3C sites in poly(A) RNAs are not specifically associated with loop structures.METTL2A downregulates m3C RNAsTo investigate the role of METTL2A in pancreatic cancer cells, we analyzed METTL2A-regulated genes in AsPC-1 cells. Direct RNA sequencing revealed that METTL2A knockdown led...
  2. ...and is expected to improve the interpretation of transcriptomic data in future genomic studies.RNA sequencing (RNA-seq) has become an essential tool for characterizing transcriptomes (Stark et al. 2019), enabling comprehensive profiling of gene expression, including tissue-specific patterns, disease...
  3. ...of RNA reads from the CAST allele for genes exhibiting CAST-biased ASM were 0.557 and 0.558 for long-read and short-read sequencing. Similarly, genes with B6-biased ASM had higher mean proportion of RNA reads from the B6 allele (0.460 and 0.398, respectively). These observations suggest that ASM...
  4. ...and proceeds along the gene body to transcribe RNA (Jonkers and Lis 2015; Core and Adelman 2019; Noe Gonzalez et al. 2021; Aoi and Shilatifard 2023). As with all steps in the transcription process, elongation is tightly regulated to ensure that RNAPII travels along the gene at a proper speed (i.e., elongation...
  5. ...the many introns of a human gene are removed can substantially influence AS, while nascent RNA polyadenylation can affect RNA stability and decay. However, how splicing order and poly(A) tail length are regulated by genetic variation has never been explored. Here, we used direct RNA nanopore sequencing...
  6. ...increased insight and accuracy. When scRNA-seq data are collected at different times, with different protocols, technologies, or sequencing platforms, the integration becomes increasingly complex. All these factors can affect the expressions of genes in complex ways; some of these differences can...
  7. ...implementation of lentiviral gene therapies. Here, we compare three long-read sequencing technologies for their ability to detect issues in vector design and determine nanopore direct RNA sequencing to be the most powerful. We show how this approach identifies and quantifies incomplete RNA caused by cryptic...
  8. ...and mutations using data sets from tumor sequencing projects, such as The Cancer Genome Atlas (TCGA) (Hutter and Zenklusen 2018; The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium 2020). These tools employ a variety of approaches, including analysis of mutations using gene sequences, protein...
  9. ...and AI Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: ajbattle@jhu.eduAbstractGene coexpression networks (GCNs) describe relationships among genes that maintain cellular identity and homeostasis. However, typical RNA-seq experiments often lack sufficient sample...
  10. ..., catalyzed by the adenosine deaminase acting on RNA (ADAR) enzymes, is a posttranscriptional process that modifies RNA sequences and diversifies the transcriptome. ADARs bind to double-stranded RNA (dsRNA) and their specificity and efficiency are affected by the structural properties of these substructures...
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