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Van Damme KFA, Hoste L, Declercq J, De Leeuw E, Maes B, Martens L, Colman R, Browaeys R, Bosteels C, Verwaerde S, Vermeulen N, Lameire S, Debeuf N, Deckers J, Stordeur P, Depuydt P, Van Braeckel E, Vandekerckhove L, Guilliams M, Schetters STT, Haerynck F, Tavernier SJ, Lambrecht BN. A complement atlas identifies interleukin-6-dependent alternative pathway dysregulation as a key druggable feature of COVID-19. Sci Transl Med 2023; 15:eadi0252. [PMID: 37611083 DOI: 10.1126/scitranslmed.adi0252] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 08/02/2023] [Indexed: 08/25/2023]
Abstract
Improvements in COVID-19 treatments, especially for the critically ill, require deeper understanding of the mechanisms driving disease pathology. The complement system is not only a crucial component of innate host defense but can also contribute to tissue injury. Although all complement pathways have been implicated in COVID-19 pathogenesis, the upstream drivers and downstream effects on tissue injury remain poorly defined. We demonstrate that complement activation is primarily mediated by the alternative pathway, and we provide a comprehensive atlas of the complement alterations around the time of respiratory deterioration. Proteomic and single-cell sequencing mapping across cell types and tissues reveals a division of labor between lung epithelial, stromal, and myeloid cells in complement production, in addition to liver-derived factors. We identify IL-6 and STAT1/3 signaling as an upstream driver of complement responses, linking complement dysregulation to approved COVID-19 therapies. Furthermore, an exploratory proteomic study indicates that inhibition of complement C5 decreases epithelial damage and markers of disease severity. Collectively, these results support complement dysregulation as a key druggable feature of COVID-19.
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Affiliation(s)
- Karel F A Van Damme
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Levi Hoste
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Primary Immune Deficiency Research Laboratory, Department of Internal Diseases and Pediatrics, Centre for Primary Immunodeficiency Ghent, Jeffrey Modell Diagnosis and Research Centre, Ghent University, Ghent, Belgium
| | - Jozefien Declercq
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Elisabeth De Leeuw
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Bastiaan Maes
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Liesbet Martens
- Laboratory of Myeloid Cell Biology in Tissue Homeostasis and Regeneration, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Laboratory of Myeloid Cell Biology in Tissue Damage and Inflammation, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Biomedical Molecular Biology, Faculty of Science, Ghent University, Belgium
| | - Roos Colman
- Biostatistics Unit, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Robin Browaeys
- Bioinformatics Expertise Unit, VIB Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Cédric Bosteels
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Respiratory Infection and Defense Lab, Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Stijn Verwaerde
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
| | - Nicky Vermeulen
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Primary Immune Deficiency Research Laboratory, Department of Internal Diseases and Pediatrics, Centre for Primary Immunodeficiency Ghent, Jeffrey Modell Diagnosis and Research Centre, Ghent University, Ghent, Belgium
| | - Sahine Lameire
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
| | - Nincy Debeuf
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
| | - Julie Deckers
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
| | - Patrick Stordeur
- Belgian National Reference Center for the Complement System, Laboratory of Immunology, LHUB-ULB, Université Libre de Bruxelles, Brussels, Belgium
| | - Pieter Depuydt
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Intensive Care Unit, Ghent University Hospital, Ghent, Belgium
| | - Eva Van Braeckel
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Respiratory Infection and Defense Lab, Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Linos Vandekerckhove
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Biomedical Molecular Biology, Faculty of Science, Ghent University, Belgium
- HIV Cure Research Center, Department of Internal Medicine and Pediatrics, Ghent University and Ghent University Hospital, 9000 Ghent, Belgium
| | - Martin Guilliams
- Laboratory of Myeloid Cell Biology in Tissue Homeostasis and Regeneration, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Laboratory of Myeloid Cell Biology in Tissue Damage and Inflammation, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Biomedical Molecular Biology, Faculty of Science, Ghent University, Belgium
| | - Sjoerd T T Schetters
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
| | - Filomeen Haerynck
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Primary Immune Deficiency Research Laboratory, Department of Internal Diseases and Pediatrics, Centre for Primary Immunodeficiency Ghent, Jeffrey Modell Diagnosis and Research Centre, Ghent University, Ghent, Belgium
| | - Simon J Tavernier
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Primary Immune Deficiency Research Laboratory, Department of Internal Diseases and Pediatrics, Centre for Primary Immunodeficiency Ghent, Jeffrey Modell Diagnosis and Research Centre, Ghent University, Ghent, Belgium
| | - Bart N Lambrecht
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Laboratory of Mucosal Immunology, VIB-UGent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Pulmonary Medicine, Erasmus MC, Rotterdam, Netherlands
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102
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Fuchs CD, Claudel T, Mlitz V, Riva A, Menz M, Brusilovskaya K, Haller F, Baumgartner M, Königshofer P, Unger LW, Sjöland W, Scharnagl H, Stojakovic T, Busslinger G, Reiberger T, Marschall HU, Trauner M. GLP-2 Improves Hepatic Inflammation and Fibrosis in Mdr2 -/- Mice Via Activation of NR4a1/Nur77 in Hepatic Stellate Cells and Intestinal FXR Signaling. Cell Mol Gastroenterol Hepatol 2023; 16:847-856. [PMID: 37572734 PMCID: PMC10522987 DOI: 10.1016/j.jcmgh.2023.08.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 08/03/2023] [Accepted: 08/03/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND & AIMS Glucagon-like peptide (GLP)-2 may exert antifibrotic effects on hepatic stellate cells (HSCs). Thus, we aimed to test whether application of the GLP-2 analogue teduglutide has hepatoprotective and antifibrotic effects in the Mdr2/Abcb4-/- mouse model of sclerosing cholangitis displaying hepatic inflammation and fibrosis. METHODS Mdr2-/- mice were injected daily for 4 weeks with teduglutide followed by gene expression profiling (bulk liver; isolated HSCs) and immunohistochemistry. Activated HSCs (LX2 cells) and immortalized human hepatocytes and human intestinal organoids were treated with GLP-2. mRNA profiling by reverse transcription polymerase chain reaction and electrophoretic mobility shift assay using cytosolic and nuclear protein extracts was performed. RESULTS Hepatic inflammation, fibrosis, and reactive cholangiocyte phenotype were improved in GLP-2-treated Mdr2-/- mice. Primary HSCs isolated from Mdr2-/- mice and LX2 cells exposed to GLP-2 in vitro displayed significantly increased mRNA expression levels of NR4a1/Nur77 (P < .05). Electrophoretic mobility shift assay revealed an increased nuclear NR4a1 binding after GLP-2 treatment in LX2 cells. Moreover, GLP-2 alleviated the Tgfβ-mediated reduction of NR4a1 nuclear binding activity. In vivo, GLP-2 treatment of Mdr2-/- mice resulted in increased intrahepatic levels of muricholic acids (accordingly Cyp2c70 mRNA expression was significantly increased), and in reduced mRNA levels of Cyp7a1 and FXR. Serum Fgf15 levels were increased in Mdr2-/- mice treated with GLP-2. Accordingly, GLP-2 treatment of human intestinal organoids activated their FXR-FGF19 signaling axis. CONCLUSIONS GLP-2 treatment increased NR4a1/Nur77 activation in HSCs, subsequently attenuating their activation. GLP-2 promoted intestinal Fxr-Fgf15/19 signaling resulting in reduced Cyp7a1 and increased Cyp2c70 expression in the liver, contributing to hepatoprotective and antifibrotic effects of GLP-2 in the Mdr2-/- mouse model.
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Affiliation(s)
- Claudia D Fuchs
- Hans Popper Laboratory of Molecular Hepatology, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Thierry Claudel
- Hans Popper Laboratory of Molecular Hepatology, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Veronika Mlitz
- Hans Popper Laboratory of Molecular Hepatology, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Alessandra Riva
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Moritz Menz
- Hans Popper Laboratory of Molecular Hepatology, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Ksenia Brusilovskaya
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Vienna Experimental Hepatic Hemodynamic Lab (HEPEX), Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver fibrosis, Medical University of Vienna, Vienna, Austria
| | - Felix Haller
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Maximilian Baumgartner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Philipp Königshofer
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Vienna Experimental Hepatic Hemodynamic Lab (HEPEX), Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver fibrosis, Medical University of Vienna, Vienna, Austria
| | - Lukas W Unger
- Division of Visceral Surgery, Department of General Surgery, Medical University of Vienna, Vienna, Austria
| | - Wilhelm Sjöland
- Department of Molecular and Clinical Medicine/Wallenberg Laboratory, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Hubert Scharnagl
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Tatjana Stojakovic
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, University Hospital Graz, Graz, Austria
| | - Georg Busslinger
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Thomas Reiberger
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Vienna Experimental Hepatic Hemodynamic Lab (HEPEX), Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Portal Hypertension and Liver fibrosis, Medical University of Vienna, Vienna, Austria
| | - Hanns-Ulrich Marschall
- Department of Molecular and Clinical Medicine/Wallenberg Laboratory, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Michael Trauner
- Hans Popper Laboratory of Molecular Hepatology, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
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103
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Kumar BS. Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) in disease diagnosis: an overview. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:3768-3784. [PMID: 37503728 DOI: 10.1039/d3ay00867c] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Tissue analysis, which is essential to histology and is considered the benchmark for the diagnosis and prognosis of many illnesses, including cancer, is significant. During surgery, the surgical margin of the tumor is assessed using the labor-intensive, challenging, and commonly subjective technique known as frozen section histopathology. In the biopsy section, large numbers of molecules can now be visualized at once (ion images) following recent developments in [MSI] mass spectrometry imaging under atmospheric conditions. This is vastly superior to and different from the single optical tissue image processing used in traditional histopathology. This review article will focus on the advancement of desorption electrospray ionization mass spectrometry imaging [DESI-MSI] technique, which is label-free and requires little to no sample preparation. Since the proportion of molecular species in normal and abnormal tissues is different, DESI-MSI can capture ion images of the distributions of lipids and metabolites on biopsy sections, which can provide rich diagnostic information. This is not a systematic review but a summary of well-known, cutting-edge and recent DESI-MSI applications in cancer research between 2018 and 2023.
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Affiliation(s)
- Bharath Sampath Kumar
- Independent Researcher, 21, B2, 27th Street, Nanganallur, Chennai 61, TamilNadu, India.
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104
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Jose A, Elwing JM, Kawut SM, Pauciulo MW, Sherman KE, Nichols WC, Fallon MB, McCormack FX. Human liver single nuclear RNA sequencing implicates BMPR2, GDF15, arginine, and estrogen in portopulmonary hypertension. Commun Biol 2023; 6:826. [PMID: 37558836 PMCID: PMC10412637 DOI: 10.1038/s42003-023-05193-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/31/2023] [Indexed: 08/11/2023] Open
Abstract
Portopulmonary hypertension (PoPH) is a type of pulmonary vascular disease due to portal hypertension that exhibits high morbidity and mortality. The mechanisms driving disease are unknown, and transcriptional characteristics unique to the PoPH liver remain unexplored. Here, we apply single nuclear RNA sequencing to compare cirrhotic livers from patients with and without PoPH. We identify characteristics unique to PoPH in cells surrounding the central hepatic vein, including increased growth differentiation factor signaling, enrichment of the arginine biosynthesis pathway, and differential expression of the bone morphogenic protein type II receptor and estrogen receptor type I genes. These results provide insight into the transcriptomic characteristics of the PoPH liver and mechanisms by which PoPH cellular dysfunction might contribute to pulmonary vascular remodeling.
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Affiliation(s)
- Arun Jose
- Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Jean M Elwing
- Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Steven M Kawut
- Department of Medicine, Perelman School at the University of Pennsylvania, Philadelphia, PA, USA
| | - Michael W Pauciulo
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kenneth E Sherman
- Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - William C Nichols
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Francis X McCormack
- Department of Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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105
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He F, Zhang P, Liu J, Wang R, Kaufman RJ, Yaden BC, Karin M. ATF4 suppresses hepatocarcinogenesis by inducing SLC7A11 (xCT) to block stress-related ferroptosis. J Hepatol 2023; 79:362-377. [PMID: 36996941 PMCID: PMC11332364 DOI: 10.1016/j.jhep.2023.03.016] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND & AIMS Hepatocellular carcinoma (HCC), a leading cause of cancer-related death, is associated with viral hepatitis, non-alcoholic steatohepatitis (NASH), and alcohol-related steatohepatitis, all of which trigger endoplasmic reticulum (ER) stress, hepatocyte death, inflammation, and compensatory proliferation. Using ER stress-prone MUP-uPA mice, we established that ER stress and hypernutrition cooperate to cause NASH and HCC, but the contribution of individual stress effectors, such as activating transcription factor 4 (ATF4), to HCC and their underlying mechanisms of action remained unknown. METHODS Hepatocyte-specific ATF4-deficient MUP-uPA mice (MUP-uPA/Atf4Δhep) and control MUP-uPA/Atf4F/F mice were fed a high-fat diet to induce NASH-related HCC, and Atf4F/F and Atf4Δhep mice were injected with diethylnitrosamine to model carcinogen-induced HCC. Histological, biochemical, and RNA-sequencing analyses were performed to identify and define the role of ATF4-induced solute carrier family 7a member 11 (SLC7A11) expression in hepatocarcinogenesis. Reconstitution of SLC7A11 in ATF4-deficient primary hepatocytes and mouse livers was used to study its effects on ferroptosis and HCC development. RESULTS Hepatocyte ATF4 ablation inhibited hepatic steatosis, but increased susceptibility to ferroptosis, resulting in accelerated HCC development. Although ATF4 activates numerous genes, ferroptosis susceptibility and hepatocarcinogenesis were reversed by ectopic expression of a single ATF4 target, Slc7a11, coding for a subunit of the cystine/glutamate antiporter xCT, which is needed for glutathione synthesis. A ferroptosis inhibitor also reduced liver damage and inflammation. ATF4 and SLC7A11 amounts were positively correlated in human HCC and livers of patients with NASH. CONCLUSIONS Despite ATF4 being upregulated in established HCC, it serves an important protective function in normal hepatocytes. By maintaining glutathione production, ATF4 inhibits ferroptosis-dependent inflammatory cell death, which is known to promote compensatory proliferation and hepatocarcinogenesis. Ferroptosis inhibitors or ATF4 activators may also blunt HCC onset. IMPACT AND IMPLICATIONS Liver cancer or hepatocellular carcinoma (HCC) is associated with multiple aetiologies. Most HCC aetiologies cause hepatocyte stress and death, as well as subsequent inflammation, and compensatory proliferation, thereby accelerating HCCdevelopment. The contribution of individual stress effectors to HCC and their underlying mechanisms of action were heretofore unknown. This study shows that the stress-responsive transcription factor ATF4 blunts liver damage and cancer development by suppressing iron-dependent cell death (ferroptosis). Although ATF4 ablation prevents hepatic steatosis, it also increases susceptibility to ferroptosis, due to decreased expression of the cystine/glutamate antiporter SLC7A11, whose expression in human HCC and NASH correlates with ATF4. These findings reinforce the notion that benign steatosis may be protective and does not increase cancer risk unless accompanied by stress-induced liver damage. These results have important implications for prevention of liver damage and cancer.
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Affiliation(s)
- Feng He
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, San Diego, CA, USA.
| | - Peng Zhang
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Junlai Liu
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Ruolei Wang
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Randal J Kaufman
- Degenerative Diseases Program, Center for Genetic Disorders and Aging Research, SBP Medical Discovery Institute, La Jolla, CA, USA
| | - Benjamin C Yaden
- Diabetes Novel Therapies and External Innovation, Eli Lilly and Company, Indianapolis, IN, USA.
| | - Michael Karin
- Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, San Diego, CA, USA; Department of Pathology, School of Medicine, University of California San Diego, San Diego, CA, USA.
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106
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Cooper SA, Kostallari E, Shah VH. Angiocrine Signaling in Sinusoidal Health and Disease. Semin Liver Dis 2023; 43:245-257. [PMID: 37442155 PMCID: PMC10798369 DOI: 10.1055/a-2128-5907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/15/2023]
Abstract
Liver sinusoidal endothelial cells (LSECs) are key players in maintaining hepatic homeostasis. They also play crucial roles during liver injury by communicating with liver cell types as well as immune cells and promoting portal hypertension, fibrosis, and inflammation. Cutting-edge technology, such as single cell and spatial transcriptomics, have revealed the existence of distinct LSEC subpopulations with a clear zonation in the liver. The signals released by LSECs are commonly called "angiocrine signaling." In this review, we summarize the role of angiocrine signaling in health and disease, including zonation in healthy liver, regeneration, fibrosis, portal hypertension, nonalcoholic fatty liver disease, alcohol-associated liver disease, aging, drug-induced liver injury, and ischemia/reperfusion, as well as potential therapeutic advances. In conclusion, sinusoidal endotheliopathy is recognized in liver disease and promising preclinical studies are paving the path toward LSEC-specific pharmacotherapies.
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Affiliation(s)
- Shawna A. Cooper
- Biochemistry and Molecular Biology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, Minnesota
| | - Enis Kostallari
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Vijay H. Shah
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
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107
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Meadows V, Yang Z, Basaly V, Guo GL. FXR Friend-ChIPs in the Enterohepatic System. Semin Liver Dis 2023; 43:267-278. [PMID: 37442156 PMCID: PMC10620036 DOI: 10.1055/a-2128-5538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/15/2023]
Abstract
Chronic liver diseases encompass a wide spectrum of hepatic maladies that often result in cholestasis or altered bile acid secretion and regulation. Incidence and cost of care for many chronic liver diseases are rising in the United States with few Food and Drug Administration-approved drugs available for patient treatment. Farnesoid X receptor (FXR) is the master regulator of bile acid homeostasis with an important role in lipid and glucose metabolism and inflammation. FXR has served as an attractive target for management of cholestasis and fibrosis; however, global FXR agonism results in adverse effects in liver disease patients, severely affecting quality of life. In this review, we highlight seminal studies and recent updates on the FXR proteome and identify gaps in knowledge that are essential for tissue-specific FXR modulation. In conclusion, one of the greatest unmet needs in the field is understanding the underlying mechanism of intestinal versus hepatic FXR function.
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Affiliation(s)
- Vik Meadows
- Department of Pharmacology and Toxicology, Rutgers University, Piscataway, New Jersey
- Environmental and Occupational Health Science Institute, Rutgers University, Piscataway, New Jersey
| | - Zhenning Yang
- Department of Pharmacology and Toxicology, Rutgers University, Piscataway, New Jersey
- Environmental and Occupational Health Science Institute, Rutgers University, Piscataway, New Jersey
| | - Veronia Basaly
- Department of Pharmacology and Toxicology, Rutgers University, Piscataway, New Jersey
- Environmental and Occupational Health Science Institute, Rutgers University, Piscataway, New Jersey
| | - Grace L. Guo
- Department of Pharmacology and Toxicology, Rutgers University, Piscataway, New Jersey
- Environmental and Occupational Health Science Institute, Rutgers University, Piscataway, New Jersey
- Department of Veterans Affairs, New Jersey Health Care System, East Orange, New Jersey
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108
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Rong R, Wei Y, Li L, Wang T, Zhu H, Xiao G, Wang Y. Image-based quantification of histological features as a function of spatial location using the Tissue Positioning System. EBioMedicine 2023; 94:104698. [PMID: 37453365 PMCID: PMC10365985 DOI: 10.1016/j.ebiom.2023.104698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 06/19/2023] [Accepted: 06/22/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Tissues such as the liver lobule, kidney nephron, and intestinal gland exhibit intricate patterns of zonated gene expression corresponding to distinct cell types and functions. To quantitatively understand zonation, it is important to measure cellular or genetic features as a function of position along a zonal axis. While it is possible to manually count, characterize, and locate features in relation to the zonal axis, it is labor-intensive and difficult to do manually while maintaining precision and accuracy. METHODS We addressed this challenge by developing a deep-learning-based quantification method called the "Tissue Positioning System" (TPS), which can automatically analyze zonation in the liver lobule as a model system. FINDINGS By using algorithms that identified vessels, classified vessels, and segmented zones based on the relative position along the portal vein to central vein axis, TPS was able to spatially quantify gene expression in mice with zone specific reporters. INTERPRETATION TPS could discern expression differences between zonal reporter strains, ages, and disease states. TPS could also reveal the zonal distribution of cells previously thought to be positioned randomly. The design principles of TPS could be generalized to other tissues to explore the biology of zonation. FUNDING CPRIT (RP190208, RP220614, RP230330) and NIH (P30CA142543, R01AA028791, R01CA251928, R01DK1253961, R01GM140012, 1R01GM141519, 1R01DE030656, 1U01CA249245). The Pollack Foundation, Simmons Comprehensive Cancer Center Cancer & Obesity Translational Pilot Award, and the Emerging Leader Award from the Mark Foundation For Cancer Research (#21-003-ELA).
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Affiliation(s)
- Ruichen Rong
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Yonglong Wei
- Children's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Lin Li
- Children's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Tao Wang
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA; Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Hao Zhu
- Children's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Guanghua Xiao
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
| | - Yunguan Wang
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA; Children's Research Institute, Departments of Pediatrics and Internal Medicine, Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA; Division of Pediatric Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
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109
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Chen F, Schönberger K, Tchorz JS. Distinct hepatocyte identities in liver homeostasis and regeneration. JHEP Rep 2023; 5:100779. [PMID: 37456678 PMCID: PMC10339260 DOI: 10.1016/j.jhepr.2023.100779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/27/2023] [Accepted: 04/07/2023] [Indexed: 07/18/2023] Open
Abstract
The process of metabolic liver zonation is spontaneously established by assigning distributed tasks to hepatocytes along the porto-central blood flow. Hepatocytes fulfil critical metabolic functions, while also maintaining hepatocyte mass by replication when needed. Recent technological advances have enabled us to fine-tune our understanding of hepatocyte identity during homeostasis and regeneration. Subsets of hepatocytes have been identified to be more regenerative and some have even been proposed to function like stem cells, challenging the long-standing view that all hepatocytes are similarly capable of regeneration. The latest data show that hepatocyte renewal during homeostasis and regeneration after liver injury is not limited to rare hepatocytes; however, hepatocytes are not exactly the same. Herein, we review the known differences that give individual hepatocytes distinct identities, recent findings demonstrating how these distinct identities correspond to differences in hepatocyte regenerative capacity, and how the plasticity of hepatocyte identity allows for division of labour among hepatocytes. We further discuss how these distinct hepatocyte identities may play a role during liver disease.
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Affiliation(s)
- Feng Chen
- Novartis Institutes for BioMedical Research, Cambridge, MA, United States
| | | | - Jan S. Tchorz
- Novartis Institutes for BioMedical Research, Basel, Switzerland
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110
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Li B, Rodrigo-Torres D, Pelz C, Innes B, Canaday P, Chai S, Zandstra P, Bader GD, Grompe M. Cell networks in the mouse liver during partial hepatectomy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.16.549116. [PMID: 37503083 PMCID: PMC10370080 DOI: 10.1101/2023.07.16.549116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
In solid tissues homeostasis and regeneration after injury involve a complex interplay between many different cell types. The mammalian liver harbors numerous epithelial and non-epithelial cells and little is known about the global signaling networks that govern their interactions. To better understand the hepatic cell network, we isolated and purified 10 different cell populations from normal and regenerative mouse livers. Their transcriptomes were analyzed by bulk RNA-seq and a computational platform was used to analyze the cell-cell and ligand-receptor interactions among the 10 populations. Over 50,000 potential cell-cell interactions were found in both the ground state and after partial hepatectomy. Importantly, about half of these differed between the two states, indicating massive changes in the cell network during regeneration. Our study provides the first comprehensive database of potential cell-cell interactions in mammalian liver cell homeostasis and regeneration. With the help of this prediction model, we identified and validated two previously unknown signaling interactions involved in accelerating and delaying liver regeneration. Overall, we provide a novel platform for investigating autocrine/paracrine pathways in tissue regeneration, which can be adapted to other complex multicellular systems.
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Affiliation(s)
- Bin Li
- Oregon Stem Cell Center
- Department of Pediatrics, Papé Family Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Daniel Rodrigo-Torres
- Oregon Stem Cell Center
- Department of Pediatrics, Papé Family Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Carl Pelz
- Oregon Stem Cell Center
- Department of Pediatrics, Papé Family Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Brendan Innes
- The Donnelly Centre, University of Toronto, Toronto, ON, Canada
| | | | - Sunghee Chai
- Oregon Stem Cell Center
- Department of Pediatrics, Papé Family Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Peter Zandstra
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
| | - Gary D. Bader
- The Donnelly Centre, University of Toronto, Toronto, ON, Canada
| | - Markus Grompe
- Oregon Stem Cell Center
- Department of Pediatrics, Papé Family Institute, Oregon Health & Science University, Portland, Oregon, USA
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111
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Karri K, Waxman DJ. TCDD dysregulation of lncRNA expression, liver zonation and intercellular communication across the liver lobule. Toxicol Appl Pharmacol 2023; 471:116550. [PMID: 37172768 PMCID: PMC10330769 DOI: 10.1016/j.taap.2023.116550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/21/2023] [Accepted: 05/09/2023] [Indexed: 05/15/2023]
Abstract
The persistent environmental aryl hydrocarbon receptor agonist and hepatotoxin TCDD (2,3,7,8-tetrachlorodibenzo-p-dioxin) induces hepatic lipid accumulation (steatosis), inflammation (steatohepatitis) and fibrosis. Thousands of liver-expressed, nuclear-localized lncRNAs with regulatory potential have been identified; however, their roles in TCDD-induced hepatoxicity and liver disease are unknown. We analyzed single nucleus (sn)RNA-seq data from control and subchronic (4 wk) TCDD-exposed mouse liver to determine liver cell-type specificity, zonation and differential expression profiles for thousands of lncRNAs. TCDD dysregulated >4000 of these lncRNAs in one or more liver cell types, including 684 lncRNAs specifically dysregulated in liver non-parenchymal cells. Trajectory inference analysis revealed major disruption by TCDD of hepatocyte zonation, affecting >800 genes, including 121 lncRNAs, with strong enrichment for lipid metabolism genes. TCDD also dysregulated expression of >200 transcription factors, including 19 Nuclear Receptors, most notably in hepatocytes and Kupffer cells. TCDD-induced changes in cell-cell communication patterns included marked decreases in EGF signaling from hepatocytes to non-parenchymal cells and increases in extracellular matrix-receptor interactions central to liver fibrosis. Gene regulatory networks constructed from the snRNA-seq data identified TCDD-exposed liver network-essential lncRNA regulators linked to functions such as fatty acid metabolic process, peroxisome and xenobiotic metabolism. Networks were validated by the striking enrichments that predicted regulatory lncRNAs showed for specific biological pathways. These findings highlight the power of snRNA-seq to discover functional roles for many xenobiotic-responsive lncRNAs in both hepatocytes and liver non-parenchymal cells and to elucidate novel aspects of foreign chemical-induced hepatotoxicity and liver disease, including dysregulation of intercellular communication within the liver lobule.
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Affiliation(s)
- Kritika Karri
- Department of Biology and Bioinformatics Program, Boston University, Boston, MA 02215, USA
| | - David J Waxman
- Department of Biology and Bioinformatics Program, Boston University, Boston, MA 02215, USA.
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112
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Zou J, Li J, Zhong X, Tang D, Fan X, Chen R. Liver in infections: a single-cell and spatial transcriptomics perspective. J Biomed Sci 2023; 30:53. [PMID: 37430371 PMCID: PMC10332047 DOI: 10.1186/s12929-023-00945-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/27/2023] [Indexed: 07/12/2023] Open
Abstract
The liver is an immune organ that plays a vital role in the detection, capture, and clearance of pathogens and foreign antigens that invade the human body. During acute and chronic infections, the liver transforms from a tolerant to an active immune state. The defence mechanism of the liver mainly depends on a complicated network of intrahepatic and translocated immune cells and non-immune cells. Therefore, a comprehensive liver cell atlas in both healthy and diseased states is needed for new therapeutic target development and disease intervention improvement. With the development of high-throughput single-cell technology, we can now decipher heterogeneity, differentiation, and intercellular communication at the single-cell level in sophisticated organs and complicated diseases. In this concise review, we aimed to summarise the advancement of emerging high-throughput single-cell technologies and re-define our understanding of liver function towards infections, including hepatitis B virus, hepatitis C virus, Plasmodium, schistosomiasis, endotoxemia, and corona virus disease 2019 (COVID-19). We also unravel previously unknown pathogenic pathways and disease mechanisms for the development of new therapeutic targets. As high-throughput single-cell technologies mature, their integration into spatial transcriptomics, multiomics, and clinical data analysis will aid in patient stratification and in developing effective treatment plans for patients with or without liver injury due to infectious diseases.
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Affiliation(s)
- Ju Zou
- Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Jie Li
- Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Xiao Zhong
- Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Daolin Tang
- Department of Surgery, UT Southwestern Medical Center, Dallas, TX, USA
| | - Xuegong Fan
- Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Ruochan Chen
- Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
- Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
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113
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Han DW, Xu K, Jin ZL, Xu YN, Li YH, Wang L, Cao Q, Kim KP, Ryu D, Hong K, Kim NH. Customized liver organoids as an advanced in vitro modeling and drug discovery platform for non-alcoholic fatty liver diseases. Int J Biol Sci 2023; 19:3595-3613. [PMID: 37497008 PMCID: PMC10367556 DOI: 10.7150/ijbs.85145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/12/2023] [Indexed: 07/28/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) and its progressive form non-alcoholic steatohepatitis (NASH) have presented a major and common health concern worldwide due to their increasing prevalence and progressive development of severe pathological conditions such as cirrhosis and liver cancer. Although a large number of drug candidates for the treatment of NASH have entered clinical trial testing, all have not been released to market due to their limited efficacy, and there remains no approved treatment for NASH available to this day. Recently, organoid technology that produces 3D multicellular aggregates with a liver tissue-like cytoarchitecture and improved functionality has been suggested as a novel platform for modeling the human-specific complex pathophysiology of NAFLD and NASH. In this review, we describe the cellular crosstalk between each cellular compartment in the liver during the pathogenesis of NAFLD and NASH. We also summarize the current state of liver organoid technology, describing the cellular diversity that could be recapitulated in liver organoids and proposing a future direction for liver organoid technology as an in vitro platform for disease modeling and drug discovery for NAFLD and NASH.
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Affiliation(s)
- Dong Wook Han
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China
- International Healthcare Innovation Institute (Jiangmen), Jianghai, Jiangmen, Guangdong Province, China
- Research and Development, Qingdao Haier Biotech Co. Ltd, Qingdao, China
- Guangdong ORGANOID Biotechnology Co. Ltd, Jiangmen, China
| | - KangHe Xu
- Department of Surgery, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea
| | - Zhe-Long Jin
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China
- International Healthcare Innovation Institute (Jiangmen), Jianghai, Jiangmen, Guangdong Province, China
- Guangdong ORGANOID Biotechnology Co. Ltd, Jiangmen, China
| | - Yong-Nan Xu
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China
- International Healthcare Innovation Institute (Jiangmen), Jianghai, Jiangmen, Guangdong Province, China
| | - Ying-Hua Li
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China
- International Healthcare Innovation Institute (Jiangmen), Jianghai, Jiangmen, Guangdong Province, China
| | - Lin Wang
- Research and Development, Qingdao Haier Biotech Co. Ltd, Qingdao, China
| | - Qilong Cao
- Research and Development, Qingdao Haier Biotech Co. Ltd, Qingdao, China
| | - Kee-Pyo Kim
- Department of Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - DongHee Ryu
- Department of Surgery, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea
| | - Kwonho Hong
- Department of Stem Cell and Regenerative Biotechnology, The institute of advanced regenerative science, Konkuk University, Seoul, Republic of Korea
| | - Nam-Hyung Kim
- Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China
- International Healthcare Innovation Institute (Jiangmen), Jianghai, Jiangmen, Guangdong Province, China
- Research and Development, Qingdao Haier Biotech Co. Ltd, Qingdao, China
- Guangdong ORGANOID Biotechnology Co. Ltd, Jiangmen, China
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114
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Fang J, Singh S, Cheng C, Natarajan S, Sheppard H, Abu-Zaid A, Durbin AD, Lee HW, Wu Q, Steele J, Connelly JP, Jin H, Chen W, Fan Y, Pruett-Miller SM, Rehg JE, Koo SC, Santiago T, Emmons J, Cairo S, Wang R, Glazer ES, Murphy AJ, Chen T, Davidoff AM, Armengol C, Easton J, Chen X, Yang J. Genome-wide mapping of cancer dependency genes and genetic modifiers of chemotherapy in high-risk hepatoblastoma. Nat Commun 2023; 14:4003. [PMID: 37414763 PMCID: PMC10326052 DOI: 10.1038/s41467-023-39717-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/27/2023] [Indexed: 07/08/2023] Open
Abstract
A lack of relevant genetic models and cell lines hampers our understanding of hepatoblastoma pathogenesis and the development of new therapies for this neoplasm. Here, we report an improved MYC-driven hepatoblastoma-like murine model that recapitulates the pathological features of embryonal type of hepatoblastoma, with transcriptomics resembling the high-risk gene signatures of the human disease. Single-cell RNA-sequencing and spatial transcriptomics identify distinct subpopulations of hepatoblastoma cells. After deriving cell lines from the mouse model, we map cancer dependency genes using CRISPR-Cas9 screening and identify druggable targets shared with human hepatoblastoma (e.g., CDK7, CDK9, PRMT1, PRMT5). Our screen also reveals oncogenes and tumor suppressor genes in hepatoblastoma that engage multiple, druggable cancer signaling pathways. Chemotherapy is critical for human hepatoblastoma treatment. A genetic mapping of doxorubicin response by CRISPR-Cas9 screening identifies modifiers whose loss-of-function synergizes with (e.g., PRKDC) or antagonizes (e.g., apoptosis genes) the effect of chemotherapy. The combination of PRKDC inhibition and doxorubicin-based chemotherapy greatly enhances therapeutic efficacy. These studies provide a set of resources including disease models suitable for identifying and validating potential therapeutic targets in human high-risk hepatoblastoma.
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Affiliation(s)
- Jie Fang
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shivendra Singh
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Changde Cheng
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Sivaraman Natarajan
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Heather Sheppard
- Comparative Pathology Core, St. Jude Children's Research Hospital, Memphis, TN, USA
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ahmed Abu-Zaid
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Adam D Durbin
- Division of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ha Won Lee
- Department of Chemical Biology and Therapeutics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Qiong Wu
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jacob Steele
- Center for Advanced Genome Engineering (CAGE), St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jon P Connelly
- Center for Advanced Genome Engineering (CAGE), St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Hongjian Jin
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Wenan Chen
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yiping Fan
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shondra M Pruett-Miller
- Center for Advanced Genome Engineering (CAGE), St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jerold E Rehg
- Comparative Pathology Core, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Selene C Koo
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Teresa Santiago
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Joseph Emmons
- VPC Diagnostic Laboratory, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Stefano Cairo
- Champions Oncology, 1330 Piccard dr, Rockville, MD, USA
| | - Ruoning Wang
- Center for Childhood Cancer and Blood Disease, Hematology/Oncology & BMT, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA
| | - Evan S Glazer
- Department of Surgery, College of Medicine, The University of Tennessee Health Science Center, 910 Madison Ave., Suite 325, Memphis, TN, USA
| | - Andrew J Murphy
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
- Department of Surgery, College of Medicine, The University of Tennessee Health Science Center, 910 Madison Ave., Suite 325, Memphis, TN, USA
| | - Taosheng Chen
- Department of Chemical Biology and Therapeutics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Andrew M Davidoff
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA
- Department of Surgery, College of Medicine, The University of Tennessee Health Science Center, 910 Madison Ave., Suite 325, Memphis, TN, USA
- St Jude Graduate School of Biomedical Sciences, St Jude Children's Research Hospital, Memphis, TN, USA
- Department of Pathology, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Carolina Armengol
- Childhood Liver Oncology Group, Germans Trias i Pujol Research Institute (IGTP), Translational Program in Cancer Research (CARE), Badalona, Spain
- CIBER, Hepatic and Digestive Diseases, Barcelona, Spain
- CIBERehd, Madrid, Spain
| | - John Easton
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Xiang Chen
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
- St Jude Graduate School of Biomedical Sciences, St Jude Children's Research Hospital, Memphis, TN, USA.
| | - Jun Yang
- Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA.
- St Jude Graduate School of Biomedical Sciences, St Jude Children's Research Hospital, Memphis, TN, USA.
- Department of Pathology, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN, USA.
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115
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Xie B, Gao D, Zhou B, Chen S, Wang L. New discoveries in the field of metabolism by applying single-cell and spatial omics. J Pharm Anal 2023; 13:711-725. [PMID: 37577385 PMCID: PMC10422156 DOI: 10.1016/j.jpha.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 05/29/2023] [Accepted: 06/02/2023] [Indexed: 08/15/2023] Open
Abstract
Single-cell multi-Omics (SCM-Omics) and spatial multi-Omics (SM-Omics) technologies provide state-of-the-art methods for exploring the composition and function of cell types in tissues/organs. Since its emergence in 2009, single-cell RNA sequencing (scRNA-seq) has yielded many groundbreaking new discoveries. The combination of this method with the emergence and development of SM-Omics techniques has been a pioneering strategy in neuroscience, developmental biology, and cancer research, especially for assessing tumor heterogeneity and T-cell infiltration. In recent years, the application of these methods in the study of metabolic diseases has also increased. The emerging SCM-Omics and SM-Omics approaches allow the molecular and spatial analysis of cells to explore regulatory states and determine cell fate, and thus provide promising tools for unraveling heterogeneous metabolic processes and making them amenable to intervention. Here, we review the evolution of SCM-Omics and SM-Omics technologies, and describe the progress in the application of SCM-Omics and SM-Omics in metabolism-related diseases, including obesity, diabetes, nonalcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD). We also conclude that the application of SCM-Omics and SM-Omics approaches can help resolve the molecular mechanisms underlying the pathogenesis of metabolic diseases in the body and facilitate therapeutic measures for metabolism-related diseases. This review concludes with an overview of the current status of this emerging field and the outlook for its future.
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Affiliation(s)
- Baocai Xie
- Department of Critical Care Medicine, Shenzhen Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, 518060, China
- Department of Respiratory Diseases, The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450014, China
| | - Dengfeng Gao
- State Key Laboratory of Animal Biotech Breeding, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Biqiang Zhou
- Department of Geriatric & Spinal Pain Multi-Department Treatment, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen, Guangdong, 518035, China
| | - Shi Chen
- Department of Critical Care Medicine, Shenzhen Institute of Translational Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, 518060, China
- Department of Gastroenterology, Ministry of Education Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China
| | - Lianrong Wang
- Department of Respiratory Diseases, The Research and Application Center of Precision Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450014, China
- Department of Gastroenterology, Ministry of Education Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China
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116
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Karri K, Waxman DJ. Dysregulation of murine long noncoding single-cell transcriptome in nonalcoholic steatohepatitis and liver fibrosis. RNA (NEW YORK, N.Y.) 2023; 29:977-1006. [PMID: 37015806 PMCID: PMC10275269 DOI: 10.1261/rna.079580.123] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
LncRNAs comprise a heterogeneous class of RNA-encoding genes typified by low expression, nuclear enrichment, high tissue-specificity, and functional diversity, but the vast majority remain uncharacterized. Here, we assembled the mouse liver noncoding transcriptome from >2000 bulk RNA-seq samples and discovered 48,261 liver-expressed lncRNAs, a majority novel. Using these lncRNAs as a single-cell transcriptomic reference set, we elucidated lncRNA dysregulation in mouse models of high fat diet-induced nonalcoholic steatohepatitis and carbon tetrachloride-induced liver fibrosis. Trajectory inference analysis revealed lncRNA zonation patterns across the liver lobule in each major liver cell population. Perturbations in lncRNA expression and zonation were common in several disease-associated liver cell types, including nonalcoholic steatohepatitis-associated macrophages, a hallmark of fatty liver disease progression, and collagen-producing myofibroblasts, a central feature of liver fibrosis. Single-cell-based gene regulatory network analysis using bigSCale2 linked individual lncRNAs to specific biological pathways, and network-essential regulatory lncRNAs with disease-associated functions were identified by their high network centrality metrics. For a subset of these lncRNAs, promoter sequences of the network-defined lncRNA target genes were significantly enriched for lncRNA triplex formation, providing independent mechanistic support for the lncRNA-target gene linkages predicted by the gene regulatory networks. These findings elucidate liver lncRNA cell-type specificities, spatial zonation patterns, associated regulatory networks, and temporal patterns of dysregulation during hepatic disease progression. A subset of the liver disease-associated regulatory lncRNAs identified have human orthologs and are promising candidates for biomarkers and therapeutic targets.
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Affiliation(s)
- Kritika Karri
- Department of Biology, Boston University, Boston, Massachusetts 02215, USA
- Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA
| | - David J Waxman
- Department of Biology, Boston University, Boston, Massachusetts 02215, USA
- Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA
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117
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Zhao R, Cheng W, Shen J, Liang W, Zhang Z, Sheng Y, Chai T, Chen X, Zhang Y, Huang X, Yang H, Song C, Pang L, Nan C, Zhang Y, Chen R, Mei J, Wei H, Fang X. Single-cell and spatiotemporal transcriptomic analyses reveal the effects of microorganisms on immunity and metabolism in the mouse liver. Comput Struct Biotechnol J 2023; 21:3466-3477. [PMID: 38152123 PMCID: PMC10751235 DOI: 10.1016/j.csbj.2023.06.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/28/2023] [Accepted: 06/28/2023] [Indexed: 12/29/2023] Open
Abstract
The gut-liver axis is a complex bidirectional communication pathway between the intestine and the liver in which microorganisms and their metabolites flow from the intestine through the portal vein to the liver and influence liver function. In a sterile environment, the phenotype or function of the liver is altered, but few studies have investigated the specific cellular and molecular effects of microorganisms on the liver. To this end, we constructed single-cell and spatial transcriptomic (ST) profiles of germ-free (GF) and specific-pathogen-free (SPF) mouse livers. Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) revealed that the ratio of most immune cells was altered in the liver of GF mice; in particular, natural killer T (NKT) cells, IgA plasma cells (IgAs) and Kupffer cells (KCs) were significantly reduced in GF mice. Spatial enhanced resolution omics sequencing (Stereo-seq) confirmed that microorganisms mediated the accumulation of Kupffer cells in the periportal zone. Unexpectedly, IgA plasma cells were more numerous and concentrated in the periportal vein in liver sections from SPF mice but less numerous and scattered in GF mice. ST technology also enables the precise zonation of liver lobules into eight layers and three patterns based on the gene expression level in each layer, allowing us to further investigate the effects of microbes on gene zonation patterns and functions. Furthermore, untargeted metabolism experiments of the liver revealed that the propionic acid levels were significantly lower in GF mice, and this reduction may be related to the control of genes involved in bile acid and fatty acid metabolism. In conclusion, the combination of sc/snRNA-seq, Stereo-seq, and untargeted metabolomics revealed immune system defects as well as altered bile acid and lipid metabolic processes at the single-cell and spatial levels in the livers of GF mice. This study will be of great value for understanding host-microbiota interactions.
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Affiliation(s)
- Ruizhen Zhao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Wei Cheng
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Juan Shen
- BGI-Shenzhen, Shenzhen 518083, China
| | | | - Zhao Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yifei Sheng
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Tailiang Chai
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xueting Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yin Zhang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xiang Huang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | | | - Chunqing Song
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Li Pang
- BGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China
| | - Cuoji Nan
- BGI-Shenzhen, Shenzhen 518083, China
| | | | - Rouxi Chen
- BGI-Sanya, BGI-Shenzhen, Sanya 572025, China
| | - Junpu Mei
- BGI-Shenzhen, Shenzhen 518083, China
- BGI-Sanya, BGI-Shenzhen, Sanya 572025, China
| | - Hong Wei
- Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xiaodong Fang
- BGI-Shenzhen, Shenzhen 518083, China
- BGI-Sanya, BGI-Shenzhen, Sanya 572025, China
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Otumala AE, Hellen DJ, Luna CA, Delgado P, Dissanayaka A, Ugwumadu C, Oshinowo O, Islam MM, Shen L, Karpen SJ, Myers DR. Opportunities and considerations for studying liver disease with microphysiological systems on a chip. LAB ON A CHIP 2023; 23:2877-2898. [PMID: 37282629 DOI: 10.1039/d2lc00940d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Advances in microsystem engineering have enabled the development of highly controlled models of the liver that better recapitulate the unique in vivo biological conditions. In just a few short years, substantial progress has been made in creating complex mono- and multi-cellular models that mimic key metabolic, structural, and oxygen gradients crucial for liver function. Here we review: 1) the state-of-the-art in liver-centric microphysiological systems and 2) the array of liver diseases and pressing biological and therapeutic challenges which could be investigated with these systems. The engineering community has unique opportunities to innovate with new liver-on-a-chip devices and partner with biomedical researchers to usher in a new era of understanding of the molecular and cellular contributors to liver diseases and identify and test rational therapeutic modalities.
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Affiliation(s)
- Adiya E Otumala
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Dominick J Hellen
- Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology and Nutrition, Emory University School of Medicine, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
| | - C Alessandra Luna
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Priscilla Delgado
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Anjana Dissanayaka
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Chidozie Ugwumadu
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Oluwamayokun Oshinowo
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Md Mydul Islam
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Luyao Shen
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Saul J Karpen
- Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology and Nutrition, Emory University School of Medicine, Children's Healthcare of Atlanta, Atlanta, Georgia, USA
| | - David R Myers
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 1760 Haygood Dr, Suite E-160, Rm E-156, Atlanta, GA, 30332, USA.
- Department of Pediatrics, Division of Pediatric Hematology/Oncology, Aflac Cancer Center and Blood Disorders Service of Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, GA 30322, USA
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119
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Bragg RM, Coffey SR, Cantle JP, Hu S, Singh S, Legg SR, McHugh CA, Toor A, Zeitlin SO, Kwak S, Howland D, Vogt TF, Monga SP, Carroll JB. Huntingtin loss in hepatocytes is associated with altered metabolism, adhesion, and liver zonation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.24.546334. [PMID: 37425835 PMCID: PMC10327156 DOI: 10.1101/2023.06.24.546334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Huntington's disease arises from a toxic gain of function in the huntingtin ( HTT ) gene. As a result, many HTT-lowering therapies are being pursued in clinical studies, including those that reduce HTT RNA and protein expression in the liver. To investigate potential impacts, we characterized molecular, cellular, and metabolic impacts of chronic HTT lowering in mouse hepatocytes. Lifelong hepatocyte HTT loss is associated with multiple physiological changes, including increased circulating bile acids, cholesterol and urea, hypoglycemia, and impaired adhesion. HTT loss causes a clear shift in the normal zonal patterns of liver gene expression, such that pericentral gene expression is reduced. These alterations in liver zonation in livers lacking HTT are observed at the transcriptional, histological and plasma metabolite level. We have extended these phenotypes physiologically with a metabolic challenge of acetaminophen, for which the HTT loss results in toxicity resistance. Our data reveal an unexpected role for HTT in regulating hepatic zonation, and we find that loss of HTT in hepatocytes mimics the phenotypes caused by impaired hepatic β-catenin function.
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Affiliation(s)
- Robert M. Bragg
- Behavioral Neuroscience Program, Department of Psychology, Western Washington University, Bellingham WA 98225
| | - Sydney R. Coffey
- Behavioral Neuroscience Program, Department of Psychology, Western Washington University, Bellingham WA 98225
| | - Jeffrey P. Cantle
- Behavioral Neuroscience Program, Department of Psychology, Western Washington University, Bellingham WA 98225
| | - Shikai Hu
- School of Medicine, Tsinghua University, Beijing, China
- Division of Experimental Pathology, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sucha Singh
- Division of Experimental Pathology, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Samuel R.W. Legg
- Behavioral Neuroscience Program, Department of Psychology, Western Washington University, Bellingham WA 98225
| | - Cassandra A. McHugh
- Behavioral Neuroscience Program, Department of Psychology, Western Washington University, Bellingham WA 98225
| | - Amreen Toor
- Behavioral Neuroscience Program, Department of Psychology, Western Washington University, Bellingham WA 98225
| | - Scott O. Zeitlin
- Department of Neuroscience, University of Virginia, Charlottesville, VA 22908
| | | | | | | | - Satdarshan P. Monga
- Division of Experimental Pathology, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Pittsburgh Liver Research Center, University of Pittsburgh Medical Center and University of Pittsburgh School of Medicine, Pittsburgh, PA USA; Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA USA
| | - Jeffrey B. Carroll
- Behavioral Neuroscience Program, Department of Psychology, Western Washington University, Bellingham WA 98225
- Department of Neurology, University of Washington, Seattle, WA 98104-2499
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120
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Kang HM, Lee JH. Spatial Single-Cell Technologies for Exploring Gastrointestinal Tissue Transcriptome. Compr Physiol 2023; 13:4709-4718. [PMID: 37358516 PMCID: PMC10386894 DOI: 10.1002/cphy.c210053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
In the gastrointestinal (GI) system, like in other organ systems, the histological structure is a key determinant of physiological function. Tissues form multiple layers in the GI tract to perform their specialized functions in secretion, absorption, and motility. Even at the single layer, the heterogeneous cell population performs a diverse range of digestive or regulatory functions. Although many details of such functions at the histological and cell biological levels were revealed by traditional methods such as cell sorting, isolation, and culture, as well as histological methods such as immunostaining and RNA in situ hybridization, recent advances in spatial single-cell technologies could further contribute to our understanding of the molecular makeup of GI histological structures by providing a genome-wide overview of how different genes are expressed across individual cells and tissue layers. The current minireview summarizes recent advances in the spatial transcriptomics field and discusses how such technologies can promote our understanding of GI physiology. © 2023 American Physiological Society. Compr Physiol 13:4709-4718, 2023.
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Affiliation(s)
- Hyun Min Kang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Jun Hee Lee
- Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
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121
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Morse DB, Michalowski AM, Ceribelli M, De Jonghe J, Vias M, Riley D, Davies-Hill T, Voss T, Pittaluga S, Muus C, Liu J, Boyle S, Weitz DA, Brenton JD, Buenrostro JD, Knowles TPJ, Thomas CJ. Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics. Cell Syst 2023; 14:464-481.e7. [PMID: 37348462 PMCID: PMC10424188 DOI: 10.1016/j.cels.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/22/2023] [Accepted: 05/17/2023] [Indexed: 06/24/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) is a powerful technique for describing cell states. Identifying the spatial arrangement of these states in tissues remains challenging, with the existing methods requiring niche methodologies and expertise. Here, we describe segmentation by exogenous perfusion (SEEP), a rapid and integrated method to link surface proximity and environment accessibility to transcriptional identity within three-dimensional (3D) disease models. The method utilizes the steady-state diffusion kinetics of a fluorescent dye to establish a gradient along the radial axis of disease models. Classification of sample layers based on dye accessibility enables dissociated and sorted cells to be characterized by transcriptomic and regional identities. Using SEEP, we analyze spheroid, organoid, and in vivo tumor models of high-grade serous ovarian cancer (HGSOC). The results validate long-standing beliefs about the relationship between cell state and position while revealing new concepts regarding how spatially unique microenvironments influence the identity of individual cells within tumors.
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Affiliation(s)
- David B Morse
- Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aleksandra M Michalowski
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | | | - Maria Vias
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Deanna Riley
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Theresa Davies-Hill
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ty Voss
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Stefania Pittaluga
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Muus
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jiamin Liu
- Advanced Imaging and Microscopy Resource, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Samantha Boyle
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - David A Weitz
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Department of Physics, Harvard University, Cambridge, MA, USA
| | - James D Brenton
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Tuomas P J Knowles
- Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK; Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
| | - Craig J Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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122
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Mori T, Takase T, Lan KC, Yamane J, Alev C, Kimura A, Osafune K, Yamashita JK, Akutsu T, Kitano H, Fujibuchi W. eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio-temporal architectures of cells. BMC Bioinformatics 2023; 24:252. [PMID: 37322439 DOI: 10.1186/s12859-023-05355-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 05/25/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Bioinformatics capability to analyze spatio-temporal dynamics of gene expression is essential in understanding animal development. Animal cells are spatially organized as functional tissues where cellular gene expression data contain information that governs morphogenesis during the developmental process. Although several computational tissue reconstruction methods using transcriptomics data have been proposed, those methods have been ineffective in arranging cells in their correct positions in tissues or organs unless spatial information is explicitly provided. RESULTS This study demonstrates stochastic self-organizing map clustering with Markov chain Monte Carlo calculations for optimizing informative genes effectively reconstruct any spatio-temporal topology of cells from their transcriptome profiles with only a coarse topological guideline. The method, eSPRESSO (enhanced SPatial REconstruction by Stochastic Self-Organizing Map), provides a powerful in silico spatio-temporal tissue reconstruction capability, as confirmed by using human embryonic heart and mouse embryo, brain, embryonic heart, and liver lobule with generally high reproducibility (average max. accuracy = 92.0%), while revealing topologically informative genes, or spatial discriminator genes. Furthermore, eSPRESSO was used for temporal analysis of human pancreatic organoids to infer rational developmental trajectories with several candidate 'temporal' discriminator genes responsible for various cell type differentiations. CONCLUSIONS eSPRESSO provides a novel strategy for analyzing mechanisms underlying the spatio-temporal formation of cellular organizations.
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Affiliation(s)
- Tomoya Mori
- Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611-0011, Japan
| | - Toshiro Takase
- Life Sciences, IBM Consulting, IBM Japan Ltd., 19-21 Nihonbashi Hakozaki-cho , Chuo-ku, Tokyo, 103-8510, Japan
| | - Kuan-Chun Lan
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Sho-goin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Junko Yamane
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Sho-goin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Cantas Alev
- Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Azuma Kimura
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Sho-goin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kenji Osafune
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Sho-goin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Jun K Yamashita
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Sho-goin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Tatsuya Akutsu
- Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611-0011, Japan
| | - Hiroaki Kitano
- The Systems Biology Institute, Tokyo, Japan
- Okinawa Institute of Science and Technology Graduate School, Okinawa, Japan
- Sony Computer Science Laboratories, Inc., Tokyo, Japan
- Sony AI, Inc., Tokyo, Japan
- The Alan Turing Institute, London, UK
| | - Wataru Fujibuchi
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Sho-goin, Sakyo-ku, Kyoto, 606-8507, Japan.
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Li S, Li C, Khan MI, Liu J, Shi Z, Gao D, Qiu B, Ding W. Microneedle array facilitates hepatic sinusoid construction in a large-scale liver-acinus-chip microsystem. MICROSYSTEMS & NANOENGINEERING 2023; 9:75. [PMID: 37303831 PMCID: PMC10247758 DOI: 10.1038/s41378-023-00544-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/03/2023] [Accepted: 02/24/2023] [Indexed: 06/13/2023]
Abstract
Hepatic sinusoids play a key role in maintaining high activities of liver cells in the hepatic acinus. However, the construction of hepatic sinusoids has always been a challenge for liver chips, especially for large-scale liver microsystems. Herein, we report an approach for the construction of hepatic sinusoids. In this approach, hepatic sinusoids are formed by demolding a self-developed microneedle array from a photocurable cell-loaded matrix in a large-scale liver-acinus-chip microsystem with a designed dual blood supply. Primary sinusoids formed by demolded microneedles and spontaneously self-organized secondary sinusoids can be clearly observed. Benefiting from significantly enhanced interstitial flows by formed hepatic sinusoids, cell viability is witnessed to be considerably high, liver microstructure formation occurs, and hepatocyte metabolism is enhanced. In addition, this study preliminarily demonstrates the effects of the resulting oxygen and glucose gradients on hepatocyte functions and the application of the chip in drug testing. This work paves the way for the biofabrication of fully functionalized large-scale liver bioreactors.
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Affiliation(s)
- Shibo Li
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027 China
- Department of Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001 China
| | - Chengpan Li
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027 China
| | - Muhammad Imran Khan
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui 230027 China
| | - Jing Liu
- School of Biology, Food and Environment, Hefei University, Hefei, Anhui 230601 China
| | - Zhengdi Shi
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027 China
| | - Dayong Gao
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195 USA
| | - Bensheng Qiu
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui 230027 China
| | - Weiping Ding
- Department of Oncology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001 China
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124
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Ritter U. In situ veritas: combining omics and multiplex imaging can facilitate the detection and characterization of cell-cell interactions in tissues. Front Med (Lausanne) 2023; 10:1155057. [PMID: 37332762 PMCID: PMC10270289 DOI: 10.3389/fmed.2023.1155057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/25/2023] [Indexed: 06/20/2023] Open
Affiliation(s)
- Uwe Ritter
- Chair for Immunology, University of Regensburg, Regensburg, Germany
- Department for Immunology, Leibniz Institute for Immunotherapy (LIT), Regensburg, Germany
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125
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Seubnooch P, Montani M, Tsouka S, Claude E, Rafiqi U, Perren A, Dufour JF, Masoodi M. Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging. JHEP Rep 2023; 5:100725. [PMID: 37284141 PMCID: PMC10240278 DOI: 10.1016/j.jhepr.2023.100725] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/03/2023] [Accepted: 02/27/2023] [Indexed: 06/08/2023] Open
Abstract
Background & Aims Lipid metabolism plays an important role in liver pathophysiology. The liver lobule asymmetrically distributes oxygen and nutrition, resulting in heterogeneous metabolic functions. Periportal and pericentral hepatocytes have different metabolic functions, which lead to generating liver zonation. We developed spatial metabolic imaging using desorption electrospray ionisation mass spectrometry to investigate lipid distribution across liver zonation with high reproducibility and accuracy. Methods Fresh frozen livers from healthy mice with control diet were analysed using desorption electrospray ionisation mass spectrometry imaging. Imaging was performed at 50 μm × 50 μm pixel size. Regions of interest (ROIs) were manually created by co-registering with histological data to determine the spatial hepatic lipids across liver zonation. The ROIs were confirmed by double immunofluorescence. The mass list of specific ROIs was automatically created, and univariate and multivariate statistical analysis were performed to identify statistically significant lipids across liver zonation. Results A wide range of lipid species was identified, including fatty acids, phospholipids, triacylglycerols, diacylglycerols, ceramides, and sphingolipids. We characterised hepatic lipid signatures in three different liver zones (periportal zone, midzone, and pericentral zone) and validated the reproducibility of our method for measuring a wide range of lipids. Fatty acids were predominantly detected in the periportal region, whereas phospholipids were distributed in both the periportal and pericentral zones. Interestingly, phosphatidylinositols, PI(36:2), PI(36:3), PI(36:4), PI(38:5), and PI(40:6) were located predominantly in the midzone (zone 2). Triacylglycerols and diacylglycerols were detected mainly in the pericentral region. De novo triacylglycerol biosynthesis appeared to be the most influenced pathway across the three zones. Conclusions The ability to accurately assess zone-specific hepatic lipid distribution in the liver could lead to a better understanding of lipid metabolism during the progression of liver disease. Impact and Implications Zone-specific hepatic lipid metabolism could play an important role in lipid homoeostasis during disease progression. Herein, we defined the zone-specific references of hepatic lipid species in the three liver zones using molecular imaging. The de novo triacylglycerol biosynthesis was highlighted as the most influenced pathway across the three zones.
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Affiliation(s)
- Patcharamon Seubnooch
- Institute of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department for BioMedical Research, Visceral Surgery and Medicine, University of Bern, Bern, Switzerland
| | - Matteo Montani
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Sofia Tsouka
- Institute of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland
| | | | - Umara Rafiqi
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Aurel Perren
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Jean-Francois Dufour
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department for BioMedical Research, Visceral Surgery and Medicine, University of Bern, Bern, Switzerland
| | - Mojgan Masoodi
- Institute of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland
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126
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Zhang W, Cui Y, Du Y, Yang Y, Fang T, Lu F, Kong W, Xiao C, Shi J, Reid LM, He Z. Liver cell therapies: cellular sources and grafting strategies. Front Med 2023; 17:432-457. [PMID: 37402953 DOI: 10.1007/s11684-023-1002-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/27/2023] [Indexed: 07/06/2023]
Abstract
The liver has a complex cellular composition and a remarkable regenerative capacity. The primary cell types in the liver are two parenchymal cell populations, hepatocytes and cholangiocytes, that perform most of the functions of the liver and that are helped through interactions with non-parenchymal cell types comprising stellate cells, endothelia and various hemopoietic cell populations. The regulation of the cells in the liver is mediated by an insoluble complex of proteins and carbohydrates, the extracellular matrix, working synergistically with soluble paracrine and systemic signals. In recent years, with the rapid development of genetic sequencing technologies, research on the liver's cellular composition and its regulatory mechanisms during various conditions has been extensively explored. Meanwhile breakthroughs in strategies for cell transplantation are enabling a future in which there can be a rescue of patients with end-stage liver diseases, offering potential solutions to the chronic shortage of livers and alternatives to liver transplantation. This review will focus on the cellular mechanisms of liver homeostasis and how to select ideal sources of cells to be transplanted to achieve liver regeneration and repair. Recent advances are summarized for promoting the treatment of end-stage liver diseases by forms of cell transplantation that now include grafting strategies.
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Affiliation(s)
- Wencheng Zhang
- Institute for Regenerative Medicine, Ji'an Hospital, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200123, China
- Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai, 200335, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China
| | - Yangyang Cui
- Institute for Regenerative Medicine, Ji'an Hospital, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200123, China
- Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai, 200335, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China
- Postgraduate Training Base of Shanghai East Hospital, Jinzhou Medical University, Jinzhou, 121001, China
| | - Yuan Du
- Institute for Regenerative Medicine, Ji'an Hospital, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200123, China
- The First Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Yong Yang
- Institute for Regenerative Medicine, Ji'an Hospital, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200123, China
- The First Affiliated Hospital of Nanchang University, Nanchang, 330006, China
| | - Ting Fang
- Institute for Regenerative Medicine, Ji'an Hospital, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200123, China
- Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai, 200335, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China
| | - Fengfeng Lu
- Institute for Regenerative Medicine, Ji'an Hospital, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200123, China
- Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai, 200335, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China
| | - Weixia Kong
- Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka, 565-0871, Japan
| | - Canjun Xiao
- Department of General Surgery, Ji'an Hospital, Shanghai East Hospital, School of Medicine, Tongji University, Ji'an, 343006, China
| | - Jun Shi
- The First Affiliated Hospital of Nanchang University, Nanchang, 330006, China
- Department of General Surgery, Ji'an Hospital, Shanghai East Hospital, School of Medicine, Tongji University, Ji'an, 343006, China
| | - Lola M Reid
- Department of Cell Biology and Physiology and Program in Molecular Biology and Biotechnology, UNC School of Medicine, Chapel Hill, NC, 27599, USA.
| | - Zhiying He
- Institute for Regenerative Medicine, Ji'an Hospital, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, 200123, China.
- Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai, 200335, China.
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China.
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127
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Adler M, Moriel N, Goeva A, Avraham-Davidi I, Mages S, Adams TS, Kaminski N, Macosko EZ, Regev A, Medzhitov R, Nitzan M. Emergence of division of labor in tissues through cell interactions and spatial cues. Cell Rep 2023; 42:112412. [PMID: 37086403 PMCID: PMC10242439 DOI: 10.1016/j.celrep.2023.112412] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 01/26/2023] [Accepted: 04/03/2023] [Indexed: 04/23/2023] Open
Abstract
Most cell types in multicellular organisms can perform multiple functions. However, not all functions can be optimally performed simultaneously by the same cells. Functions incompatible at the level of individual cells can be performed at the cell population level, where cells divide labor and specialize in different functions. Division of labor can arise due to instruction by tissue environment or through self-organization. Here, we develop a computational framework to investigate the contribution of these mechanisms to division of labor within a cell-type population. By optimizing collective cellular task performance under trade-offs, we find that distinguishable expression patterns can emerge from cell-cell interactions versus instructive signals. We propose a method to construct ligand-receptor networks between specialist cells and use it to infer division-of-labor mechanisms from single-cell RNA sequencing (RNA-seq) and spatial transcriptomics data of stromal, epithelial, and immune cells. Our framework can be used to characterize the complexity of cell interactions within tissues.
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Affiliation(s)
- Miri Adler
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA; Tananbaum Center for Theoretical and Analytical Human Biology, Yale University School of Medicine, New Haven, CT, USA
| | - Noa Moriel
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Aleksandrina Goeva
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Inbal Avraham-Davidi
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Simon Mages
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA; Gene Center and Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Taylor S Adams
- Section of Pulmonary, Critical Care and Sleep Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Naftali Kaminski
- Section of Pulmonary, Critical Care and Sleep Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Evan Z Macosko
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA; Massachusetts General Hospital, Department of Psychiatry, Boston, MA, USA
| | - Aviv Regev
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Ruslan Medzhitov
- Tananbaum Center for Theoretical and Analytical Human Biology, Yale University School of Medicine, New Haven, CT, USA; Howard Hughes Medical Institute, Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.
| | - Mor Nitzan
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel; Racah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem, Israel; Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
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128
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Trinh VQH, Lee TF, Lemoinne S, Ray KC, Ybanez MD, Tsuchida T, Carter JK, Agudo J, Brown BD, Akat KM, Friedman SL, Lee YA. Hepatic stellate cells maintain liver homeostasis through paracrine neurotrophin-3 signaling that induces hepatocyte proliferation. Sci Signal 2023; 16:eadf6696. [PMID: 37253090 PMCID: PMC10367116 DOI: 10.1126/scisignal.adf6696] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 05/03/2023] [Indexed: 06/01/2023]
Abstract
Organ size is maintained by the controlled proliferation of distinct cell populations. In the mouse liver, hepatocytes in the midlobular zone that are positive for cyclin D1 (CCND1) repopulate the parenchyma at a constant rate to preserve liver mass. Here, we investigated how hepatocyte proliferation is supported by hepatic stellate cells (HSCs), pericytes that are in close proximity to hepatocytes. We used T cells to ablate nearly all HSCs in the murine liver, enabling the unbiased characterization of HSC functions. In the normal liver, complete loss of HSCs persisted for up to 10 weeks and caused a gradual reduction in liver mass and in the number of CCND1+ hepatocytes. We identified neurotrophin-3 (Ntf-3) as an HSC-produced factor that induced the proliferation of midlobular hepatocytes through the activation of tropomyosin receptor kinase B (TrkB). Treating HSC-depleted mice with Ntf-3 restored CCND1+ hepatocytes in the midlobular region and increased liver mass. These findings establish that HSCs form the mitogenic niche for midlobular hepatocytes and identify Ntf-3 as a hepatocyte growth factor.
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Affiliation(s)
| | - Ting-Fang Lee
- Department of Surgery, Vanderbilt University Medical Center; Nashville, TN, USA
| | - Sara Lemoinne
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai; New York, NY, USA
| | - Kevin C. Ray
- Department of Surgery, Vanderbilt University Medical Center; Nashville, TN, USA
| | - Maria D. Ybanez
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai; New York, NY, USA
| | - Takuma Tsuchida
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai; New York, NY, USA
| | - James K. Carter
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai; New York, NY, USA
| | - Judith Agudo
- Cancer Immunology and Virology, Dana-Farber Cancer Institute, Harvard Medical School; Boston, MA, USA
| | - Brian D. Brown
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kemal M. Akat
- Division of Cardiology, Department of Medicine, Vanderbilt University Medical Center; Nashville, TN, USA
| | - Scott L. Friedman
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai; New York, NY, USA
| | - Youngmin A. Lee
- Department of Surgery, Vanderbilt University Medical Center; Nashville, TN, USA
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129
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Guo PC, Zuo J, Huang KK, Lai GY, Zhang X, An J, Li JX, Li L, Wu L, Lin YT, Wang DY, Xu JS, Hao SJ, Wang Y, Li RH, Ma W, Song YM, Liu C, Liu CY, Dai Z, Xu Y, Sharma AD, Ott M, Ou-Yang Q, Huo F, Fan R, Li YY, Hou JL, Volpe G, Liu LQ, Esteban MA, Lai YW. Cell atlas of CCl 4-induced progressive liver fibrosis reveals stage-specific responses. Zool Res 2023; 44:451-466. [PMID: 36994536 PMCID: PMC10236302 DOI: 10.24272/j.issn.2095-8137.2023.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/11/2023] [Indexed: 03/12/2023] Open
Abstract
Chronic liver injury leads to progressive liver fibrosis and ultimately cirrhosis, a major cause of morbidity and mortality worldwide. However, there are currently no effective anti-fibrotic therapies available, especially for late-stage patients, which is partly attributed to the major knowledge gap regarding liver cell heterogeneity and cell-specific responses in different fibrosis stages. To reveal the multicellular networks regulating mammalian liver fibrosis from mild to severe phenotypes, we generated a single-nucleus transcriptomic atlas encompassing 49 919 nuclei corresponding to all main liver cell types at different stages of murine carbon tetrachloride (CCl 4)-induced progressive liver fibrosis. Integrative analysis distinguished the sequential responses to injury of hepatocytes, hepatic stellate cells and endothelial cells. Moreover, we reconstructed cell-cell interactions and gene regulatory networks implicated in these processes. These integrative analyses uncovered previously overlooked aspects of hepatocyte proliferation exhaustion and disrupted pericentral metabolic functions, dysfunction for clearance by apoptosis of activated hepatic stellate cells, accumulation of pro-fibrotic signals, and the switch from an anti-angiogenic to a pro-angiogenic program during CCl 4-induced progressive liver fibrosis. Our dataset thus constitutes a useful resource for understanding the molecular basis of progressive liver fibrosis using a relevant animal model.
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Affiliation(s)
- Peng-Cheng Guo
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, Jilin 130062, China
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Jing Zuo
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Ke-Ke Huang
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510799, China
| | - Guang-Yao Lai
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical University, Guangzhou, Guangdong 510530, China
| | - Xiao Zhang
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, Jilin 130062, China
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Juan An
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Jin-Xiu Li
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Li Li
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Liang Wu
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Yi-Ting Lin
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Dong-Ye Wang
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Jiang-Shan Xu
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Shi-Jie Hao
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Wang
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Rong-Hai Li
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Wen Ma
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Yu-Mo Song
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Chang Liu
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Chuan-Yu Liu
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Zhen Dai
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
| | - Yan Xu
- Biotherapy Centre, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, China
| | - Amar Deep Sharma
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover 30625, Germany
| | - Michael Ott
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover 30625, Germany
| | - Qing Ou-Yang
- Department of Hepatobiliary Surgery and Liver Transplant Center, General Hospital of Southern Theater Command, Guangzhou, Guangdong 510010, China
| | - Feng Huo
- Department of Hepatobiliary Surgery and Liver Transplant Center, General Hospital of Southern Theater Command, Guangzhou, Guangdong 510010, China
| | - Rong Fan
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, Guangdong 510515, China
| | - Yong-Yin Li
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, Guangdong 510515, China
| | - Jin-Lin Hou
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Guangzhou, Guangdong 510515, China
| | - Giacomo Volpe
- Hematology and Cell Therapy Unit, IRCCS-Istituto Tumori 'Giovanni Paolo II', Bari 70124, Italy
| | - Long-Qi Liu
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
| | - Miguel A Esteban
- State Key Laboratory for Zoonotic Diseases, Key Laboratory for Zoonosis Research of Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, Jilin 130062, China
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510799, China
- Laboratory of Integrative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong 510530, China
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health and Guangzhou Medical University, Guangzhou, Guangdong 510530, China
- Institute of Experimental Hematology, Hannover Medical School, Hannover 30625, Germany. E-mail:
| | - Yi-Wei Lai
- BGI-Hangzhou, Hangzhou, Zhejiang 310012, China
- BGI-Shenzhen, Shenzhen, Guangdong 518103, China. E-mail:
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130
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Fernandez Bonet D, Hoffecker IT. Image recovery from unknown network mechanisms for DNA sequencing-based microscopy. NANOSCALE 2023; 15:8153-8157. [PMID: 37078374 PMCID: PMC10173253 DOI: 10.1039/d2nr05435c] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 04/13/2023] [Indexed: 05/03/2023]
Abstract
Imaging-by-sequencing methods are an emerging alternative to conventional optical micro- or nanoscale imaging. In these methods, molecular networks form through proximity-dependent association between DNA molecules carrying random sequence identifiers. DNA strands record pairwise associations such that network structure may be recovered by sequencing which, in turn, reveals the underlying spatial relationships between molecules comprising the network. Determining the computational reconstruction strategy that makes the best use of the information (in terms of spatial localization accuracy, robustness to noise, and scalability) in these networks is an open problem. We present a graph-based technique for reconstructing a diversity of molecular network classes in 2 and 3 dimensions without prior knowledge of their fundamental generation mechanisms. The model achieves robustness by obtaining an unsupervised sampling of local and global network structure using random walks, making use of minimal prior assumptions. Images are recovered from networks in two stages of dimensionality reduction first with a structural discovery step followed by a manifold learning step. By breaking the process into stages, computational complexity could be reduced leading to fast and accurate performance. Our method represents a means by which diverse molecular network generation scenarios can be unified with a common reconstruction framework.
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Affiliation(s)
- David Fernandez Bonet
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Tomtebodavägen 23a 171 65, Solna, Sweden.
| | - Ian T Hoffecker
- Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Tomtebodavägen 23a 171 65, Solna, Sweden.
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131
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Carlessi R, Denisenko E, Boslem E, Köhn-Gaone J, Main N, Abu Bakar NDB, Shirolkar GD, Jones M, Beasley AB, Poppe D, Dwyer BJ, Jackaman C, Tjiam MC, Lister R, Karin M, Fallowfield JA, Kendall TJ, Forbes SJ, Gray ES, Olynyk JK, Yeoh G, Forrest AR, Ramm GA, Febbraio MA, Tirnitz-Parker JE. Single-nucleus RNA sequencing of pre-malignant liver reveals disease-associated hepatocyte state with HCC prognostic potential. CELL GENOMICS 2023; 3:100301. [PMID: 37228755 PMCID: PMC10203275 DOI: 10.1016/j.xgen.2023.100301] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 01/27/2023] [Accepted: 03/17/2023] [Indexed: 05/27/2023]
Abstract
Current approaches to staging chronic liver diseases have limited utility for predicting liver cancer risk. Here, we employed single-nucleus RNA sequencing (snRNA-seq) to characterize the cellular microenvironment of healthy and pre-malignant livers using two distinct mouse models. Downstream analyses unraveled a previously uncharacterized disease-associated hepatocyte (daHep) transcriptional state. These cells were absent in healthy livers but increasingly prevalent as chronic liver disease progressed. Copy number variation (CNV) analysis of microdissected tissue demonstrated that daHep-enriched regions are riddled with structural variants, suggesting these cells represent a pre-malignant intermediary. Integrated analysis of three recent human snRNA-seq datasets confirmed the presence of a similar phenotype in human chronic liver disease and further supported its enhanced mutational burden. Importantly, we show that high daHep levels precede carcinogenesis and predict a higher risk of hepatocellular carcinoma development. These findings may change the way chronic liver disease patients are staged, surveilled, and risk stratified.
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Affiliation(s)
- Rodrigo Carlessi
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Elena Denisenko
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Ebru Boslem
- Cellular & Molecular Metabolism Laboratory, Monash Institute of Pharmacological Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Julia Köhn-Gaone
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Nathan Main
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - N. Dianah B. Abu Bakar
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Gayatri D. Shirolkar
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Matthew Jones
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Aaron B. Beasley
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Daniel Poppe
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
- ARC Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Benjamin J. Dwyer
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - Connie Jackaman
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
| | - M. Christian Tjiam
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Nedlands, WA, Australia
| | - Ryan Lister
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
- ARC Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Michael Karin
- Department of Pharmacology, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Jonathan A. Fallowfield
- University of Edinburgh Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK
| | - Timothy J. Kendall
- University of Edinburgh Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK
- Edinburgh Pathology, University of Edinburgh, Edinburgh, UK
| | - Stuart J. Forbes
- Centre for Regenerative Medicine, University of Edinburgh, Edinburgh, UK
| | - Elin S. Gray
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - John K. Olynyk
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - George Yeoh
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Alistair R.R. Forrest
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
| | - Grant A. Ramm
- Hepatic Fibrosis Group, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Mark A. Febbraio
- Cellular & Molecular Metabolism Laboratory, Monash Institute of Pharmacological Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Janina E.E. Tirnitz-Parker
- Curtin Medical School, Curtin Health Innovation Research Institute, Curtin University, Bentley, WA 6102, Australia
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, WA 6009, Australia
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132
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Jeon YG, Kim YY, Lee G, Kim JB. Physiological and pathological roles of lipogenesis. Nat Metab 2023; 5:735-759. [PMID: 37142787 DOI: 10.1038/s42255-023-00786-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 03/15/2023] [Indexed: 05/06/2023]
Abstract
Lipids are essential metabolites, which function as energy sources, structural components and signalling mediators. Most cells are able to convert carbohydrates into fatty acids, which are often converted into neutral lipids for storage in the form of lipid droplets. Accumulating evidence suggests that lipogenesis plays a crucial role not only in metabolic tissues for systemic energy homoeostasis but also in immune and nervous systems for their proliferation, differentiation and even pathophysiological roles. Thus, excessive or insufficient lipogenesis is closely associated with aberrations in lipid homoeostasis, potentially leading to pathological consequences, such as dyslipidaemia, diabetes, fatty liver, autoimmune diseases, neurodegenerative diseases and cancers. For systemic energy homoeostasis, multiple enzymes involved in lipogenesis are tightly controlled by transcriptional and post-translational modifications. In this Review, we discuss recent findings regarding the regulatory mechanisms, physiological roles and pathological importance of lipogenesis in multiple tissues such as adipose tissue and the liver, as well as the immune and nervous systems. Furthermore, we briefly introduce the therapeutic implications of lipogenesis modulation.
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Affiliation(s)
- Yong Geun Jeon
- Center for Adipocyte Structure and Function, Institute of Molecular Biology and Genetics, School of Biological Sciences, Seoul National University, Seoul, South Korea
| | - Ye Young Kim
- Center for Adipocyte Structure and Function, Institute of Molecular Biology and Genetics, School of Biological Sciences, Seoul National University, Seoul, South Korea
| | - Gung Lee
- Center for Adipocyte Structure and Function, Institute of Molecular Biology and Genetics, School of Biological Sciences, Seoul National University, Seoul, South Korea
| | - Jae Bum Kim
- Center for Adipocyte Structure and Function, Institute of Molecular Biology and Genetics, School of Biological Sciences, Seoul National University, Seoul, South Korea.
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McCarthy WC, Sherlock LG, Grayck MR, Zheng L, Lacayo OA, Solar M, Orlicky DJ, Dobrinskikh E, Wright CJ. Innate Immune Zonation in the Liver: NF-κB (p50) Activation and C-Reactive Protein Expression in Response to Endotoxemia Are Zone Specific. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:1372-1385. [PMID: 36946778 PMCID: PMC10121917 DOI: 10.4049/jimmunol.2200900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/27/2023] [Indexed: 03/23/2023]
Abstract
Hepatic innate immune function plays an important role in the pathogenesis of many diseases. Importantly, a growing body of literature has firmly established the spatial heterogeneity of hepatocyte metabolic function; however, whether innate immune function is zonated remains unknown. To test this question, we exposed adult C57BL/6 mice to endotoxemia, and hepatic tissue was assessed for the acute phase response (APR). The zone-specific APR was evaluated in periportal and pericentral/centrilobular hepatocytes isolated using digitonin perfusion and on hepatic tissue using RNAscope and immunohistochemistry. Western blot, EMSA, chromatin immunoprecipitation, and immunohistochemistry were used to determine the role of the transcription factor NF-κB in mediating hepatic C-reactive protein (CRP) expression. Finally, the ability of mice lacking the NF-κB subunit p50 (p50-/-) to raise a hepatic APR was evaluated. We found that endotoxemia induces a hepatocyte transcriptional APR in both male and female mice, with Crp, Apcs, Fga, Hp, and Lbp expression being enriched in pericentral/centrilobular hepatocytes. Focusing our work on CRP expression, we determined that NF-κB transcription factor subunit p50 binds to consensus sequence elements present in the murine CRP promoter. Furthermore, pericentral/centrilobular hepatocyte p50 nuclear translocation is temporally associated with zone-specific APR during endotoxemia. Lastly, the APR and CRP expression is blunted in endotoxemic p50-/- mice. These results demonstrate that the murine hepatocyte innate immune response to endotoxemia includes zone-specific activation of transcription factors and target gene expression. These results support further study of zone-specific hepatocyte innate immunity and its role in the development of various disease states.
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Affiliation(s)
- William C. McCarthy
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Laura G. Sherlock
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Maya R. Grayck
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Lijun Zheng
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Oscar A. Lacayo
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Mack Solar
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - David J. Orlicky
- Dept of Pathology, University of Colorado Anschutz School of Medicine, Aurora, CO
| | - Evgenia Dobrinskikh
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO
| | - Clyde J. Wright
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
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Qian J, Liao J, Liu Z, Chi Y, Fang Y, Zheng Y, Shao X, Liu B, Cui Y, Guo W, Hu Y, Bao H, Yang P, Chen Q, Li M, Zhang B, Fan X. Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace. Nat Commun 2023; 14:2484. [PMID: 37120608 PMCID: PMC10148590 DOI: 10.1038/s41467-023-38121-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 04/17/2023] [Indexed: 05/01/2023] Open
Abstract
Tissues are highly complicated with spatial heterogeneity in gene expression. However, the cutting-edge single-cell RNA-seq technology eliminates the spatial information of individual cells, which contributes to the characterization of cell identities. Herein, we propose single-cell spatial position associated co-embeddings (scSpace), an integrative method to identify spatially variable cell subpopulations by reconstructing cells onto a pseudo-space with spatial transcriptome references (Visium, STARmap, Slide-seq, etc.). We benchmark scSpace with both simulated and biological datasets, and demonstrate that scSpace can accurately and robustly identify spatially variated cell subpopulations. When employed to reconstruct the spatial architectures of complex tissue such as the brain cortex, the small intestinal villus, the liver lobule, the kidney, the embryonic heart, and others, scSpace shows promising performance on revealing the pairwise cellular spatial association within single-cell data. The application of scSpace in melanoma and COVID-19 exhibits a broad prospect in the discovery of spatial therapeutic markers.
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Affiliation(s)
- Jingyang Qian
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Jie Liao
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China.
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China.
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China.
| | - Ziqi Liu
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Ying Chi
- DAMO Academy, Alibaba group, 310052, Hangzhou, China
| | - Yin Fang
- College of Computer Science and Technology, Zhejiang University, 310013, Hangzhou, China
| | - Yanrong Zheng
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 310053, Hangzhou, China
| | - Xin Shao
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, 310006, Hangzhou, China
| | - Bingqi Liu
- School of Mathematical Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Yongjin Cui
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Wenbo Guo
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Yining Hu
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Hudong Bao
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Penghui Yang
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Qian Chen
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Mingxiao Li
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
| | - Bing Zhang
- DAMO Academy, Alibaba group, 310052, Hangzhou, China.
- iMedicine Lab, Alibaba-Zhejiang University Joint Research Center for Future Digital Healthcare, 310058, Hangzhou, China.
- Alibaba Cloud, Alibaba Group, 310052, Hangzhou, China.
| | - Xiaohui Fan
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China.
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China.
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China.
- iMedicine Lab, Alibaba-Zhejiang University Joint Research Center for Future Digital Healthcare, 310058, Hangzhou, China.
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135
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Abdul-Rahman F. Mechanisms of division of labor in mammalian tissue. Cell Rep 2023; 42:112366. [PMID: 37083329 DOI: 10.1016/j.celrep.2023.112366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 03/20/2023] [Accepted: 03/23/2023] [Indexed: 04/22/2023] Open
Abstract
Mammalian tissues function by dividing the labor of task performance between their cells. In this issue, Adler et al. use modeling approaches to determine if division of labor is coordinated by environmental or cell-to-cell signals.
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Affiliation(s)
- Farah Abdul-Rahman
- Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.
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136
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Zhu M, Li C, Lv K, Guo H, Hou R, Tian G, Yang J. MLSpatial: A machine-learning method to reconstruct the spatial distribution of cells from scRNA-seq by extracting spatial features. Comput Biol Med 2023; 159:106873. [PMID: 37105115 DOI: 10.1016/j.compbiomed.2023.106873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/03/2023] [Accepted: 03/30/2023] [Indexed: 04/29/2023]
Abstract
MOTIVATION Single-cell RNA sequencing (scRNA-seq) technologies allow us to interrogate the state of an individual cell within its microenvironment. However, prior to sequencing, cells should be dissociated first, making it difficult to obtain their spatial information. Since the spatial distribution of cells is critical in a few circumstances such as cancer immunotherapy, we present MLSpatial, a novel computational method to learn the relationship between gene expression patterns and spatial locations of cells, and then predict cell-to-cell distance distribution based on scRNA-seq data alone. RESULTS We collected the drosophila embryo dataset, which contains both the fluorescence in situ hybridization (FISH) data and single cell RNA-seq (scRNA-seq) data of drosophila embryo. The FISH data provided the spatial position of 3039 cells and the expression of 84 genes for each cell. The scRNA-seq data contains the expressions of 8924 genes in 1297 high-quality cells with cell location unknown. For a comparison, we also collected the MERFISH data of 645 osteosarcoma cells with cell location and the expression status of 10,050 genes known. For each data, the cells were randomly divided into a training set and a test set, in the ratio of 7:3. The cell-to-cell distances our model extracted had a higher correspondence (i.e., correlation coefficient 0.99) with those of the real situation than those of existing methods in the FISH data of drosophila embryo. However, in the osteosarcoma data, our model captured the spatial relationship between cells, with a correlation of 0.514 to that of the real situation. We also applied the model trained using the FISH data of drosophila embryo into the single cell data of drosophila embryo, for which the real location of cells are unknown. The reconstructed pseudo drosophila embryo and the real embryo (as shown by the FISH data) had a high similarity in the spatial distribution of gene expression. CONCLUSION MLSpatial can accurately restore the relative position of cells from scRNA-seq data; however, the performance depends on the type of cells. The trained model might be useful in reconstructing the spatial distributions of single cells with only scRNA-seq data, provided that the scRNA-seq data and the FISH data are under similar background (i.e., the same tissue with similar disease background).
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Affiliation(s)
- Mengbo Zhu
- Department of Mathematics, Ocean University of China, Qingdao, 266100, China; Geneis Beijing Co., Ltd., Beijing, 100102, China
| | - Changjun Li
- Department of Mathematics, Ocean University of China, Qingdao, 266100, China.
| | - Kebo Lv
- Department of Mathematics, Ocean University of China, Qingdao, 266100, China
| | - Hongzhe Guo
- Geneis Beijing Co., Ltd., Beijing, 100102, China.
| | - Rui Hou
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China
| | - Geng Tian
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China
| | - Jialiang Yang
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China; Chifeng Municipal Hospital, Chifeng, Inner Mongolia, 024000, China; Academician Workstation, Changsha Medical University, Changsha, 410219, China.
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137
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Ito Y, Hosono K, Amano H. Responses of hepatic sinusoidal cells to liver ischemia–reperfusion injury. Front Cell Dev Biol 2023; 11:1171317. [PMID: 37082623 PMCID: PMC10112669 DOI: 10.3389/fcell.2023.1171317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 03/27/2023] [Indexed: 04/07/2023] Open
Abstract
The liver displays a remarkable regenerative capacity in response to acute liver injury. In addition to the proliferation of hepatocytes during liver regeneration, non-parenchymal cells, including liver macrophages, liver sinusoidal endothelial cells (LSECs), and hepatic stellate cells (HSCs) play critical roles in liver repair and regeneration. Liver ischemia–reperfusion injury (IRI) is a major cause of increased liver damage during liver resection, transplantation, and trauma. Impaired liver repair increases postoperative morbidity and mortality of patients who underwent liver surgery. Successful liver repair and regeneration after liver IRI requires coordinated interplay and synergic actions between hepatic resident cells and recruited cell components. However, the underlying mechanisms of liver repair after liver IRI are not well understood. Recent technological advances have revealed the heterogeneity of each liver cell component in the steady state and diseased livers. In this review, we describe the progress in the biology of liver non-parenchymal cells obtained from novel technological advances. We address the functional role of each cell component in response to liver IRI and the interactions between diverse immune repertoires and non-hematopoietic cell populations during the course of liver repair after liver IRI. We also discuss how these findings can help in the design of novel therapeutic approaches. Growing insights into the cellular interactions during liver IRI would enhance the pathology of liver IRI understanding comprehensively and further develop the strategies for improvement of liver repair.
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138
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Jiang M, Guo R, Ai Y, Wang G, Tang P, Jia X, He B, Yuan Q, Xie X. Small molecule drugs promote repopulation of transplanted hepatocytes by stimulating cell dedifferentiation. JHEP Rep 2023; 5:100670. [PMID: 36873420 PMCID: PMC9976449 DOI: 10.1016/j.jhepr.2023.100670] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 12/17/2022] [Accepted: 12/21/2022] [Indexed: 01/15/2023] Open
Abstract
Background & Aims Hepatocyte transplantation has emerged as a possible treatment option for end-stage liver disease. However, an important obstacle to therapeutic success is the low level of engraftment and proliferation of transplanted hepatocytes, which do not survive long enough to exert therapeutic effects. Thus, we aimed to explore the mechanisms of hepatocyte proliferation in vivo and find a way to promote the growth of transplanted hepatocytes. Methods Hepatocyte transplantation was performed in Fah -/- mice to explore the mechanisms of hepatocyte proliferation in vivo. Guided by in vivo regeneration mechanisms, we identified compounds that promote hepatocyte proliferation in vitro. The in vivo effects of these compounds on transplanted hepatocytes were then evaluated. Results The transplanted mature hepatocytes were found to dedifferentiate into hepatic progenitor cells (HPCs), which proliferate and then convert back to a mature state at the completion of liver repopulation. The combination of two small molecules Y-27632 (Y, ROCK inhibitor) and CHIR99021 (C, Wnt agonist) could convert mouse primary hepatocytes into HPCs, which could be passaged for more than 30 passages in vitro. Moreover, YC could stimulate the proliferation of transplanted hepatocytes in Fah -/- livers by promoting their conversion into HPCs. Netarsudil (N) and LY2090314 (L), two clinically used drugs which target the same pathways as YC, could also promote hepatocyte proliferation in vitro and in vivo, by facilitating HPC conversion. Conclusions Our work suggests drugs promoting hepatocyte dedifferentiation may facilitate the growth of transplanted hepatocytes in vivo and may facilitate the application of hepatocyte therapy. Impact and implications Hepatocyte transplantation may be a treatment option for patients with end-stage liver disease. However, one important obstacle to hepatocyte therapy is the low level of engraftment and proliferation of the transplanted hepatocytes. Herein, we show that small molecule compounds which promote hepatocyte proliferation in vitro by facilitating dedifferentiation, could promote the growth of transplanted hepatocytes in vivo and may facilitate the application of hepatocyte therapy.
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Key Words
- (i)HPCs, (induced) hepatic progenitor cells
- A, A-83-01
- ALP, alkaline phosphatase
- ALT, alanine aminotransferase
- AST, aspartate aminotransferase
- C, CHIR99021
- DDC, 3,5-diethoxycarbonyl-1,4-dihydrocollidine
- Dedifferentiation
- HMM, hepatic maturation medium
- Hepatocyte expansion
- Hepatocyte progenitor cells
- Hepatocyte transplantation
- L, LY2090314
- N, netarsudil
- NTBC, 2-(2-nitro-4-trifluoro-methylbenzoyl)-1,3-cyclo-hexanedione
- PHx, partial hepatectomy
- RT-PCR, reverse-transcription PCR
- Small molecule compounds
- Y, Y27632
- iMHs, induced mature hepatocytes
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Affiliation(s)
- Mengmeng Jiang
- School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China.,CAS Key Laboratory of Receptor Research, National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.,University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China
| | - Ren Guo
- CAS Key Laboratory of Receptor Research, National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Yan Ai
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China
| | - Gang Wang
- Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Peilan Tang
- School of Pharmaceutical Science, Nanchang University, Nanchang 330006, PR China
| | - Xiaohui Jia
- CAS Key Laboratory of Receptor Research, National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.,University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China
| | - Bingqing He
- School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China.,CAS Key Laboratory of Receptor Research, National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.,University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China
| | - Qianting Yuan
- CAS Key Laboratory of Receptor Research, National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Xin Xie
- School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China.,CAS Key Laboratory of Receptor Research, National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.,University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China.,School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.,State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
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139
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Schmid CD, Olsavszky V, Reinhart M, Weyer V, Trogisch FA, Sticht C, Winkler M, Kürschner SW, Hoffmann J, Ola R, Staniczek T, Heineke J, Straub BK, Mittler J, Schledzewski K, ten Dijke P, Richter K, Dooley S, Géraud C, Goerdt S, Koch P. ALK1 controls hepatic vessel formation, angiodiversity, and angiocrine functions in hereditary hemorrhagic telangiectasia of the liver. Hepatology 2023; 77:1211-1227. [PMID: 35776660 PMCID: PMC10026949 DOI: 10.1002/hep.32641] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 06/26/2022] [Accepted: 06/27/2022] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND AIMS In hereditary hemorrhagic telangiectasia (HHT), severe liver vascular malformations are associated with mutations in the Activin A Receptor-Like Type 1 ( ACVRL1 ) gene encoding ALK1, the receptor for bone morphogenetic protein (BMP) 9/BMP10, which regulates blood vessel development. Here, we established an HHT mouse model with exclusive liver involvement and adequate life expectancy to investigate ALK1 signaling in liver vessel formation and metabolic function. APPROACH AND RESULTS Liver sinusoidal endothelial cell (LSEC)-selective Cre deleter line, Stab2-iCreF3 , was crossed with Acvrl1 -floxed mice to generate LSEC-specific Acvrl1 -deficient mice ( Alk1HEC-KO ). Alk1HEC-KO mice revealed hepatic vascular malformations and increased posthepatic flow, causing right ventricular volume overload. Transcriptomic analyses demonstrated induction of proangiogenic/tip cell gene sets and arterialization of hepatic vessels at the expense of LSEC and central venous identities. Loss of LSEC angiokines Wnt2 , Wnt9b , and R-spondin-3 ( Rspo3 ) led to disruption of metabolic liver zonation in Alk1HEC-KO mice and in liver specimens of patients with HHT. Furthermore, prion-like protein doppel ( Prnd ) and placental growth factor ( Pgf ) were upregulated in Alk1HEC-KO hepatic endothelial cells, representing candidates driving the organ-specific pathogenesis of HHT. In LSEC in vitro , stimulation or inhibition of ALK1 signaling counter-regulated Inhibitors of DNA binding (ID)1-3, known Alk1 transcriptional targets. Stimulation of ALK1 signaling and inhibition of ID1-3 function confirmed regulation of Wnt2 and Rspo3 by the BMP9/ALK1/ID axis. CONCLUSIONS Hepatic endothelial ALK1 signaling protects from development of vascular malformations preserving organ-specific endothelial differentiation and angiocrine signaling. The long-term surviving Alk1HEC-KO HHT model offers opportunities to develop targeted therapies for this severe disease.
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Affiliation(s)
- Christian David Schmid
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Victor Olsavszky
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Manuel Reinhart
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Vanessa Weyer
- Department of Neuroradiology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Radiation Oncology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Felix A. Trogisch
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Cardiovascular Physiology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- DZHK (German Center for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Carsten Sticht
- Core Facility Platform Mannheim, NGS Core Facility, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Manuel Winkler
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sina W. Kürschner
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Johannes Hoffmann
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Roxana Ola
- Department of Cardiovascular Pharmacology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Theresa Staniczek
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Joerg Heineke
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Cardiovascular Physiology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- DZHK (German Center for Cardiovascular Research), partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Beate K. Straub
- Institute of Pathology, University Medical Center of the Johannes Gutenberg‐University Mainz, Mainz, Germany
| | - Jens Mittler
- Department of General, Visceral, and Transplant Surgery, University Medical Center of the Johannes Gutenberg‐University Mainz, Mainz, Germany
| | - Kai Schledzewski
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Peter ten Dijke
- Oncode Institute, Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Karsten Richter
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Steven Dooley
- Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Cyrill Géraud
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Section of Clinical and Molecular Dermatology, Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sergij Goerdt
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Philipp‐Sebastian Koch
- Department of Dermatology, Venereology and Allergology, University Medical Center and Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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140
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Mukhopadhyay B, Holovac K, Schuebel K, Mukhopadhyay P, Cinar R, Iyer S, Marietta C, Goldman D, Kunos G. The endocannabinoid system promotes hepatocyte progenitor cell proliferation and maturation by modulating cellular energetics. Cell Death Discov 2023; 9:104. [PMID: 36966147 PMCID: PMC10039889 DOI: 10.1038/s41420-023-01400-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 03/27/2023] Open
Abstract
The proliferation and differentiation of hepatic progenitor cells (HPCs) drive the homeostatic renewal of the liver under diverse conditions. Liver regeneration is associated with an increase in Axin2+Cnr1+ HPCs, along with a marked increase in the levels of the endocannabinoid anandamide (AEA). But the molecular mechanism linking AEA signaling to HPC proliferation and/or differentiation has not been explored. Here, we show that in vitro exposure of HPCs to AEA triggers both cell cycling and differentiation along with increased expression of Cnr1, Krt19, and Axin2. Mechanistically, we found that AEA promotes the nuclear localization of the transcription factor β-catenin, with subsequent induction of its downstream targets. Systemic analyses of cells after CRISPR-mediated knockout of the β-catenin-regulated transcriptome revealed that AEA modulates β-catenin-dependent cell cycling and differentiation, as well as interleukin pathways. Further, we found that AEA promotes OXPHOS in HPCs when amino acids and glucose are readily available as substrates, but AEA inhibits it when the cells rely primarily on fatty acid oxidation. Thus, the endocannabinoid system promotes hepatocyte renewal and maturation by stimulating the proliferation of Axin2+Cnr1+ HPCs via the β-catenin pathways while modulating the metabolic activity of their precursor cells.
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Affiliation(s)
- Bani Mukhopadhyay
- Laboratory of Physiologic Studies, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
| | - Kellie Holovac
- Laboratory of Physiologic Studies, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Kornel Schuebel
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Partha Mukhopadhyay
- Laboratory of Cardiovascular Physiology and Tissue Injury, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Resat Cinar
- Laboratory of Physiologic Studies, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Sindhu Iyer
- Laboratory of Physiologic Studies, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Cheryl Marietta
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - David Goldman
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - George Kunos
- Laboratory of Physiologic Studies, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
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141
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Becker LM, Chen SH, Rodor J, de Rooij LPMH, Baker AH, Carmeliet P. Deciphering endothelial heterogeneity in health and disease at single-cell resolution: progress and perspectives. Cardiovasc Res 2023; 119:6-27. [PMID: 35179567 PMCID: PMC10022871 DOI: 10.1093/cvr/cvac018] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/16/2021] [Accepted: 02/16/2022] [Indexed: 11/14/2022] Open
Abstract
Endothelial cells (ECs) constitute the inner lining of vascular beds in mammals and are crucial for homeostatic regulation of blood vessel physiology, but also play a key role in pathogenesis of many diseases, thereby representing realistic therapeutic targets. However, it has become evident that ECs are heterogeneous, encompassing several subtypes with distinct functions, which makes EC targeting and modulation in diseases challenging. The rise of the new single-cell era has led to an emergence of studies aimed at interrogating transcriptome diversity along the vascular tree, and has revolutionized our understanding of EC heterogeneity from both a physiological and pathophysiological context. Here, we discuss recent landmark studies aimed at teasing apart the heterogeneous nature of ECs. We cover driving (epi)genetic, transcriptomic, and metabolic forces underlying EC heterogeneity in health and disease, as well as current strategies used to combat disease-enriched EC phenotypes, and propose strategies to transcend largely descriptive heterogeneity towards prioritization and functional validation of therapeutically targetable drivers of EC diversity. Lastly, we provide an overview of the most recent advances and hurdles in single EC OMICs.
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Affiliation(s)
| | | | | | | | - Andrew H Baker
- Corresponding authors. Tel: +32 16 32 62 47, E-mail: (P.C.); Tel: +44 (0)131 242 6774, E-mail: (A.H.B.)
| | - Peter Carmeliet
- Corresponding authors. Tel: +32 16 32 62 47, E-mail: (P.C.); Tel: +44 (0)131 242 6774, E-mail: (A.H.B.)
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142
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Golino JL, Wang X, Maeng HM, Xie C. Revealing the Heterogeneity of the Tumor Ecosystem of Cholangiocarcinoma through Single-Cell Transcriptomics. Cells 2023; 12:cells12060862. [PMID: 36980203 PMCID: PMC10047686 DOI: 10.3390/cells12060862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023] Open
Abstract
The prognosis of cholangiocarcinoma remains poor. The heterogeneity of the tumor ecosystem of cholangiocarcinoma plays a critical role in tumorigenesis and therapeutic resistance, thereby affecting the clinical outcome of patients with cholangiocarcinoma. Recent progress in single-cell RNA sequencing (scRNA-seq) has enabled detailed characterization of intratumoral stromal and malignant cells, which has vastly improved our understanding of the heterogeneity of various cell components in the tumor ecosystem of cholangiocarcinoma. It also provides an unprecedented view of the phenotypical and functional diversity in tumor and stromal cells including infiltrating immune cells. This review focuses on examining tumor heterogeneity and the interaction between various cellular components in the tumor ecosystem of cholangiocarcinoma derived from an scRNA-seq dataset, discussing limitations in current studies, and proposing future directions along with potential clinical applications.
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Affiliation(s)
- Jihye L. Golino
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20814, USA; (J.L.G.); (X.W.)
| | - Xin Wang
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20814, USA; (J.L.G.); (X.W.)
| | - Hoyoung M. Maeng
- Vaccine Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20814, USA;
| | - Changqing Xie
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20814, USA; (J.L.G.); (X.W.)
- Correspondence:
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143
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Baran Y, Doğan B. scMAGS: Marker gene selection from scRNA-seq data for spatial transcriptomics studies. Comput Biol Med 2023; 155:106634. [PMID: 36774895 DOI: 10.1016/j.compbiomed.2023.106634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 01/28/2023] [Accepted: 02/04/2023] [Indexed: 02/11/2023]
Abstract
Single-Cell RNA sequencing (scRNA-seq) has provided unprecedented opportunities for exploring gene expression and thus uncovering regulatory relationships between genes at the single-cell level. However, scRNA-seq relies on isolating cells from tissues. Therefore, the spatial context of the regulatory processes is lost. A recent technological innovation, spatial transcriptomics, allows for the measurement of gene expression while preserving spatial information. An initial step in the spatial transcriptomic analysis is to identify the cell type, which requires a careful selection of cell-specific marker genes. For this purpose, currently, scRNA-seq data is used to select a limited number of marker genes from among all genes that distinguish cell types from each other. This study proposes scMAGS (single-cell MArker Gene Selection), a novel method for marker gene selection from scRNA-seq data for spatial transcriptomics studies. scMAGS uses a filtering step in which the candidate genes are identified before the marker gene selection step. For the selection of marker genes, cluster validity indices, the Silhouette index, or the Calinski-Harabasz index (for large datasets) are utilized. Experimental results showed that, in comparison to the existing methods, scMAGS is scalable, fast, and accurate. Even for large datasets with millions of cells, scMAGS could find the required number of marker genes in a reasonable amount of time with fewer memory requirements. scMAGS is made freely available at https://github.com/doganlab/scmags and can be downloaded from the Python Package Directory (PyPI) software repository with the command pip install scmags.
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Affiliation(s)
- Yusuf Baran
- Department of Biomedical Engineering, Inonu University, Malatya, Turkey
| | - Berat Doğan
- Department of Biomedical Engineering, Inonu University, Malatya, Turkey.
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144
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Ho H, Means S, Safaei S, Hunter PJ. In silico modeling for the hepatic circulation and transport: From the liver organ to lobules. WIREs Mech Dis 2023; 15:e1586. [PMID: 36131627 DOI: 10.1002/wsbm.1586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 08/08/2022] [Accepted: 08/15/2022] [Indexed: 11/12/2022]
Abstract
The function of the liver depends critically on its blood supply. Numerous in silico models have been developed to study various aspects of the hepatic circulation, including not only the macro-hemodynamics at the organ level, but also the microcirculation at the lobular level. In addition, computational models of blood flow and bile flow have been used to study the transport, metabolism, and clearance of drugs in pharmacokinetic studies. These in silico models aim to provide insights into the liver organ function under both healthy and diseased states, and to assist quantitative analysis for surgical planning and postsurgery treatment. The purpose of this review is to provide an update on state-of-the-art in silico models of the hepatic circulation and transport processes. We introduce the numerical methods and the physiological background of these models. We also discuss multiscale frameworks that have been proposed for the liver, and their linkage with the large context of systems biology, systems pharmacology, and the Physiome project. This article is categorized under: Metabolic Diseases > Computational Models Metabolic Diseases > Biomedical Engineering Cardiovascular Diseases > Computational Models.
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Affiliation(s)
- Harvey Ho
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Shawn Means
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Soroush Safaei
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - Peter John Hunter
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
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145
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Yuan Z, Pan W, Zhao X, Zhao F, Xu Z, Li X, Zhao Y, Zhang MQ, Yao J. SODB facilitates comprehensive exploration of spatial omics data. Nat Methods 2023; 20:387-399. [PMID: 36797409 DOI: 10.1038/s41592-023-01773-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 01/06/2023] [Indexed: 02/18/2023]
Abstract
Spatial omics technologies generate wealthy but highly complex datasets. Here we present Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources and a suite of interactive data analytical modules. SODB currently maintains >2,400 experiments from >25 spatial omics technologies, which are freely accessible as a unified data format compatible with various computational packages. SODB also provides multiple interactive data analytical modules, especially a unique module, Spatial Omics View (SOView). We conduct comprehensive statistical analyses and illustrate the utility of both basic and advanced analytical modules using multiple spatial omics datasets. We demonstrate SOView utility with brain spatial transcriptomics data and recover known anatomical structures. We further delineate functional tissue domains with associated marker genes that were obscured when analyzed using previous methods. We finally show how SODB may efficiently facilitate computational method development. The SODB website is https://gene.ai.tencent.com/SpatialOmics/ . The command-line package is available at https://pysodb.readthedocs.io/en/latest/ .
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Affiliation(s)
- Zhiyuan Yuan
- Institute of Science and Technology for Brain-Inspired Intelligence; MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence; MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Tencent AI Lab, Shenzhen, China.
| | - Wentao Pan
- Tencent AI Lab, Shenzhen, China
- Shenzhen International Graduate School, Tsinghua University, Shenzen, China
| | | | - Fangyuan Zhao
- Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | | | - Xiu Li
- Shenzhen International Graduate School, Tsinghua University, Shenzen, China
| | - Yi Zhao
- Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Michael Q Zhang
- Department of Biological Sciences, Center for Systems Biology, The University of Texas, Richardson, TX, USA.
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146
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Xin J, Yang T, Wu X, Wu Y, Liu Y, Liu X, Jiang M, Gao W. Spatial transcriptomics analysis of zone-dependent hepatic ischemia-reperfusion injury murine model. Commun Biol 2023; 6:194. [PMID: 36804628 PMCID: PMC9938905 DOI: 10.1038/s42003-023-04564-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 02/06/2023] [Indexed: 02/19/2023] Open
Abstract
Hepatic ischemia-reperfusion (I/R) injury is a common complication in liver transplantation. The connection between I/R-induced injury response and liver heterogeneity has yet to be fully understood. In this study, we converge histopathological examination with spatial transcriptomics to dissect I/R injury patterns and their associated molecular changes, which reveal that the pericentral zones are most sensitive to I/R injury in terms of histology, transcriptomic changes, and cell type dynamics. Bioinformatic analysis of I/R injury-related pathways predicts that celastrol can protect against liver I/R injury by inducing ischemic pre-conditioning, which is experimentally validated. Mechanistically, celastrol likely implements its protective effect against I/R injury by activating HIF1α signaling and represents a potential strategy for resolving liver I/R.
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Affiliation(s)
- Jiaqi Xin
- School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China
| | - Ting Yang
- Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Xiaoyi Wu
- School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China
| | - Yingting Wu
- Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Yi Liu
- Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Xuan Liu
- School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China
| | - Mengxi Jiang
- Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China. .,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
| | - Wei Gao
- School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, China. .,Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
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147
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Robarts DR, Kotulkar M, Paine-Cabrera D, Venneman KK, Hanover JA, Zachara NE, Slawson C, Apte U. The Essential Role of O-GlcNAcylation in Hepatic Differentiation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.16.528884. [PMID: 36824917 PMCID: PMC9949138 DOI: 10.1101/2023.02.16.528884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
Background & Aims O-GlcNAcylation is a post-translational modification catalyzed by the enzyme O-GlcNAc transferase (OGT), which transfers a single N-acetylglucosamine sugar from UDP-GlcNAc to the protein on serine and threonine residues on proteins. Another enzyme, O-GlcNAcase (OGA), removes this modification. O-GlcNAcylation plays an important role in pathophysiology. Here, we report that O-GlcNAcylation is essential for hepatocyte differentiation, and chronic loss results in fibrosis and hepatocellular carcinoma. Methods Single-cell RNA-sequencing was used to investigate hepatocyte differentiation in hepatocyte-specific OGT-KO mice with increased hepatic O-GlcNAcylation and in OGA-KO mice with decreased O-GlcNAcylation in hepatocytes. HCC patient samples and the DEN-induced hepatocellular carcinoma (HCC) model were used to investigate the effect of modulation of O-GlcNAcylation on the development of liver cancer. Results Loss of hepatic O-GlcNAcylation resulted in disruption of liver zonation. Periportal hepatocytes were the most affected by loss of differentiation characterized by dysregulation of glycogen storage and glucose production. OGT-KO mice exacerbated DEN-induced HCC development with increased inflammation, fibrosis, and YAP signaling. Consistently, OGA-KO mice with increased hepatic O-GlcNAcylation inhibited DEN-induced HCC. A progressive loss of O-GlcNAcylation was observed in HCC patients. Conclusions Our study shows that O-GlcNAcylation is a critical regulator of hepatic differentiation, and loss of O-GlcNAcylation promotes hepatocarcinogenesis. These data highlight increasing O-GlcNAcylation as a potential therapy in chronic liver diseases, including HCC.
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Affiliation(s)
- Dakota R. Robarts
- Department of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Manasi Kotulkar
- Department of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Diego Paine-Cabrera
- Department of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA
| | - Kaitlyn K. Venneman
- Department of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA
| | - John A. Hanover
- Laboratory of Cell Biochemistry and Molecular Biology, NIDDK, NIH, Bethesda, MD, USA
| | - Natasha E. Zachara
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chad Slawson
- Department of Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansas City, KS, USA
| | - Udayan Apte
- Department of Pharmacology, Toxicology and Therapeutics, University of Kansas Medical Center, Kansas City, KS, USA
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148
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Huppert SS, Schwartz RE. Multiple Facets of Cellular Homeostasis and Regeneration of the Mammalian Liver. Annu Rev Physiol 2023; 85:469-493. [PMID: 36270290 PMCID: PMC9918695 DOI: 10.1146/annurev-physiol-032822-094134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Liver regeneration occurs in response to diverse injuries and is capable of functionally reestablishing the lost parenchyma. This phenomenon has been known since antiquity, encapsulated in the Greek myth where Prometheus was to be punished by Zeus for sharing the gift of fire with humanity by having an eagle eat his liver daily, only to have the liver regrow back, thus ensuring eternal suffering and punishment. Today, this process is actively leveraged clinically during living donor liver transplantation whereby up to a two-thirds hepatectomy (resection or removal of part of the liver) on a donor is used for transplant to a recipient. The donor liver rapidly regenerates to recover the lost parenchymal mass to form a functional tissue. This astonishing regenerative process and unique capacity of the liver are examined in further detail in this review.
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Affiliation(s)
- Stacey S Huppert
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA;
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Robert E Schwartz
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA;
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
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149
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Yang X, Batmanov K, Hu W, Zhu K, Tom AY, Guan D, Jiang C, Cheng L, McCright SJ, Yang EC, Lanza MR, Liu Y, Hill DA, Lazar MA. Hepatocytes demarcated by EphB2 contribute to the progression of nonalcoholic steatohepatitis. Sci Transl Med 2023; 15:eadc9653. [PMID: 36753562 PMCID: PMC10234568 DOI: 10.1126/scitranslmed.adc9653] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 01/09/2023] [Indexed: 02/10/2023]
Abstract
Current therapeutic strategies for treating nonalcoholic steatohepatitis (NASH) have failed to alleviate liver fibrosis, which is a devastating feature leading to hepatic dysfunction. Here, we integrated single-nucleus transcriptomics and epigenomics to characterize all major liver cell types during NASH development in mice and humans. The bifurcation of hepatocyte trajectory with NASH progression was conserved between mice and humans. At the nonalcoholic fatty liver (NAFL) stage, hepatocytes exhibited metabolic adaptation, whereas at the NASH stage, a subset of hepatocytes was enriched for the signatures of cell adhesion and migration, which were mainly demarcated by receptor tyrosine kinase ephrin type B receptor 2 (EphB2). EphB2, acting as a downstream effector of Notch signaling in hepatocytes, was sufficient to induce cell-autonomous inflammation. Knockdown of Ephb2 in hepatocytes ameliorated inflammation and fibrosis in a mouse model of NASH. Thus, EphB2-expressing hepatocytes contribute to NASH progression and may serve as a potential therapeutic target.
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Affiliation(s)
- Xiao Yang
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kirill Batmanov
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Wenxiang Hu
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Department of Basic Research, Guangzhou Laboratory, Guangdong 510005, China
| | - Kun Zhu
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Alexander Y. Tom
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Dongyin Guan
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chunjie Jiang
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lan Cheng
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Sam J. McCright
- Medical Scientist Training Program, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, PA19104, USA
- Division of Allergy and Immunology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104, USA
| | - Eric C. Yang
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew R. Lanza
- University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104, USA
| | - Yifan Liu
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - David A. Hill
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Allergy and Immunology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Immunology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104, USA
| | - Mitchell A. Lazar
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
- Lead Contact
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150
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Locally sourced: site-specific immune barriers to metastasis. Nat Rev Immunol 2023:10.1038/s41577-023-00836-2. [PMID: 36750616 PMCID: PMC9904275 DOI: 10.1038/s41577-023-00836-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2023] [Indexed: 02/09/2023]
Abstract
Tumour cells migrate very early from primary sites to distant sites, and yet metastases often take years to manifest themselves clinically or never even surface within a patient's lifetime. This pause in cancer progression emphasizes the existence of barriers that constrain the growth of disseminated tumour cells (DTCs) at distant sites. Although the nature of these barriers to metastasis might include DTC-intrinsic traits, recent studies have established that the local microenvironment also controls the formation of metastases. In this Perspective, I discuss how site-specific differences of the immune system might be a major selective growth restraint on DTCs, and argue that harnessing tissue immunity will be essential for the next stage in immunotherapy development that reliably prevents the establishment of metastases.
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