Searching journal content for articles similar to Kurochkin et al. 13 (6b): 1560.

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  1. ...-characterized genes while overlooking the poorly characterized ones. In addition, the protein features affected by alternative splicing are currently mostly analyzedmanually in a time-consuming process. The second challenge relies on the identification of processes impacted by coregulated exons. Indeed...
  2. ...-220 10 protein interaction network analysis confirmed a direct functional relationship 221 between ACOT8 and PEX13 (Supplementary Fig. S4A), supporting coordinated regulation of 222 peroxisomal function and lipid metabolism during megakaryopoiesis (Hunt et al. 2012; Lee et al. 223 2018; Plessner et al...
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  3. ...Comprehensive identification and analysis of human accelerated regulatory DNA Rachel M. Gittelman 1 , Enna Hun 2 , Ferhat Ay 1 , Jennifer Madeoy 1 , Len Pennacchio 3 , William S. Noble 1 , R. David Hawkins 1 , 2...
  4. ...to predict the pathological functions of disease genes. Neurodegenerative diseases are often associated with protein misfolding (Forman et al. 2004; Frost and Diamond 2012; Valastyan and Lindquist 2014). Cytoplasmic inclusions containing tau, transactive response DNA-binding protein (TARDBP), superoxide...
  5. ...of tissue (Reich and Liu 2006). Changes in protein location are also associated with a host of genetic disorders. For instance, in Zellweger syndrome,mislocation of peroxisomal proteins leads to dysfunctional fatty acid oxidation (Dodt et al. 1995). In model organisms, the location of proteins can...
  6. ...function and prognostic value. Notably, LTR7-PLAAT4, present in 29% of tumors, encodes a protein variant transcriptionally regulated by FOXM1 binding to the LTR7 promoter. LTR7-PLAAT4 isoform 2 is associated with increased cholesterol ester accumulation and lipid droplet formation mediated through BSCL2...
  7. ...of DNA repair genes. Proc Natl Acad Sci 116: 19593–19599. doi:10.1073/pnas.1906559116 ↵Chen J, Aronow BJ, Jegga AG. 2009. Disease candidate gene identification and prioritization using protein interaction networks. BMC Bioinformatics 10: 73. doi:10.1186/1471-2105-10-73 ↵Clark NL, Alani E, Aquadro CF...
  8. ...140 323 10 10–12 Novel protein (FLJ16611) E ENSG00000066248 ENSP00000264051 NGEF 215 11 4–11 Ephexin-1 E ENSG00000155846 ENSP00000312649 PPARGC1B 433 11 11–14 Peroxisome proliferator-activated receptor g G ENSG00000120093 ENSP00000308252 HOXB3 153 11 7–16 Homeobox protein HOXB3 G ENSG00000153266 ENSP...
  9. ...genes, five showed orthology to genes in N2, Caenorhabditis nigoni, or Caenorhabditis remanei. From the 183-gene set, 77 genes encoded a variety of proteins including a G protein-coupled receptor, an MFP2 motility protein, an MPV17 peroxisomal protein, a serine–threonine protein kinase, and a SIR2...
  10. ...developed a fully automated workflow from cell array production to phenotype analysis. As a case study we chose to phenotype cells by identification of the subcellular localization of marker proteins that can be used as indicators for the cellular state. We achieved a very high overall accuracy of more than...
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