2018
DOI: 10.1016/j.ejphar.2018.02.051
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Novel Insights on Notch signaling pathways in liver fibrosis

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Cited by 56 publications
(47 citation statements)
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“…Scar-associated macrophages are enriched for regulons containing the transcription factors HES1 and EGR2 (Extended Data Fig. 5f, g), both of which have been associated with modulation of macrophage phenotype and tissue fibrosis [40][41][42][43] .…”
Section: Fibrogenic Phenotype Of Scar-associated Macrophagesmentioning
confidence: 99%
See 1 more Smart Citation
“…Scar-associated macrophages are enriched for regulons containing the transcription factors HES1 and EGR2 (Extended Data Fig. 5f, g), both of which have been associated with modulation of macrophage phenotype and tissue fibrosis [40][41][42][43] .…”
Section: Fibrogenic Phenotype Of Scar-associated Macrophagesmentioning
confidence: 99%
“…7h). Notch signalling regulates myofibroblast phenotype and tissue fibrosis43 , whilst arterial Notch ligand expression regulates monocyte-derived macrophage differentiation and macrophage function in tissue repair69 . In keeping with active Notch signalling in SAMs, we demonstrate upregulation of the transcription factor regulon HES1, a key downstream target of Notch(Fig.…”
mentioning
confidence: 99%
“…Liver fibrosis, the accumulation of excessive extracellular matrix (ECM) in the liver parenchyma, is one main predictor for most chronic liver diseases (Ni et al., 2018). Hepatic stellate cells (HSCs) have a crucial role in liver fibrosis development (Puche, Saiman, & Friedman, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…In this review, we provide a focused update on the impact of cellular metabolism on HSC activation and fibrogenesis. A detailed discussion on other signals and pathways is beyond the scope of this article and has been reviewed elsewhere ( Weiskirchen and Tacke, 2014 ; Lee et al, 2015 ; Wallace et al, 2015 ; Yang and Seki, 2015 ; El Taghdouini and van Grunsven, 2016 ; Hyun and Jung, 2016 ; Nwosu et al, 2016 ; Schumacher and Guo, 2016 ; de Oliveira da Silva et al, 2017 ; Higashi et al, 2017 ; Huang et al, 2017 ; Jiang et al, 2017 ; Kisseleva, 2017 ; Tsuchida and Friedman, 2017 ; Mortezaee, 2018 ; Ni et al, 2018 ; Wang J. N. et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%