2005
DOI: 10.1073/pnas.0407672102
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Identification of coexpressed gene clusters in a comparative analysis of transcriptome and proteome in mouse tissues

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Cited by 77 publications
(61 citation statements)
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References 62 publications
(59 reference statements)
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“…Our results help establish consensus and strain-specific patterns of gene expression associated with NAFLD, obesity and diabetes, and identify gene targets for validation studies at the proteome level [37]. With the emergence of transcriptomic data sets derived from NAFLD-susceptible strains [10,13,23], our results contribute to enrichment of the model proposed for disease pathogenesis [5] with novel insights into mechanisms regulating gene expression and novel diet-reactive molecular components, including predicted or poorly annotated genes.…”
Section: Discussionmentioning
confidence: 79%
“…Our results help establish consensus and strain-specific patterns of gene expression associated with NAFLD, obesity and diabetes, and identify gene targets for validation studies at the proteome level [37]. With the emergence of transcriptomic data sets derived from NAFLD-susceptible strains [10,13,23], our results contribute to enrichment of the model proposed for disease pathogenesis [5] with novel insights into mechanisms regulating gene expression and novel diet-reactive molecular components, including predicted or poorly annotated genes.…”
Section: Discussionmentioning
confidence: 79%
“…The highly expressed domains (called ridges) are gene dense, GC rich, and SINE repeat rich, and the genes have short introns, whereas the weakly expressed domains (called anti-ridges) show the opposite characteristics (Lercher et al 2003;Versteeg et al 2003). Ridges were also described in the mouse genome (Mijalski et al 2005) and were found to be relatively conserved compared to the human genome .…”
mentioning
confidence: 99%
“…Gene expression arrays can determine the simultaneous profiling of thousands of transcripts. Because transcript expression correlates with protein expression in murine tissues (25)(26)(27), the transcriptome results may be used as a general indicator of protein levels. Using these approaches, we describe the relationship between network neural activity and genome-wide expression profile, and hence the temporal sequence of events that underlie synaptogenesis.…”
mentioning
confidence: 99%