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  1. ...of the species is estimated by evaluating the resulting (appropriately normalized) read coverages. Eventually, strain-level profiling can be performed by solving the path abundance optimization problem in each species-specific graph using linear programming (see Methods for definitions). Upon having estimated...
  2. ...regions (DARs) 163 distinguishing the three sorted populations both within and between timepoints (Fig. 2A,B, 164 Supplemental Tables 2,3). Chromatin accessibility profiles were consistent with the predicted 165 cell identities being enriched in each sorted cell population. For example, the embryonic 166...
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  3. ...1 Title 1 Single-nucleus multiomic profiling of the aging mouse substantia nigra reveals 2 conserved gene alterations linked to Parkinson’s disease 3 Running title: Substantia nigra aging linked to Parkinson 4 Kangli Wang1, Weikun Xia1, Yingli Gu1, Songpeng Zu1, Qian Yang2, Maria Luisa Amaral1...
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  4. ...to omics profiles (Gage et al. 2020; Khaipho-Burch et al. 2023). The use of this unique genetic resource for powerful AI-based structure prediction offers a valuable opportunity to investigate the genetic mechanisms underlying phenotypic diversity.In this study, we predicted protein 3D structures for 26...
  5. ...for Biotechnology, Huntsville, Alabama 35806, USA; 6Department of Medicine, Division of Endocrinology & Metabolism, University of California San Diego, La Jolla, California 92093, USA Corresponding author: agoren@ucsd.eduAbstractChromatin immunoprecipitation followed by sequencing (ChIP-seq) is widely used to study...
  6. ...these comarked genes were predominantly enriched in transport and secondary metabolism (Fig. 6E). To assess whether Ash1 influences H3K27me3 deposition, we analyzed H3K27me3 ChIP-seq profiles in Δash1. Loss of ASH1 led to increased H3K27me3 occupancy at 63 genes, with 17 having reduced transcript levels (Fig. 6F...
  7. ...and laboratories, impeding metabolic profiling (Saigusa et al. 2021) and downstream analyses, like ours. The MR analysis results demonstrate that many metabolites have causal effects on clinically relevant, complex traits, although, in line with transcriptome-wide MR analyses (Porcu et al. 2019), these effects...
  8. ..., interacting physiological systems. An increasing number of studies indicate that, beyond the traditionally emphasized hypothalamic–pituitary–gonadal (HPG) axis, metabolic and immune tissues are integral components of the regulatory network controlling laying performance. For instance, the liver sustains high...
  9. ...lower correlation values compared to those from the symmetric category (Fig. 4A). Furthermore, because most duplications were located in terminal branches and represent more recent duplication events, their gene expression profiles were evaluated separately (Supplemental Fig. S7). In both cases...
  10. ...Evolution of -wide methylation profiling technologies Carolina Montano1,2 and Winston Timp1 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA; 2Division of Human Genetics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia...
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