Searching journal content for articles similar to Temiz et al. 26 (1): 119.

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  1. ...in pancreatic cancer tumors, while also being essential for pancreatic cancer cell proliferation. Using comparative nanopore direct RNA sequencing, we identify potential METTL2A-mediated m3C sites in poly(A) RNA. These m3C sites are mapped in both messenger RNA and mitochondrial RNA and are enriched in the CC...
  2. ...of microRNA expression analyses is reflected by the existence of thousands of sRNA-seq studies in which matched total RNA-seq data are often unavailable. The lack of paired sequencing experiments limits the analysis of microRNA–gene regulatory networks. Here, we explore whether protein-coding gene...
  3. ...in a substantial number of transcript isoforms. However, a significant portion of alternative transcripts will not be detected through high-throughput sequencing-based single-cell RNA-seq methods due to the short-read length and the inherent bias toward 3′ or 5′ ends of the transcripts (Joglekar et al. 2023...
  4. ...in the heart. We downloaded lists of differentially expressed genes (DEGs) of cell clusters from single-cell RNA-seq data collected during and after heart development from six sources, including adult human hearts with no cardiac disease (Tucker et al. 2020), mice hearts collected at various time points...
  5. ...of Pharmaceutical Biotechnology and Department of Medicine, the University of Hong Kong, Hong Kong SAR, China ↵9 These authors contributed equally to this work. Corresponding authors: su@chemie.uni-siegen.de, zhouxm@scnu.edu.cn, qz.lian@siat.ac.cnAbstractRNA sequencing (RNA-seq) is a pivotal tool for transcriptomic...
  6. ...and colored by categories specified in A.To validate the isoform detection, we sequenced RNA from another wild-type mouse retina sample aged P50 at the bulk level, obtaining ∼37 million ONT long reads and conducted isoform identification and classification (Supplemental Fig. S4; Methods). Consequently, 13...
  7. .... 2021, 2023) in SR scRNA-seq were developed, compensating the 3′ capture bias by pooling large amounts of cells or sequencing at very high read depths. However, SR scRNA-seq is unsuited to detect isoforms or gene fusions. Long-read (LR) scRNA-seq, in contrast, sequences full-length RNA molecules, and we...
  8. ....uhrig@dkfz.de, b.brors@dkfz.deAbstractThe identification of gene fusions from RNA sequencing data is a routine task in cancer research and precision oncology. However, despite the availability of many computational tools, fusion detection remains challenging. Existing methods suffer from poor prediction accuracy...
  9. ...Dayea Park and Can Cenik Department of Molecular Biosciences, University of Texas at Austin, Austin, Texas 78712, USA Corresponding author: ccenik@austin.utexas.eduAbstractLong-read sequencing technology enables highly accurate detection of allele-specific RNA expression, providing insights...
  10. ...also examined two ONT assemblies generated with Flye (Kolmogorov et al. 2019), with different read length cutoffs (1 kb and 45 kb; the coverages are 400× and 100×). Briefly, we checked for each mRNA, the proportion of its sequence that is present in the assemblies (Supplemental Methods). The rationale...
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