RIP-seq of DDX49 related RNAs in HHL5 cells transfected Flag-DDX49 following OA/PA treatment for 24 hours
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE299232 | GEO | 2025/06/17
REPOSITORIES: GEO
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Project description:RIP-seq of DDX49 related RNAs in HHL5 cells transfected Flag-DDX49 following OA/PA treatment for 24 hours
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Project description:Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) are characterized by excessive triglyceride accumulation in the liver. However, due to an incomplete understanding of its pathogenesis, more efforts are still needed to identify specific and effective treatments. N4-acetylcytidine (ac4C) is a newly discovered RNA modification to regulate mRNA stability post-transcriptionally. N-acetyltransferase 10 (NAT10), the sole enzyme catalyzing mRNA acetylation, has not been fully explored in human diseases, especially in MASLD and MASH. In the current study, abundant RNA acetylation was found in lipid metabolism-related genes in the livers of leptin receptor-deficient (db/db) mice. Besides, hepatic NAT10 expression is significantly increased in multiple mouse models of MASLD and MASH. NAT10 expression is also elevated in patients with MASLD and positively correlated with clinical characteristics. Genetic NAT10 knockdown protects against diet-induced hepatic steatosis and steatohepatitis in mice, while its overexpression exacerbates steatosis. Mechanistically, NAT10 could bind to Srebp-1c mRNA to promote its stability and expression, thereby upregulating lipogenic enzymes. In addition, the translational significance of our findings is that treatment of Remodelin, an NAT10 inhibitor, could improve liver steatosis and dyslipidemia in a preclinical mouse model. Together, these findings highlight the significance of ac4C modification and NAT10 in MASLD and MASH, offering a potential therapeutic target for disease treatment.
2024-09-22 | GSE275576 | GEO
Project description:Metabolic dysfunction-associated steatotic liver disease (MASLD) embraces different conditions, including metabolic dysfunction-associated steatohepatitis (MASH), fibrosis, cirrhosis and hepatocellular carcinoma (HCC). The landscape of cellular abnormalities occurring in the different stages of MASLD as well as the processes which drive MASLD evolution are not completely clarified. We used single cell RNAsequencing (scRNAseq) to unravel cellular heterogeneity affecting livers during the switching from simple steatosis towads MASH and and MASH-fibrosis.
2025-02-28 | GSE284186 | GEO
Project description:To identify the directly bound transcripts of Flag antibody (the backgroud control for our METTL16 RIP-seq), RNA immunoprecipitation sequencing (RIP-seq) was conducted HEK293T. Briefly, HEK293T cells were infected with pmiRNA1-empty vector. Only the GFP-positive cells were used for study and expanded in DMEM medium.
2021-10-28 | GSE182620 | GEO
Project description:Reliable non-invasive tools to diagnose at risk metabolic dysfunction-associated steatohepatitis (MASH) are urgently needed to improve management. We developed a risk stratification score incorporating proteomics-derived serum markers with clinical variables to identify high risk MASH patients (NAFLD Activity Score (NAS) >4 and fibrosis score >2). In this three-phase proteomic study of biopsy-proven metabolic dysfunction-associated steatotic fatty liver disease (MASLD), we first developed a multi-protein predictor for discriminating NAS>4 based on SOMAscan proteomics quantifying 1,305 serum proteins from 57 US patients. Four key predictor proteins were verified by ELISA in the expanded US cohort (N=168), and enhanced by adding clinical variables to create the 9-feature MASH Dx Score which predicted MASH and also high risk MASH (F2+). The MASH Dx Score was validated in two independent, external cohorts from Germany (N=139) and Brazil (N=177). The discovery phase identified a 6-protein classifier that achieved an AUC of 0.93 for identifying MASH. Significant elevation of four proteins (THBS2, GDF15, SELE, IGFBP7) was verified by ELISA in the expanded discovery and independently in the two external cohorts. MASH Dx Score incorporated these proteins with established MASH risk factors (age, BMI, ALT, diabetes, hypertension) to achieve good discrimination between MASH and MASLD without MASH (AUC:0.87- discovery; 0.83- pooled external validation cohorts), with similar performance when evaluating high risk MASH F2-4 (vs. MASH F0-1 and MASLD without MASH). The MASH Dx Score offers the first reliable non-invasive approach combining novel, biologically plausible ELISA-based fibrosis markers and clinical parameters to detect high risk MASH in patient cohorts from the US, Brasil and Europe.
2023-12-22 | GSE251855 | GEO
Project description:Background & Aims Obesity is a major risk factor for metabolic associated steatotic liver disease (MASLD) which can progress from metabolic associated steatotic liver (MASL) to metabolic associated steatohepatitis (MASH). There are currently no effective and validated screening tools to stratify obese patients with a greater risk for MASH, independent of liver fibrosis, at a population level. We aimed to characterise the highly abundant and small protein plasma proteomes of worsening MASLD and overlay the liver-secreted proteome to generate a predictive model to stratify patients with and without MASH. Methods Venous blood and liver wedge biopsies were taken from 160 patients undergoing bariatric surgery. MASLD severity was assessed histologically. Liver biopsies from a subset of 96 patients were precision-cut and cultured to assess liver-secreted proteins. Proteomic analysis was performed using liquid chromatography-tandem mass spectrometry on the plasma and the incubation medium cutoff the liver slices. Results Current non-invasive scores failed to stratify MASH in our cohort. The top200 plasma proteome exhibited mild changes in patients with MASH compared to those with No pathology, while the SPEA approach identified substantial differences in plasma proteins of patients with MASH compared to those without MASH. Liver-secreted proteins were remodelled in MASH compared to MASL and individuals with No pathology. There were no significant changes in the liver-secreted proteins and plasma proteome when comparing MASL to those with No pathology. The APASHA model, comprised of APOF, PCSK9, AFM, and S100A6, HbA1c % and AZGP1 stratified MASH in the discovery (AUROC: 0.887, p<0.0001) and validation cohorts (AUROC:0.7673, p=0.0002) and outcompeted other non-invasive scores. Conclusions These proteomic investigations provide a detailed description of liver-secreted and plasma proteome with worsening MASLD. MASH remodels plasma and liver-secreted proteins. Plasma proteomics generated the APASHA model validated in two Australian bariatric cohorts. Further investigation is warranted to interrogate the utility of the APASHA model as a non-invasive risk prediction model in additional cohorts. Lay Summary: Metabolic-associated steatohepatitis (MASH), a more advanced form of metabolic-associated steatotic liver disease (MASLD), alters the levels of many proteins secreted by the liver and in the blood and those. The APASHA model, which is based on proteins that change in the blood or are secreted by the liver in cases of MASH, could potentially be developed into a simple blood test to predict MASH in high-risk groups.
2025-04-14 | PXD052784 | Pride
Project description:Identify Flag-bound transcripts via RIP-seq
| PRJNA757015 | ENA
Project description:Background & Aims Obesity is a major risk factor for metabolic associated steatotic liver disease (MASLD) which can progress from metabolic associated steatotic liver (MASL) to metabolic associated steatohepatitis (MASH). There are currently no effective and validated screening tools to stratify obese patients with a greater risk for MASH, independent of liver fibrosis, at a population level. We aimed to characterise the highly abundant and small protein plasma proteomes of worsening MASLD and overlay the liver-secreted proteome to generate a predictive model to stratify patients with and without MASH. Methods Venous blood and liver wedge biopsies were taken from 160 patients undergoing bariatric surgery. MASLD severity was assessed histologically. Liver biopsies from a subset of 96 patients were precision-cut and cultured to assess liver-secreted proteins. Proteomic analysis was performed using liquid chromatography-tandem mass spectrometry on the plasma and the incubation medium cutoff the liver slices. Results Current non-invasive scores failed to stratify MASH in our cohort. The top200 plasma proteome exhibited mild changes in patients with MASH compared to those with No pathology, while the SPEA approach identified substantial differences in plasma proteins of patients with MASH compared to those without MASH. Liver-secreted proteins were remodelled in MASH compared to MASL and individuals with No pathology. There were no significant changes in the liver-secreted proteins and plasma proteome when comparing MASL to those with No pathology. The APASHA model, comprised of APOF, PCSK9, AFM, and S100A6, HbA1c % and AZGP1 stratified MASH in the discovery (AUROC: 0.887, p<0.0001) and validation cohorts (AUROC:0.7673, p=0.0002) and outcompeted other non-invasive scores. Conclusions These proteomic investigations provide a detailed description of liver-secreted and plasma proteome with worsening MASLD. MASH remodels plasma and liver-secreted proteins. Plasma proteomics generated the APASHA model validated in two Australian bariatric cohorts. Further investigation is warranted to interrogate the utility of the APASHA model as a non-invasive risk prediction model in additional cohorts.
2025-04-14 | PXD052798 | Pride
Project description:Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) are characterized by excessive triglyceride accumulation in the liver. However, due to an incomplete understanding of its pathogenesis, more efforts are still needed to identify specific and effective treatments. N4-acetylcytidine (ac4C) is a newly discovered RNA modification to regulate mRNA stability post-transcriptionally. N-acetyltransferase 10 (NAT10), the sole enzyme catalyzing mRNA acetylation, has not been fully explored in human diseases, especially in MASLD and MASH. In the current study, abundant RNA acetylation was found in lipid metabolism-related genes in the livers of leptin receptor-deficient (db/db) mice. Besides, hepatic NAT10 expression is significantly increased in multiple mouse models of MASLD and MASH. NAT10 expression is also elevated in patients with MASLD and positively correlated with clinical characteristics. Genetic NAT10 knockdown protects against diet-induced hepatic steatosis and steatohepatitis in mice, while its overexpression exacerbates steatosis. Mechanistically, NAT10 could bind to Srebp-1c mRNA to promote its stability and expression, thereby upregulating lipogenic enzymes. In addition, the translational significance of our findings is that treatment of Remodelin, an NAT10 inhibitor, could improve liver steatosis and dyslipidemia in a preclinical mouse model. Together, these findings highlight the significance of ac4C modification and NAT10 in MASLD and MASH, offering a potential therapeutic target for disease treatment.
2024-09-22 | GSE275575 | GEO