2020
DOI: 10.1039/c9mo00130a
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Regulatory network analysis of Paneth cell and goblet cell enriched gut organoids using transcriptomics approaches

Abstract: We demonstrate the application of network biology techniques to increase understanding of intestinal dysbiosis through studying transcriptomics data from Paneth and goblet cell enriched enteroids.

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Cited by 31 publications
(20 citation statements)
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References 121 publications
(136 reference statements)
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“…The microbiome directed immune response and the stable localization over time is unlikely to be explained by a mere T-cell overresponse and, therefore, unlikely to represent an autoimmune disease (107). Future studies on the regulatory network of Paneth cells, maybe like those reported recently, using transcriptomics approaches may delineate additional complexity in these already remarkably versatile cells (114). Finally, and this is what counts for the patients: if the chance to substitute for mucosal defensins by systemic or oral administration, as mentioned above, really works out, this originally unlikely hypothesis may lead to a promising new therapy both in Crohn's disease (115,116) as well as in intestinal graft vs. host disease (117)…”
Section: Resultsmentioning
confidence: 82%
“…The microbiome directed immune response and the stable localization over time is unlikely to be explained by a mere T-cell overresponse and, therefore, unlikely to represent an autoimmune disease (107). Future studies on the regulatory network of Paneth cells, maybe like those reported recently, using transcriptomics approaches may delineate additional complexity in these already remarkably versatile cells (114). Finally, and this is what counts for the patients: if the chance to substitute for mucosal defensins by systemic or oral administration, as mentioned above, really works out, this originally unlikely hypothesis may lead to a promising new therapy both in Crohn's disease (115,116) as well as in intestinal graft vs. host disease (117)…”
Section: Resultsmentioning
confidence: 82%
“…To identify ace2-expressing cells at single-cell resolution, we explored marker genes mouse and other organisms express in intestinal stem cells (mki67, pcna, bmib, Aghaallaei et al, 2016;Yu et al, 2018) absorptive enterocytes (alpi, vil1, slc34a2a, Makky et al, 2007;Wallace et al, 2005;Yang et al, 2012), peptide hormone-secreting enteroendocrine cells (gip, ccka, cckb, ghrl, gcga, gcgb, pyyb, anxa4, Crosnier et al, 2005;Sommer and Mostoslavsky, 2014;Zhang et al, 2014), and mucus-secreting goblet cells (mucin genes, agr2, Komiya et al, 1999;Lai et al, 2016;Treveil et al, 2020). Within the intestine, the zebrafish ortholog of mouse stem cell markers (e.g.…”
Section: What Is the Ace2-expressing Cell Type?mentioning
confidence: 99%
“…Nevertheless, an essential component is the mechanistic description of the targets of a given regulator, allowing computation of its footprint. With available SARS-CoV-2 related omics and interaction datasets [281], it is possible to infer which TFs and signalling pathways are affected upon infection [282]. Combining the COVID-19 Disease map regulatory interactions with curated collections of TF-target interactions like DoRothEA [283] will provide a contextualised evaluation of the effect of SARS-CoV-2 infection at the TF level.…”
Section: Footprint Based Analysismentioning
confidence: 99%