Searching journal content for articles similar to Keller et al. 18 (5): 706.

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  1. ...and AI Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: ajbattle@jhu.eduAbstractGene coexpression networks (GCNs) describe relationships among genes that maintain cellular identity and homeostasis. However, typical RNA-seq experiments often lack sufficient sample...
  2. ...capture additional, complementary information with respect to gene functional similarity. Furthermore, because ubiquitously expressed genes can give rise to different disease-susceptibility and phenotypes in different tissues (Hekselman and Yeger-Lotem 2020), using tissue-specific network models as input...
  3. ...been well documented, their epigenetic14 diversity has not. Epigenetic modifications, such as histone modifications and DNA methylation,15 are important regulators of gene expression, and as such are a critical mechanistic link between16 genotype and phenotype. Therefore, creating a map of epigenetic...
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  4. ...specificity was prominent, with a major impact of estradiol on adipose tissue gene regulation and of testosterone on the liver transcriptome. The networks affected by the three sex-biasing factors include development, immunity and metabolism, and tissue-specific regulators were identified for these networks...
  5. ...to be coregulated by the QTL hotspot at chromosome 3 (Fig. 3F). Using the congenic rats, we confirmed 768 (85%) of the trans-linked H3K4me3 marks, and interestingly, higher histone modification levels were always associated with the BN allele, indicating a common regulation of these marks. Genes corresponding...
  6. ..., beyond those genes represented in the siRNA hit list. This is achieved by integrating known pathway relationships and experimentally determined protein–protein interactions to link true positive siRNA hits to networks of genes related to insulin signaling. Our analysis results in the identification...
  7. ...it is that a particular gene is linked to a phenotype given that the phenotype is unlinked to any position in the . We need this test because genes within a large molecular network differ markedly in their topological neighborhoods; the highly connected genes tend to be spuriously implicated in linkage to a phenotype...
  8. ...correlated. In both tissues the gene set correlated to preop BMI at FDR <5% was enriched for genes present in the macrophage enriched metabolic network (MEMN; E = 7.59 3 10#2;32), which has been linked to obesity previously (Chen et al. 2008; Emilsson et al. 2008). TIMP4 is a metallopeptidase inhibitor...
  9. ...the transcriptional dynamics in discrete neuronal populations using laser capture microdissection coupled with RNA sequencing (LCM-seq). Using gene correlation network analysis, we reveal a TRP53-mediated stress response that is intrinsic to all somatic motor neurons independent of their vulnerability, but absent...
  10. ...as Islet 1), peripherin (Prph), and neurofilament, heavy polypeptide (Nefh). CN12 and spinal MNs also expressed Isl2 and Mnx1, whereas those markers were nearly absent in CN3/4 and visceral CN10 MNs (Supplemental Fig. S2C). Principal component analysis (PCA) including all expressed genes showed...
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