Beilstein J. Org. Chem.2021,17, 1712–1724, doi:10.3762/bjoc.17.119
pathways is largely unknown. In this work, we performed data mining of TF–glycogene relationships from the Cistrome Cancer database (DB), which integrates chromatin immunoprecipitation sequencing (ChIP-Seq) and RNA-Seq data to constitute regulatory relationships. In total, we observed 22,654 potentially
relationships, the starting point for experimental system-wide validation.
Keywords: ChIP-Seq; glycoinformatics; glycosylation; TCGA transcription factor; Introduction
The glycan signatures of cells and tissue are controlled by the expression pattern of 300–350 glycosylating-related genes that are together
[12], and by the manual curation of various human glycogenes into pathways at GlycoEnzDB (https://virtualglycome.org/GlycoEnzDB, Figure 1B). Here, the Cistrome Cancer DB uses TF–gene binding data from previously published chromatin immunoprecipitation sequencing (ChIP-Seq) studies for various cell
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Graphical Abstract
Figure 1:
A systems glycobiology framework to link multi-OMICs data. a) Cell signaling proceeds to trigger TF...