2020
DOI: 10.18632/aging.104089
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Identification and characterization of dynamically regulated hepatitis-related genes in a concanavalin A-induced liver injury model

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Cited by 2 publications
(3 citation statements)
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“…Corneal inflammation 157 Nerve Depression 158 Microglia Sleep deprivation 159 Immune cells Rheumatoid arthritis 25,37,60,121,[160][161][162][163] Synovium-Mesenchymal stromal cells and inflammatory cells Psoriasis 25,163,164 Macrophages Multiple sclerosis 150 Neurons Solid tumors 25,37,[165][166][167][168] Cancer cells, CAF, immune cells Intestinal segmented filamentous bacterial infection 25,46,61,169,170 Epithelial cells and macrophages Obesity and Insulin resistance [171][172][173] Adipocytes, epithelial cells, and macrophages Liver Injury and autoimmune hepatitis 174,175 Stromal cells and stellate cells Hepatic fibrogenesis 175…”
Section: Pathologies Type Of Cellsmentioning
confidence: 99%
“…Corneal inflammation 157 Nerve Depression 158 Microglia Sleep deprivation 159 Immune cells Rheumatoid arthritis 25,37,60,121,[160][161][162][163] Synovium-Mesenchymal stromal cells and inflammatory cells Psoriasis 25,163,164 Macrophages Multiple sclerosis 150 Neurons Solid tumors 25,37,[165][166][167][168] Cancer cells, CAF, immune cells Intestinal segmented filamentous bacterial infection 25,46,61,169,170 Epithelial cells and macrophages Obesity and Insulin resistance [171][172][173] Adipocytes, epithelial cells, and macrophages Liver Injury and autoimmune hepatitis 174,175 Stromal cells and stellate cells Hepatic fibrogenesis 175…”
Section: Pathologies Type Of Cellsmentioning
confidence: 99%
“…Trendy is an R package that fits a set of segmented (piece-wise) regression models to high-throughput, ordered expression data, allowing to identify dynamic gene expression patterns over a time course and to determine the direction and point in time when changes in expression occur [ 46 ]. It is a recently developed methodology that has been so far applied in stem cell differentiation [ 48 ] and in hepatic disease progression [ 49 ] studies. Interestingly, the latter research also integrated Trendy with WGCNA to identify high-confidence genes involved in human autoimmune hepatitis (AIH) [ 49 ].…”
Section: Introductionmentioning
confidence: 99%
“…It is a recently developed methodology that has been so far applied in stem cell differentiation [ 48 ] and in hepatic disease progression [ 49 ] studies. Interestingly, the latter research also integrated Trendy with WGCNA to identify high-confidence genes involved in human autoimmune hepatitis (AIH) [ 49 ]. Conversely, WGCNA is a widely implemented systems biology approach not only used for constructing co-expression networks based on the pairwise correlations between genes, but also for detecting significant associations between these networks’ modules and a given trait of interest, and to identify important players in these associations [ 47 ].…”
Section: Introductionmentioning
confidence: 99%