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Biology subjects

Mullen, A. C.

Publications and source records attributed to Mullen, A. C..

11 recordsLinked to original sources

Prime Editing Models the MTARC1 A165T Variant in Human Liver Organoids, Demonstrating Reduced Steatosis, Inflammation, and Fibrosis

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent cause of chronic liver disease. MASLD is a progressive and multifactorial disease marked initially by hepatic steatosis, which can progress to steatohepatitis, fibrosis, cirrhosis, and liver cancer. Genetic factors influence the development, progression, and complications in MASLD, and genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with altered risk. Mitochondrial amidoxime reducing component 1 (MTARC1) rs2642438 (p.A165T) variant has been identified as protective, but the role of MTARC1 and the impact of this variant in hepatocytes remains poorly understood. Here, we applied prime editing to create the rs2642438 variant in human pluripotent stem cells (hPSCs) before differentiation into human liver organoids (HLOs) to investigate the effect of the variant under conditions of steatotic and fibrotic injury. Compared to HLOs formed from hPSCs containing the MTARC1 reference sequence, HLOs with the rs2642438 variant show lower levels of MTARC1 protein and triglycerides and are protected from steatotic and fibrotic injury, as predicted by the phenotype observed in patients carrying the variant. The observed decrease in triglyceride level with the variant appears to be driven more by suppression of de novo lipogenesis rather than stimulation in {beta}-oxidation in the HLO model. While resmetirom, the thyroid hormone receptor-beta (THRB) agonist approved to treat patients with metabolic dysfunction-associated steatohepatitis (MASH) was effective in reducing triglyceride levels in the setting of steatotic injury in HLOs with the reference sequence, HLOs containing the variant did not show further reduction in triglyceride levels with exposure to resmetirom, despite increased expression of THRB. Together, this study establishes an approach to model disease-related SNPs in HLOs and provides further insights into the activity of the MTARC1 variant, and suggests that profiling SNPs may be a path to identify patients more likely to respond to therapies for MASLD.

cell biology↗

UCP1 Mitigates Hepatic Steatosis and Fibrosis Independent of Cold Exposure

Non-shivering thermogenesis by brown adipose tissue (BAT) is a promising target for anti-obesity therapies, making its regulatory mechanisms of significant translational interest. While cold-induced BAT thermogenesis (CIT) is well characterized, certain high-calorie diets can also activate BAT in the absence of cold, a process known as diet-induced thermogenesis (DIT). Despite its potential relevance to modern human diets and lifestyles, the mechanisms and physiological relevance underlying DIT remain poorly understood. Here, we show that DIT reduces adiposity and protects against hepatic steatosis and fibrosis in males but not female mice. Moreover, adipose tissue-specific ablation of uncoupling protein 1 (UCP1) reveals that BAT is the primary mediator of DIT but that non-adipocyte UCP1 also contributes to body weight regulation. Transcriptome analysis suggests that DIT is triggered by intrinsic metabolic stress, distinguishing it from CIT, which is driven by sympathetic tone. Finally, BAT-specific arteriovenous metabolomics identifies glucose as the predominant circulating fuel for DIT. These findings uncover distinct molecular and metabolic features of DIT, highlighting opportunities to harness BAT activity for treating obesity and metabolic diseases without requiring cold exposure.

physiology↗

Spatial transcriptomics of healthy and fibrotic human liver at single-cell resolution

Single-cell RNA sequencing (scRNA-seq) has advanced our understanding of cell types and their heterogeneity within the human liver, but the spatial organization at single-cell resolution has not yet been described. Here we apply multiplexed error robust fluorescent in situ hybridization (MERFISH) to map the zonal distribution of hepatocytes, resolve subsets of macrophage and mesenchymal populations, and investigate the relationship between hepatocyte ploidy and gene expression within the healthy human liver. We next integrated spatial information from MERFISH with the more complete transcriptome produced by single-nucleus RNA sequencing (snRNA-seq), revealing zonally enriched receptor-ligand interactions. Finally, analysis of fibrotic liver samples identified two hepatocyte populations that are not restricted to zonal distribution and expand with injury. Together these spatial maps of the healthy and fibrotic liver provide a deeper understanding of the cellular and spatial remodeling that drives disease which, in turn, could provide new avenues for intervention and further study.

genomics↗

Precision-Cut Liver Slices as an ex vivo model to evaluate antifibrotic therapies for liver fibrosis and cirrhosis

BackgroundPrecision-Cut Liver Slices (PCLS) are an ex vivo culture model developed to study hepatic drug metabolism. One of the main benefits of this model is that it retains the structure and cellular composition of the native liver. PCLS also represents a potential model system to study liver fibrosis in a setting that more closely approximates in vivo pathology than in vitro methods. The aim of this study was to assess whether responses to antifibrotic interventions can be detected and quantified with PCLS. MethodsPCLS of 250 m thickness were prepared from four different murine fibrotic liver models: choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD), thioacetamide (TAA), diethylnitrosamine (DEN), and carbon tetrachloride (CCl4). PCLS were treated with 5 M Erlotinib for 72 hours. Histology and gene expression were then compared with in vivo murine experiments and TGF-{beta}1 activated hepatic stellate cells (HSCs). These types of PCLS characterization were also evaluated in PCLS from human cirrhotic liver. ResultsPCLS viability in culture was stable for 72 hours. Treatment of erlotinib, an EGFR inhibitor significantly inhibited the expression of profibrogenic genes Il6, Col1a1 and Timp1 in PCLS from CDAHFD-induced cirrhotic mice, and Il6, Col1a1 and Tgfb1 in PCLS from TAA-induced cirrhotic rats. Erlotinib treatment of PCLS from DEN-induced cirrhotic rats inhibited the expression of Col1a1, Timp1, Tgfb1 and Il6, which was consistent with the impact of erlotinib on Col1a1 and Tgfb1 expression in in vivo DEN-induced cirrhosis. Erlotinib treatment of PCLS from CCl4-induced cirrhosis caused reduced expression of Timp1, Col1a1 and Tgfb1, which was consistent with the effect of erlotinib in in vivo CCl4-induced cirrhosis. In addition, in HSCs at PCLS from normal mice, TGF-{beta}1 treatment upregulated Acta2 (SMA), while treatment with erlotinib inhibited the expression of Acta2. Similar expression results were observed in TGF-{beta}1 treated in vitro HSCs. Expression of MMPs and TIMPs, key regulators of fibrosis progression and regression, were also significantly altered under erlotinib treatment in PCLS. Expression changes under erlotinib treatment were also corroborated with PCLS from human cirrhosis samples. ConclusionThe responses to antifibrotic interventions can be detected and quantified with PCLS at the gene expression level. The antifibrotic effects of erlotinib are consistent between PCLS models of murine cirrhosis and those observed in vivo and in vitro. Similar effects were also reproduced in PCLS derived from patients with cirrhosis. PCLS is an excellent model to assess antifibrotic therapies that is aligned with the principles of Replacement, Reduction and Refinement (3Rs).

cell biology↗

Screening the human druggable genome identifies ABHD17B as an anti-fibrotic target in hepatic stellate cells

Hepatic stellate cells (HSCs) are activated with chronic liver injury and transdifferentiate into myofibroblasts, which produce excessive extracellular matrices that form the fibrotic scar. While the progression of fibrosis is understood to be the cause of end-stage liver disease, there are no approved therapies directed at interfering with the activity of HSC myofibroblasts. We performed a high-throughput small interfering RNA (siRNA) screen in primary human HSC myofibroblasts to identify gene products necessary for the fibrotic phenotype of HSCs. We found that depletion of ABHD17B promotes the inactivation of HSCs, characterized by reduced COL1A1 and ACTA2 expression and accumulation of lipid droplets. Mice deficient for Abhd17b are also protected from fibrosis in the setting of in vivo liver injury. While ABHD17B is a depalmitoylase, our data suggest that ABHD17B promotes fibrosis through pathways independent of depalmitoylation that include interaction with MYO1B to modulate gene expression and HSC migration. Together, our results provide an analysis of the phenotypic consequences for siRNAs targeting RNAs from >9,500 genes in primary human HSCs and identify ABHD17B as a potential therapeutic target to inhibit liver fibrosis.

cell biology↗

Conserved long noncoding RNA TILAM promotes liver fibrosis through interaction with PML in hepatic stellate cells

Background & AimsFibrosis is the common endpoint for all forms of chronic liver injury, and progression of fibrosis leads to the development of end-stage liver disease. Activation of hepatic stellate cells (HSCs) and their transdifferentiation to myofibroblasts results in the accumulation of extracellular matrix (ECM) proteins that form the fibrotic scar. Long noncoding (lnc) RNAs regulate the activity of HSCs and may provide targets for fibrotic therapies. MethodsWe identified lncRNA TILAM as expressed near COL1A1 in human HSCs and performed loss-of-function studies in human HSCs and liver organoids. Transcriptomic analyses of HSCs isolated from mice defined the murine ortholog of TILAM. We then generated Tilam-deficient GFP reporter mice and quantified fibrotic responses to carbon tetrachloride (CCl4) and choline-deficient L-amino acid defined high fat diet (CDA-HFD). Co-precipitation studies, mass spectrometry, and gene expression analyses identified protein partners of TILAM. ResultsTILAM is conserved between human and mouse HSCs and regulates expression of ECM proteins, including collagen. Tilam is selectively induced in HSCs during the development of fibrosis in vivo. In both male and female mice, loss of Tilam results in reduced fibrosis in the setting of CCl4 and CDA-HFD injury models. TILAM interacts with promyelocytic leukemia protein (PML) to stabilize PML protein levels and promote the fibrotic activity of HSCs. ConclusionTILAM is activated in HSCs and interacts with PML to drive the development of liver fibrosis. Depletion of TILAM may serve as a therapeutic approach to combat the development of end stage liver disease.

cell biology↗

Human liver organoids model progressive inflammatory and fibrotic injury in non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD) is a rapidly growing cause of morbidity with few treatment options available. Thus, accurate in vitro systems to test new therapies are indispensable. Recently, human liver organoid (HLO) NAFLD models have emerged. However, a systematic evaluation of their translational potential is currently missing. Here, we develop a structured approach to evaluate NAFLD-HLO models, testing oleic acid (OA) and palmitic acid (PA) in comparison to TGF-{beta}1 for disease induction. Through analysis of [~]100K single-cell transcriptomes of the HLO injury landscape, we find all three models induce inflammatory signatures. However, only TGF-{beta}1 promotes collagen production, fibrosis, and hepatic stellate cell (HSC) expansion. In striking contrast, OA ameliorates fibrotic signatures and reduces the HSC population. Integrating data from each model with that of NAFLD patients across disease progression further demonstrates PA and TGF-{beta}1 more robustly model inflammation and fibrosis. Our findings highlight the importance to stratify NAFLD-HLO models by clinical disease progression, provide a single-cell reference to benchmark future organoid injury models, and allow us to study evolving steatohepatitis, fibrosis, and HSC susceptibility to injury in a dynamic, multi-lineage human in vitro system.

molecular biology↗

Expanded transcriptomic analysis of human hepatic stellate cells links novel coding and noncoding products to human liver fibrosis

End stage liver disease and liver failure occur primarily as a consequence of progressive fibrosis resulting from chronic liver injury. Hepatic stellate cells (HSCs) are the primary cell type responsible for production of the extracellular matrix (ECM) that forms the fibrotic scar. While the essential role of HSCs is understood, there remain no treatments that target HSCs to inhibit the development or progression of fibrosis. We have performed analysis of the transcriptome of human HSCs to define the long noncoding (lnc) RNAs expressed in this cell type, including many not previously annotated. Through analysis of full-length RNA transcripts, we identified additional lncRNAs that were not assembled by short reads. We also discovered new isoforms of proteincoding genes that encode amino acid sequences that are not present in annotated isoforms. Analysis of non-polyadenylated RNAs did not identify additional genes encoding long noncoding RNA transcripts, but did reveal the presence of hundreds of circular (circ) RNAs, including those with potential for translation. Incorporating these transcripts and genes into analysis of a published dataset of human liver fibrosis revealed the induction of lncRNAs, novel protein isoforms, and circRNAs associated with development of disease. These results identify RNAs and amino acid sequences expressed in HSCs and associated with human liver disease that may serve as therapeutic targets to inhibit fibrosis or biomarkers to benchmark progression of disease.

molecular biology↗

Nanchangmycin regulates FYN, FAK and ERK to control the fibrotic activity of hepatic stellate cells

Chronic liver injury causes fibrosis, characterized by the formation of scar tissue resulting from excessive accumulation of extracellular matrix (ECM) proteins. Hepatic stellate cell (HSC) myofibroblasts are the primary cell type responsible for liver fibrosis, yet there are currently no therapies directed at inhibiting the activity of HSC myofibroblasts. To search for potential anti-fibrotic drugs, we performed a high-throughput compound screen in primary human HSC myofibroblasts and identified 19 small molecules that induce HSC inactivation, including the polyether ionophore nanchangmycin (NCMC). NCMC induces lipid re-accumulation while reducing collagen expression, deposition of collagen in the extracellular matrix, cell proliferation, and migration. We find that NCMC increases cytosolic Ca2+ and reduces the phosphorylated protein levels of FYN, FAK, ERK1/2, HSP27 and STAT5B. Further, depletion of each of these kinases suppress COL1A1 expression. These studies reveal a signaling network triggered by NCMC to inactivate HSC myofibroblasts and reduce expression of proteins that compose the fibrotic scar. The identification of the antifibrotic effects of NCMC and the pathways by which NCMC inhibits fibrosis provides new tools and therapeutic targets to combat the development and progression of liver fibrosis.

cell biology↗

lncRNA DIGIT and BRD3 protein form phase-separated condensates to regulate endoderm differentiation

Gene programs that control differentiation are regulated through the interplay between DNA, RNA, and protein. Cooperation among these fundamental cellular components can occur through highly structured interactions connecting domains formed by specific sequences of nucleotides, ribonucleotides, and/or amino acids and also through the assembly of biomolecular condensates. Here, we show that endoderm differentiation is regulated through the interaction of the long noncoding (lnc) RNA DIGIT and the bromodomain and extra-terminal (BET) domain family protein BRD3. BRD3 forms phase-separated condensates that contain DIGIT, occupies enhancers of endoderm transcription factors, and is required for endoderm differentiation. Purified BRD3 binds to acetylated histone H3 lysine 18 (H3K18ac) in vitro and occupies regions of the genome enriched in H3K18ac during endoderm differentiation, including the key transcription factors that regulate endoderm differentiation. DIGIT is also enriched in regions of H3K18ac, and depletion of DIGIT results in decreased recruitment of BRD3 to these regions. Our findings support a model where cooperation between DIGIT and BRD3 at regions of H3K18ac regulates the transcription factors that drive endoderm differentiation and suggest a broader role for protein-lncRNA phase-separated condensates as regulators of transcription in development.

molecular biology↗

Identification and characterization of m6A circular RNA epitranscriptomes

This study brings together the expanding fields of RNA modifications and circular (circ) RNAs. We find that cells express thousands of m6A methylated circRNAs, with cell-type specificity observed between human embryonic stem cells and HeLa cells. m6A-circRNAs were identified by RNA sequencing of total RNA following ribosome depletion and m6A immunoprecipitation. The presence of m6A-circRNAs is corroborated by the identification of complexes between circRNAs and YTHDF1 and YTHDF2, proteins that \"read\" m6A sites in mRNAs.\n\nFurthermore, m6A modifications on non-linear RNAs depend on METTL3 and METTL14, the known m6A methyltransferase \"writer\" complex components, suggesting that circRNAs are methylated by the same complexes responsible for m6A modification of linear RNAs. Despite sharing m6A readers and writers, m6A-circRNAs are frequently derived from exons not methylated in mRNAs. Nevertheless, m6A-mRNAs that are methylated on the same exons as those composing m6A-circRNAs exhibit less stability than other m6A-mRNA, and this circRNA-mRNA cross-talk is regulated by YTHDF2. Thus, our results expand the m6A regulatory code through identification of the first circRNA epitranscriptome.

bioinformatics↗