Searching journal content for articles similar to Sekar et al. 30 (12): 1695.

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  1. ...is associated with 15q24 microdeletion syndrome, which is characterized by developmental delay, intellectual disability, and characteristic facial features. While congenital malformations are rarely reported, these include structural brain anomalies, cardiovascular malformations, congenital diaphragmatic hernia...
  2. ...Methylomic trajectories across human fetal brain development Helen Spiers 1 , Eilis Hannon 2 , Leonard C. Schalkwyk 3 , Rebecca Smith 1 , Chloe C.Y. Wong 1 , Michael C. O’Donovan 4 , Nicholas J. Bray 1...
  3. ...to perform methylation analysis, RNA-seq, and other assays on the samples.Improved sensitivity and high concordance in structural variation inference with ONT and PacBio long readsUsing these data (Fig. 1B,C; Supplemental Fig. 1), we then used an ensemble of methods to infer all types of SVs at least 50 bp...
  4. ...An integrative TAD catalog in lymphoblastoid cell lines discloses the functional impact of deletions and insertions in human s Chong Li1,2, Marc Jan Bonder3,4, Sabriya Syed5, Matthew Jensen6,7, Human Genome Structural Variation Consortium (HGSVC), HGSVC Functional Analysis Working Group, Mark B...
  5. ...modifications in fetal brain and extra-embryonic membranes in the gray, short-tailed opossum (Monodelphis domestica). Themajority of X-linked genes (152 of 176 genes with trackable SNP variants) exhibited paternally imprinted expression, with nearly 100% of transcripts derived from the maternal allele; whereas...
  6. ...disease susceptibility. This approach goes beyond characterizing gene regulatory variation in static, postmortem tissue and opens new avenues for studying GxE interactions in a controlled, in vitro setting.ResultsWe differentiated brain organoids from the induced pluripotent stem cells (iPSCs) of 21...
  7. ...FF and PREFACE exclude windows located on Chromosomes 13, 18, and 21 from the model, as the copy number variation can also be used to estimate fetal DNA fraction (Yu et al. 2017). Because the training data set might include fetal aneuploidies, the model may wrongly predict that loci on Chromosomes 13, 18, and 21...
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  8. ...the GRCh38 or T2T-CHM13 human references (Fig. 6A; Supplemental Fig. S12).At first glance, this incredible genetic variation of TBC1D3 conflicts with the proposed critical function in brain cortical expansion. Leveraging a deep long-read Iso-Seq data set from two developmental contexts (iPSCs and fetal...
  9. ...with non-neuronal MRs showed significantly higher correlation to the eigengenes of mitochondria-related modules compared with all brain-expressed probe sets. Neuronal samples showed higher interindividual variation than non-neuronal samples We next assessed the interindividual variation of the promoter DNA...
  10. ...and modalities. Existing methods use cells as the reference unit, hindering downstream gene-based analysis and removing genuine biological variation. Here we present GIANT, an integration method designed for atlas-scale gene analysis across cell types and tissues. GIANT converts data sets into gene graphs...
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