Complement C4 Gene Copy Number Variation Genotyping by High Resolution Melting PCR
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The Membrane Complement Regulatory Protein CD59 and Its Association with Rheumatoid Arthritis and Systemic Lupus Erythematosus
Current Medicine Research and Practice 9 (2019) 182e188 Contents lists available at ScienceDirect Current Medicine Research and Practice journal homepage: www.elsevier.com/locate/cmrp Review Article The membrane complement regulatory protein CD59 and its association with rheumatoid arthritis and systemic lupus erythematosus * Nibhriti Das a, Devyani Anand a, Bintili Biswas b, Deepa Kumari c, Monika Gandhi c, a Department of Biochemistry, All India Institute of Medical Sciences, New Delhi 110029, India b Department of Zoology, Ramjas College, University of Delhi, India c University School of Biotechnology, Guru Gobind Singh Indraprastha University, India article info abstract Article history: The complement cascade consisting of about 50 soluble and cell surface proteins is activated in auto- Received 8 May 2019 immune inflammatory disorders. This contributes to the pathological manifestations in these diseases. In Accepted 30 July 2019 normal health, the soluble and membrane complement regulatory proteins protect the host against Available online 5 August 2019 complement-mediated self-tissue injury by controlling the extent of complement activation within the desired limits for the host's benefit. CD59 is a membrane complement regulatory protein that inhibits the Keywords: formation of the terminal complement complex or membrane attack complex (C5b6789n) which is CD59 generated on complement activation by any of the three pathways, namely, the classical, alternative, and RA SLE the mannose-binding lectin pathway. Animal experiments and human studies have suggested impor- Pathophysiology tance of membrane complement proteins including CD59 in the pathophysiology of rheumatoid arthritis Disease marker (RA) and systemic lupus erythematosus (SLE). Here is a brief review on CD59 and its distribution, structure, functions, and association with RA and SLE starting with a brief introduction on the com- plement system, its activation, the biological functions, and relations of membrane complement regu- latory proteins, especially CD59, with RA and SLE. -
More Than a Pore: Nonlytic Antimicrobial Functions of Downloaded from Complement and Bacterial Strategies for Evasion
REVIEW More than a Pore: Nonlytic Antimicrobial Functions of Downloaded from Complement and Bacterial Strategies for Evasion Elisabet Bjanes,a Victor Nizeta,b aDivision of Host-Microbe Systems and Therapeutics, Department of Pediatrics, UC San Diego, La Jolla, California, USA bSkaggs School of Pharmacy and Pharmaceutical Sciences, UC San Diego, La Jolla, California, USA http://mmbr.asm.org/ SUMMARY ........................................................................1 INTRODUCTION ...................................................................2 BY THE BOOK: CANONICAL COMPLEMENT CASCADES ...............................2 Off to the Races—Pathway Activation . 2 More and More—Amplification . 3 End of the Line—Termination . 3 Pump the Brakes—Inhibition . 5 Surviving MAC Attack—Evasion of Complement Lysis by Gram-Negative Bacteria . 6 NONLYTIC COMPLEMENT FUNCTIONS AND BACTERIAL EVASION MECHANISMS ......8 Special Considerations in Gram-Positive Bacteria . 8 on January 27, 2021 at UNIV OF CALIF SAN DIEGO Preparing the Meal—Complement Aids Opsonization and Phagocytosis . 8 Food for Thought—Complement Traffics to Autophagy . 10 Fueling the Fire—Complement Modulates Inflammatory Responses . 11 Casting a Wider NET—Complement and Neutrophil Synergy . 12 Inside Scoop—Novel Roles of Intracellular Complement . 13 Tying the Clot—Complement and Coagulation Cross Talk . 15 Bridging the Gap—Complement Instructs Adaptive Immunity . 17 REFRAMING SCIENTIFIC PARADIGMS AND THERAPEUTIC APPROACHES TO ENCOMPASS COMPLEMENT ..................................................18 -
How Macrophages Deal with Death
REVIEWS CELL DEATH AND IMMUNITY How macrophages deal with death Greg Lemke Abstract | Tissue macrophages rapidly recognize and engulf apoptotic cells. These events require the display of so- called eat-me signals on the apoptotic cell surface, the most fundamental of which is phosphatidylserine (PtdSer). Externalization of this phospholipid is catalysed by scramblase enzymes, several of which are activated by caspase cleavage. PtdSer is detected both by macrophage receptors that bind to this phospholipid directly and by receptors that bind to a soluble bridging protein that is independently bound to PtdSer. Prominent among the latter receptors are the MER and AXL receptor tyrosine kinases. Eat-me signals also trigger macrophages to engulf virus- infected or metabolically traumatized, but still living, cells, and this ‘murder by phagocytosis’ may be a common phenomenon. Finally , the localized presentation of PtdSer and other eat- me signals on delimited cell surface domains may enable the phagocytic pruning of these ‘locally dead’ domains by macrophages, most notably by microglia of the central nervous system. In long- lived organisms, abundant cell types are often process. Efferocytosis is a remarkably efficient business: short- lived. In the human body, for example, the macrophages can engulf apoptotic cells in less than lifespan of many white blood cells — including neutro- 10 minutes, and it is therefore difficult experimentally to phils, eosinophils and platelets — is less than 2 weeks. detect free apoptotic cells in vivo, even in tissues where For normal healthy humans, a direct consequence of large numbers are generated7. Many of the molecules this turnover is the routine generation of more than that macrophages and other phagocytes use to recognize 100 billion dead cells each and every day of life1,2. -
Complement Component 4 Genes Contribute Sex-Specific Vulnerability in Diverse Illnesses
bioRxiv preprint doi: https://doi.org/10.1101/761718; this version posted September 9, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Complement component 4 genes contribute sex-specific vulnerability in diverse illnesses Nolan Kamitaki1,2, Aswin Sekar1,2, Robert E. Handsaker1,2, Heather de Rivera1,2, Katherine Tooley1,2, David L. Morris3, Kimberly E. Taylor4, Christopher W. Whelan1,2, Philip Tombleson3, Loes M. Olde Loohuis5,6, Schizophrenia Working Group of the Psychiatric Genomics Consortium7, Michael Boehnke8, Robert P. Kimberly9, Kenneth M. Kaufman10, John B. Harley10, Carl D. Langefeld11, Christine E. Seidman1,12,13, Michele T. Pato14, Carlos N. Pato14, Roel A. Ophoff5,6, Robert R. Graham15, Lindsey A. Criswell4, Timothy J. Vyse3, Steven A. McCarroll1,2 1 Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA 2 Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA 3 Department of Medical and Molecular Genetics, King’s College London, London WC2R 2LS, UK 4 Rosalind Russell / Ephraim P Engleman Rheumatology Research Center, Division of Rheumatology, UCSF School of Medicine, San Francisco, California 94143, USA 5 Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA 6 Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California 90095, USA 7 A full list of collaborators is in Supplementary Information. -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
Appendix Table A.2.3.1 Full Table of All Chicken Proteins and Human Orthologs Pool Accession Human Human Protein Human Product Cell Angios Log2( Endo Gene Comp
Appendix table A.2.3.1 Full table of all chicken proteins and human orthologs Pool Accession Human Human Protein Human Product Cell AngioS log2( Endo Gene comp. core FC) Specific CIKL F1NWM6 KDR NP_002244 kinase insert domain receptor (a type III receptor tyrosine M 94 4 kinase) CWT Q8AYD0 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CWT Q8AYD0 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CIKL F1P1Y9 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CIKL F1P1Y9 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CIKL F1N871 FLT4 NP_891555 fms-related tyrosine kinase 4 M 86 -1.71 CWT O73739 EDNRA NP_001948 endothelin receptor type A M 81 -8 CIKL O73739 EDNRA NP_001948 endothelin receptor type A M 81 -8 CWT Q4ADW2 PROCR NP_006395 protein C receptor, endothelial M 80 -0.36 CIKL Q4ADW2 PROCR NP_006395 protein C receptor, endothelial M 80 -0.36 CIKL F1NFQ9 TEK NP_000450 TEK tyrosine kinase, endothelial M 77 7.3 specific CWT Q9DGN6 ECE1 NP_001106819 endothelin converting enzyme 1 M 74 -0.31 CIKL Q9DGN6 ECE1 NP_001106819 endothelin converting enzyme 1 M 74 -0.31 CWT F1NIF0 CA9 NP_001207 carbonic anhydrase IX I 74 CIKL F1NIF0 CA9 NP_001207 carbonic anhydrase IX I 74 CWT E1BZU7 AOC3 NP_003725 amine oxidase, copper containing 3 (vascular adhesion protein M 70 1) CIKL E1BZU7 AOC3 NP_003725 amine oxidase, copper containing 3 (vascular adhesion protein M 70 1) CWT O93419 COL18A1 NP_569712 collagen, type XVIII, alpha 1 E 70 -2.13 CIKL O93419 -
Regulation of Decay Accelerating Factor Primes Human Germinal Center B Cells for Phagocytosis
ORIGINAL RESEARCH published: 05 January 2021 doi: 10.3389/fimmu.2020.599647 Regulation of Decay Accelerating Factor Primes Human Germinal Center B Cells for Phagocytosis Andy Dernstedt 1, Jana Leidig 1, Anna Holm 2, Priscilla F. Kerkman 1, Jenny Mjösberg 3, Clas Ahlm 1, Johan Henriksson 4, Magnus Hultdin 5 and Mattias N. E. Forsell 1* 1 Department of Clinical Microbiology, Section of Infection and Immunology, Umeå University, Umeå, Sweden, 2 Department of Clinical Sciences, Division of Otorhinolaryngology, Umeå University, Umeå, Sweden, 3 Center for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden, 4 Molecular Infection Medicine Sweden, Department of Molecular Biology, Umeå University, Umeå, Sweden, 5 Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden Germinal centers (GC) are sites for extensive B cell proliferation and homeostasis is maintained by programmed cell death. The complement regulatory protein Decay Edited by: Accelerating Factor (DAF) blocks complement deposition on host cells and therefore Judith Fraussen, also phagocytosis of cells. Here, we show that B cells downregulate DAF upon BCR University of Hasselt, Belgium lo Reviewed by: engagement and that T cell-dependent stimuli preferentially led to activation of DAF B lo Paolo Casali, cells. Consistent with this, a majority of light and dark zone GC B cells were DAF and University of Texas Health Science susceptible to complement-dependent phagocytosis, as compared with DAFhi GC B Center at San Antonio, United States hi Shengli Xu, cells. We could also show that the DAF GC B cell subset had increased expression of the Bioprocessing Technology Institute plasma cell marker Blimp-1. -
LP Review Published.Pdf
Molecular Immunology 56 (2013) 413–422 Contents lists available at SciVerse ScienceDirect Molecular Immunology jo urnal homepage: www.elsevier.com/locate/molimm Review Toward a structure-based comprehension of the lectin pathway of complement a a b,∗ Troels R. Kjaer , Steffen Thiel , Gregers R. Andersen a Department of Biomedicine, Aarhus University, Wilhelm Meyers Allé 4, DK-8000 Aarhus, Denmark b Department of Molecular Biology and Genetics, Aarhus University, Gustav Wieds Vej 10C, DK-8000 Aarhus, Denmark a r t a b i c l e i n f o s t r a c t Article history: To initiate the lectin pathway of complement pattern recognition molecules bind to surface-linked car- Received 2 May 2013 bohydrates or acetyl groups on pathogens or damaged self-tissue. This leads to activation of the serine Accepted 14 May 2013 proteases MASP-1 and MASP-2 resulting in deposition of C4 on the activator and assembly of the C3 convertase. In addition MASP-3 and the non-catalytic MAp19 and MAp44 presumably play regulatory Keywords: functions, but the exact function of the MASP-3 protease remains to be established. Recent functional Complement system studies have significantly advanced our understanding of the molecular events occurring as activation Pattern recognition progresses from pattern recognition to convertase assembly. Furthermore, atomic structures derived MBL MASP by crystallography or solution scattering of most proteins acting in the lectin pathway and two key complexes have become available. Here we integrate the current functional and structural knowledge Protease activation C4 concerning the lectin pathway proteins and derive overall models for their glycan bound complexes. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Hereditary Angioedema: a Broad Review for Clinicians
REVIEW ARTICLE Hereditary Angioedema A Broad Review for Clinicians Ugochukwu C. Nzeako, MD, MPH; Evangelo Frigas, MD; William J. Tremaine, MD ereditary angioedema (HAE) is an autosomal dominant disease that afflicts 1 in 10000 to 1 in 150000 persons; HAE has been reported in all races, and no sex predomi- nance has been found. It manifests as recurrent attacks of intense, massive, localized edema without concomitant pruritus, often resulting from one of several known trig- Hgers. However, attacks can occur in the absence of any identifiable initiating event. Historically, 2 types of HAE have been described. However, a variant, possibly X-linked, inherited angioedema has recently been described, and tentatively it has been named “type 3” HAE. Signs and symptoms are identical in all types of HAE. Skin and visceral organs may be involved by the typically massive local edema. The most commonly involved viscera are the respiratory and gastrointestinal sys- tems. Involvement of the upper airways can result in severe life-threatening symptoms, including the risk of asphyxiation, unless appropriate interventions are taken. Quantitative and functional analyses of C1 esterase inhibitor and complement components C4 and C1q should be performed when HAE is suspected. Acute exacerbations of the disease should be treated with intravenous purified C1 esterase inhibitor concentrate, where available. Intravenous administration of fresh frozen plasma is also useful in acute HAE; however, it occasionally exacerbates symptoms. Corti- costeroids, antihistamines, and epinephrine can be useful adjuncts but typically are not effica- cious in aborting acute attacks. Prophylactic management involves long-term use of attenuated androgens or antifibrinolytic agents. -
Complement Modulates the Cutaneous Microbiome and Inflammatory Milieu
Complement modulates the cutaneous microbiome and inflammatory milieu Christel Chehouda, Stavros Rafailb, Amanda S. Tyldsleya, John T. Seykoraa, John D. Lambrisb,1, and Elizabeth A. Gricea,1 Departments of aDermatology and bPathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104 Edited by Andrea J. Tenner, University of California, Irvine, CA, and accepted by the Editorial Board August 2, 2013 (received for review April 26, 2013) The skin is colonized by a plethora of microbes that include systemic lupus erythematosus, lichen planus, xeroderma pigmento- commensals and potential pathogens, but it is currently un- sum, and recurrent cutaneous infection (15–18). known how cutaneous host immune mechanisms influence the Complement is triggered by one of three pathways (classical, composition, diversity, and quantity of the skin microbiota. alternative, or lectin), which all converge in the activation of the Here we reveal an interactive role for complement in cutaneous third complement component (C3). Following activation, the host–microbiome interactions. Inhibiting signaling of the com- release of biologically active proteins promote diverse defense plement component C5a receptor (C5aR) altered the composi- mechanisms such as microbial opsonization and phagocytosis, tion and diversity of the skin microbiota as revealed by deep direct lysis of target microbial cells through the membrane attack sequencing of the bacterial 16S rRNA gene. In parallel, we dem- complex (MAC), and the generation of effector molecules that fl onstrate that C5aR inhibition results in down-regulation of mediate recruitment and activation of in ammatory cells (13). genes encoding cutaneous antimicrobial peptides, pattern recog- This latter function, mediated by the complement C3a and C5a nition receptors, and proinflammatory mediators. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................