Functional Elements Within Card11's Inhibitory Domain Dictate
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
The CARMA3-Bcl10-MALT1 Signalosome Drives NF-Κb Activation and Promotes Aggressiveness in Angiotensin II Receptor-Positive Breast Cancer
Author Manuscript Published OnlineFirst on December 19, 2017; DOI: 10.1158/0008-5472.CAN-17-1089 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Molecular and Cellular Pathobiology .. The CARMA3-Bcl10-MALT1 Signalosome Drives NF-κB Activation and Promotes Aggressiveness in Angiotensin II Receptor-positive Breast Cancer. Prasanna Ekambaram1, Jia-Ying (Lloyd) Lee1, Nathaniel E. Hubel1, Dong Hu1, Saigopalakrishna Yerneni2, Phil G. Campbell2,3, Netanya Pollock1, Linda R. Klei1, Vincent J. Concel1, Phillip C. Delekta4, Arul M. Chinnaiyan4, Scott A. Tomlins4, Daniel R. Rhodes4, Nolan Priedigkeit5,6, Adrian V. Lee5,6, Steffi Oesterreich5,6, Linda M. McAllister-Lucas1,*, and Peter C. Lucas1,* 1Departments of Pathology and Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 2Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 3McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 4Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan 5Women’s Cancer Research Center, Magee-Womens Research Institute, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania 6Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania Current address for P.C. Delekta: Department of Microbiology & Molecular Genetics, Michigan State University, East Lansing, Michigan Current address for D.R. Rhodes: Strata -
Α Are Regulated by Heat Shock Protein 90
The Levels of Retinoic Acid-Inducible Gene I Are Regulated by Heat Shock Protein 90- α Tomoh Matsumiya, Tadaatsu Imaizumi, Hidemi Yoshida, Kei Satoh, Matthew K. Topham and Diana M. Stafforini This information is current as of October 2, 2021. J Immunol 2009; 182:2717-2725; ; doi: 10.4049/jimmunol.0802933 http://www.jimmunol.org/content/182/5/2717 Downloaded from References This article cites 44 articles, 19 of which you can access for free at: http://www.jimmunol.org/content/182/5/2717.full#ref-list-1 Why The JI? Submit online. http://www.jimmunol.org/ • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average by guest on October 2, 2021 Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2009 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology The Levels of Retinoic Acid-Inducible Gene I Are Regulated by Heat Shock Protein 90-␣1 Tomoh Matsumiya,*‡ Tadaatsu Imaizumi,‡ Hidemi Yoshida,‡ Kei Satoh,‡ Matthew K. Topham,*† and Diana M. Stafforini2*† Retinoic acid-inducible gene I (RIG-I) is an intracellular pattern recognition receptor that plays important roles during innate immune responses to viral dsRNAs. -
Utilization of Genomic Sequencing for Population Screening of Immunodeficiencies in the Newborn
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Utilization of genomic sequencing for population screening of immunodeficiencies in the newborn Ashleigh R. Pavey, MD1,2,3, Dale L. Bodian, PhD3, Thierry Vilboux, PhD3, Alina Khromykh, MD3, Natalie S. Hauser, MD3,4, Kathi Huddleston, PhD3, Elisabeth Klein, DNP3, Aaron Black, MS3, Megan S. Kane, PhD3, Ramaswamy K. Iyer, PhD3, John E. Niederhuber, MD3,5 and Benjamin D. Solomon, MD3,4,6 Purpose: Immunodeficiency screening has been added to many Results: WGS provides adequate coverage for most known state-directed newborn screening programs. The current metho- immunodeficiency-related genes. 13,476 distinct variants and dology is limited to screening for severe T-cell lymphopenia 8,502 distinct predicted protein-impacting variants were identified disorders. We evaluated the potential of genomic sequencing to in this cohort; five individuals carried potentially pathogenic augment current newborn screening for immunodeficiency, – variants requiring expert clinical correlation. One clinically including identification of non T cell disorders. asymptomatic individual was found genomically to have comple- Methods: We analyzed whole-genome sequencing (WGS) and ment component 9 deficiency. Of the symptomatic children, one clinical data from a cohort of 1,349 newborn–parent trios by was molecularly identified as having an immunodeficiency condi- genotype-first and phenotype-first approaches. For the genotype- tion and two were found to have other molecular diagnoses. first approach, we analyzed predicted protein-impacting variants in Conclusion: Neonatal genomic sequencing can potentially aug- 329 immunodeficiency-related genes in the WGS data. As a ment newborn screening for immunodeficiency. phenotype-first approach, electronic health records were used to identify children with clinical features suggestive of immunodefi- Genet Med advance online publication 15 June 2017 ciency. -
Nuclear BCL-10 Expression Is Common in Lymphoplasmacytic Lymphoma/Waldenstro¨ M Macroglobulinemia and Does Not Correlate with P65 NF-Jb Activation
Modern Pathology (2006) 19, 891–898 & 2006 USCAP, Inc All rights reserved 0893-3952/06 $30.00 www.modernpathology.org Nuclear BCL-10 expression is common in lymphoplasmacytic lymphoma/Waldenstro¨ m macroglobulinemia and does not correlate with p65 NF-jB activation Mihai Merzianu1, Liuyan Jiang2, Pei Lin1, Xuemei Wang3, Donna M Weber4, Saroj Vadhan-Raj5, Martin H Nguyen1, L Jeffrey Medeiros1 and Carlos E Bueso-Ramos1 1Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; 2Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; 3Department of Biostatistics and Applied Mathematics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; 4Department of Lymphoma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA and 5Department of Cytokine and Supportive Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA B-cell lymphoma 10 (BCL-10) is expressed in the cytoplasm of normal germinal center and marginal zone B- cells and is involved in lymphocyte development and activation. Aberrant nuclear expression of BCL-10 occurs in a subset of extranodal marginal zone B-cell lymphomas (MALT lymphomas), primarily those with the t(1;14)(p22;q32) or t(11;18)(q21;q21). Little is known about BCL-10 expression in lymphoplasmacytic lymphoma/ Waldenstro¨ m macroglobulinemia (LPL/WM). We assessed for BCL-10 in 51 bone marrow (BM) specimens involved by LPL/WM using immunohistochemical methods. All patients had monoclonal IgM in serum. Extent of BM involvement was assessed using PAX-5/BSAP and CD20 immunostains and the pattern and percentage of B-cells positive for BCL-10 was determined. -
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 -
An Association Study of TOLL and CARD with Leprosy Susceptibility in Chinese Population
Human Molecular Genetics, 2013, Vol. 22, No. 21 4430–4437 doi:10.1093/hmg/ddt286 Advance Access published on June 19, 2013 An association study of TOLL and CARD with leprosy susceptibility in Chinese population Hong Liu1,2,3,4,{, Fangfang Bao1,3,{, Astrid Irwanto5,6,{, Xi’an Fu1,3, Nan Lu1,3, Gongqi Yu1,3, Yongxiang Yu1,3, Yonghu Sun1,3, Huiqi Low5,YiLi5, Herty Liany5, Chunying Yuan1,3, Jinghui Li1,3, Jian Liu1,3, Mingfei Chen1,3, Huaxu Liu1,3, Na Wang1,3, Jiabao You1,3, Shanshan Ma1,3, Guiye Niu1,3, Yan Zhou1,3, Tongsheng Chu1,3, Hongqing Tian2,4, Shumin Chen1,3, Xuejun Zhang8,10, Jianjun Liu1,5,6,7 and Furen Zhang1,2,3,4,9,∗ 1Shandong Provincial Institute of Dermatology and Venereology, Shandong Academy of Medical Sciences, Shandong, China, 2Shandong Provincial Hospital for Skin Diseases, Shandong University, Shandong, China, 3Shandong Provincial Key Lab for Dermatovenereology, Shandong, China, 4Shandong Provincial Medical Center for Dermatovenereology, Shandong, China, 5Human Genetics, Genome Institute of Singapore, A∗STAR, Singapore, 6Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore 7Schoolof Life Sciences,AnhuiMedicalUniversity, Anhui, China, 8Institute of Dermatology and Department of Dermatology at No.1 hospital, Anhui Medical University, Anhui, China and 9Shandong Clinical College, Anhui Medical University, Anhui, China and 10State Key Laboratory Incubation Base of Dermatology, Ministry of National Science and Technology, Anhui Medical University, Anhui, China Received August 1, 2012; Revised May 29, 2013; Accepted June 12, 2013 Previous genome-wide association studies (GWASs) identified multiple susceptibility loci that have highlighted the important role of TLR (Toll-like receptor) and CARD (caspase recruitment domain) genes in leprosy. -
FRA2 Is a STAT5 Target Gene Regulated by IL-2 in Human CD4 T Cells
FRA2 Is a STAT5 Target Gene Regulated by IL-2 in Human CD4 T Cells Aradhana Rani1, Roseanna Greenlaw1, Manohursingh Runglall1, Stipo Jurcevic1*, Susan John2* 1 Division of Transplantation Immunology and Mucosal Biology, King’s College London, London, United Kingdom,2 Department of Immunobiology, King’s College London, London, United Kingdom Abstract Signal transducers and activators of transcription 5(STAT5) are cytokine induced signaling proteins, which regulate key immunological processes, such as tolerance induction, maintenance of homeostasis, and CD4 T-effector cell differentiation. In this study, transcriptional targets of STAT5 in CD4 T cells were studied by Chromatin Immunoprecipitation (ChIP). Genomic mapping of the sites cloned and identified in this study revealed the striking observation that the majority of STAT5-binding sites mapped to intergenic (.50 kb upstream) or intronic, rather than promoter proximal regions. Of the 105 STAT5 responsive binding sites identified, 94% contained the canonical (IFN-c activation site) GAS motifs. A number of putative target genes identified here are associated with tumor biology. Here, we identified Fos-related antigen 2 (FRA2) as a transcriptional target of IL-2 regulated STAT5. FRA2 is a basic -leucine zipper (bZIP) motif ‘Fos’ family transcription factor that is part of the AP-1 transcription factor complex and is also known to play a critical role in the progression of human tumours and more recently as a determinant of T cell plasticity. The binding site mapped to an internal intron within the FRA2 gene. The epigenetic architecture of FRA2, characterizes a transcriptionally active promoter as indicated by enrichment for histone methylation marks H3K4me1, H3K4me2, H3K4me3, and transcription/elongation associated marks H2BK5me1 and H4K20me1. -
New Tricks for Old Nods Eric M Pietras* and Genhong Cheng*†‡
Minireview New tricks for old NODs Eric M Pietras* and Genhong Cheng*†‡ Addresses: *Department of Microbiology, Immunology and Molecular Genetics, †Molecular Biology Institute, ‡Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA 90095, USA. Correspondence: Genhong Cheng. Email: [email protected] Published: 25 April 2008 Genome Biology 2008, 9:217 (doi:10.1186/gb-2008-9-4-217) The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2008/9/4/217 © 2008 BioMed Central Ltd Abstract Recent work has identified the human NOD-like receptor NLRX1 as a negative regulator of intracellular signaling leading to type I interferon production. Here we discuss these findings and the questions and implications they raise regarding the function of NOD-like receptors in the antiviral response. Upon infection with a pathogen, the host cell must recognize with a single amino-terminal CARD in the adaptor protein its presence, communicate this to neighboring cells and MAVS (also known as IPS-1, VISA or Cardif), which is tissues and initiate a biological response to limit the spread anchored to the outer mitochondrial membrane [4-7]. MAVS of infection and clear the pathogen. Recognition of invading complexes with the adaptor protein TRAF3, recruiting the microbes proceeds via specialized intracellular and extra- scaffold protein TANK and the IκB kinases (IKKs) TANK- cellular proteins termed pattern recognition receptors (PRRs), binding kinase 1 (TBK1) and IKKε, which activate the trans- which recognize conserved molecular motifs found on patho- cription factor IRF3. IRF3 activation leads to the trans- gens, known as pathogen-associated molecular patterns criptional activation of a number of antiviral genes, includ- (PAMPs). -
An Overview on Diffuse Large B-Cell Lymphoma Models: Towards a Functional Genomics Approach
cancers Review An Overview on Diffuse Large B-Cell Lymphoma Models: Towards a Functional Genomics Approach Natalia Yanguas-Casás 1,* , Lucía Pedrosa 1,2, Ismael Fernández-Miranda 1,2 and Margarita Sánchez-Beato 1,3,* 1 Lymphoma Research Group, Medical Oncology Department, Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA), C/Joaquín Rodrigo 2, Majadahonda, 28222 Madrid, Spain; [email protected] (L.P.); [email protected] (I.F.-M.) 2 PhD Programme in Molecular Biosciences, Doctorate School, Universidad Autónoma de Madrid, 28049 Madrid, Spain 3 Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain * Correspondence: [email protected] (N.Y.-C.); [email protected] (M.S.-B.) Simple Summary: Lymphoma research is a paradigm of integrating basic and applied research within the fields of molecular marker-based diagnosis and therapy. In recent years, major advances in next-generation sequencing have substantially improved the understanding of the genomics underlying diffuse large B-cell lymphoma (DLBCL), the most frequent type of B-cell lymphoma. This review addresses the various approaches that have helped unveil the biology and intricate alterations in this pathology, from cell lines to more sophisticated last-generation experimental models, such as organoids. We also provide an overview of the most recent findings in the field, their potential relevance for designing targeted therapies and the corresponding applicability to Citation: Yanguas-Casás, N.; personalized medicine. Pedrosa, L.; Fernández-Miranda, I.; Sánchez-Beato, M. An Overview on Abstract: Lymphoma research is a paradigm of the integration of basic and clinical research within Diffuse Large B-Cell Lymphoma the fields of diagnosis and therapy. -
Whole-Exome Sequencing of Metastatic Cancer and Biomarkers of Treatment Response
Supplementary Online Content Beltran H, Eng K, Mosquera JM, et al. Whole-exome sequencing of metastatic cancer and biomarkers of treatment response. JAMA Oncol. Published online May 28, 2015. doi:10.1001/jamaoncol.2015.1313 eMethods eFigure 1. A schematic of the IPM Computational Pipeline eFigure 2. Tumor purity analysis eFigure 3. Tumor purity estimates from Pathology team versus computationally (CLONET) estimated tumor purities values for frozen tumor specimens (Spearman correlation 0.2765327, p- value = 0.03561) eFigure 4. Sequencing metrics Fresh/frozen vs. FFPE tissue eFigure 5. Somatic copy number alteration profiles by tumor type at cytogenetic map location resolution; for each cytogenetic map location the mean genes aberration frequency is reported eFigure 6. The 20 most frequently aberrant genes with respect to copy number gains/losses detected per tumor type eFigure 7. Top 50 genes with focal and large scale copy number gains (A) and losses (B) across the cohort eFigure 8. Summary of total number of copy number alterations across PM tumors eFigure 9. An example of tumor evolution looking at serial biopsies from PM222, a patient with metastatic bladder carcinoma eFigure 10. PM12 somatic mutations by coverage and allele frequency (A) and (B) mutation correlation between primary (y- axis) and brain metastasis (x-axis) eFigure 11. Point mutations across 5 metastatic sites of a 55 year old patient with metastatic prostate cancer at time of rapid autopsy eFigure 12. CT scans from patient PM137, a patient with recurrent platinum refractory metastatic urothelial carcinoma eFigure 13. Tracking tumor genomics between primary and metastatic samples from patient PM12 eFigure 14. -
Regulation of Caspase-9 by Natural and Synthetic Inhibitors Kristen L
University of Massachusetts Amherst ScholarWorks@UMass Amherst Open Access Dissertations 5-2012 Regulation of Caspase-9 by Natural and Synthetic Inhibitors Kristen L. Huber University of Massachusetts Amherst, [email protected] Follow this and additional works at: https://scholarworks.umass.edu/open_access_dissertations Part of the Chemistry Commons Recommended Citation Huber, Kristen L., "Regulation of Caspase-9 by Natural and Synthetic Inhibitors" (2012). Open Access Dissertations. 554. https://doi.org/10.7275/jr9n-gz79 https://scholarworks.umass.edu/open_access_dissertations/554 This Open Access Dissertation is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Open Access Dissertations by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. REGULATION OF CASPASE-9 BY NATURAL AND SYNTHETIC INHIBITORS A Dissertation Presented by KRISTEN L. HUBER Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY MAY 2012 Chemistry © Copyright by Kristen L. Huber 2012 All Rights Reserved REGULATION OF CASPASE-9 BY NATURAL AND SYNTHETIC INHIBITORS A Dissertation Presented by KRISTEN L. HUBER Approved as to style and content by: _________________________________________ Jeanne A. Hardy, Chair _________________________________________ Lila M. Gierasch, Member _________________________________________ Robert M. Weis, -
Defining the Relevant Combinatorial Space of the PKC/CARD-CC Signal Transduction Nodes
bioRxiv preprint doi: https://doi.org/10.1101/228767; this version posted May 2, 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. Defining the relevant combinatorial space of the PKC/CARD-CC signal transduction nodes Jens Staal1,2,*, Yasmine Driege1,2, Mira Haegman1,2, Styliani Iliaki1,2, Domien Vanneste1,2, Inna Affonina1,2, Harald Braun1,2, Rudi Beyaert1,2 1 Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium, 2 VIB-UGent Center for Inflammation Research, Unit of Molecular Signal Transduction in Inflammation, VIB, Ghent, Belgium. * corresponding author: [email protected] Running title: PKC/CARD-CC signaling Abbreviations: Bcl10 = B Cell CLL/Lymphoma 10 CARD = Caspase activation and recruitment domain CC = Coiled-coil domain MALT1 = Mucosa-associated lymphoid tissue lymphoma translocation protein 1 PKC = protein kinase C Keywords: Inflammation, cancer, NF-kappaB, paracaspase Conflict of interests: The authors declare no conflict of interest. bioRxiv preprint doi: https://doi.org/10.1101/228767; this version posted May 2, 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. Abstract Biological signal transduction typically display a so-called bow-tie or hour glass topology: Multiple receptors lead to multiple cellular responses but the signals all pass through a narrow waist of central signaling nodes.