Searching journal content for articles similar to De Kumar et al. 25 (8): 1229.

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  1. ...insertions and lineage-specific duplicated genes. Our findings suggest independent evolution of subterminal caps converging on a common genetic and epigenetic structure that promoted ectopic exchange as well as the emergence of novel genes at transition regions between euchromatin and heterochromatin...
  2. ...Dynamic A-to-I RNA editing in response to gut microbiome 1 in honey bees 2 3 Yuange Duan1 #, Min Huang1 #, Lin Ye1 #, Ling Ma1, Yashuai Wu1, Yating Du1, Jiyao Liu1, 4 Fan Song1, Li Tian1, Wanzhi Cai1, Hu Li1, Xin Zhou1, Shiqi Luo1 * 5 6 1. State Key Laboratory of Agricultural and Forestry...
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  3. ...of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland ↵6 These authors contributed equally to this work. Corresponding authors: urszula.mcclurg@liverpool.ac.uk, mratajewski@cbm.pan.pl, lpulaski@uni.lodz.plAbstractTranscriptional regulation lies at the heart of cellular identity and function...
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  4. ...authors: watersto@uw.edu, valerie.reinke@yale.eduAbstractA catalog of transcription factor (TF) binding sites in the is critical for deciphering regulatory relationships. Here, we present the culmination of the efforts of the modENCODE (model organism Encyclopedia of DNA Elements) and modERN (model...
  5. ...directly within the spatial context, such as clustering, pseudotime analysis, and spatial neighborhood modeling. Such capability enables more precise characterization of spatial heterogeneity and cellular interactions.ResultsThe Polyomino algorithmPolyomino begins by creating square (or hexagon) bins...
  6. ...-based transcriptional regulatory networks. Overall, these results illustrate the power of an approach combining genetic perturbation with high-resolution epigenomic profiling; the latter enables a close examination of the interplay between TFs and nucleosomes -wide, providing a deeper, more mechanistic understanding...
  7. ...considered significantly associated with seasonal stage. Expression profiles of these significant genes were then clustered to explore temporal dynamics using DEGreport (v1.44) (https://bioconductor.org/packages/DEGreport). As these genes had already been filtered for statistical significance and lacked...
  8. ...integrated analyses of single-cell RNA-seq data from multiple human tissues and organs. Single-cell epigenomic data further indicate that the expression is likely driven by an alternative promoter at the end of the first exon, resulting in at least one shorter transcript (referred to as sXIST) that is active...
  9. ...samples clustered much more strongly by data set when considering transcript abundance. This analysis highlighted a general convergence at the level of exon inclusion, with KCl-stimulated samples looking more similar to one another despite origin, whereas sample heterogeneity was driven largely by data...
  10. ...decreased variability (negative drift). Integration with single-cell RNA-seq data demonstrates that positive drift-CpGs are associated with increased transcriptional variability and upregulation in specific cell types, whereas negative drift-CpGs exhibit the opposite effect. We develop epigenetic drift...
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