2020
DOI: 10.1101/2020.03.14.20024141
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Development and validation of a transcriptional signature for the assessment of fibrosis in organs

Abstract: Background: Fibrosis in most organs has proven to be an critical factor related to high risk of morbidity and mortality, but an adequate assessment of fibrosis severity is still challenging. This study tried to evaluate fibrosis severity through a fibrosis transcriptional signature. Methods: A fibrosis transcriptional signature was developed through an integrated analysis of multiple expression profiling datasets of human organs with fibrosis-related diseases. A fibrosis severity score for each sample was the … Show more

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Cited by 4 publications
(3 citation statements)
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“…In addition, CML 2 was previously treated and therefore likewise excluded from further analyses (Supplementary Figure S3C). We could observe significant Frontiers in Pharmacology frontiersin.org changes in a defined fibrotic gene signature set, which was previously derived from the analysis of expression profiling datasets of human organs with fibrosis-related diseases (Wang et al, 2020) (Figure 4A). Furthermore, an altered expression profile was also observed in a defined gene set for hematopoiesis support (Figure 4B).…”
Section: Mscs Are Driven Towards a Fibrotic And Potentially Lsc-suppo...mentioning
confidence: 87%
“…In addition, CML 2 was previously treated and therefore likewise excluded from further analyses (Supplementary Figure S3C). We could observe significant Frontiers in Pharmacology frontiersin.org changes in a defined fibrotic gene signature set, which was previously derived from the analysis of expression profiling datasets of human organs with fibrosis-related diseases (Wang et al, 2020) (Figure 4A). Furthermore, an altered expression profile was also observed in a defined gene set for hematopoiesis support (Figure 4B).…”
Section: Mscs Are Driven Towards a Fibrotic And Potentially Lsc-suppo...mentioning
confidence: 87%
“…Gene sets were acquired from Molecular Signatures Database (MSigDB) ( 36 ) (Hallmarks Inflammation Gene Set, GO_Osteoclast_differentiation), Aran et al ( 59 ) (M1/M2 signatures), and Wang et al ( 60 ) (fibrosis signature). For each gene, we translated the human gene set to mouse orthologs using the gorth function from the gprofiler2 package in R. For M1 and M2 analyses, only genes unique to one of the lists were used.…”
Section: Methodsmentioning
confidence: 99%
“…Gene sets were acquired from MSigDB ( 29 ) (Hallmarks Inflammation Gene Set, GO_Osteoclast_differentiation), Aran et al 2017 ( 64 ) (M1/M2 signatures), and Wang et al( 65 ) (Fibrosis signature). For each gene, we translated the human gene set to mouse orthologs using the gorth function from the gprofiler2 package in R. For M1 and M2 analyses, only genes unique to one of the lists was used.…”
Section: Methodsmentioning
confidence: 99%