Predictive regulatory and metabolic network models for systems analysis of Clostridioides difficile

We present predictive models for comprehensive systems analysis of Clostridioides difficile, the etiology of pseudomembranous colitis. By leveraging 151 published transcriptomes, we generated an EGRIN model that organizes 90% of C. difficile genes into a transcriptional regulatory network of 297 co-...

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Veröffentlicht in:	Cell host & microbe 2021-11, Vol.29 (11), p.1709-1723.e5
Hauptverfasser:	Arrieta-Ortiz, Mario L., Immanuel, Selva Rupa Christinal, Turkarslan, Serdar, Wu, Wei-Ju, Girinathan, Brintha P., Worley, Jay N., DiBenedetto, Nicholas, Soutourina, Olga, Peltier, Johann, Dupuy, Bruno, Bry, Lynn, Baliga, Nitin S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bacterial Proteins Bacterial Proteins - genetics Bacterial Proteins - metabolism Biochemistry, Molecular Biology Biological networks Clostridioides Clostridioides difficile Clostridioides difficile - genetics Commensals EGRIN Gene Expression Regulation, Bacterial Host-pathogen interactions In vivo adaptive response Integrated Regulatory and Metabolic Network Model Life Sciences Metabolic Networks and Pathways Metabolic Networks and Pathways - genetics Microbiology and Parasitology PRIME Systems Analysis Web Portal
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