Understanding Tissue-Specific Gene Regulation

Although all human tissues carry out common processes, tissues are distinguished by gene expression patterns, implying that distinct regulatory programs control tissue specificity. In this study, we investigate gene expression and regulation across 38 tissues profiled in the Genotype-Tissue Expressi...

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Bibliographic Details
Published in:	Cell reports (Cambridge) Vol. 21; no. 4; pp. 1077 - 1088
Main Authors:	Sonawane, Abhijeet Rajendra, Platig, John, Fagny, Maud, Chen, Cho-Yi, Paulson, Joseph Nathaniel, Lopes-Ramos, Camila Miranda, DeMeo, Dawn Lisa, Quackenbush, John, Glass, Kimberly, Kuijjer, Marieke Lydia
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 24-10-2017 Elsevier
Subjects:	gene expression gene regulation Gene Regulatory Networks Genome, Human GTEx Humans Life Sciences network biology network medicine Organ Specificity Protein Interaction Maps Quantitative Methods regulatory networks tissue specificity transcription factors Transcription Factors - genetics Transcription Factors - metabolism Transcriptional Activation transcriptional regulation Transcriptome GTEx gene regulation transcription factors transcriptome transcriptional regulation tissue specificity network medicine regulatory networks network biology gene expression
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Summary:	Although all human tissues carry out common processes, tissues are distinguished by gene expression patterns, implying that distinct regulatory programs control tissue specificity. In this study, we investigate gene expression and regulation across 38 tissues profiled in the Genotype-Tissue Expression project. We find that network edges (transcription factor to target gene connections) have higher tissue specificity than network nodes (genes) and that regulating nodes (transcription factors) are less likely to be expressed in a tissue-specific manner as compared to their targets (genes). Gene set enrichment analysis of network targeting also indicates that the regulation of tissue-specific function is largely independent of transcription factor expression. In addition, tissue-specific genes are not highly targeted in their corresponding tissue network. However, they do assume bottleneck positions due to variability in transcription factor targeting and the influence of non-canonical regulatory interactions. These results suggest that tissue specificity is driven by context-dependent regulatory paths, providing transcriptional control of tissue-specific processes. [Display omitted] •Regulatory network connections are more tissue specific than nodes (genes and transcription factors)•Tissue-specific function is not solely regulated by transcription factor expression•Tissue-specific genes assume bottleneck positions in their corresponding networks•Tissue specificity is driven by context-dependent, non-canonical regulatory paths Understanding gene regulation is important for many fields in biology and medicine. Sonawane et al. reconstruct and investigate regulatory networks for 38 human tissues. They find that regulation of tissue-specific function is largely independent of transcription factor expression and that tissue specificity appears to be mediated by tissue-specific regulatory network paths.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Lead Contact These authors contributed equally
ISSN:	2211-1247 2211-1247
DOI:	10.1016/j.celrep.2017.10.001