Searching journal content for articles similar to Kimmel et al. 29 (12): 2088.

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  1. OPEN ACCESS ARTICLE
  2. ...methods where appropriate (Platt 1999). We performed quality-control filtering and preprocessing on each data set before training (Supplemental Methods).For the Rat Aging Cell Atlas (Ma et al. 2020) benchmark, we trained scNym models on single-cell RNA-seq from young, ad libitum fed rats (5 mo old...
  3. ...that is established in early development and maintained through successive cycles of cell division to preserve cell identity (Bird 2002). DNA methylation patterns, however, are known to change with age (Maegawa et al. 2010; Rakyan et al. 2010; Heyn et al. 2012; Horvath 2013). DNA methylation levels of specific Cp...
  4. ...why the transcriptome shows signs of aging in some cell types but not others. Through analysis of mouse single-cell transcriptome data across diverse tissues and ages, we find that cellular age explains a large proportion of the variation in the age-related increase in transcriptome variance. We...
  5. ..., including a pronounced activation of LTR retroelements shortly after ZGA, when early cell fate decisions are made.Single-cell RNA-seq resolves somatic TE expression during early embryogenesisOur analysis of whole-embryo RNA-seq data suggests that many zebrafish TE families display stage-specific expression...
  6. ...reveals cell-identity- and tissue-specific trajectories of aging. Genome Res 29: 2088–2103. doi:10.1101/gr.253880.119 ↵Kovaka S, Zimin AV, Pertea GM, Razaghi R, Salzberg SL, Pertea M. 2019. Transcriptome assembly from long-read RNA-seq alignments with StringTie2. Genome Biol 20: 278. doi:10.1186/s13059...
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