Tacrolimus Prevents TWEAK-Induced PLA2R Expression in Cultured Human Podocytes
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A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
CD226 T Cells Expressing the Receptors TIGIT and Divergent Phenotypes of Human Regulatory
The Journal of Immunology Divergent Phenotypes of Human Regulatory T Cells Expressing the Receptors TIGIT and CD226 Christopher A. Fuhrman,*,1 Wen-I Yeh,*,1 Howard R. Seay,* Priya Saikumar Lakshmi,* Gaurav Chopra,† Lin Zhang,* Daniel J. Perry,* Stephanie A. McClymont,† Mahesh Yadav,† Maria-Cecilia Lopez,‡ Henry V. Baker,‡ Ying Zhang,x Yizheng Li,{ Maryann Whitley,{ David von Schack,x Mark A. Atkinson,* Jeffrey A. Bluestone,‡ and Todd M. Brusko* Regulatory T cells (Tregs) play a central role in counteracting inflammation and autoimmunity. A more complete understanding of cellular heterogeneity and the potential for lineage plasticity in human Treg subsets may identify markers of disease pathogenesis and facilitate the development of optimized cellular therapeutics. To better elucidate human Treg subsets, we conducted direct transcriptional profiling of CD4+FOXP3+Helios+ thymic-derived Tregs and CD4+FOXP3+Helios2 T cells, followed by comparison with CD4+FOXP32Helios2 T conventional cells. These analyses revealed that the coinhibitory receptor T cell Ig and ITIM domain (TIGIT) was highly expressed on thymic-derived Tregs. TIGIT and the costimulatory factor CD226 bind the common ligand CD155. Thus, we analyzed the cellular distribution and suppressive activity of isolated subsets of CD4+CD25+CD127lo/2 T cells expressing CD226 and/or TIGIT. We observed TIGIT is highly expressed and upregulated on Tregs after activation and in vitro expansion, and is associated with lineage stability and suppressive capacity. Conversely, the CD226+TIGIT2 population was associated with reduced Treg purity and suppressive capacity after expansion, along with a marked increase in IL-10 and effector cytokine production. These studies provide additional markers to delineate functionally distinct Treg subsets that may help direct cellular therapies and provide important phenotypic markers for assessing the role of Tregs in health and disease. -
Single-Cell RNA Sequencing Demonstrates the Molecular and Cellular Reprogramming of Metastatic Lung Adenocarcinoma
ARTICLE https://doi.org/10.1038/s41467-020-16164-1 OPEN Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma Nayoung Kim 1,2,3,13, Hong Kwan Kim4,13, Kyungjong Lee 5,13, Yourae Hong 1,6, Jong Ho Cho4, Jung Won Choi7, Jung-Il Lee7, Yeon-Lim Suh8,BoMiKu9, Hye Hyeon Eum 1,2,3, Soyean Choi 1, Yoon-La Choi6,10,11, Je-Gun Joung1, Woong-Yang Park 1,2,6, Hyun Ae Jung12, Jong-Mu Sun12, Se-Hoon Lee12, ✉ ✉ Jin Seok Ahn12, Keunchil Park12, Myung-Ju Ahn 12 & Hae-Ock Lee 1,2,3,6 1234567890():,; Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell tran- scriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. 1 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea. -
Downloaded and Further Processed with the R Programming Language ( and Bioconductor ( Software
bioRxiv preprint doi: https://doi.org/10.1101/801530; this version posted October 13, 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-NC 4.0 International license. An integrated multi-omic single cell atlas to redefine human B cell memory David R. Glass,1,2,5 Albert G. Tsai,2,5 John Paul Oliveria,2,3 Felix J. Hartmann,2 Samuel C. Kimmey,2,4 Ariel A. Calderon,1,2 Luciene Borges,2 Sean C. Bendall1,2,6,* 1Immunology Graduate Program, Stanford University, Stanford, CA, 94305, USA 2Department of Pathology, Stanford University, Stanford, CA, 94305, USA 3Department of Medicine, Division of Respirology, McMaster University, Hamilton, ON, L8S4K1, Canada 4Department of Developmental Biology, Stanford, University, Stanford CA, 94305, USA 5Co-first author 6Lead Author *Correspondence: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/801530; this version posted October 13, 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-NC 4.0 International license. Abstract: To evaluate the impact of heterogeneous B cells in health and disease, comprehensive profiling is needed at a single cell resolution. We developed a highly- multiplexed screen to quantify the co-expression of 351 surface molecules on low numbers of primary cells. We identified dozens of differentially expressed molecules and aligned their variance with B cell isotype usage, metabolism, biosynthesis activity, and signaling response. -
Single-Cell Analysis of Crohn's Disease Lesions Identifies
bioRxiv preprint doi: https://doi.org/10.1101/503102; this version posted December 20, 2018. 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. Single-cell analysis of Crohn’s disease lesions identifies a pathogenic cellular module associated with resistance to anti-TNF therapy JC Martin1,2,3, G Boschetti1,2,3, C Chang1,2,3, R Ungaro4, M Giri5, LS Chuang5, S Nayar5, A Greenstein6, M. Dubinsky7, L Walker1,2,5,8, A Leader1,2,3, JS Fine9, CE Whitehurst9, L Mbow9, S Kugathasan10, L.A. Denson11, J.Hyams12, JR Friedman13, P Desai13, HM Ko14, I Laface1,2,8, Guray Akturk1,2,8, EE Schadt15,16, S Gnjatic1,2,8, A Rahman1,2,5,8, , M Merad1,2,3,8,17,18*, JH Cho5,17,*, E Kenigsberg1,15,16,17* 1 Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 2 Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 3 Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 4 The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA. 5 Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 6 Department of Colorectal Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 7 Department of Pediatrics, Susan and Leonard Feinstein IBD Clinical Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. -
Adipocytes As Immune Cells: Differential Expression of TWEAK
Adipocytes as Immune Cells: Differential Expression of TWEAK, BAFF, and APRIL and Their Receptors (Fn14, BAFF-R, TACI, and BCMA) at Different Stages of Normal This information is current as and Pathological Adipose Tissue of September 26, 2021. Development Vassilia-Ismini Alexaki, George Notas, Vassiliki Pelekanou, Marilena Kampa, Maria Valkanou, Panayiotis Theodoropoulos, Efstathios N. Stathopoulos, Andreas Tsapis Downloaded from and Elias Castanas J Immunol published online 14 October 2009 http://www.jimmunol.org/content/early/2009/10/14/jimmuno l.0901186 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2009/10/13/jimmunol.090118 Material 6.DC1 Why The JI? Submit online. by guest on September 26, 2021 • 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 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. Published October 14, 2009, doi:10.4049/jimmunol.0901186 The Journal of Immunology Adipocytes as Immune Cells: Differential Expression of TWEAK, BAFF, and APRIL and Their Receptors (Fn14, BAFF-R, TACI, and BCMA) at Different Stages of Normal and Pathological Adipose Tissue Development1 Vassilia-Ismini Alexaki,* George Notas,* Vassiliki Pelekanou,2* Marilena Kampa,* Maria Valkanou,* Panayiotis Theodoropoulos,† Efstathios N. -
Biolegend.Com
Mechanisms of Cell Death TRAIL (TNFSF10) TNF-α Death Receptor 4 (TNFRSF10A/TRAIL-R1) Death Receptor 5 Zombie Dyes (TNFRSF10B/TRAIL-R2) Propidium Iodide (PI) BAT1, TIM-4 TNF RI (TNFRSF1A) 7-Amino-Actinomycin (7-AAD) MER TNF RII (TNFRSF1B) FAS-L GAS6 (TNFSF6/CD178) TRAIL (TNFSF10) Apoptotic Cell Death Domain Zombie Dyes Phosphatidylserine K63 Ubiquitin NH2 Removal ICAM3? ROCK1 NH CD14 2 Eat-Me Signals FAS Death Inducing Cytoskeletal Rearrangement, (TNFRSF6/CD95) Signaling Complex (DISC) TRADD Cytoskeletal Rearrangement, TRADD Decoy Receptor 2 FADD (TNFRSF10D/TRAIL-R4) Actomysin Contraction Engulfment RIP1 TWEAK RIP1 oxLDL (TNFSF12) FADD CIAP1/2 K63 Ubiquitination Blebbing CD36 Death Receptor 3 TWEAK (TNFSF12) PI FADD (TNFRSF25, APO-3) 7-AAD TRAF1 FADD Procaspase 8,10 TRAF 3 Phagocyte FLIP PANX1 Macrophage Monocyte Neutrophil Dendritic Cell Fibroblast Mast Cell Procaspase 8,10 NF-kB TWEAK-R (TNFRSF12A/Fn14) Find-Me Signals Lysophosphocholine C Caspase 8,10 TRAF5 TRAF2 Sphingosine-1-Phosphate G2A? Nucleotides A Decoy TRAIL Receptor R1 (TNFRSF23) Bid Cell Survival ATP, UTP Decoy TRAIL Receptor R2 (TNFRSF22) Sphingosine-1 TRADD Phosphate Receptor Decoy Receptor 1 (TNFRSF10C/TRAIL-R3) Procaspase 3 Proliferation RIP1 G P2y2 t-Bid Bcl-2 T Chemotaxis, Caspase 3 Bcl-2-xL, MCL-1 ? ICAD RIP1 Engulfment Degradation Bax, Bak Oligomerization TRADD Death Receptor 6 Extracellular ATP Bacterial pore-forming toxins TRAIL (TNFSF10) ICAD (TNFRSF21) Monosodium urate crystals Cholesterol crystals Death Receptor DNA Fragmentation Cholera toxin B, Mitochondria -
A 39-Kda Protein on Activated Helper T Cells Binds CD40 and Transduces the Signal for Cognate Activation of B Cells RANDOLPH J
Proc. Natl. Acad. Sci. USA Vol. 89, pp. 6550-6554, July 1992 Immunology A 39-kDa protein on activated helper T cells binds CD40 and transduces the signal for cognate activation of B cells RANDOLPH J. NOELLE*t, MEENAKSHI RoY*, DAVID M. SHEPHERD*, IVAN STAMENKOVICO, JEFFREY A. LEDBETTER§, AND ALEJANDRO ARUFFO§ *Department of Microbiology, Dartmouth Medical School, One Medical Center Drive, Lebanon, NH 03756; *Bristol-Myers Squibb Pharmaceutical Research Institute, Seattle, WA 98121; and *Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 Communicated by Leon E. Rosenberg, April 22, 1992 (receivedfor review February 5, 1992) ABSTRACT CD40 is a B-cell surface molecule that has MATERIALS AND METHODS been shown to induce B-cell growth upon ligation with mono- clonal antibodies. This report shows that triggering via CD40 Mice. Female DBA/2J mice (The Jackson Laboratory) is essential for the activation of resting B cells by helper T cells were used for the preparation of filler cells to support the (Th). A soluble fusion protein of CD40 and human immuno- growth of Th clones and in the preparation of resting B cells. globulin, CD40-Ig, inhibited the induction ofB-cell cycle entry, Th Clones. D1.6, an I-Ad-restricted, rabbit Ig-specific ThO proliferation, and differentiation by activated Thi and Tb2. clone, and CDC35, an I-Ad-restricted, rabbit Ig-specific Th2 The ligand for CD40 was identified as a 39-kDa membrane clone, were obtained from David Parker (University of protein that was selectively expressed on activated Tb. A Massachusetts, Worcester). In this paper, D1.6 will be re- monoclonal antibody specific for the 39-kDa protein inhibited ferred to as Thl and CDC35 as Tb2 (7). -
A System Based-Approach to Examine Cytokine Response in Poxvirus-Infected Macrophages
viruses Article A System Based-Approach to Examine Cytokine Response in Poxvirus-Infected Macrophages Pui-San Wong 1,†, Richard Sutejo 2,†,‡, Hui Chen 2,§ , Sock-Hoon Ng 1, Richard J. Sugrue 2 and Boon-Huan Tan 1,3,* 1 Defence Medical and Environmental Research Institute, DSO National Labs, Singapore 117510, Singapore; [email protected] (P.-S.W.); [email protected] (S.-H.N.) 2 School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore; [email protected] (R.S.); [email protected] (H.C.); [email protected] (R.J.S.) 3 Infection and Immunity, LKC School of Medicine, Nanyang Technological University, Singapore 308232, Singapore * Correspondence: [email protected]; Tel: +65-64857238 † These authors contributed equally to this work. ‡ Current address: International Institute for life Sciences, Jakarta Timur 13210, Indonesia. Received: 9 October 2018; Accepted: 30 November 2018; Published: 5 December 2018 Abstract: The poxviruses are large, linear, double-stranded DNA viruses about 130 to 230 kbp, that have an animal origin and evolved to infect a wide host range. Variola virus (VARV), the causative agent of smallpox, is a poxvirus that infects only humans, but other poxviruses such as monkey poxvirus and cowpox virus (CPXV) have crossed over from animals to infect humans. Therefore understanding the biology of poxviruses can devise antiviral strategies to prevent these human infections. In this study we used a system-based approach to examine the host responses to three orthopoxviruses, CPXV, vaccinia virus (VACV), and ectromelia virus (ECTV) in the murine macrophage RAW 264.7 cell line. -
High TNFRSF12A Level Associated with MMP-9 Overexpression Is
RESEARCH ARTICLE High TNFRSF12A level associated with MMP-9 overexpression is linked to poor prognosis in breast cancer: Gene set enrichment analysis and validation in large-scale cohorts Jungho Yang1, Kyueng-Whan Min2*, Dong-Hoon Kim1*, Byoung Kwan Son3, Kyoung Min Moon4, Young Chan Wi5, Seong Sik Bang5, Young Ha Oh2, Sung-Im Do1, Seoung Wan Chae1, Sukjoong Oh6, Young Hwan Kim7, Mi Jung Kwon8 a1111111111 1 Departments of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, a1111111111 Seoul, Republic of Korea, 2 Department of Pathology, Hanyang University Guri Hospital, Hanyang University a1111111111 College of Medicine, Guri, Gyeonggi-do, Republic of Korea, 3 Department of Internal Medicine, Eulji Hospital, a1111111111 Eulji University School of Medicine, Seoul, Republic of Korea, 4 Department of Internal Medicine, Gangneung a1111111111 Asan Hospital, University of Ulsan College of Medicine, Gangneung, Republic of Korea, 5 Department of Pathology, Hanyang University College of Medicine, Seoul, Republic of Korea, 6 Departments of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea, 7 Departments of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea, 8 Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Gyeonggi-do, Republic of Korea OPEN ACCESS * [email protected](KWM); [email protected](DHK) Citation: Yang J, Min K-W, Kim D-H, Son BK, Moon KM, Wi YC, et al. (2018) High TNFRSF12A level associated with MMP-9 overexpression is linked to poor prognosis in breast cancer: Gene set Abstract enrichment analysis and validation in large-scale cohorts. -
Double-Negative (CD27-Igd-) B Cells Are Expanded in NSCLC And
Centuori et al. J Transl Med (2018) 16:30 https://doi.org/10.1186/s12967-018-1404-z Journal of Translational Medicine RESEARCH Open Access Double‑negative (CD27−IgD−) B cells are expanded in NSCLC and inversely correlate with afnity‑matured B cell populations Sara M. Centuori1, Cecil J. Gomes2, Samuel S. Kim3, Charles W. Putnam1,3, Brandon T. Larsen4, Linda L. Garland1,5, David W. Mount6 and Jesse D. Martinez1,7* Abstract Background: The presence of B cells in early stage non-small cell lung cancer (NSCLC) is associated with longer survival, however, the role these cells play in the generation and maintenance of anti-tumor immunity is unclear. B cells diferentiate into a variety of subsets with difering characteristics and functions. To date, there is limited informa- tion on the specifc B cell subsets found within NSCLC. To better understand the composition of the B cell populations found in NSCLC we have begun characterizing B cells in lung tumors and have detected a population of B cells that are CD79A+CD27−IgD−. These CD27−IgD− (double-negative) B cells have previously been characterized as uncon- ventional memory B cells and have been detected in some autoimmune diseases and in the elderly population but have not been detected previously in tumor tissue. Methods: A total of 15 fresh untreated NSCLC tumors and 15 matched adjacent lung control tissues were dissociated and analyzed by intracellular fow cytometry to detect the B cell-related markers CD79A, CD27 and IgD. All CD79A+ B cells subsets were classifed as either naïve (CD27−IgD+), afnity-matured (CD27+IgD−), early memory/germinal center cells (CD27+IgD+) or double-negative B cells (CD27−IgD−). -
Defining Molecular Adjuvant Effects on Human B Cell Subsets
DEFINING MOLECULAR ADJUVANT EFFECTS ON HUMAN B CELL SUBSETS A DISSERTATION SUBMITTED TO THE GRADUATE DIVISION OF THE UNIVERSITY OF HAWAIʻI AT MĀNOA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN BIOMEDICAL SCIENCES (TROPICAL MEDICINE) August 2019 By Jourdan Posner Dissertation Committee: Sandra P. Chang, Chairperson George Hui Saguna Verma William Gosnell Alan Katz ACKNOWLEDGMENTS First and foremost, I would like to express my gratitude to my PhD advisor and mentor, Dr. Sandra Chang. Her passion for science, scientific rigor, and inquisitive nature have been an inspiration to me. I am very grateful for her continuous support and mentorship. I would also like to thank my committee members, Dr. George Hui, Dr. Saguna Verma, Dr. William Gosnell, and Dr. Alan Katz, for their advice and support on this dissertation work. To my parasitology “dads”, Dr. Kenton Kramer and Dr. William Gosnell, I am forever grateful for all of the opportunities you’ve given to me. Your mentorship has guided me through the doctoral process and helped me to maintain “homeostasis”. Last, but not least, I’d like to thank my parents and brother who have been so supportive throughout my entire graduate career. I greatly appreciate all of the encouraging words and for always believing in me. And to my future husband, Ian, I could not have completed this dissertation work without your endless support. You are my rock. ii ABSTRACT Recent advances in vaccine development include the incorporation of novel adjuvants to increase vaccine immunogenicity and efficacy. Pattern recognition receptor (PRR) ligands are of particular interest as vaccine adjuvants.