FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2313121243> ?p ?o ?g. }

• W2313121243 endingPage "86" @default.
• W2313121243 startingPage "77" @default.
• W2313121243 abstract "Microarray data have been a valuable resource for identifying transcriptional regulatory relationships among genes. As an example, brain region-specific transcriptional regulatory events have the potential of providing etiological insights into Alzheimer Disease (AD). However, there is often a paucity of suitable brain-region specific expression data obtained via microarrays or other high throughput means. The Allen Brain Atlas in situ hybridization (ISH) data sets (Jones et al., 2009) represent a potentially valuable alternative source of high-throughput brain region-specific gene expression data for such purposes. In this study, Allen Brain Atlas mouse ISH data in the hippocampal fields were extracted, focusing on 508 genes relevant to neurodegeneration. Transcriptional regulatory networks were learned using three high-performing network inference algorithms. Only 17% of regulatory edges from a network reverse-engineered based on brain region-specific ISH data were also found in a network constructed upon gene expression correlations in mouse whole brain microarrays, thus showing the specificity of gene expression within brain sub-regions. Furthermore, the ISH data-based networks were used to identify instructive transcriptional regulatory relationships. Ncor2, Sp3 and Usf2 form a unique three-party regulatory motif, potentially affecting memory formation pathways. Nfe2l1, Egr1 and Usf2 emerge among regulators of genes involved in AD (e.g. Dhcr24, Aplp2, Tia1, Pdrx1, Vdac1, and Syn2). Further, Nfe2l1, Egr1 and Usf2 are sensitive to dietary factors and could be among links between dietary influences and genes in the AD etiology. Thus, this approach of harnessing brain region-specific ISH data represents a rare opportunity for gleaning unique etiological insights for diseases such as AD." @default.
• W2313121243 created "2016-06-24" @default.
• W2313121243 creator A5020172912 @default.
• W2313121243 creator A5042537115 @default.
• W2313121243 date "2016-07-01" @default.
• W2313121243 modified "2023-10-16" @default.
• W2313121243 title "Brain in situ hybridization maps as a source for reverse-engineering transcriptional regulatory networks: Alzheimer's disease insights" @default.
• W2313121243 cites W1516034495 @default.
• W2313121243 cites W1528771930 @default.
• W2313121243 cites W1537642251 @default.
• W2313121243 cites W1569915165 @default.
• W2313121243 cites W1584701209 @default.
• W2313121243 cites W1597763516 @default.
• W2313121243 cites W1601030123 @default.
• W2313121243 cites W1603207400 @default.
• W2313121243 cites W1841850981 @default.
• W2313121243 cites W1964012976 @default.
• W2313121243 cites W1968953073 @default.
• W2313121243 cites W1969939865 @default.
• W2313121243 cites W1970693538 @default.
• W2313121243 cites W1974944535 @default.
• W2313121243 cites W1976507388 @default.
• W2313121243 cites W1976510697 @default.
• W2313121243 cites W1978283989 @default.
• W2313121243 cites W1979477650 @default.
• W2313121243 cites W1984214648 @default.
• W2313121243 cites W1986688807 @default.
• W2313121243 cites W1991979438 @default.
• W2313121243 cites W1992077705 @default.
• W2313121243 cites W1992901862 @default.
• W2313121243 cites W1995031758 @default.
• W2313121243 cites W1999652939 @default.
• W2313121243 cites W2002098580 @default.
• W2313121243 cites W2006007524 @default.
• W2313121243 cites W2006896953 @default.
• W2313121243 cites W2010678275 @default.
• W2313121243 cites W2010974841 @default.
• W2313121243 cites W2011753715 @default.
• W2313121243 cites W2014886338 @default.
• W2313121243 cites W2029239227 @default.
• W2313121243 cites W2029920356 @default.
• W2313121243 cites W2031951935 @default.
• W2313121243 cites W2036588050 @default.
• W2313121243 cites W2040193459 @default.
• W2313121243 cites W2040757730 @default.
• W2313121243 cites W2041221704 @default.
• W2313121243 cites W2044525257 @default.
• W2313121243 cites W2044591093 @default.
• W2313121243 cites W2047749014 @default.
• W2313121243 cites W2050970964 @default.
• W2313121243 cites W2056099059 @default.
• W2313121243 cites W2057414956 @default.
• W2313121243 cites W2061430046 @default.
• W2313121243 cites W2063297374 @default.
• W2313121243 cites W2066290187 @default.
• W2313121243 cites W2066461267 @default.
• W2313121243 cites W2068543142 @default.
• W2313121243 cites W2069905355 @default.
• W2313121243 cites W2076513103 @default.
• W2313121243 cites W2077364398 @default.
• W2313121243 cites W2081173735 @default.
• W2313121243 cites W2082454497 @default.
• W2313121243 cites W2086928533 @default.
• W2313121243 cites W2087413420 @default.
• W2313121243 cites W2088780441 @default.
• W2313121243 cites W2093139150 @default.
• W2313121243 cites W2095327292 @default.
• W2313121243 cites W2099571503 @default.
• W2313121243 cites W2102711224 @default.
• W2313121243 cites W2103017472 @default.
• W2313121243 cites W2105129830 @default.
• W2313121243 cites W2106749977 @default.
• W2313121243 cites W2122832642 @default.
• W2313121243 cites W2124001239 @default.
• W2313121243 cites W2125040444 @default.
• W2313121243 cites W2131515455 @default.
• W2313121243 cites W2131760568 @default.
• W2313121243 cites W2132226748 @default.
• W2313121243 cites W2144956444 @default.
• W2313121243 cites W2149944282 @default.
• W2313121243 cites W2152941516 @default.
• W2313121243 cites W2155210372 @default.
• W2313121243 cites W2158381042 @default.
• W2313121243 cites W2159675211 @default.
• W2313121243 cites W2161065250 @default.
• W2313121243 cites W2169505821 @default.
• W2313121243 cites W4236548161 @default.
• W2313121243 cites W598738849 @default.
• W2313121243 doi "https://doi.org/10.1016/j.gene.2016.03.045" @default.
• W2313121243 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27050105" @default.
• W2313121243 hasPublicationYear "2016" @default.
• W2313121243 type Work @default.
• W2313121243 sameAs 2313121243 @default.
• W2313121243 citedByCount "16" @default.
• W2313121243 countsByYear W23131212432016 @default.
• W2313121243 countsByYear W23131212432017 @default.
• W2313121243 countsByYear W23131212432018 @default.
• W2313121243 countsByYear W23131212432019 @default.

• next