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  1. ..., in vitro approaches, in which the editor is combined with human genomic DNA and sites where editing may occur are identified biochemically, are important tools. Existing biochemical approaches for off-target discovery recognize double-stranded breaks generated by nuclease-based gene editors such as SpCas9...
  2. ...the other three. We later noted previous reports of very closely related phages being isolated in even more distant global positions, such as Norway, Greece, and Chile or such as Puerto Rico and Antarctica, and sometimes across several years (Breitbart et al. 2004; Kalatzis et al. 2017; Bellas et al. 2020...
  3. .... 2012; Maurano et al. 2015). However, these pharmacological inhibitors of DNMTs alter the DNA methylation landscape globally, induce broad transcriptional changes, and result in highly pleiotropic off-target effects. Therefore, these are not suitable to understand the nuanced impact of DNA methylation...
  4. ...al. 2015). Genome-wide increases in DNA methylation levels, particularly at CHH sites, were detected in cultured samples during somatic embryogenesis in soybean (Ji et al. 2019). In sweet orange, the global CHH methylation levels were significantly decreased at the callus induction stage...
  5. ...://www.microbiomeatlas.org).View larger version: In this window In a new window Figure 1. Characterization of the global gut microbiome in health and disease. Pan-metagenomics association studies of health and disease. Corresponding data sets were publicly shared as a resource: the Human Gut Microbiome Atlas (HGMA). (A) The geographical...
  6. ....0/.References ↵The 1000 Genomes Project Consortium. 2015. A global reference for human genetic variation. Nature 526: 68–74. doi:10.1038/nature15393 ↵Castel SE, Levy-Moonshine A, Mohammadi P, Banks E, Lappalainen T. 2015. Tools and best practices for data processing in allelic expression analysis. Genome Biol...
  7. ...-seq data from TCGA, the landscape of APA regulating 3′ UTR lengthening and shortening has been characterized by several previous studies (Xia et al. 2014; Feng et al. 2018). On the other hand, global studies of APA using RNA-seq data from other regions, such as intronic regions, that could alter coding...
  8. ...gene expression. It showed that host genes had a greater variance in expression level (Supplemental Fig. S5A), suggesting that these genes are expressed in a limited set of tissues. As the standard deviation is influenced by the level of expression, we investigated the global level of expression across...
  9. ...) and identified 54,000 candidate TSS clusters. Comparing these csRNA-defined TSS clusters with existing annotations and other data generated in K562 cells revealed a global overlap with known features of transcription initiation (Supplemental Fig. S3A). Ninety-four percent of the TSSs mapped to promoter...
  10. ...antibody. Scale bar is 20 μm. (J) Quantification of METTL3–METTL14 PLA foci as detected in I. The number of PLA foci/nuclei are shown as mean ± SD. Data presented from multiple experiments with the total number of cells counted, n = <100. One-way ANOVA test was performed; (****) P < 0.0001.The global loss...
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