Synovial Fluid Proteome in Rheumatoid Arthritis
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Immuno-Oncology Panel 1
Immuno-Oncology panel 1 Gene Symbol Target protein name UniProt ID (& link) Modification* (56 analytes) ADA17 ADAM17 metalloprotease domain 17 P78536 *blanks mean the assay detects the ANXA1 Annexin A1 P04083 non-modified peptide sequence ANXA1 Annexin A1 P04083 ARG2 arginase, type II P78540 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 pS2996 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 pS367 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 C10orf54 / VISTA chromosome 10 open reading frame 54 Q9H7M9 CCL5 C-C motif chemokine ligand 5 P13501 CD14 CD14 molecule P08571 CD163 CD163 molecule Q86VB7 CD274 / PDL1 Programmed cell death 1 ligand 1 CD274 Q9NZQ7 CD33 CD33 molecule P20138 CD40/TNR5 tumor necrosis factor receptor superfamily member 5 P25942 CD40/TNR5 tumor necrosis factor receptor superfamily member 5 P25942 CD47 CD47 molecule Q08722 CD70 CD70 antigen P32970 CD74/HG2A CD74 molecule, major histocompatibility complex, class II invariant chain Q8SNA0 CEACAM8 carcinoembryonic antigen-related cell adhesion molecule 8 P31997 CX3CL1 C-X3-C motif chemokine ligand 1 P78423 CXCL10 C-X-C motif chemokine ligand 10 P02778 CXCL13 chemokine (C-X-C motif) ligand 13 O43927 ENTPD1 ectonucleoside triphosphate diphosphohydrolase 1 Q86VV3 FAS/TNR6 Fas (TNF receptor superfamily, member 6) P25445 pY291 FAS/TNR6 Fas (TNF receptor superfamily, member 6) P25445 GAPDH Glyceraldehyde-3-phosphate dehydrogenase P04406 HAVCR2 hepatitis -
Regulation of Phosphoinositide Levels in the Retina by Protein Tyrosine Phosphatase 1B and Growth Factor Receptor-Bound Protein 14
biomolecules Article Regulation of Phosphoinositide Levels in the Retina by Protein Tyrosine Phosphatase 1B and Growth Factor Receptor-Bound Protein 14 Raju V. S. Rajala 1,2,3,4,* , Austin McCauley 1,4, Rahul Rajala 3,5 , Kenneth Teel 1,4 and Ammaji Rajala 1,4 1 Department of Ophthalmology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; [email protected] (A.M.); [email protected] (K.T.); [email protected] (A.R.) 2 Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA 3 Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; [email protected] 4 Dean McGee Eye Institute, Oklahoma City, OK 73104, USA 5 Cardiovascular Biology Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA * Correspondence: [email protected]; Tel.: +1-405-271-8255; Fax: +1-405-271-8128 Abstract: Protein tyrosine kinases and protein phosphatases play a critical role in cellular regulation. The length of a cellular response depends on the interplay between activating protein kinases and deactivating protein phosphatases. Protein tyrosine phosphatase 1B (PTP1B) and growth factor receptor-bound protein 14 (Grb14) are negative regulators of receptor tyrosine kinases. However, in the retina, we have previously shown that PTP1B inactivates insulin receptor signaling, whereas phosphorylated Grb14 inhibits PTP1B activity. In silico docking of phosphorylated Grb14 and PTP1B Citation: Rajala, R.V.S.; McCauley, indicate critical residues in PTP1B that may mediate the interaction. Phosphoinositides (PIPs) are A.; Rajala, R.; Teel, K.; Rajala, A. acidic lipids and minor constituents in the cell that play an important role in cellular processes. -
The Role of Genetic Variation in Predisposition to Alcohol-Related Chronic Pancreatitis
The Role of Genetic Variation in Predisposition to Alcohol-related Chronic Pancreatitis Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Marianne Lucy Johnstone April 2015 The Role of Genetic Variation in Predisposition to Alcohol-related Chronic Pancreatitis 2015 Abstract Background Chronic pancreatitis (CP) is a disease of fibrosis of the pancreas for which alcohol is the main causative agent. However, only a small proportion of alcoholics develop chronic pancreatitis. Genetic polymorphism may affect pancreatitis risk. Aim To determine the factors required to classify a chronic pancreatic population and identify genetic variations that may explain why only some alcoholics develop chronic pancreatitis. Methods The most appropriate method of diagnosing CP was assessed using a systematic review. Genetics of different populations of alcohol-related chronic pancreatitics (ACP) were explored using four different techniques: genome-wide association study (GWAS); custom arrays; PCR of variable nucleotide tandem repeats (VNTR) and next generation sequencing (NGS) of selected genes. Results EUS and sMR were identified as giving the overall best sensitivity and specificity for diagnosing CP. GWAS revealed two associations with CP (identified and replicated) at PRSS1-PRSS2_rs10273639 (OR 0.73, 95% CI 0.68-0.79) and X-linked CLDN2_rs12688220 (OR 1.39, 1.28-1.49) and the association was more pronounced in the ACP group (OR 0.56, 0.48-0.64)and OR 2.11, 1.84-2.42). The previously identified VNTR in CEL was shown to have a lower frequency of the normal repeat in ACP than alcoholic liver disease (ALD; OR 0.61, 0.41-0.93). -
Whole Exome Sequencing Analyses Reveal Gene–Microbiota Interactions
Inflammatory bowel disease ORIGINAL RESEARCH Whole exome sequencing analyses reveal gene– Gut: first published as 10.1136/gutjnl-2019-319706 on 10 July 2020. Downloaded from microbiota interactions in the context of IBD Shixian Hu ,1,2 Arnau Vich Vila ,1,2 Ranko Gacesa,1,2 Valerie Collij,1,2 Christine Stevens,3 Jack M Fu,4,5,6 Isaac Wong,4,5 Michael E Talkowski,4,5,6,7,8 Manuel A Rivas,9 Floris Imhann,1,2 Laura Bolte,1,2 Hendrik van Dullemen,1 Gerard Dijkstra ,1 Marijn C Visschedijk,1 Eleonora A Festen,1 Ramnik J Xavier,10,11 Jingyuan Fu,2,12 Mark J Daly,3 Cisca Wijmenga,2 Alexandra Zhernakova,2 Alexander Kurilshikov,2 Rinse K Weersma 1 ► Additional material is ABSTRact published online only. To view Objective Both the gut microbiome and host genetics Significance of this study please visit the journal online are known to play significant roles in the pathogenesis (http:// dx. doi. org/ 10. 1136/ What is already known about this subject? gutjnl- 2019- 319706). of IBD. However, the interaction between these two factors and its implications in the aetiology of IBD remain ► Gene–microbiome interactions are important in For numbered affiliations see the pathogenesis of IBD. end of article. underexplored. Here, we report on the influence of host genetics on the gut microbiome in IBD. ► Multiple genetic and epidemiological factors have been identified to be associated to Correspondence to Design To evaluate the impact of host genetics on Professor Rinse K Weersma; the gut microbiota of patients with IBD, we combined changes in gut microbiome homeostasis in both r. -
Immune-Checkpoint Blockade Therapy in Lymphoma
International Journal of Molecular Sciences Review Immune-Checkpoint Blockade Therapy in Lymphoma Ayumi Kuzume 1,2, SungGi Chi 1 , Nobuhiko Yamauchi 1 and Yosuke Minami 1,* 1 Department of Hematology, National Cancer Center Hospital East, Kashiwa 277–8577, Japan; [email protected] (A.K.); [email protected] (S.C.); [email protected] (N.Y.) 2 Department of Hematology, Kameda Medical Center, Kamogawa 296–8602, Japan * Correspondence: [email protected]; Tel.: +81-4-7133-1111; Fax: +81-7133-6502 Received: 11 June 2020; Accepted: 28 July 2020; Published: 30 July 2020 Abstract: Tumor cells use immune-checkpoint pathways to evade the host immune system and suppress immune cell function. These cells express programmed cell-death protein 1 ligand 1 (PD-L1)/PD-L2, which bind to the programmed cell-death protein 1 (PD-1) present on cytotoxic T cells, trigger inhibitory signaling, and reduce cytotoxicity and T-cell exhaustion. Immune-checkpoint blockade can inhibit this signal and may serve as an effective therapeutic strategy in patients with solid tumors. Several trials have been conducted on immune-checkpoint inhibitor therapy in patients with malignant lymphoma and their efficacy has been reported. For example, in Hodgkin lymphoma, immune-checkpoint blockade has resulted in response rates of 65% to 75%. However, in non-Hodgkin lymphoma, the response rate to immune-checkpoint blockade was lower. In this review, we evaluate the biology of immune-checkpoint inhibition and the current data on its efficacy in malignant lymphoma, and identify the cases in which the treatment was more effective. -
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 -
Targeting Costimulatory Molecules in Autoimmune Disease
Targeting costimulatory molecules in autoimmune disease Natalie M. Edner1, Gianluca Carlesso2, James S. Rush3 and Lucy S.K. Walker1 1Institute of Immunity & Transplantation, Division of Infection & Immunity, University College London, Royal Free Campus, London, UK NW3 2PF 2Early Oncology Discovery, Early Oncology R&D, AstraZeneca, Gaithersburg, MD, USA 3Autoimmunity, Transplantation and Inflammation Disease Area, Novartis Institutes for Biomedical Research, Basel, Switzerland *Correspondence: Professor Lucy S.K. Walker. Institute of Immunity & Transplantation, Division of Infection & Immunity, University College London, Royal Free Campus, London, UK NW3 2PF. Tel: +44 (0)20 7794 0500 ext 22468. Email: [email protected]. 1 Abstract Therapeutic targeting of immune checkpoints has garnered significant attention in the area of cancer immunotherapy, and efforts have focused in particular on the CD28 family members CTLA-4 and PD-1. In autoimmunity, these same pathways can be targeted to opposite effect, to curb the over- exuberant immune response. The CTLA-4 checkpoint serves as an exemplar, whereby CTLA-4 activity is blocked by antibodies in cancer immunotherapy and augmented by the provision of soluble CTLA-4 in autoimmunity. Here we review the targeting of costimulatory molecules in autoimmune disease, focusing in particular on the CD28 family and TNFR family members. We present the state-of-the-art in costimulatory blockade approaches, including rational combinations of immune inhibitory agents, and discuss the future opportunities and challenges in this field. 2 The risk of autoimmune disease is an inescapable consequence of the manner in which the adaptive immune system operates. To ensure effective immunity against a diverse array of unknown pathogens, antigen recognition systems based on random gene rearrangement and mutagenesis have evolved to anticipate the antigenic universe. -
Epigenomic Signatures in Liver and Blood of Wilson Disease Patients Include Hypermethylation of Liver‑Specifc Enhancers Charles E
Mordaunt et al. Epigenetics & Chromatin (2019) 12:10 https://doi.org/10.1186/s13072-019-0255-z Epigenetics & Chromatin RESEARCH Open Access Epigenomic signatures in liver and blood of Wilson disease patients include hypermethylation of liver-specifc enhancers Charles E. Mordaunt1, Dorothy A. Kiefer2, Noreene M. Shibata2, Anna Członkowska3, Tomasz Litwin3, Karl‑Heinz Weiss4, Yihui Zhu1, Christopher L. Bowlus2, Souvik Sarkar2, Stewart Cooper5, Yu‑Jui Yvonne Wan6, Mohamed R. Ali7, Janine M. LaSalle1† and Valentina Medici2*† Abstract Background: Wilson disease (WD) is an autosomal recessive disease caused by mutations in ATP7B encoding a copper transporter. Consequent copper accumulation results in a variable WD clinical phenotype involving hepatic, neurologic, and psychiatric symptoms, without clear genotype–phenotype correlations. The goal of this study was to analyze alterations in DNA methylation at the whole‑genome level in liver and blood from patients with WD to investigate epigenomic alterations associated with WD diagnosis and phenotype. We used whole‑genome bisulfte sequencing (WGBS) to examine distinct cohorts of WD subjects to determine whether DNA methylation could dif‑ ferentiate patients from healthy subjects and subjects with other liver diseases and distinguish between diferent WD phenotypes. Results: WGBS analyses in liver identifed 969 hypermethylated and 871 hypomethylated diferentially methyl‑ ated regions (DMRs) specifcally identifying patients with WD, including 18 regions with genome‑wide signifcance. WD‑specifc liver DMRs were associated with genes enriched for functions in folate and lipid metabolism and acute infammatory response and could diferentiate early from advanced fbrosis in WD patients. Functional annotation revealed that WD‑hypermethylated liver DMRs were enriched in liver‑specifc enhancers, fanking active liver pro‑ moters, and binding sites of liver developmental transcription factors, including Hepatocyte Nuclear Factor 4 alpha (HNF4A), Retinoid X Receptor alpha (RXRA), Forkhead Box A1 (FOXA1), and FOXA2. -
A Transient Role of the Ciliary Gene Inpp5e in Controlling Direct Versus
RESEARCH ARTICLE A transient role of the ciliary gene Inpp5e in controlling direct versus indirect neurogenesis in cortical development Kerstin Hasenpusch-Theil1,2, Christine Laclef3†, Matt Colligan1, Eamon Fitzgerald1, Katherine Howe1, Emily Carroll1, Shaun R Abrams4, Jeremy F Reiter4,5, Sylvie Schneider-Maunoury3, Thomas Theil1,2* 1Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; 2Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, United Kingdom; 3Sorbonne Universite´, CNRS UMR7622, INSERM U1156, Institut de Biologie Paris Seine (IBPS) - Developmental Biology Unit, Paris, France; 4Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States; 5Chan Zuckerberg Biohub, San Francisco, United States Abstract During the development of the cerebral cortex, neurons are generated directly from radial glial cells or indirectly via basal progenitors. The balance between these division modes determines the number and types of neurons formed in the cortex thereby affecting cortical functioning. Here, we investigate the role of primary cilia in controlling the decision between forming neurons directly or indirectly. We show that a mutation in the ciliary gene Inpp5e leads to a transient increase in direct neurogenesis and subsequently to an overproduction of layer V *For correspondence: neurons in newborn mice. Loss of Inpp5e also affects ciliary structure coinciding with reduced Gli3 [email protected] repressor levels. Genetically restoring Gli3 repressor rescues the decreased indirect neurogenesis Present address: †Sorbonne in Inpp5e mutants. Overall, our analyses reveal how primary cilia determine neuronal subtype Universite´, Institut du Fer a` composition of the cortex by controlling direct versus indirect neurogenesis. These findings have Moulin INSERM U1270, Paris, implications for understanding cortical malformations in ciliopathies with INPP5E mutations. -
Pancancer IO360 Human Vapril2018
Gene Name Official Full Gene name Alias/Prev Symbols Previous Name(s) Alias Symbol(s) Alias Name(s) A2M alpha-2-macroglobulin FWP007,S863-7,CPAMD5 ABCF1 ATP binding cassette subfamily F member 1 ABC50 ATP-binding cassette, sub-family F (GCN20),EST123147 member 1 ACVR1C activin A receptor type 1C activin A receptor, type IC ALK7,ACVRLK7 ADAM12 ADAM metallopeptidase domain 12 a disintegrin and metalloproteinase domainMCMPMltna,MLTN 12 (meltrin alpha) meltrin alpha ADGRE1 adhesion G protein-coupled receptor E1 TM7LN3,EMR1 egf-like module containing, mucin-like, hormone receptor-like sequence 1,egf-like module containing, mucin-like, hormone receptor-like 1 ADM adrenomedullin AM ADORA2A adenosine A2a receptor ADORA2 RDC8 AKT1 AKT serine/threonine kinase 1 v-akt murine thymoma viral oncogene homologRAC,PKB,PRKBA,AKT 1 ALDOA aldolase, fructose-bisphosphate A aldolase A, fructose-bisphosphate ALDOC aldolase, fructose-bisphosphate C aldolase C, fructose-bisphosphate ANGPT1 angiopoietin 1 KIAA0003,Ang1 ANGPT2 angiopoietin 2 Ang2 ANGPTL4 angiopoietin like 4 angiopoietin-like 4 pp1158,PGAR,ARP4,HFARP,FIAF,NL2fasting-induced adipose factor,hepatic angiopoietin-related protein,PPARG angiopoietin related protein,hepatic fibrinogen/angiopoietin-related protein,peroxisome proliferator-activated receptor (PPAR) gamma induced angiopoietin-related protein,angiopoietin-related protein 4 ANLN anillin actin binding protein anillin (Drosophila Scraps homolog), actin bindingANILLIN,Scraps,scra protein,anillin, actin binding protein (scraps homolog, Drosophila) -
The Indoleamine 2,3 Dioxygenase Pathway Drives Intratumoral B Cell
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.25.456776; this version posted August 27, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The indoleamine 2,3 dioxygenase pathway drives intratumoral B cell maintenance. by Burles A. Johnson III1,2,3, Adam K. Aragaki2, Donna M. Williams3, Ophelia Rogers3, Jack Mountain2, Li Luo3, Wenhao Zhang3, Lingling Xian3, Mingxiao Feng2, Lionel Chia3, Dominic Dordai4, Noah M. Hahn1,2, Stephen Desiderio4, Theodore S. Johnson5, David J. McConkey2, and Linda M.S. Resar1,3,6. 1Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 2Johns Hopkins Greenberg Bladder Cancer Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Park 219, Baltimore, MD 21287 3Division of Hematology, Department of Medicine, Johns Hopkins University School of Medicine, 720 Rutland Avenue, Ross Research Building, Room 1025, Baltimore, MD 21205 4Institute for Basic Biomedical Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205 5Georgia Cancer Center and Department of Pediatrics, Augusta University, 1120 15th Street, Augusta, GA 30912 6Department of Pathology and Institute for Cellular Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205 Abstract: 219 words; Manuscript Text: 4929 words Correspondence: [email protected] or [email protected] Abbreviations: IDO1, indoleamine 2,3 dioxygenase-1; Bregs, regulatory B cells, Tregs, regulatory T cells; LLC, Lewis Lung Carcinoma; PD-1/L, programmed cell death protein-1/ligand; APCs, antigen presenting cells; MDSCs, myeloid derived suppressor cells; IL, interleukin. bioRxiv preprint doi: https://doi.org/10.1101/2021.08.25.456776; this version posted August 27, 2021. -
Methylation Epigenetic Landscape of Cpg DNA Defining CD4 T Cell Memory By
The Journal of Immunology Defining CD4 T Cell Memory by the Epigenetic Landscape of CpG DNA Methylation H. Kiyomi Komori, Traver Hart, Sarah A. LaMere, Pamela V. Chew, and Daniel R. Salomon Memory T cells are primed for rapid responses to Ag; however, the molecular mechanisms responsible for priming remain incom- pletely defined. CpG methylation in promoters is an epigenetic modification, which regulates gene transcription. Using targeted bisulfite sequencing, we examined methylation of 2100 genes (56,000 CpGs) mapped by deep sequencing of T cell activation in human naive and memory CD4 T cells. Four hundred sixty-six CpGs (132 genes) displayed differential methylation between naive and memory cells. Twenty-one genes exhibited both differential methylation and gene expression before activation, linking pro- moter DNA methylation states to gene regulation; 6 of 21 genes encode proteins closely studied in T cells, whereas 15 genes represent novel targets for further study. Eighty-four genes demonstrated differential methylation between memory and naive cells that cor- related to differential gene expression following activation, of which 39 exhibited reduced methylation in memory cells coupled with increased gene expression upon activation compared with naive cells. These reveal a class of primed genes more rapidly expressed in memory compared with naive cells and putatively regulated by DNA methylation. These findings define a DNA methylation sig- nature unique to memory CD4 T cells that correlates with activation-induced gene expression. The Journal of Immunology, 2015, 194: 1565–1579. ifferentiation into fast-acting memory cells following Ag have a demethylated IL-4 gene promoter (10), do not express IFN-g, recognition is a central tenet of T cell immunology.