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RegNetwork: an integrated database of transcriptional and post-transcriptional regulatory networks in human and mouse.

Liu ZP, Wu C, Miao H, Wu H - Database (Oxford) (2015)

Bottom Line: Moreover, we also inferred and incorporated potential regulatory relationships based on transcription factor binding site (TFBS) motifs into RegNetwork.As a result, RegNetwork contains a comprehensive set of experimentally observed or predicted transcriptional and post-transcriptional regulatory relationships, and the database framework is flexibly designed for potential extensions to include gene regulatory networks for other organisms in the future.In summary, RegNetwork provides an integrated resource on the prior information for gene regulatory relationships, and it enables us to further investigate context-specific transcriptional and post-transcriptional regulatory interactions based on domain-specific experimental data.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China and.

No MeSH data available.


The basic regulatory circuit involving TF, miRNA and target gene (A) and the schematic illustration of the mechanisms of transcriptional and post-transcriptional regulation of gene expression (B). In total, five types of regulatory relationships are considered among TF, miRNA and target gene.
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bav095-F1: The basic regulatory circuit involving TF, miRNA and target gene (A) and the schematic illustration of the mechanisms of transcriptional and post-transcriptional regulation of gene expression (B). In total, five types of regulatory relationships are considered among TF, miRNA and target gene.

Mentions: Both transcriptional and post-transcriptional regulatory relationships are important, we thus consider both TFs and miRNAs as regulators. Figure 1 shows a basic regulatory circuit involving TF, miRNA and target gene, as well as the essential steps of transcriptional and post- transcriptional regulation of gene expression. Note that the miRNA component is usually missing in most of the previous studies on reverse engineering of gene regulatory networks. However, given its important role in the post-transcriptional regulatory process (18), we believe that it is necessary to include miRNAs in RegNetwork.Figure 1.


RegNetwork: an integrated database of transcriptional and post-transcriptional regulatory networks in human and mouse.

Liu ZP, Wu C, Miao H, Wu H - Database (Oxford) (2015)

The basic regulatory circuit involving TF, miRNA and target gene (A) and the schematic illustration of the mechanisms of transcriptional and post-transcriptional regulation of gene expression (B). In total, five types of regulatory relationships are considered among TF, miRNA and target gene.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4589691&req=5

bav095-F1: The basic regulatory circuit involving TF, miRNA and target gene (A) and the schematic illustration of the mechanisms of transcriptional and post-transcriptional regulation of gene expression (B). In total, five types of regulatory relationships are considered among TF, miRNA and target gene.
Mentions: Both transcriptional and post-transcriptional regulatory relationships are important, we thus consider both TFs and miRNAs as regulators. Figure 1 shows a basic regulatory circuit involving TF, miRNA and target gene, as well as the essential steps of transcriptional and post- transcriptional regulation of gene expression. Note that the miRNA component is usually missing in most of the previous studies on reverse engineering of gene regulatory networks. However, given its important role in the post-transcriptional regulatory process (18), we believe that it is necessary to include miRNAs in RegNetwork.Figure 1.

Bottom Line: Moreover, we also inferred and incorporated potential regulatory relationships based on transcription factor binding site (TFBS) motifs into RegNetwork.As a result, RegNetwork contains a comprehensive set of experimentally observed or predicted transcriptional and post-transcriptional regulatory relationships, and the database framework is flexibly designed for potential extensions to include gene regulatory networks for other organisms in the future.In summary, RegNetwork provides an integrated resource on the prior information for gene regulatory relationships, and it enables us to further investigate context-specific transcriptional and post-transcriptional regulatory interactions based on domain-specific experimental data.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China and.

No MeSH data available.