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Gan, K. A.

Publications and source records attributed to Gan, K. A..

2 recordsLinked to original sources

Comprehensive mapping of the human cytokine gene regulatory network

Proper cytokine gene expression is essential in development, homeostasis, and immune responses. Studies on the transcriptional control of cytokine genes have mostly focused on highly researched transcription factors (TFs) and cytokines, resulting in an incomplete portrait of cytokine gene regulation. Here, we use enhanced yeast one-hybrid (eY1H) assays to derive a comprehensive network comprising 1,380 interactions between 265 TFs and 108 cytokine gene promoters, greatly expanding the known repertoire of TF-cytokine gene interactions. We found an enrichment of nuclear receptors and confirmed their role in cytokine regulation in primary macrophages. Additionally, we used the eY1H-derived network as a framework to identify pairs of TFs that synergistically modulate cytokine gene expression, and to identify novel TF-cytokine regulatory axes in immune diseases and immune cell lineage development. Overall, the eY1H data provides a rich resource to study cytokine regulation in a variety of physiological and disease contexts.

immunology↗

Global landscape of mouse and human cytokine transcriptional regulation

Cytokines play a central role in immune development, pathogen responses, and diseases. Cytokines are highly regulated at the transcriptional level by combinations of transcription factors (TFs) that recruit cofactors and the transcriptional machinery. Here, we review three decades of studies to generate a comprehensive database reporting 843 and 647 interactions between TFs and cytokines genes, in human and mouse respectively (http://cytreg.bu.edu). We provide a historic perspective on cytokine regulation discussing research trends and biases. More importantly, by integrating this comprehensive database with other functional datasets, we determine general principles governing the transcriptional regulation of cytokine genes. In particular, we show a correlation between TF connectivity and immune phenotype and disease, we discuss the balance between tissue-specific and pathogen-activated TFs regulating each cytokine gene, and cooperativity and plasticity in cytokine regulation. Finally, we illustrate the use of our database as a blueprint to study TF-cytokine regulatory axes in autoimmune diseases.

immunology↗