Searching journal content for articles similar to Hesse et al. 16 (8): 1041.

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  1. ...Strain-level metagenomic profiling using pan graphs with PanTax Wenhai Zhang1,2,5, Yuansheng Liu3,5, Guangyi Li2,5, Jialu Xu2, Enlian Chen2, Alexander Schönhuth4 and Xiao Luo1,2 1Hunan Research Center of the Basic Discipline for Cell Signaling, Hunan University, Changsha, Hunan 410082, China; 2...
  2. .... ADARs bind to double-stranded RNA (dsRNA), and their specificity and efficiency are affected by the structural properties of these substructures. In most cases, the dsRNA structure arises from homology between two segments of the same RNA molecule that fold into RNA stem structures. Another possible...
  3. ...in oligodendrocytes. (E) Genome Browser tracks of aggregate chromatin accessibility profiles and RNA signals for representative subclasses at selected age-associated DAC and DEG pairs.Our findings, along with previous studies, highlight neuroinflammation driven by the cGAS-STING pathway, which is activated during...
  4. ...-life and the expression of housekeeping or highly abundant genes do not bias the results. Analysis of the expression of both microRNAs and coding genes from the same sRNA-seq experiments demonstrates that known microRNA–target interactions are, as expected, inversely correlated with the expression profiles of these microRNA–mRNA...
  5. ..., Pennsylvania 19104, USA Corresponding authors: montanoc@chop.edu, wtimp@jhu.eduAbstractIn this mini-review, we explore the advancements in -wide DNA methylation profiling, tracing the evolution from traditional methods such as methylation arrays and whole- bisulfite sequencing to the cutting-edge single-molecule...
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  6. ...a systematic comparison between single-cell long-read and conventional short-read RNA sequencing techniques. The transcriptome of approximately 30,000 mouse retina cells was profiled using 1.54 billion Illumina short reads and 1.40 billion Oxford Nanopore Technologies long reads. Consequently, we identify 44...
  7. ...that dynamically shape the transcriptome by producing diverse RNA isoforms remain incompletely understood. Here, through longitudinal transcriptomic profiling of cardiomyogenesis, we delineate pervasive RNA isoform switching across the developmental trajectory of cardiac differentiation. We show that the changes...
  8. ..., long-read sequencing-based methods, using single-molecule real-time (SMRT) or nanopore sequencing technology, can directly detect modified bases, eliminating the need for such preprocessing (Moshitch-Moshkovitz et al. 2022; Kong et al. 2023). The SMRT sequencing platform has been adapted for direct RNA...
  9. ...-seq and BruChase-seq to 24 investigate RNA dynamics across 16 human cell lines, as part of the ENCODE4 Deeply 25 Profiled Cell Lines collection. Our analyses show that RNA turnover dynamics differ 26 widely between transcripts of different genes and among different classes of RNA but 27 remain primarily cell...
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  10. ...the transcriptome (Eisenberg and Levanon 2018; Duan 2025). Editing events taking place in coding sequences (CDSs)might alter the genomically encoded amino acid and lead to nonsynonymous changes, namely, “recoding” (Alon et al. 2015). Genome-wide profiling of RNA editing sites has been performed in several metazoans...
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