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  1. ..., Bruhm DC, Jensen SØ, Medina JE, Hruban C, White JR, et al. 2019. Genome-wide cell-free DNA fragmentation in patients with cancer. Nature 570: 385–389. doi:10.1038/s41586-019-1272-6 ↵De Coster W, Weissensteiner MH, Sedlazeck FJ. 2021. Towards population-scale long-read sequencing. Nat Rev Genet 22: 572...
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  2. ...-in orientations in vitro (Song et al. 2011, 2014). However, to what extent nucleosomes modulate CPD deamination in other sequence contexts and across the of intact cells remains unclear.Genome-wide sequencing methods have emerged as powerful tools to understand how different genomic and chromatin contexts impact...
  3. ...also considered that the direction of regulation may not be the same across a regulatory cascade or pathway. For example, although activators typically promote gene expression by facilitating the recruitment of RNA polymerase and transcriptional machinery, their effects on downstream targets can...
  4. ...of nascent RNA identifies a unified architecture of initiation regions at mammalian promoters and enhancers. Nat Genet 46: 1311–1320. doi:10.1038/ng.3142 ↵Crawford GE, Holt IE, Whittle J, Webb BD, Tai D, Davis S, Margulies EH, Chen Y, Bernat JA, Ginsburg D, et al. 2006. Genome-wide mapping of DNase...
  5. ...organization and development), YOLOOP can be utilized to facilitate future research, including enhancer-promoter loop detection, and joint analysis with ChIP-seq, RNA-seq, DNase-seq, and FAIRE-seq data. Given its robustness and fast adaption, it can also be helpful to assist researchers in the study of single...
  6. ...et al. 2019; Teets et al. 2023). Neural events also control the production and release of prothoracicotropic hormone (PTTH), as well as the production of ecdysone (Ahmadi et al. 2021). Additionally, downstream genes, such as microRNAs regulated by ecdysone titers (e.g., let-7, miR-252, and miR-8–3p...
  7. ...window Figure 2. Genome-wide diversity and differentiation for common voles, M. arvalis, from the Orkney archipelago (brown) versus continental individuals (green). Density distributions (top) and Manhattan plots (bottom) for π, Tajima's D, and FST in 50 kb windows along the . Different chromosomes...
  8. ...Table S4 for details of the enhancers.Because GRO-seq is an in vitro transcription assay, we validated the up-regulation of enhancers in Kdm1a-GT mESCs under physiological conditions by sequencing the total cellular RNAs (RNA-seq) and nuclear RNAs (nuclear RNA-seq), but neither provided sufficiently...
  9. ...represented by the average FPKM of the gene calculated from the RNA-seq results in three independent libraries. Error bar indicates the SE. Paired t-test: (*) P = 0.04245 versus the control.To further identify the roles of these SEs in transcriptional regulation, enhancers were assigned to their target genes...
  10. ...assays 646 For gene expression analysis, total RNA was extracted, reverse transcribed, and quantified by 647 qRT-PCR using gene-specific primers. To investigate chromatin interactions between the SRE 648 region and target genes (FBXO28 and TP53BP2), Chromatin Conformation Capture (3C) 649 libraries were...
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