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Guedes JP, Boyer JB, Elurbide J, Carte B, Redeker V, Sago L, Meinnel T, Côrte-Real M, Giglione C, Aldabe R. NatB Protects Procaspase-8 from UBR4-Mediated Degradation and Is Required for Full Induction of the Extrinsic Apoptosis Pathway. Mol Cell Biol 2024:1-14. [PMID: 39099191 DOI: 10.1080/10985549.2024.2382453] [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: 03/19/2024] [Revised: 07/10/2024] [Accepted: 07/10/2024] [Indexed: 08/06/2024] Open
Abstract
N-terminal acetyltransferase B (NatB) is a major contributor to the N-terminal acetylome and is implicated in several key cellular processes including apoptosis and proteostasis. However, the molecular mechanisms linking NatB-mediated N-terminal acetylation to apoptosis and its relationship with protein homeostasis remain elusive. In this study, we generated mouse embryonic fibroblasts (MEFs) with an inactivated catalytic subunit of NatB (Naa20-/-) to investigate the impact of NatB deficiency on apoptosis regulation. Through quantitative N-terminomics, label-free quantification, and targeted proteomics, we demonstrated that NatB does not influence the proteostasis of all its substrates. Instead, our focus on putative NatB-dependent apoptotic factors revealed that NatB serves as a protective shield against UBR4 and UBR1 Arg/N-recognin-mediated degradation. Notably, Naa20-/- MEFs exhibited reduced responsiveness to an extrinsic pro-apoptotic stimulus, a phenotype that was partially reversible upon UBR4 Arg/N-recognin silencing and consequent inhibition of procaspase-8 degradation. Collectively, our results shed light on how the interplay between NatB-mediated acetylation and the Arg/N-degron pathway appears to impact apoptosis regulation, providing new perspectives in the field including in therapeutic interventions.
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Affiliation(s)
- Joana P Guedes
- CBMA/UM - Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Braga, Portugal
- Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Braga, Portugal
- CIMA/UNAV - Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, Pamplona, Spain
| | - Jean Baptiste Boyer
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France
| | - Jasmine Elurbide
- CIMA/UNAV - Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, Pamplona, Spain
| | - Beatriz Carte
- CIMA/UNAV - Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, Pamplona, Spain
| | - Virginie Redeker
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France
| | - Laila Sago
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France
| | - Thierry Meinnel
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France
| | - Manuela Côrte-Real
- CBMA/UM - Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Braga, Portugal
- Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Braga, Portugal
| | - Carmela Giglione
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France
| | - Rafael Aldabe
- CIMA/UNAV - Centro de Investigación Médica Aplicada (CIMA), Universidad de Navarra, Pamplona, Spain
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Grijaldo-Alvarez SJB, Alvarez MRS, Schindler RL, Oloumi A, Hernandez N, Seales T, Angeles JGC, Nacario RC, Completo GC, Zivkovic AM, Bruce German J, Lebrilla CB. N-Glycan profile of the cell membrane as a probe for lipopolysaccharide-induced microglial neuroinflammation uncovers the effects of common fatty acid supplementation. Food Funct 2024. [PMID: 39011570 DOI: 10.1039/d4fo01598c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Altered N-glycosylation of proteins on the cell membrane is associated with several neurodegenerative diseases. Microglia are an ideal model for studying glycosylation and neuroinflammation, but whether aberrant N-glycosylation in microglia can be restored by diet remains unknown. Herein, we profiled the N-glycome, proteome, and glycoproteome of the human microglia following lipopolysaccharide (LPS) induction to probe the impact of dietary and gut microbe-derived fatty acids-oleic acid, lauric acid, palmitic acid, valeric acid, butyric acid, isobutyric acid, and propionic acid-on neuroinflammation using liquid chromatography-tandem mass spectrometry. LPS changed N-glycosylation in the microglial glycocalyx altering high mannose and sialofucosylated N-glycans, suggesting the dysregulation of mannosidases, fucosyltransferases, and sialyltransferases. The results were consistent as we observed the restoration effect of the fatty acids, especially oleic acid, on the LPS-treated microglia, specifically on the high mannose and sialofucosylated glycoforms of translocon-associated proteins, SSRA and SSRB along with the cell surface proteins, CD63 and CD166. In addition, proteomic analysis and in silico modeling substantiated the potential of fatty acids in reverting the effects of LPS on microglial N-glycosylation. Our results showed that N-glycosylation is likely affected by diet by restoring alterations following LPS challenge, which may then influence the disease state.
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Affiliation(s)
- Sheryl Joyce B Grijaldo-Alvarez
- Department of Chemistry, University of California, Davis, 95616, USA.
- Institute of Chemistry, University of the Philippines Los Baños, Philippines, 4031.
| | | | | | - Armin Oloumi
- Department of Chemistry, University of California, Davis, 95616, USA.
| | - Noah Hernandez
- Department of Chemistry, University of California, Davis, 95616, USA.
| | - Tristan Seales
- Department of Chemistry, University of California, Davis, 95616, USA.
| | - Jorge Gil C Angeles
- Philippine Genome Center - Program for Agriculture, Livestock, Fisheries and Forestry, University of the Philippines Los Baños, Philippines, 4031.
| | - Ruel C Nacario
- Institute of Chemistry, University of the Philippines Los Baños, Philippines, 4031.
| | - Gladys C Completo
- Institute of Chemistry, University of the Philippines Los Baños, Philippines, 4031.
| | - Angela M Zivkovic
- Department of Nutrition, University of California, Davis, 95616, USA.
| | - J Bruce German
- Department of Food Science and Technology, University of California, Davis, 95616, USA.
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3
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Wang S, Li W, Wang L, Tiwari SK, Bray W, Wu L, Li N, Hui H, Clark AE, Zhang Q, Zhang L, Carlin AF, Rana TM. Interferon-Inducible Guanylate-Binding Protein 5 Inhibits Replication of Multiple Viruses by Binding to the Oligosaccharyltransferase Complex and Inhibiting Glycoprotein Maturation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.01.591800. [PMID: 38746287 PMCID: PMC11092618 DOI: 10.1101/2024.05.01.591800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Viral infection induces production of type I interferons and expression of interferon-stimulated genes (ISGs) that play key roles in inhibiting viral infection. Here, we show that the ISG guanylate-binding protein 5 (GBP5) inhibits N-linked glycosylation of key proteins in multiple viruses, including SARS-CoV-2 spike protein. GBP5 binds to accessory subunits of the host oligosaccharyltransferase (OST) complex and blocks its interaction with the spike protein, which results in misfolding and retention of spike protein in the endoplasmic reticulum likely due to decreased N-glycan transfer, and reduces the assembly and release of infectious virions. Consistent with these observations, pharmacological inhibition of the OST complex with NGI-1 potently inhibits glycosylation of other viral proteins, including MERS-CoV spike protein, HIV-1 gp160, and IAV hemagglutinin, and prevents the production of infectious virions. Our results identify a novel strategy by which ISGs restrict virus infection and provide a rationale for targeting glycosylation as a broad antiviral therapeutic strategy.
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Affiliation(s)
- Shaobo Wang
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
- These authors contributed equally to this work
| | - Wanyu Li
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
- These authors contributed equally to this work
| | - Lingling Wang
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Shashi Kant Tiwari
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - William Bray
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Lujing Wu
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Na Li
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Hui Hui
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Alex E. Clark
- Division of Infectious Diseases and Global Public Health, Department of Medicine; University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Qiong Zhang
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Lingzhi Zhang
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Aaron F. Carlin
- Division of Infectious Diseases and Global Public Health, Department of Medicine; University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
| | - Tariq M. Rana
- Division of Genetics, Department of Pediatrics, Program in Immunology, Bioinformatics and Systems Biology Program, Institute for Genomic Medicine, UCSD Center for AIDS Research, University of California San Diego, 9500 Gilman Drive MC 0762, La Jolla, California 92093, USA
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4
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Cabello AL, Wells K, Peng W, Feng HQ, Wang J, Meyer DF, Noroy C, Zhao ES, Zhang H, Li X, Chang H, Gomez G, Mao Y, Patrick KL, Watson RO, Russell WK, Yu A, Zhong J, Guo F, Li M, Zhou M, Qian X, Kobayashi KS, Song J, Panthee S, Mechref Y, Ficht TA, Qin QM, de Figueiredo P. Brucella-driven host N-glycome remodeling controls infection. Cell Host Microbe 2024; 32:588-605.e9. [PMID: 38531364 DOI: 10.1016/j.chom.2024.03.003] [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: 09/14/2022] [Revised: 08/28/2023] [Accepted: 03/06/2024] [Indexed: 03/28/2024]
Abstract
Many powerful methods have been employed to elucidate the global transcriptomic, proteomic, or metabolic responses to pathogen-infected host cells. However, the host glycome responses to bacterial infection remain largely unexplored, and hence, our understanding of the molecular mechanisms by which bacterial pathogens manipulate the host glycome to favor infection remains incomplete. Here, we address this gap by performing a systematic analysis of the host glycome during infection by the bacterial pathogen Brucella spp. that cause brucellosis. We discover, surprisingly, that a Brucella effector protein (EP) Rhg1 induces global reprogramming of the host cell N-glycome by interacting with components of the oligosaccharide transferase complex that controls N-linked protein glycosylation, and Rhg1 regulates Brucella replication and tissue colonization in a mouse model of brucellosis, demonstrating that Brucella exploits the EP Rhg1 to reprogram the host N-glycome and promote bacterial intracellular parasitism, thereby providing a paradigm for bacterial control of host cell infection.
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Affiliation(s)
- Ana-Lucia Cabello
- Department of Veterinary Pathobiology, Texas A&M University, College Station, TX 77843, USA; Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
| | - Kelsey Wells
- Christopher S. Bond Life Sciences Center, Department of Molecular Microbiology and Immunology, School of Medicine, The University of Missouri, Columbia, MO 65211, USA
| | - Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA
| | - Hui-Qiang Feng
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
| | - Junyao Wang
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA
| | - Damien F Meyer
- CIRAD, UMR ASTRE, 97170 Petit-Bourg, Guadeloupe, France; ASTRE, University Montpellier, CIRAD, INRAE, Montpellier, France
| | - Christophe Noroy
- CIRAD, UMR ASTRE, 97170 Petit-Bourg, Guadeloupe, France; ASTRE, University Montpellier, CIRAD, INRAE, Montpellier, France
| | - En-Shuang Zhao
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
| | - Hao Zhang
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
| | - Xueqing Li
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
| | - Haowu Chang
- College of Computer Science and Technology, Jilin University, Changchun 130012, China
| | - Gabriel Gomez
- Texas A&M Veterinary Medical Diagnostic Laboratory (TVMDL), Texas A&M University, College Station, TX 77843, USA
| | - Yuxin Mao
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853-2703, USA
| | - Kristin L Patrick
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
| | - Robert O Watson
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
| | - William K Russell
- Department of Biochemistry & Molecular Biology, University of Texas Medical Branch, Galveston, TX 77555-0635, USA
| | - Aiying Yu
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA
| | - Jieqiang Zhong
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA
| | - Fengguang Guo
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
| | - Mingqian Li
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 78843, USA
| | - Mingyuan Zhou
- Department of Information, Risk, and Operations Management, Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - Xiaoning Qian
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 78843, USA; TEES-AgriLife Center for Bioinformatics & Genomic Systems Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Koichi S Kobayashi
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA; Department of Immunology, Hokkaido University Graduate School of Medicine, Sapporo 060-8638, Japan; Hokkaido University, Institute for Vaccine Research and Development (HU-IVReD), Sapporo 060-8638, Japan
| | - Jianxun Song
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
| | - Suresh Panthee
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, Bryan, TX 77807, USA
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA.
| | - Thomas A Ficht
- Department of Veterinary Pathobiology, Texas A&M University, College Station, TX 77843, USA.
| | - Qing-Ming Qin
- Christopher S. Bond Life Sciences Center, Department of Molecular Microbiology and Immunology, School of Medicine, The University of Missouri, Columbia, MO 65211, USA.
| | - Paul de Figueiredo
- Christopher S. Bond Life Sciences Center, Department of Molecular Microbiology and Immunology, School of Medicine, The University of Missouri, Columbia, MO 65211, USA; Department of Veterinary Pathobiology, The University of Missouri, Columbia, MO 65211, USA.
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5
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Kas SM, Mundra PA, Smith DL, Marais R. Functional classification of DDOST variants of uncertain clinical significance in congenital disorders of glycosylation. Sci Rep 2023; 13:17648. [PMID: 37848450 PMCID: PMC10582084 DOI: 10.1038/s41598-023-42178-y] [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: 05/26/2023] [Accepted: 09/06/2023] [Indexed: 10/19/2023] Open
Abstract
Congenital disorders of glycosylation (CDG) are rare genetic disorders with a spectrum of clinical manifestations caused by abnormal N-glycosylation of secreted and cell surface proteins. Over 130 genes are implicated and next generation sequencing further identifies potential disease drivers in affected individuals. However, functional testing of these variants is challenging, making it difficult to distinguish pathogenic from non-pathogenic events. Using proximity labelling, we identified OST48 as a protein that transiently interacts with lysyl oxidase (LOX), a secreted enzyme that cross-links the fibrous extracellular matrix. OST48 is a non-catalytic component of the oligosaccharyltransferase (OST) complex, which transfers glycans to substrate proteins. OST48 is encoded by DDOST, and 43 variants of DDOST are described in CDG patients, of which 34 are classified as variants of uncertain clinical significance (VUS). We developed an assay based on LOX N-glycosylation that confirmed two previously characterised DDOST variants as pathogenic. Notably, 39 of the 41 remaining variants did not have impaired activity, but we demonstrated that p.S243F and p.E286del were functionally impaired, consistent with a role in driving CDG in those patients. Thus, we describe a rapid assay for functional testing of clinically relevant CDG variants to complement genome sequencing and support clinical diagnosis of affected individuals.
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Affiliation(s)
- Sjors M Kas
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK.
| | - Piyushkumar A Mundra
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK
| | - Duncan L Smith
- Biological Mass Spectrometry Unit, Cancer Research UK Manchester Institute, The University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK
| | - Richard Marais
- Molecular Oncology Group, Cancer Research UK Manchester Institute, The University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK.
- Oncodrug Ltd, Alderley Park, Macclesfield, Cheshire, SK10 4TG, UK.
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6
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Davyson E, Shen X, Gadd DA, Bernabeu E, Hillary RF, McCartney DL, Adams M, Marioni R, McIntosh AM. Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids. Biol Psychiatry 2023; 94:630-639. [PMID: 36764567 PMCID: PMC10804990 DOI: 10.1016/j.biopsych.2023.01.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 01/31/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND Metabolic differences have been reported between individuals with and without major depressive disorder (MDD), but their consistency and causal relevance have been unclear. METHODS We conducted a metabolome-wide association study of MDD with 249 metabolomic measures available in the UK Biobank (n = 29,757). We then applied two-sample bidirectional Mendelian randomization and colocalization analysis to identify potentially causal relationships between each metabolite and MDD. RESULTS A total of 191 metabolites tested were significantly associated with MDD (false discovery rate-corrected p < .05), which decreased to 129 after adjustment for likely confounders. Lower abundance of omega-3 fatty acid measures and a higher omega-6 to omega-3 ratio showed potentially causal effects on liability to MDD. There was no evidence of a causal effect of MDD on metabolite levels. Furthermore, genetic signals associated with docosahexaenoic acid colocalized with loci associated with MDD within the fatty acid desaturase gene cluster. Post hoc Mendelian randomization of gene-transcript abundance within the fatty acid desaturase cluster demonstrated a potentially causal association with MDD. In contrast, colocalization analysis did not suggest a single causal variant for both transcript abundance and MDD liability, but rather the likely existence of two variants in linkage disequilibrium with one another. CONCLUSIONS Our findings suggest that decreased docosahexaenoic acid and increased omega-6 to omega-3 fatty acids ratio may be causally related to MDD. These findings provide further support for the causal involvement of fatty acids in MDD.
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Affiliation(s)
- Eleanor Davyson
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom; Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Xueyi Shen
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Danni A Gadd
- Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Elena Bernabeu
- Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Robert F Hillary
- Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Daniel L McCartney
- Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Riccardo Marioni
- Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom; Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
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7
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Ye C, Ren S, Sadula A, Guo X, Yuan M, Meng M, Li G, Zhang X, Yuan C. The expression characteristics of transmembrane protein genes in pancreatic ductal adenocarcinoma through comprehensive analysis of bulk and single-cell RNA sequence. Front Oncol 2023; 13:1047377. [PMID: 37265785 PMCID: PMC10229874 DOI: 10.3389/fonc.2023.1047377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 05/02/2023] [Indexed: 06/03/2023] Open
Abstract
Background Transmembrane (TMEM) protein genes are a class of proteins that spans membranes and function to many physiological processes. However, there is very little known about TMEM gene expression, especially in cancer tissue. Using single-cell and bulk RNA sequence may facilitate the understanding of this poorly characterized protein genes in PDAC. Methods We selected the TMEM family genes through the Human Protein Atlas and characterized their expression by single-cell and bulk transcriptomic datasets. Identification of the key TMEM genes was performed through three machine learning algorithms: LASSO, SVM-RFE and RF-SRC. Then, we established TMEM gene riskscore and estimate its implication in predicting survival and response to systematic therapy. Additionally, we explored the difference and impact of TMEM gene expression in PDAC through immunohistochemistry and cell line research. Results 5 key TMEM genes (ANO1, TMEM59, TMEM204, TMEM205, TMEM92) were selected based on the single-cell analysis and machine learning survival outcomes. Patients stratified into the high and low-risk groups based on TMEM riskscore, were observed with distinct overall survival in internal and external datasets. Moreover, through bulk RNA-sequence and immunohistochemical staining we verified the protein expression of TMEM genes in PDAC and revealed TMEM92 as an essential regulator of pancreatic cancer cell proliferation, migration, and invasion. Conclusion Our study on TMEM gene expression and behavior in PDAC has revealed unique characteristics, offering potential for precise therapeutic approaches. Insights into molecular mechanisms expand understanding of PDAC complexity and TMEM gene roles. Such knowledge may inform targeted therapy development, benefiting patients.
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Affiliation(s)
- Chen Ye
- Department of General Surgery, Peking University Third Hospital, Beijing, China
- Department of Hepatobiliary surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Siqian Ren
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | | | - Xin Guo
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Meng Yuan
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Meng Meng
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Gang Li
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Xiaowei Zhang
- Department of Hematology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chunhui Yuan
- Department of General Surgery, Peking University Third Hospital, Beijing, China
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8
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Kong L, Pokatayev V, Lefkovith A, Carter GT, Creasey EA, Krishna C, Subramanian S, Kochar B, Ashenberg O, Lau H, Ananthakrishnan AN, Graham DB, Deguine J, Xavier RJ. The landscape of immune dysregulation in Crohn's disease revealed through single-cell transcriptomic profiling in the ileum and colon. Immunity 2023; 56:444-458.e5. [PMID: 36720220 PMCID: PMC9957882 DOI: 10.1016/j.immuni.2023.01.002] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 11/14/2022] [Accepted: 01/06/2023] [Indexed: 01/31/2023]
Abstract
Crohn's disease (CD) is a chronic gastrointestinal disease that is increasing in prevalence worldwide. CD is multifactorial, involving the complex interplay of genetic, immune, and environmental factors, necessitating a system-level understanding of its etiology. To characterize cell-type-specific transcriptional heterogeneity in active CD, we profiled 720,633 cells from the terminal ileum and colon of 71 donors with varying inflammation status. Our integrated datasets revealed organ- and compartment-specific responses to acute and chronic inflammation; most immune changes were in cell composition, whereas transcriptional changes dominated among epithelial and stromal cells. These changes correlated with endoscopic inflammation, but small and large intestines exhibited distinct responses, which were particularly apparent when focusing on IBD risk genes. Finally, we mapped markers of disease-associated myofibroblast activation and identified CHMP1A, TBX3, and RNF168 as regulators of fibrotic complications. Altogether, our results provide a roadmap for understanding cell-type- and organ-specific differences in CD and potential directions for therapeutic development.
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Affiliation(s)
- Lingjia Kong
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Vladislav Pokatayev
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ariel Lefkovith
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Grace T Carter
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Elizabeth A Creasey
- Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Chirag Krishna
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Sathish Subramanian
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Bharati Kochar
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Orr Ashenberg
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Helena Lau
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ashwin N Ananthakrishnan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Daniel B Graham
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jacques Deguine
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA 02114, USA.
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9
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Levchenko A, Plotnikova M. Genomic regulatory sequences in the pathogenesis of bipolar disorder. Front Psychiatry 2023; 14:1115924. [PMID: 36824672 PMCID: PMC9941178 DOI: 10.3389/fpsyt.2023.1115924] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 01/23/2023] [Indexed: 02/10/2023] Open
Abstract
The lifetime prevalence of bipolar disorder is estimated to be about 2%. Epigenetics defines regulatory mechanisms that determine relatively stable patterns of gene expression by controlling all key steps, from DNA to messenger RNA to protein. This Mini Review highlights recent discoveries of modified epigenetic control resulting from genetic variants associated with bipolar disorder in genome-wide association studies. The revealed epigenetic abnormalities implicate gene transcription and post-transcriptional regulation. In the light of these discoveries, the Mini Review focuses on the genes PACS1, MCHR1, DCLK3, HAPLN4, LMAN2L, TMEM258, GNL3, LRRC57, CACNA1C, CACNA1D, and NOVA2 and their potential biological role in the pathogenesis of bipolar disorder. Molecular mechanisms under control of these genes do not translate into a unified picture and substantially more research is needed to fill the gaps in knowledge and to solve current limitations in prognosis and treatment of bipolar disorder. In conclusion, the genetic and functional studies confirm the complex nature of bipolar disorder and indicate future research directions to explore possible targeted treatment options, eventually working toward a personalized approach.
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Affiliation(s)
- Anastasia Levchenko
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Maria Plotnikova
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Center for Genetics and Life Science, Sirius University of Science and Technology, Sochi, Russia
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10
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Evolutionary Conserved Short Linear Motifs Provide Insights into the Cellular Response to Stress. Antioxidants (Basel) 2022; 12:antiox12010096. [PMID: 36670957 PMCID: PMC9854524 DOI: 10.3390/antiox12010096] [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: 08/24/2022] [Revised: 11/22/2022] [Accepted: 12/22/2022] [Indexed: 01/03/2023] Open
Abstract
Short linear motifs (SLiMs) are evolutionarily conserved functional modules of proteins composed of 3 to 10 residues and involved in multiple cellular functions. Here, we performed a search for SLiMs that exert sequence similarity to two segments of alpha-fetoprotein (AFP), a major mammalian embryonic and cancer-associated protein. Biological activities of the peptides, LDSYQCT (AFP14-20) and EMTPVNPGV (GIP-9), have been previously confirmed under in vitro and in vivo conditions. In our study, we retrieved a vast array of proteins that contain SLiMs of interest from both prokaryotic and eukaryotic species, including viruses, bacteria, archaea, invertebrates, and vertebrates. Comprehensive Gene Ontology enrichment analysis showed that proteins from multiple functional classes, including enzymes, transcription factors, as well as those involved in signaling, cell cycle, and quality control, and ribosomal proteins were implicated in cellular adaptation to environmental stress conditions. These include response to oxidative and metabolic stress, hypoxia, DNA and RNA damage, protein degradation, as well as antimicrobial, antiviral, and immune response. Thus, our data enabled insights into the common functions of SLiMs evolutionary conserved across all taxonomic categories. These SLiMs can serve as important players in cellular adaptation to stress, which is crucial for cell functioning.
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11
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Liu L, Khan A, Sanchez-Rodriguez E, Zanoni F, Li Y, Steers N, Balderes O, Zhang J, Krithivasan P, LeDesma RA, Fischman C, Hebbring SJ, Harley JB, Moncrieffe H, Kottyan LC, Namjou-Khales B, Walunas TL, Knevel R, Raychaudhuri S, Karlson EW, Denny JC, Stanaway IB, Crosslin D, Rauen T, Floege J, Eitner F, Moldoveanu Z, Reily C, Knoppova B, Hall S, Sheff JT, Julian BA, Wyatt RJ, Suzuki H, Xie J, Chen N, Zhou X, Zhang H, Hammarström L, Viktorin A, Magnusson PKE, Shang N, Hripcsak G, Weng C, Rundek T, Elkind MSV, Oelsner EC, Barr RG, Ionita-Laza I, Novak J, Gharavi AG, Kiryluk K. Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits. Nat Commun 2022; 13:6859. [PMID: 36369178 PMCID: PMC9651905 DOI: 10.1038/s41467-022-34456-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 10/25/2022] [Indexed: 11/13/2022] Open
Abstract
Immunoglobulin A (IgA) mediates mucosal responses to food antigens and the intestinal microbiome and is involved in susceptibility to mucosal pathogens, celiac disease, inflammatory bowel disease, and IgA nephropathy. We performed a genome-wide association study of serum IgA levels in 41,263 individuals of diverse ancestries and identified 20 genome-wide significant loci, including 9 known and 11 novel loci. Co-localization analyses with expression QTLs prioritized candidate genes for 14 of 20 significant loci. Most loci encoded genes that produced immune defects and IgA abnormalities when genetically manipulated in mice. We also observed positive genetic correlations of serum IgA levels with IgA nephropathy, type 2 diabetes, and body mass index, and negative correlations with celiac disease, inflammatory bowel disease, and several infections. Mendelian randomization supported elevated serum IgA as a causal factor in IgA nephropathy. African ancestry was consistently associated with higher serum IgA levels and greater frequency of IgA-increasing alleles compared to other ancestries. Our findings provide novel insights into the genetic regulation of IgA levels and its potential role in human disease.
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Affiliation(s)
- Lili Liu
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Atlas Khan
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Elena Sanchez-Rodriguez
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Francesca Zanoni
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Yifu Li
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Nicholas Steers
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Olivia Balderes
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Junying Zhang
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Priya Krithivasan
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Robert A. LeDesma
- grid.16750.350000 0001 2097 5006Lewis Thomas Laboratory, Department of Molecular Biology, Princeton University, Princeton, NJ USA
| | - Clara Fischman
- grid.25879.310000 0004 1936 8972Department of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Scott J. Hebbring
- grid.280718.40000 0000 9274 7048Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, WI USA
| | - John B. Harley
- grid.239573.90000 0000 9025 8099Center of Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital, Cincinnati, OH USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH USA ,grid.413848.20000 0004 0420 2128US Department of Veterans Affairs Medical Center, Cincinnati, OH USA
| | - Halima Moncrieffe
- grid.239573.90000 0000 9025 8099Center of Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital, Cincinnati, OH USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH USA
| | - Leah C. Kottyan
- grid.239573.90000 0000 9025 8099Center of Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital, Cincinnati, OH USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH USA
| | - Bahram Namjou-Khales
- grid.239573.90000 0000 9025 8099Center of Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital, Cincinnati, OH USA ,grid.24827.3b0000 0001 2179 9593Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH USA
| | - Theresa L. Walunas
- grid.16753.360000 0001 2299 3507Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL USA
| | - Rachel Knevel
- grid.62560.370000 0004 0378 8294Division of Rheumatology, Immunology and Allergy, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Soumya Raychaudhuri
- grid.62560.370000 0004 0378 8294Division of Rheumatology, Immunology and Allergy, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Elizabeth W. Karlson
- grid.62560.370000 0004 0378 8294Division of Rheumatology, Immunology and Allergy, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Joshua C. Denny
- grid.152326.10000 0001 2264 7217Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN USA
| | - Ian B. Stanaway
- grid.34477.330000000122986657Kidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA USA
| | - David Crosslin
- grid.34477.330000000122986657Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA USA
| | - Thomas Rauen
- grid.1957.a0000 0001 0728 696XDepartment of Nephrology, RWTH University of Aachen, Aachen, Germany
| | - Jürgen Floege
- grid.1957.a0000 0001 0728 696XDepartment of Nephrology, RWTH University of Aachen, Aachen, Germany
| | - Frank Eitner
- grid.1957.a0000 0001 0728 696XDepartment of Nephrology, RWTH University of Aachen, Aachen, Germany ,grid.420044.60000 0004 0374 4101Kidney Diseases Research, Bayer Pharma AG, Wuppertal, Germany
| | - Zina Moldoveanu
- grid.265892.20000000106344187Department of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Colin Reily
- grid.265892.20000000106344187Department of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Barbora Knoppova
- grid.265892.20000000106344187Department of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Stacy Hall
- grid.265892.20000000106344187Department of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Justin T. Sheff
- grid.265892.20000000106344187Department of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Bruce A. Julian
- grid.265892.20000000106344187Department of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Robert J. Wyatt
- grid.267301.10000 0004 0386 9246Division of Pediatric Nephrology, University of Tennessee Health Sciences Center, Memphis, TN USA
| | - Hitoshi Suzuki
- grid.258269.20000 0004 1762 2738Department of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan
| | - Jingyuan Xie
- grid.16821.3c0000 0004 0368 8293Department of Nephrology, Institute of Nephrology, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nan Chen
- grid.16821.3c0000 0004 0368 8293Department of Nephrology, Institute of Nephrology, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xujie Zhou
- grid.11135.370000 0001 2256 9319Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Hong Zhang
- grid.11135.370000 0001 2256 9319Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China
| | - Lennart Hammarström
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Alexander Viktorin
- grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Patrik K. E. Magnusson
- grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ning Shang
- grid.21729.3f0000000419368729Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - George Hripcsak
- grid.21729.3f0000000419368729Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Chunhua Weng
- grid.21729.3f0000000419368729Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Tatjana Rundek
- grid.26790.3a0000 0004 1936 8606Department of Neurology, University of Miami, Miami, FL USA ,grid.26790.3a0000 0004 1936 8606Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL USA
| | - Mitchell S. V. Elkind
- grid.21729.3f0000000419368729Department of Neurology, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Elizabeth C. Oelsner
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - R. Graham Barr
- grid.21729.3f0000000419368729Division of General Medicine, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA ,grid.21729.3f0000000419368729Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY USA
| | - Iuliana Ionita-Laza
- grid.21729.3f0000000419368729Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY USA
| | - Jan Novak
- grid.265892.20000000106344187Department of Microbiology and Medicine, University of Alabama at Birmingham, Birmingham, AL USA
| | - Ali G. Gharavi
- grid.21729.3f0000000419368729Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA.
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12
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Jelinsky SA, Derksen M, Bauman E, Verissimo CS, van Dooremalen WTM, Roos JL, Higuera Barón C, Caballero-Franco C, Johnson BG, Rooks MG, Pott J, Oldenburg B, Vries RGJ, Boj SF, Kasaian MT, Pourfarzad F, Rosadini CV. Molecular and Functional Characterization of Human Intestinal Organoids and Monolayers for Modeling Epithelial Barrier. Inflamm Bowel Dis 2022; 29:195-206. [PMID: 36356046 PMCID: PMC9890212 DOI: 10.1093/ibd/izac212] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Patient-derived organoid (PDO) models offer potential to transform drug discovery for inflammatory bowel disease (IBD) but are limited by inconsistencies with differentiation and functional characterization. We profiled molecular and cellular features across a range of intestinal organoid models and examined differentiation and establishment of a functional epithelial barrier. METHODS Patient-derived organoids or monolayers were generated from control or IBD patient-derived colon or ileum and were molecularly or functionally profiled. Biological or technical replicates were examined for transcriptional responses under conditions of expansion or differentiation. Cell-type composition was determined by deconvolution of cell-associated gene signatures and histological features. Differentiated control or IBD-derived monolayers were examined for establishment of transepithelial electrical resistance (TEER), loss of barrier integrity in response to a cocktail of interferon (IFN)-γ and tumor necrosis factor (TNF)-α, and prevention of cytokine-induced barrier disruption by the JAK inhibitor, tofacitinib. RESULTS In response to differentiation media, intestinal organoids and monolayers displayed gene expression patterns consistent with maturation of epithelial cell types found in the human gut. Upon differentiation, both colon- and ileum-derived monolayers formed functional barriers, with sustained TEER. Barrier integrity was compromised by inflammatory cytokines IFN-γ and TNF-α, and damage was inhibited in a dose-dependent manner by tofacitinib. CONCLUSIONS We describe the generation and characterization of human colonic or ileal organoid models capable of functional differentiation to mature epithelial cell types. In monolayer culture, these cells formed a robust epithelial barrier with sustained TEER and responses to pharmacological modulation. Our findings demonstrate that control and IBD patient-derived organoids possess consistent transcriptional and functional profiles that can enable development of epithelial-targeted therapies.
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Affiliation(s)
| | | | - Eric Bauman
- Pfizer Worldwide Research, Development, and Medical, Cambridge, MA, USA
| | | | | | | | | | | | - Bryce G Johnson
- Pfizer Worldwide Research, Development, and Medical, Cambridge, MA, USA
| | - Michelle G Rooks
- Pfizer Worldwide Research, Development, and Medical, Cambridge, MA, USA
| | | | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht, the Netherlands
| | | | | | - Marion T Kasaian
- Pfizer Worldwide Research, Development, and Medical, Cambridge, MA, USA
| | | | - Charles V Rosadini
- Address correspondence to: Charles V. Rosadini, PhD, Inflammation and Immunology, Research Unit, Pfizer Worldwide Research, Development, and Medical, 1 Portland Street, Cambridge, MA, 02139, USA ()
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13
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Temprano-Sagrera G, Sitlani CM, Bone WP, Martin-Bornez M, Voight BF, Morrison AC, Damrauer SM, de Vries PS, Smith NL, Sabater-Lleal M. Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations. J Thromb Haemost 2022; 20:1331-1349. [PMID: 35285134 PMCID: PMC9314075 DOI: 10.1111/jth.15698] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/15/2022] [Accepted: 03/08/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes. OBJECTIVES To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events. METHODS Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10-9 obtained after applying Bonferroni correction for the number of multi-trait combinations performed (n = 27). RESULTS Across the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes. CONCLUSIONS The discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.
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Affiliation(s)
- Gerard Temprano-Sagrera
- Genomics of Complex Disease Unit, Sant Pau Biomedical Research Institute. IIB-Sant Pau, Barcelona, Spain
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - William P Bone
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Miguel Martin-Bornez
- Genomics of Complex Disease Unit, Sant Pau Biomedical Research Institute. IIB-Sant Pau, Barcelona, Spain
| | - Benjamin F Voight
- Department of Systems Pharmacology and Translational Therapeutics and Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Institute of Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Scott M Damrauer
- Department of Surgery and Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente, Seattle, Washington, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, Washington, USA
| | - Maria Sabater-Lleal
- Genomics of Complex Disease Unit, Sant Pau Biomedical Research Institute. IIB-Sant Pau, Barcelona, Spain
- Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
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14
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Brazil JC, Parkos CA. Finding the sweet spot: glycosylation mediated regulation of intestinal inflammation. Mucosal Immunol 2022; 15:211-222. [PMID: 34782709 PMCID: PMC8591159 DOI: 10.1038/s41385-021-00466-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 10/11/2021] [Accepted: 10/14/2021] [Indexed: 02/04/2023]
Abstract
Glycans are essential cellular components that facilitate a range of critical functions important for tissue development and mucosal homeostasis. Furthermore, specific alterations in glycosylation represent important diagnostic hallmarks of cancer that contribute to tumor cell dissociation, invasion, and metastasis. However, much less is known about how glycosylation contributes to the pathobiology of inflammatory mucosal diseases. Here we will review how epithelial and immune cell glycosylation regulates gut homeostasis and how inflammation-driven changes in glycosylation contribute to intestinal pathobiology.
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Affiliation(s)
- Jennifer C. Brazil
- grid.214458.e0000000086837370Department of Pathology, University of Michigan, Ann Arbor, MI 48109 USA
| | - Charles A. Parkos
- grid.214458.e0000000086837370Department of Pathology, University of Michigan, Ann Arbor, MI 48109 USA
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15
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Gialluisi A, Santoro A, Tirozzi A, Cerletti C, Donati MB, de Gaetano G, Franceschi C, Iacoviello L. Epidemiological and genetic overlap among biological aging clocks: New challenges in biogerontology. Ageing Res Rev 2021; 72:101502. [PMID: 34700008 DOI: 10.1016/j.arr.2021.101502] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 01/09/2023]
Abstract
Estimators of biological age (BA) - defined as the hypothetical underlying age of an organism - have attracted more and more attention in the last years, especially after the advent of new algorithms based on machine learning and genetic markers. While different aging clocks reportedly predict mortality in the general population, very little is known on their overlap. Here we review the evidence reported so far to support the existence of a partial overlap among different BA acceleration estimators, both from an epidemiological and a genetic perspective. On the epidemiological side, we review evidence supporting shared and independent influence on mortality risk of different aging clocks - including telomere length, brain, blood and epigenetic aging - and provide an overview of how an important exposure like diet may affect the different aging systems. On the genetic side, we apply linkage disequilibrium score regression analyses to support the existence of partly shared genomic overlap among these aging clocks. Through multivariate analysis of published genetic associations with these clocks, we also identified the most associated variants, genes, and pathways, which may affect common mechanisms underlying biological aging of different systems within the body. Based on our analyses, the most implicated pathways were involved in inflammation, lipid and carbohydrate metabolism, suggesting them as potential molecular targets for future anti-aging interventions. Overall, this review is meant as a contribution to the knowledge on the overlap of aging clocks, trying to clarify their shared biological basis and epidemiological implications.
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Affiliation(s)
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna 40126, Italy
| | - Alfonsina Tirozzi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | - Chiara Cerletti
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy
| | | | | | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy; Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy; Department of Medicine and Surgery, University of Insubria, Varese, Italy
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16
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Coupled protein synthesis and ribosome-guided piRNA processing on mRNAs. Nat Commun 2021; 12:5970. [PMID: 34645830 PMCID: PMC8514520 DOI: 10.1038/s41467-021-26233-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/17/2021] [Indexed: 12/16/2022] Open
Abstract
PIWI-interacting small RNAs (piRNAs) protect the germline genome and are essential for fertility. piRNAs originate from transposable element (TE) RNAs, long non-coding RNAs, or 3´ untranslated regions (3´UTRs) of protein-coding messenger genes, with the last being the least characterized of the three piRNA classes. Here, we demonstrate that the precursors of 3´UTR piRNAs are full-length mRNAs and that post-termination 80S ribosomes guide piRNA production on 3´UTRs in mice and chickens. At the pachytene stage, when other co-translational RNA surveillance pathways are sequestered, piRNA biogenesis degrades mRNAs right after pioneer rounds of translation and fine-tunes protein production from mRNAs. Although 3´UTR piRNA precursor mRNAs code for distinct proteins in mice and chickens, they all harbor embedded TEs and produce piRNAs that cleave TEs. Altogether, we discover a function of the piRNA pathway in fine-tuning protein production and reveal a conserved piRNA biogenesis mechanism that recognizes translating RNAs in amniotes.
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Zhang C, Zhang TX, Liu Y, Jia D, Zeng P, Du C, Yuan M, Liu Q, Wang Y, Shi FD. B-Cell Compartmental Features and Molecular Basis for Therapy in Autoimmune Disease. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/6/e1070. [PMID: 34465614 PMCID: PMC8409132 DOI: 10.1212/nxi.0000000000001070] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/21/2021] [Indexed: 11/16/2022]
Abstract
Background and Objectives To assess the molecular landscape of B-cell subpopulations across different compartments in patients with neuromyelitis optica spectrum disorder (NMOSD). Methods We performed B-cell transcriptomic profiles via single-cell RNA sequencing across CSF, blood, and bone marrow in patients with NMOSD. Results Across the tissue types tested, 4 major subpopulations of B cells with distinct signatures were identified: naive B cells, memory B cells, age-associated B cells, and antibody-secreting cells (ASCs). NMOSD B cells show proinflammatory activity and increased expression of chemokine receptor genes (CXCR3 and CXCR4). Circulating B cells display an increase of antigen presentation markers (CD40 and CD83), as well as activation signatures (FOS, CD69, and JUN). In contrast, the bone marrow B-cell population contains a large ASC fraction with increased oxidative and metabolic activity reflected by COX genes and ATP synthase genes. Typically, NMOSD B cells become hyperresponsive to type I interferon, which facilitates B-cell maturation and anti–aquaporin-4 autoantibody production. The pool of ASCs in blood and CSF were significantly elevated in NMOSD. Both CD19− and CD19+ ASCs could be ablated by tocilizumab, but not rituximab treatment in NMOSD. Discussion B cells are compartmentally fine tuned toward autoreactivity in NMOSD and become hyperreactive to type I interferon. Inhibition of type I interferon pathway may provide a new therapeutic avenue for NMOSD.
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Affiliation(s)
- Chao Zhang
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Tian-Xiang Zhang
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Ye Liu
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Dongmei Jia
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Pei Zeng
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Chen Du
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China.
| | - Meng Yuan
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Qiang Liu
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Yongjun Wang
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China
| | - Fu-Dong Shi
- From the China National Clinical Research Center for Neurological Diseases (C.Z., Y.W., F.-D.S.), Beijing Tiantan Hospital, Capital Medical University; and Department of Neurology (C.Z., T.-X.Z., Y.L., D.J., P.Z., C.D., M.Y., Q.L., F.-D.S.), Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin Medical University, China.
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18
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Azizian-Farsani F, Osuchowski M, Abedpoor N, Forootan FS, Derakhshan M, Nasr-Esfahani MH, Sheikhha MH, Ghaedi K. Anti-inflammatory and -apoptotic effects of a long-term herbal extract treatment on DSS-induced colitis in mice fed with high AGEs-fat diet. Nutr Metab (Lond) 2021; 18:77. [PMID: 34380504 PMCID: PMC8359107 DOI: 10.1186/s12986-021-00603-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/23/2021] [Indexed: 01/11/2023] Open
Abstract
Background Obesity is associated with many comorbidities including inflammatory bowel disease (IBD). We investigated prophylactic effects of an herbal extract (HE) on the DSS-induced colitis mice challenged with high AGEs-fat diet 60% (HFD). Methods Six-week-old C57BL/6 male mice were fed with either HFD (8 groups, 6 mice in each group), or normal diet (ND) (8 groups, 6 mice in each group). After 6 weeks, animals received HE (combination of turmeric, ginger, boswellia and cat’s claw extract) for 7 weeks in three doses (high dose (0.6 mg/g); low dose (0.15 mg/g) and mid dose (0.3 mg/g)). Next, mice were subjected to 2.5% DSS in drinking water. Control mice received ND and instead of HE and DSS they received distilled water. Obesity index markers were determined, H&E staining and TUNEL assay evaluated apoptosis. Colonic expressions of IL-6, RAGE, AGER1, Sirt1, Bax, Bcl2, ZO-1 and P53 were determined.
Results HE ameliorated colitis in HFD mice by reducing colonic myeloperoxidase activity (by 2.3-fold), macrophage accumulation (by 2.6-fold) and mRNA expression of IL-6 (by 2.3-fold) in HFD mice. Moreover, HE restored ZO-1 (by 2.7-fold), prevented apoptosis and maintained immune homeostasis. HE reduced activation of NF-κB protein (by 1.3-fold) through decreasing RAGE (by 1.93-fold) and up-regulation of Sirt1 (by 7.71-fold) and prevented down-regulation of DDOST (by 6.6-fold) in HFD mice. Conclusions HE ameliorated colitis in prophylactic in HFD mice and it was, at least partly, due to the restoration of the gut integrity, suppression of inflammation and apoptosis via modulation of colonic Sirt1, RAGE and DDOST signaling. Graphic abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s12986-021-00603-x.
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Affiliation(s)
| | - Marcin Osuchowski
- Ludwig Boltzmann Institute for Clinical and Experimental Traumatology in AUVA Research Center, Vienna, Austria.
| | - Navid Abedpoor
- Department of Cellular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Royan, Salman Streets, 816513-1378, Isfahan, Iran
| | - Farzad Seyed Forootan
- Department of Cellular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Royan, Salman Streets, 816513-1378, Isfahan, Iran.,Legal Medicine research Center, Legal Medicine Organization, Tehran, Iran
| | - Maryam Derakhshan
- Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Hossein Nasr-Esfahani
- Department of Cellular Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Royan, Salman Streets, 816513-1378, Isfahan, Iran.
| | - Mohammad Hasan Sheikhha
- Department of Medical Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. .,Biotechnology Research Center, International Campus, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Kamran Ghaedi
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Hezar Jerib Ave., Azadi Sq., 81746-73441, Isfahan, Iran.
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You K, Wang L, Chou CH, Liu K, Nakata T, Jaiswal A, Yao J, Lefkovith A, Omar A, Perrigoue JG, Towne JE, Regev A, Graham DB, Xavier RJ. QRICH1 dictates the outcome of ER stress through transcriptional control of proteostasis. Science 2021; 371:371/6524/eabb6896. [PMID: 33384352 DOI: 10.1126/science.abb6896] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 09/17/2020] [Accepted: 11/02/2020] [Indexed: 12/15/2022]
Abstract
Tissue homeostasis is perturbed in a diversity of inflammatory pathologies. These changes can elicit endoplasmic reticulum (ER) stress, protein misfolding, and cell death. ER stress triggers the unfolded protein response (UPR), which can promote recovery of ER proteostasis and cell survival or trigger programmed cell death. Here, we leveraged single-cell RNA sequencing to define dynamic transcriptional states associated with the adaptive versus terminal UPR in the mouse intestinal epithelium. We integrated these transcriptional programs with genome-scale CRISPR screening to dissect the UPR pathway functionally. We identified QRICH1 as a key effector of the PERK-eIF2α axis of the UPR. QRICH1 controlled a transcriptional program associated with translation and secretory networks that were specifically up-regulated in inflammatory pathologies. Thus, QRICH1 dictates cell fate in response to pathological ER stress.
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Affiliation(s)
- Kwontae You
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lingfei Wang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Kai Liu
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Toru Nakata
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alok Jaiswal
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Junmei Yao
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Abdifatah Omar
- Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | | | - Aviv Regev
- Klarman Cell Observatory, Broad Institute, Cambridge, MA, USA. .,Howard Hughes Medical Institute, Department of Biology, MIT, Cambridge, MA, USA
| | - Daniel B Graham
- Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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20
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Feofanova EV, Chen H, Dai Y, Jia P, Grove ML, Morrison AC, Qi Q, Daviglus M, Cai J, North KE, Laurie CC, Kaplan RC, Boerwinkle E, Yu B. A Genome-wide Association Study Discovers 46 Loci of the Human Metabolome in the Hispanic Community Health Study/Study of Latinos. Am J Hum Genet 2020; 107:849-863. [PMID: 33031748 PMCID: PMC7675000 DOI: 10.1016/j.ajhg.2020.09.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 09/10/2020] [Indexed: 02/08/2023] Open
Abstract
Variation in levels of the human metabolome reflect changes in homeostasis, providing a window into health and disease. The genetic impact on circulating metabolites in Hispanics, a population with high cardiometabolic disease burden, is largely unknown. We conducted genome-wide association analyses on 640 circulating metabolites in 3,926 Hispanic Community Health Study/Study of Latinos participants. The estimated heritability for 640 metabolites ranged between 0%-54% with a median at 2.5%. We discovered 46 variant-metabolite pairs (p value < 1.2 × 10-10, minor allele frequency ≥ 1%, proportion of variance explained [PEV] mean = 3.4%, PEVrange = 1%-22%) with generalized effects in two population-based studies and confirmed 301 known locus-metabolite associations. Half of the identified variants with generalized effect were located in genes, including five nonsynonymous variants. We identified co-localization with the expression quantitative trait loci at 105 discovered and 151 known loci-metabolites sets. rs5855544, upstream of SLC51A, was associated with higher levels of three steroid sulfates and co-localized with expression levels of SLC51A in several tissues. Mendelian randomization (MR) analysis identified several metabolites associated with coronary heart disease (CHD) and type 2 diabetes. For example, two variants located in or near CYP4F2 (rs2108622 and rs79400241, respectively), involved in vitamin E metabolism, were associated with the levels of octadecanedioate and vitamin E metabolites (gamma-CEHC and gamma-CEHC glucuronide); MR analysis showed that genetically high levels of these metabolites were associated with lower odds of CHD. Our findings document the genetic architecture of circulating metabolites in an underrepresented Hispanic/Latino community, shedding light on disease etiology.
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Affiliation(s)
- Elena V Feofanova
- Human Genetics Center, University of Texas Health Science Center, Houston, TX 77030, USA
| | - Han Chen
- Human Genetics Center, University of Texas Health Science Center, Houston, TX 77030, USA; Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Yulin Dai
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Megan L Grove
- Human Genetics Center, University of Texas Health Science Center, Houston, TX 77030, USA
| | - Alanna C Morrison
- Human Genetics Center, University of Texas Health Science Center, Houston, TX 77030, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago, IL 60612, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina Gilling School of Global Public Health, Chapel Hill, NC 27599, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, NC 27599, USA; Carolina Center of Genome Sciences, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, TX 77030, USA
| | - Bing Yu
- Human Genetics Center, University of Texas Health Science Center, Houston, TX 77030, USA.
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21
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Zhuo Z, Zhou C, Fang Y, Zhu J, Lu H, Zhou H, Wu H, Wang Y, He J. Correlation between the genetic variants of base excision repair (BER) pathway genes and neuroblastoma susceptibility in eastern Chinese children. Cancer Commun (Lond) 2020; 40:641-646. [PMID: 32780923 PMCID: PMC7668499 DOI: 10.1002/cac2.12088] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 07/23/2020] [Indexed: 02/05/2023] Open
Affiliation(s)
- Zhenjian Zhuo
- Department of Pediatric SurgeryGuangzhou Institute of PediatricsGuangdong Provincial Key Laboratory of Research in Structural Birth Defect DiseaseGuangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhouGuangdong510623P. R. China
| | - Chunlei Zhou
- Department of PathologyChildren's Hospital of Nanjing Medical UniversityNanjingJiangsu210008P. R. China
| | - Yuan Fang
- Department of PathologyAnhui Provincial Children's HospitalHefeiAnhui230051P. R. China
| | - Jinhong Zhu
- Department of Clinical LaboratoryMolecular Epidemiology LaboratoryHarbin Medical University Cancer HospitalHarbinHeilongjiang150040P. R. China
| | - Hongting Lu
- Department of Pediatric Surgerythe Affiliated Hospital of Qingdao UniversityQingdaoShandong266000P. R. China
| | - Haixia Zhou
- Department of Hematologythe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical UniversityWenzhouZhejiang325027P. R. China
| | - Haiyan Wu
- Department of PathologyChildren's Hospital of Nanjing Medical UniversityNanjingJiangsu210008P. R. China
| | - Yizhen Wang
- Department of PathologyAnhui Provincial Children's HospitalHefeiAnhui230051P. R. China
| | - Jing He
- Department of Pediatric SurgeryGuangzhou Institute of PediatricsGuangdong Provincial Key Laboratory of Research in Structural Birth Defect DiseaseGuangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhouGuangdong510623P. R. China
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22
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Kudelka MR, Stowell SR, Cummings RD, Neish AS. Intestinal epithelial glycosylation in homeostasis and gut microbiota interactions in IBD. Nat Rev Gastroenterol Hepatol 2020; 17:597-617. [PMID: 32710014 PMCID: PMC8211394 DOI: 10.1038/s41575-020-0331-7] [Citation(s) in RCA: 136] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/05/2020] [Indexed: 02/08/2023]
Abstract
Inflammatory bowel disease (IBD) affects 6.8 million people globally. A variety of factors have been implicated in IBD pathogenesis, including host genetics, immune dysregulation and gut microbiota alterations. Emerging evidence implicates intestinal epithelial glycosylation as an underappreciated process that interfaces with these three factors. IBD is associated with increased expression of truncated O-glycans as well as altered expression of terminal glycan structures. IBD genes, glycosyltransferase mislocalization, altered glycosyltransferase and glycosidase expression and dysbiosis drive changes in the glycome. These glycan changes disrupt the mucus layer, glycan-lectin interactions, host-microorganism interactions and mucosal immunity, and ultimately contribute to IBD pathogenesis. Epithelial glycans are especially critical in regulating the gut microbiota through providing bacterial ligands and nutrients and ultimately determining the spatial organization of the gut microbiota. In this Review, we discuss the regulation of intestinal epithelial glycosylation, altered epithelial glycosylation in IBD and mechanisms for how these alterations contribute to disease pathobiology. We hope that this Review provides a foundation for future studies on IBD glycosylation and the emergence of glycan-inspired therapies for IBD.
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Affiliation(s)
- Matthew R Kudelka
- Medical Scientist Training Program, Emory University School of Medicine, Atlanta, GA, USA
- Department of Internal Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sean R Stowell
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Richard D Cummings
- Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Andrew S Neish
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
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23
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Tubbs JD, Ding J, Baum L, Sham PC. Immune dysregulation in depression: Evidence from genome-wide association. Brain Behav Immun Health 2020; 7:100108. [PMID: 34589869 PMCID: PMC8474691 DOI: 10.1016/j.bbih.2020.100108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 07/12/2020] [Indexed: 12/15/2022] Open
Abstract
A strong body of evidence supports a role for immune dysregulation across many psychiatric disorders including depression, the leading cause of global disability. Recent progress in the search for genetic variants associated with depression provides the opportunity to strengthen our current understanding of etiological factors contributing to depression and generate novel hypotheses. Here, we provide an overview of the literature demonstrating a role for immune dysregulation in depression, followed by a detailed discussion of the immune-related genes identified by the most recent genome-wide meta-analysis of depression. These genes represent strong evidence-based targets for future basic and translational research which aims to understand the role of the immune system in depression pathology and identify novel points for therapeutic intervention.
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Affiliation(s)
- Justin D. Tubbs
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Jiahong Ding
- Department of Psychiatry, The University of Hong Kong, Hong Kong
| | - Larry Baum
- Department of Psychiatry, The University of Hong Kong, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
| | - Pak C. Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
- Centre for PanorOmic Sciences, The University of Hong Kong, Hong Kong
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24
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Johansson Å, Rask-Andersen M, Karlsson T, Ek WE. Genome-wide association analysis of 350 000 Caucasians from the UK Biobank identifies novel loci for asthma, hay fever and eczema. Hum Mol Genet 2020; 28:4022-4041. [PMID: 31361310 PMCID: PMC6969355 DOI: 10.1093/hmg/ddz175] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 05/29/2019] [Accepted: 06/03/2019] [Indexed: 12/19/2022] Open
Abstract
Even though heritability estimates suggest that the risk of asthma, hay fever and eczema is largely due to genetic factors, previous studies have not explained a large part of the genetics behind these diseases. In this genome-wide association study, we include 346 545 Caucasians from the UK Biobank to identify novel loci for asthma, hay fever and eczema and replicate novel loci in three independent cohorts. We further investigate if associated lead single nucleotide polymorphisms (SNPs) have a significantly larger effect for one disease compared to the other diseases, to highlight possible disease-specific effects. We identified 141 loci, of which 41 are novel, to be associated (P ≤ 3 × 10−8) with asthma, hay fever or eczema, analyzed separately or as disease phenotypes that includes the presence of different combinations of these diseases. The largest number of loci was associated with the combined phenotype (asthma/hay fever/eczema). However, as many as 20 loci had a significantly larger effect on hay fever/eczema only compared to their effects on asthma, while 26 loci exhibited larger effects on asthma compared with their effects on hay fever/eczema. At four of the novel loci, TNFRSF8, MYRF, TSPAN8, and BHMG1, the lead SNPs were in Linkage Disequilibrium (LD) (>0.8) with potentially casual missense variants. Our study shows that a large amount of the genetic contribution is shared between the diseases. Nonetheless, a number of SNPs have a significantly larger effect on one of the phenotypes, suggesting that part of the genetic contribution is more phenotype specific.
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Affiliation(s)
- Åsa Johansson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Mathias Rask-Andersen
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Torgny Karlsson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Weronica E Ek
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- To whom correspondence should be addressed at: Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, PO Box 815, 75108, Uppsala, Sweden. Tel: +46703519004; Fax: +46184714931;
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25
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Xu YX, Peloso GM, Nagai TH, Mizoguchi T, Deik A, Bullock K, Lin H, Musunuru K, Yang Q, Vasan RS, Gerszten RE, Clish CB, Rader D, Kathiresan S. EDEM3 Modulates Plasma Triglyceride Level through Its Regulation of LRP1 Expression. iScience 2020; 23:100973. [PMID: 32213464 PMCID: PMC7093811 DOI: 10.1016/j.isci.2020.100973] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/06/2019] [Accepted: 03/05/2020] [Indexed: 01/10/2023] Open
Abstract
Human genetics studies have uncovered genetic variants that can be used to guide biological research and prioritize molecular targets for therapeutic intervention for complex diseases. We have identified a missense variant (P746S) in EDEM3 associated with lower blood triglyceride (TG) levels in >300,000 individuals. Functional analyses in cell and mouse models show that EDEM3 deficiency strongly increased the uptake of very-low-density lipoprotein and thereby reduced the plasma TG level, as a result of up-regulated expression of LRP1 receptor. We demonstrate that EDEM3 deletion up-regulated the pathways for RNA and endoplasmic reticulum protein processing and transport, and consequently increased the cell surface mannose-containing glycoproteins, including LRP1. Metabolomics analyses reveal a cellular TG accumulation under EDEM3 deficiency, a profile consistent with individuals carrying EDEM3 P746S. Our study identifies EDEM3 as a regulator of blood TG, and targeted inhibition of EDEM3 may provide a complementary approach for lowering elevated blood TG concentrations.
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Affiliation(s)
- Yu-Xin Xu
- Center for Genomic Medicine, Massachusetts General Hospital, Simches 5.500, 185 Cambridge St., Boston, MA 02114, USA.
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Taylor H Nagai
- Center for Genomic Medicine, Massachusetts General Hospital, Simches 5.500, 185 Cambridge St., Boston, MA 02114, USA
| | - Taiji Mizoguchi
- Center for Genomic Medicine, Massachusetts General Hospital, Simches 5.500, 185 Cambridge St., Boston, MA 02114, USA
| | - Amy Deik
- The Metabolomics Program, Broad Institute, Cambridge, MA 02142, USA
| | - Kevin Bullock
- The Metabolomics Program, Broad Institute, Cambridge, MA 02142, USA
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Kiran Musunuru
- Cardiovascular Institute, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Ramachandran S Vasan
- Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA 02118, USA; Framingham Heart Study of the NHLBI and Boston University School of Medicine, Framingham, MA 01702, USA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Clary B Clish
- The Metabolomics Program, Broad Institute, Cambridge, MA 02142, USA
| | - Daniel Rader
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sekar Kathiresan
- Center for Genomic Medicine, Massachusetts General Hospital, Simches 5.500, 185 Cambridge St., Boston, MA 02114, USA.
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26
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Luck K, Kim DK, Lambourne L, Spirohn K, Begg BE, Bian W, Brignall R, Cafarelli T, Campos-Laborie FJ, Charloteaux B, Choi D, Coté AG, Daley M, Deimling S, Desbuleux A, Dricot A, Gebbia M, Hardy MF, Kishore N, Knapp JJ, Kovács IA, Lemmens I, Mee MW, Mellor JC, Pollis C, Pons C, Richardson AD, Schlabach S, Teeking B, Yadav A, Babor M, Balcha D, Basha O, Bowman-Colin C, Chin SF, Choi SG, Colabella C, Coppin G, D'Amata C, De Ridder D, De Rouck S, Duran-Frigola M, Ennajdaoui H, Goebels F, Goehring L, Gopal A, Haddad G, Hatchi E, Helmy M, Jacob Y, Kassa Y, Landini S, Li R, van Lieshout N, MacWilliams A, Markey D, Paulson JN, Rangarajan S, Rasla J, Rayhan A, Rolland T, San-Miguel A, Shen Y, Sheykhkarimli D, Sheynkman GM, Simonovsky E, Taşan M, Tejeda A, Tropepe V, Twizere JC, Wang Y, Weatheritt RJ, Weile J, Xia Y, Yang X, Yeger-Lotem E, Zhong Q, Aloy P, Bader GD, De Las Rivas J, Gaudet S, Hao T, Rak J, Tavernier J, Hill DE, Vidal M, Roth FP, Calderwood MA. A reference map of the human binary protein interactome. Nature 2020; 580:402-408. [PMID: 32296183 PMCID: PMC7169983 DOI: 10.1038/s41586-020-2188-x] [Citation(s) in RCA: 605] [Impact Index Per Article: 151.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 02/14/2020] [Indexed: 12/14/2022]
Abstract
Global insights into cellular organization and genome function require comprehensive understanding of the interactome networks that mediate genotype-phenotype relationships1,2. Here, we present a human “all-by-all” reference interactome map of human binary protein interactions, or “HuRI”. With ~53,000 high-quality protein-protein interactions (PPIs), HuRI has approximately four times more such interactions than high-quality curated interactions from small-scale studies. Integrating HuRI with genome3, transcriptome4, and proteome5 data enables the study of cellular function within most physiological or pathological cellular contexts. We demonstrate the utility of HuRI in identifying specific subcellular roles of PPIs. Inferred tissue-specific networks reveal general principles for the formation of cellular context-specific functions and elucidate potential molecular mechanisms underlying tissue-specific phenotypes of Mendelian diseases. HuRI represents a systematic proteome-wide reference linking genomic variation to phenotypic outcomes.
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Affiliation(s)
- Katja Luck
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Dae-Kyum Kim
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Luke Lambourne
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kerstin Spirohn
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bridget E Begg
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Wenting Bian
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ruth Brignall
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tiziana Cafarelli
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Francisco J Campos-Laborie
- Cancer Research Center (CiC-IBMCC, CSIC/USAL), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), Salamanca, Spain.,Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Benoit Charloteaux
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Dongsic Choi
- The Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Atina G Coté
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Meaghan Daley
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven Deimling
- Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada
| | - Alice Desbuleux
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.,Molecular Biology of Diseases, Groupe Interdisciplinaire de Génomique Appliquée (GIGA) and Laboratory of Viral Interactomes, University of Liège, Liège, Belgium
| | - Amélie Dricot
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Marinella Gebbia
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Madeleine F Hardy
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nishka Kishore
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Jennifer J Knapp
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - István A Kovács
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Network Science Institute, Northeastern University, Boston, MA, USA.,Wigner Research Centre for Physics, Institute for Solid State Physics and Optics, Budapest, Hungary
| | - Irma Lemmens
- Center for Medical Biotechnology, Vlaams Instituut voor Biotechnologie (VIB), Ghent, Belgium.,Cytokine Receptor Laboratory (CRL), Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Miles W Mee
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Joseph C Mellor
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada.,seqWell, Beverly, MA, USA
| | - Carl Pollis
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Carles Pons
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Catalonia, Spain
| | - Aaron D Richardson
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sadie Schlabach
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bridget Teeking
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anupama Yadav
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mariana Babor
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Dawit Balcha
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Omer Basha
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,National Institute for Biotechnology in the Negev (NIBN), Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Christian Bowman-Colin
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Suet-Feung Chin
- Cancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Soon Gang Choi
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Claudia Colabella
- Department of Pharmaceutical Sciences, University of Perugia, Perugia, Italy.,Istituto Zooprofilattico Sperimentale dell'Umbria e delle Marche "Togo Rosati" (IZSUM), Perugia, Italy
| | - Georges Coppin
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.,Molecular Biology of Diseases, Groupe Interdisciplinaire de Génomique Appliquée (GIGA) and Laboratory of Viral Interactomes, University of Liège, Liège, Belgium
| | - Cassandra D'Amata
- Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada
| | - David De Ridder
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steffi De Rouck
- Center for Medical Biotechnology, Vlaams Instituut voor Biotechnologie (VIB), Ghent, Belgium.,Cytokine Receptor Laboratory (CRL), Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Miquel Duran-Frigola
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Catalonia, Spain
| | - Hanane Ennajdaoui
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Florian Goebels
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Liana Goehring
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anjali Gopal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Ghazal Haddad
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Elodie Hatchi
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mohamed Helmy
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Yves Jacob
- Département de Virologie, Unité de Génétique Moléculaire des Virus à ARN (GMVR), Institut Pasteur, UMR3569, Centre National de la Recherche Scientifique (CNRS), Paris, France.,Université Paris Diderot, Paris, France
| | - Yoseph Kassa
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Serena Landini
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Roujia Li
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Natascha van Lieshout
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Andrew MacWilliams
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Dylan Markey
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joseph N Paulson
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.,Department of Biostatistics, Product Development, Genentech Inc., South San Francisco, CA, USA
| | - Sudharshan Rangarajan
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - John Rasla
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ashyad Rayhan
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Thomas Rolland
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Adriana San-Miguel
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yun Shen
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Dayag Sheykhkarimli
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Gloria M Sheynkman
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eyal Simonovsky
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,National Institute for Biotechnology in the Negev (NIBN), Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Murat Taşan
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada.,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Alexander Tejeda
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Vincent Tropepe
- Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada
| | - Jean-Claude Twizere
- Molecular Biology of Diseases, Groupe Interdisciplinaire de Génomique Appliquée (GIGA) and Laboratory of Viral Interactomes, University of Liège, Liège, Belgium
| | - Yang Wang
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Jochen Weile
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada.,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Yu Xia
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Bioengineering, McGill University, Montreal, Quebec, Canada
| | - Xinping Yang
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Esti Yeger-Lotem
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,National Institute for Biotechnology in the Negev (NIBN), Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Quan Zhong
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Biological Sciences, Wright State University, Dayton, OH, USA
| | - Patrick Aloy
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Catalonia, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
| | - Gary D Bader
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Javier De Las Rivas
- Cancer Research Center (CiC-IBMCC, CSIC/USAL), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), Salamanca, Spain.,Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Suzanne Gaudet
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tong Hao
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Janusz Rak
- The Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Jan Tavernier
- Center for Medical Biotechnology, Vlaams Instituut voor Biotechnologie (VIB), Ghent, Belgium.,Cytokine Receptor Laboratory (CRL), Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - David E Hill
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA. .,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA. .,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA. .,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
| | - Frederick P Roth
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA. .,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada. .,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada. .,Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada. .,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada. .,Canadian Institute for Advanced Research (CIFAR), Toronto, Ontario, Canada.
| | - Michael A Calderwood
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA. .,Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA. .,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
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27
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Graham DB, Xavier RJ. Pathway paradigms revealed from the genetics of inflammatory bowel disease. Nature 2020; 578:527-539. [PMID: 32103191 PMCID: PMC7871366 DOI: 10.1038/s41586-020-2025-2] [Citation(s) in RCA: 363] [Impact Index Per Article: 90.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 12/10/2019] [Indexed: 12/13/2022]
Abstract
Inflammatory bowel disease (IBD) is a complex genetic disease that is instigated and amplified by the confluence of multiple genetic and environmental variables that perturb the immune-microbiome axis. The challenge of dissecting pathological mechanisms underlying IBD has led to the development of transformative approaches in human genetics and functional genomics. Here we describe IBD as a model disease in the context of leveraging human genetics to dissect interactions in cellular and molecular pathways that regulate homeostasis of the mucosal immune system. Finally, we synthesize emerging insights from multiple experimental approaches into pathway paradigms and discuss future prospects for disease-subtype classification and therapeutic intervention.
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Affiliation(s)
- Daniel B. Graham
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Microbiome Informatics and Therapeutics, MIT, Cambridge, MA, USA.,Corresponding authors. ,
| | - Ramnik J. Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Center for Microbiome Informatics and Therapeutics, MIT, Cambridge, MA, USA.,Corresponding authors. ,
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28
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Gregory EF, Starr DA. tmem-258 is dispensable for both nuclear anchorage and migration in C. elegans. MICROPUBLICATION BIOLOGY 2020; 2020:10.17912/micropub.biology.000208. [PMID: 32550492 PMCID: PMC7252297 DOI: 10.17912/micropub.biology.000208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Daniel Aaron Starr
- University of California, Davis,
Correspondence to: Daniel Aaron Starr ()
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29
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Tamana S, Promponas VJ. An updated view of the oligosaccharyltransferase complex in Plasmodium. Glycobiology 2019; 29:385-396. [PMID: 30835280 DOI: 10.1093/glycob/cwz011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 01/27/2019] [Accepted: 03/04/2019] [Indexed: 12/18/2022] Open
Abstract
Despite the controversy regarding the importance of protein N-linked glycosylation in species of the genus Plasmodium, genes potentially encoding core subunits of the oligosaccharyltransferase (OST) complex have already been characterized in completely sequenced genomes of malaria parasites. Nevertheless, the currently established notion is that only four out of eight subunits of the OST complex-which is considered conserved across eukaryotes-are present in Plasmodium species. In this study, we carefully conduct computational analysis to provide unequivocal evidence that all components of the OST complex, with the exception of Swp1/Ribophorin II, can be reliably identified within completely sequenced plasmodial genomes. In fact, most of the subunits currently considered as absent from Plasmodium refer to uncharacterized protein sequences already existing in sequence databases. Interestingly, the main reason why the unusually short Ost4 subunit (36 residues long in yeast) has not been identified so far in plasmodia (and possibly other species) is the failure of gene-prediction pipelines to detect such a short coding sequence. We further identify elusive OST subunits in select protist species with completely sequenced genomes. Thus, our work highlights the necessity of a systematic approach towards the characterization of OST subunits across eukaryotes. This is necessary both for obtaining a concrete picture of the evolution of the OST complex but also for elucidating its possible role in eukaryotic pathogens.
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Affiliation(s)
- Stella Tamana
- Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, CY, Nicosia, Cyprus
| | - Vasilis J Promponas
- Bioinformatics Research Laboratory, Department of Biological Sciences, University of Cyprus, CY, Nicosia, Cyprus
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30
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Ramírez AS, Kowal J, Locher KP. Cryo–electron microscopy structures of human oligosaccharyltransferase complexes OST-A and OST-B. Science 2019; 366:1372-1375. [DOI: 10.1126/science.aaz3505] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 11/13/2019] [Indexed: 12/22/2022]
Abstract
Oligosaccharyltransferase (OST) catalyzes the transfer of a high-mannose glycan onto secretory proteins in the endoplasmic reticulum. Mammals express two distinct OST complexes that act in a cotranslational (OST-A) or posttranslocational (OST-B) manner. Here, we present high-resolution cryo–electron microscopy structures of human OST-A and OST-B. Although they have similar overall architectures, structural differences in the catalytic subunits STT3A and STT3B facilitate contacts to distinct OST subunits, DC2 in OST-A and MAGT1 in OST-B. In OST-A, interactions with TMEM258 and STT3A allow ribophorin-I to form a four-helix bundle that can bind to a translating ribosome, whereas the equivalent region is disordered in OST-B. We observed an acceptor peptide and dolichylphosphate bound to STT3B, but only dolichylphosphate in STT3A, suggesting distinct affinities of the two OST complexes for protein substrates.
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Affiliation(s)
- Ana S. Ramírez
- Institute of Molecular Biology and Biophysics, Eidgenössische Technische Hochschule (ETH), CH-8093 Zürich, Switzerland
| | - Julia Kowal
- Institute of Molecular Biology and Biophysics, Eidgenössische Technische Hochschule (ETH), CH-8093 Zürich, Switzerland
| | - Kaspar P. Locher
- Institute of Molecular Biology and Biophysics, Eidgenössische Technische Hochschule (ETH), CH-8093 Zürich, Switzerland
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31
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Harada Y, Ohkawa Y, Kizuka Y, Taniguchi N. Oligosaccharyltransferase: A Gatekeeper of Health and Tumor Progression. Int J Mol Sci 2019; 20:ijms20236074. [PMID: 31810196 PMCID: PMC6929149 DOI: 10.3390/ijms20236074] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 11/28/2019] [Accepted: 11/28/2019] [Indexed: 02/06/2023] Open
Abstract
Oligosaccharyltransferase (OST) is a multi-span membrane protein complex that catalyzes the addition of glycans to selected Asn residues within nascent polypeptides in the lumen of the endoplasmic reticulum. This process, termed N-glycosylation, is a fundamental post-translational protein modification that is involved in the quality control, trafficking of proteins, signal transduction, and cell-to-cell communication. Given these crucial roles, N-glycosylation is essential for homeostasis at the systemic and cellular levels, and a deficiency in genes that encode for OST subunits often results in the development of complex genetic disorders. A growing body of evidence has also demonstrated that the expression of OST subunits is cell context-dependent and is frequently altered in malignant cells, thus contributing to tumor cell survival and proliferation. Importantly, a recently developed inhibitor of OST has revealed this enzyme as a potential target for the treatment of incurable drug-resistant tumors. This review summarizes our current knowledge regarding the functions of OST in the light of health and tumor progression, and discusses perspectives on the clinical relevance of inhibiting OST as a tumor treatment.
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Affiliation(s)
- Yoichiro Harada
- Department of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan; (Y.H.); (Y.O.)
| | - Yuki Ohkawa
- Department of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan; (Y.H.); (Y.O.)
| | - Yasuhiko Kizuka
- Center for Highly Advanced Integration of Nano and Life Sciences (G-CHAIN), Gifu University, Gifu 501-1193, Japan;
| | - Naoyuki Taniguchi
- Department of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka 541-8567, Japan; (Y.H.); (Y.O.)
- Correspondence: ; Tel.: +81-6-6945-1181
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32
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Graham DB, Jasso GJ, Mok A, Goel G, Ng ACY, Kolde R, Varma M, Doench JG, Root DE, Clish CB, Carr SA, Xavier RJ. Nitric Oxide Engages an Anti-inflammatory Feedback Loop Mediated by Peroxiredoxin 5 in Phagocytes. Cell Rep 2018; 24:838-850. [PMID: 30044981 PMCID: PMC6156773 DOI: 10.1016/j.celrep.2018.06.081] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 04/25/2018] [Accepted: 06/19/2018] [Indexed: 12/30/2022] Open
Abstract
Phagocyte microbiocidal mechanisms and inflammatory cytokine production are temporally coordinated, although their respective interdependencies remain incompletely understood. Here, we identify a nitric-oxide-mediated antioxidant response as a negative feedback regulator of inflammatory cytokine production in phagocytes. In this context, Keap1 functions as a cellular redox sensor that responds to elevated reactive nitrogen intermediates by eliciting an adaptive transcriptional program controlled by Nrf2 and comprised of antioxidant genes, including Prdx5. We demonstrate that engaging the antioxidant response is sufficient to suppress Toll-like receptor (TLR)-induced cytokine production in dendritic cells and that Prdx5 is required for attenuation of inflammatory cytokine production. Collectively, these findings delineate the reciprocal regulation of inflammation and cellular redox systems in myeloid cells.
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Affiliation(s)
- Daniel B Graham
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02114, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Guadalupe J Jasso
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02114, USA
| | - Amanda Mok
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Gautam Goel
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Aylwin C Y Ng
- Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02114, USA
| | - Raivo Kolde
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Mukund Varma
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - John G Doench
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - David E Root
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Steven A Carr
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02114, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA.
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Kitajima T, Xue W, Liu YS, Wang CD, Liu SS, Fujita M, Gao XD. Construction of green fluorescence protein mutant to monitor STT3B-dependent N-glycosylation. FEBS J 2017; 285:915-928. [PMID: 29282902 DOI: 10.1111/febs.14375] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 11/06/2017] [Accepted: 12/21/2017] [Indexed: 12/21/2022]
Abstract
Oligosaccharyltransferases (OSTs) mediate the en bloc transfer of N-glycan intermediates onto the asparagine residue in glycosylation sequons (N-X-S/T, X≠P). These enzymes are typically heteromeric complexes composed of several membrane-associated subunits, in which STT3 is highly conserved as a catalytic core. Metazoan organisms encode two STT3 genes (STT3A and STT3B) in their genome, resulting in the formation of at least two distinct OST isoforms consisting of shared subunits and complex specific subunits. The STT3A isoform of OST primarily glycosylates substrate polypeptides cotranslationally, whereas the STT3B isoform is involved in cotranslational and post-translocational glycosylation of sequons that are skipped by the STT3A isoform. Here, we describe mutant constructs of monomeric enhanced green fluorescent protein (mEGFP), which are susceptible to STT3B-dependent N-glycosylation. The endoplasmic reticulum-localized mEGFP (ER-mEGFP) mutants contained an N-glycosylation sequon at their C-terminus and exhibited increased fluorescence in response to N-glycosylation. Isoform-specific glycosylation of the constructs was confirmed by using STT3A- or STT3B-knockout cell lines. Among the mutant constructs that we tested, the ER-mEGFP mutant containing the N185 -C186 -T187 sequon was the best substrate for the STT3B isoform in terms of glycosylation efficiency and fluorescence change. Our results suggest that the mutant ER-mEGFP is useful for monitoring STT3B-dependent post-translocational N-glycosylation in cells of interest, such as those from putative patients with a congenital disorder of glycosylation.
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Affiliation(s)
- Toshihiko Kitajima
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Wei Xue
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Yi-Shi Liu
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Chun-Di Wang
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Si-Si Liu
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Morihisa Fujita
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Xiao-Dong Gao
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
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34
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Ding ZY, Wang YH, Huang YC, Lee MC, Tseng MJ, Chi YH, Huang ML. Outer nuclear membrane protein Kuduk modulates the LINC complex and nuclear envelope architecture. J Cell Biol 2017; 216:2827-2841. [PMID: 28716842 PMCID: PMC5584142 DOI: 10.1083/jcb.201606043] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Revised: 05/25/2017] [Accepted: 06/15/2017] [Indexed: 11/25/2022] Open
Abstract
LINC complexes connect the inner and outer nuclear membrane (ONM) to transduce nucleocytoskeletal force. Ding et al. identify an ONM protein, Kuduk/TMEM258, which modulates the quality of LINC complexes and regulates the nuclear envelope architecture, nuclear positioning, and the development of ovarian follicles. Linker of nucleoskeleton and cytoskeleton (LINC) complexes spanning the nuclear envelope (NE) contribute to nucleocytoskeletal force transduction. A few NE proteins have been found to regulate the LINC complex. In this study, we identify one, Kuduk (Kud), which can reside at the outer nuclear membrane and is required for the development of Drosophila melanogaster ovarian follicles and NE morphology of myonuclei. Kud associates with LINC complex components in an evolutionarily conserved manner. Loss of Kud increases the level but impairs functioning of the LINC complex. Overexpression of Kud suppresses NE targeting of cytoskeleton-free LINC complexes. Thus, Kud acts as a quality control mechanism for LINC-mediated nucleocytoskeletal connections. Genetic data indicate that Kud also functions independently of the LINC complex. Overexpression of the human orthologue TMEM258 in Drosophila proved functional conservation. These findings expand our understanding of the regulation of LINC complexes and NE architecture.
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Affiliation(s)
- Zhao-Ying Ding
- Department of Life Science, National Chung-Cheng University, Chiayi, Taiwan
| | - Ying-Hsuan Wang
- Department of Life Science, National Chung-Cheng University, Chiayi, Taiwan
| | - Yu-Cheng Huang
- Department of Life Science, National Chung-Cheng University, Chiayi, Taiwan
| | - Myong-Chol Lee
- Department of Life Science, National Chung-Cheng University, Chiayi, Taiwan
| | - Min-Jen Tseng
- Department of Life Science, National Chung-Cheng University, Chiayi, Taiwan
| | - Ya-Hui Chi
- Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli, Taiwan
| | - Min-Lang Huang
- Department of Life Science, National Chung-Cheng University, Chiayi, Taiwan
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