CD4 T-Cell Cytokines Synergize to Induce Proliferation of Malignant and Nonmalignant Innate Intraepithelial Lymphocytes
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IDENTIFICATION of CELL SURFACE MARKERS WHICH CORRELATE with SALL4 in a B-CELL ACUTE LYMPHOBLASTIC LEUKEMIA with T(8;14)
IDENTIFICATION of CELL SURFACE MARKERS WHICH CORRELATE WITH SALL4 in a B-CELL ACUTE LYMPHOBLASTIC LEUKEMIA WITH T(8;14) DISCOVERED THROUGH BIOINFORMATIC ANALYSIS of MICROARRAY GENE EXPRESSION DATA The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:38962442 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA ,'(17,),&$7,21 2) &(// 685)$&( 0$5.(56 :+,&+ &255(/$7( :,7+ 6$// ,1 $ %&(// $&87( /<03+2%/$67,& /(8.(0,$ :,7+ W ',6&29(5(' 7+528*+ %,2,1)250$7,& $1$/<6,6 2) 0,&52$55$< *(1( (;35(66,21 '$7$ 52%(57 3$8/ :(,1%(5* $ 7KHVLV 6XEPLWWHG WR WKH )DFXOW\ RI 7KH +DUYDUG 0HGLFDO 6FKRRO LQ 3DUWLDO )XOILOOPHQW RI WKH 5HTXLUHPHQWV IRU WKH 'HJUHH RI 0DVWHU RI 0HGLFDO 6FLHQFHV LQ ,PPXQRORJ\ +DUYDUG 8QLYHUVLW\ %RVWRQ 0DVVDFKXVHWWV -XQH Thesis Advisor: Dr. Li Chai Author: Robert Paul Weinberg Department of Pathology Candidate MMSc in Immunology Brigham and Womens’ Hospital Harvard Medical School 77 Francis Street 25 Shattuck Street Boston, MA 02215 Boston, MA 02215 IDENTIFICATION OF CELL SURFACE MARKERS WHICH CORRELATE WITH SALL4 IN A B-CELL ACUTE LYMPHOBLASTIC LEUKEMIA WITH TRANSLOCATION t(8;14) DISCOVERED THROUGH BIOINFORMATICS ANALYSIS OF MICROARRAY GENE EXPRESSION DATA Abstract Acute Lymphoblastic Leukemia (ALL) is the most common leukemia in children, causing signficant morbidity and mortality annually in the U.S. -
Role of IL-4 Receptor &Alpha
Role of IL-4 receptor a–positive CD41 T cells in chronic airway hyperresponsiveness Frank Kirstein, PhD, Natalie E. Nieuwenhuizen, PhD,* Jaisubash Jayakumar, PhD, William G. C. Horsnell, PhD, and Frank Brombacher, PhD Cape Town, South Africa, and Berlin, Germany Background: TH2 cells and their cytokines are associated with IL-17–producing T cells and, consequently, increased airway allergic asthma in human subjects and with mouse models of neutrophilia. allergic airway disease. IL-4 signaling through the IL-4 receptor Conclusion: IL-4–responsive T helper cells are dispensable for 1 a (IL-4Ra) chain on CD4 T cells leads to TH2 cell acute OVA-induced airway disease but crucial in maintaining differentiation in vitro, implying that IL-4Ra–responsive CD41 chronic asthmatic pathology. (J Allergy Clin Immunol T cells are critical for the induction of allergic asthma. However, 2016;137:1852-62.) mechanisms regulating acute and chronic allergen-specific T 2 H Key words: responses in vivo remain incompletely understood. TH2 cell, acute allergic airway disease, chronic asthma, Objective: This study defines the requirements for IL-4Ra– cytokine receptors, IL-4, IL-13, gene-deficient mice responsive CD41 T cells and the IL-4Ra ligands IL-4 and IL-13 in the development of allergen-specific TH2 responses during the Allergic asthma is a chronic inflammatory disease of the airways onset and chronic phase of experimental allergic airway disease. characterized by an inappropriate immune response to harmless Methods: Development of acute and chronic ovalbumin environmental antigens. T 2 cells regulate adaptive immune 1 H (OVA)–induced allergic asthma was assessed weekly in CD4 T responses to allergens, and their presence correlates with disease 2 cell–specific IL-4Ra–deficient BALB/c mice (LckcreIL-4Ra /lox) symptoms in human subjects and mice.1 IL-4 plays a crucial role and respective control mice in the presence or absence of IL-4 in the in vitro and in vivo differentiation of TH2 cells, suggesting or IL-13. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
List of Genes Used in Cell Type Enrichment Analysis
List of genes used in cell type enrichment analysis Metagene Cell type Immunity ADAM28 Activated B cell Adaptive CD180 Activated B cell Adaptive CD79B Activated B cell Adaptive BLK Activated B cell Adaptive CD19 Activated B cell Adaptive MS4A1 Activated B cell Adaptive TNFRSF17 Activated B cell Adaptive IGHM Activated B cell Adaptive GNG7 Activated B cell Adaptive MICAL3 Activated B cell Adaptive SPIB Activated B cell Adaptive HLA-DOB Activated B cell Adaptive IGKC Activated B cell Adaptive PNOC Activated B cell Adaptive FCRL2 Activated B cell Adaptive BACH2 Activated B cell Adaptive CR2 Activated B cell Adaptive TCL1A Activated B cell Adaptive AKNA Activated B cell Adaptive ARHGAP25 Activated B cell Adaptive CCL21 Activated B cell Adaptive CD27 Activated B cell Adaptive CD38 Activated B cell Adaptive CLEC17A Activated B cell Adaptive CLEC9A Activated B cell Adaptive CLECL1 Activated B cell Adaptive AIM2 Activated CD4 T cell Adaptive BIRC3 Activated CD4 T cell Adaptive BRIP1 Activated CD4 T cell Adaptive CCL20 Activated CD4 T cell Adaptive CCL4 Activated CD4 T cell Adaptive CCL5 Activated CD4 T cell Adaptive CCNB1 Activated CD4 T cell Adaptive CCR7 Activated CD4 T cell Adaptive DUSP2 Activated CD4 T cell Adaptive ESCO2 Activated CD4 T cell Adaptive ETS1 Activated CD4 T cell Adaptive EXO1 Activated CD4 T cell Adaptive EXOC6 Activated CD4 T cell Adaptive IARS Activated CD4 T cell Adaptive ITK Activated CD4 T cell Adaptive KIF11 Activated CD4 T cell Adaptive KNTC1 Activated CD4 T cell Adaptive NUF2 Activated CD4 T cell Adaptive PRC1 Activated -
Cytokine Nomenclature
RayBiotech, Inc. The protein array pioneer company Cytokine Nomenclature Cytokine Name Official Full Name Genbank Related Names Symbol 4-1BB TNFRSF Tumor necrosis factor NP_001552 CD137, ILA, 4-1BB ligand receptor 9 receptor superfamily .2. member 9 6Ckine CCL21 6-Cysteine Chemokine NM_002989 Small-inducible cytokine A21, Beta chemokine exodus-2, Secondary lymphoid-tissue chemokine, SLC, SCYA21 ACE ACE Angiotensin-converting NP_000780 CD143, DCP, DCP1 enzyme .1. NP_690043 .1. ACE-2 ACE2 Angiotensin-converting NP_068576 ACE-related carboxypeptidase, enzyme 2 .1 Angiotensin-converting enzyme homolog ACTH ACTH Adrenocorticotropic NP_000930 POMC, Pro-opiomelanocortin, hormone .1. Corticotropin-lipotropin, NPP, NP_001030 Melanotropin gamma, Gamma- 333.1 MSH, Potential peptide, Corticotropin, Melanotropin alpha, Alpha-MSH, Corticotropin-like intermediary peptide, CLIP, Lipotropin beta, Beta-LPH, Lipotropin gamma, Gamma-LPH, Melanotropin beta, Beta-MSH, Beta-endorphin, Met-enkephalin ACTHR ACTHR Adrenocorticotropic NP_000520 Melanocortin receptor 2, MC2-R hormone receptor .1 Activin A INHBA Activin A NM_002192 Activin beta-A chain, Erythroid differentiation protein, EDF, INHBA Activin B INHBB Activin B NM_002193 Inhibin beta B chain, Activin beta-B chain Activin C INHBC Activin C NM005538 Inhibin, beta C Activin RIA ACVR1 Activin receptor type-1 NM_001105 Activin receptor type I, ACTR-I, Serine/threonine-protein kinase receptor R1, SKR1, Activin receptor-like kinase 2, ALK-2, TGF-B superfamily receptor type I, TSR-I, ACVRLK2 Activin RIB ACVR1B -
Receptor Structure in the Bacterial Sensing System (Chemotaxis/Membranes/Serine Receptor/Aspartate Receptor/Methyl-Accepting Chemotaxis Proteins) ELIZABETH A
Proc. Natl. Acad. Sci. USA Vol. 77, No. 12, pp. 7157-7161, December 1980 Biochemistry Receptor structure in the bacterial sensing system (chemotaxis/membranes/serine receptor/aspartate receptor/methyl-accepting chemotaxis proteins) ELIZABETH A. WANG AND DANIEL E. KOSHLAND, JR. Department of Biochemistry, University of California, Berkeley, California 94720 Contributed by Daniel E. Koshland, Jr., September 5,1980 ABSTRACT The primary receptors for aspartate and serine peptides recognizing the chemoeffector and producing the in bacterial chemotaxis have been shown to be the 60,000-dalton transmembrane signal were the same. This type of genetic proteins encoded by the tar and tsr genes. The evidence is: (i) evidence, however, cannot be conclusive per se in determining overproduction of the tar gene product at various levels by re- combinant DNA techniques produces proportionate increases the primary receptor because it can be argued that the trans- in aspartate binding; (ii) aspartate binding copurifies with membrane proteins are essential to maintain the conformation [3llmethyl-labeled tar gene product; (iii) antibody to tar and of a second recognition component. Definitive evidence in tsr protein fragments precipitates a single species of protein regard to the role of the 60,000-dalton tar and tsr gene products (60,000 daltons) which retains binding capacity and [3Hlcar- in binding was needed, and it was obtained as described below boxymethyl label. Partially purified tar gene product can be by a combination of recombinant DNA techniques and protein reconstituted into artificial vesicles and retains aspartate binding and aspartate-ensitive methylation and demethylation. purification. These results show that the aspartate and serine receptors are transmembrane proteins of a single polypeptide chain with the MATERIALS AND METHODS receptor recognition site on the outside of the membrane and the covalent methylation site on the inside. -
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. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
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. -
B Cell Checkpoints in Autoimmune Rheumatic Diseases
REVIEWS B cell checkpoints in autoimmune rheumatic diseases Samuel J. S. Rubin1,2,3, Michelle S. Bloom1,2,3 and William H. Robinson1,2,3* Abstract | B cells have important functions in the pathogenesis of autoimmune diseases, including autoimmune rheumatic diseases. In addition to producing autoantibodies, B cells contribute to autoimmunity by serving as professional antigen- presenting cells (APCs), producing cytokines, and through additional mechanisms. B cell activation and effector functions are regulated by immune checkpoints, including both activating and inhibitory checkpoint receptors that contribute to the regulation of B cell tolerance, activation, antigen presentation, T cell help, class switching, antibody production and cytokine production. The various activating checkpoint receptors include B cell activating receptors that engage with cognate receptors on T cells or other cells, as well as Toll-like receptors that can provide dual stimulation to B cells via co- engagement with the B cell receptor. Furthermore, various inhibitory checkpoint receptors, including B cell inhibitory receptors, have important functions in regulating B cell development, activation and effector functions. Therapeutically targeting B cell checkpoints represents a promising strategy for the treatment of a variety of autoimmune rheumatic diseases. Antibody- dependent B cells are multifunctional lymphocytes that contribute that serve as precursors to and thereby give rise to acti- cell- mediated cytotoxicity to the pathogenesis of autoimmune diseases -
Cd4/Cd8 Panel, Blood
Lab Dept: Flow and Immunology Test Name: CD4/CD8 PANEL, BLOOD General Information Lab Order Codes: C48P Synonyms: Helper/Suppressor Ratio; T- cells; T-cell subsets; T-cell phenotyping See also: Immune Status Panel and Comprehensive Immune Status Panel CPT Codes: 86359 – T cells, total count 86360 – T cells; absolute CD4 and CD8 count, including ratio Test Includes: CD4(CD3+) and CD8(CD3+) relative percentages, absolute values and a calculated Helper/Suppressor ratio. Logistics Test Indications: This is a minimal antibody panel to monitor immune status. Lab Testing Sections: Flow Cytometry Phone Numbers: MIN Lab: 612-813-6280 STP Lab: 651-220-6550 Test Availability: 3 times weekly determined by volume. Transport collected specimen immediately to Flow Cytometry. Routine testing is not available on weekends or holidays. Therefore, specimens cannot be used if drawn the day before a 3 day weekend such as Memorial Day, Labor Day or major holiday that falls on a Monday or Friday. Turnaround Time: 1 – 3 days Special Instructions: See Test Availability Specimen Specimen Type: Whole blood Container: Lavender top (EDTA) tube Draw Volume: 2 mL blood in a 2 mL Lavender (EDTA) tube Minimum volume: 0.5 mL in an EDTA microtainer Collection: Routine venipuncture Special Processing: Keep sample at room temperature and forward promptly to the laboratory. Do not centrifuge, refrigerate, or freeze sample. Patient Preparation: None Sample Rejection: Specimens will not be processed that are clotted; hemolyzed; greater than 72 hours old; collected in the wrong tube type (0.5 mL in a 2 mL tube), or that have been held or handled at a temperature other than room temperature Interpretive Reference Range: Age-dependant reference ranges provided with results. -
Case Report Inflammatory Pseudotumor-Like Follicular Dendritic Cell Sarcoma: a Rare Presentation of a Hepatic Mass
Int J Clin Exp Pathol 2019;12(8):3149-3155 www.ijcep.com /ISSN:1936-2625/IJCEP0096875 Case Report Inflammatory pseudotumor-like follicular dendritic cell sarcoma: a rare presentation of a hepatic mass Shuangshuang Deng, Jinli Gao Department of Pathology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China Received May 12, 2019; Accepted June 25, 2019; Epub August 1, 2019; Published August 15, 2019 Abstract: Follicular dendritic cell (FDC) sarcoma is a rare, low-grade malignant tumor originating from follicular dendritic cells in germinal centers that accounts for 0.4% of all soft tissue sarcomas. FDC sarcoma is classified into two types, the classic FDC sarcoma and inflammatory pseudotumor (IPT)-like follicular dendritic cell (FDC) sarcoma, the latter of which is rarer. IPT-like FDC sarcoma mainly involves the spleen and liver with non-specific clinical and imaging manifestations. It is often misdiagnosed as an inflammatory disease such as a liver abscess or a malignant tumor such as hepatocellular carcinoma, with a pathological morphology similar to inflammatory pseudotumors. IPT-like FDC sarcoma mainly consists of a large number of inflammatory and round, oval and spindle cells with less pleomorphism. These tumor cells are arranged in a whorled, storiform, or sheet pattern. The immunophenotype of IPT-like FDC sarcoma is the same as that of FDC sarcoma and is positive for CD21, CD23, and CD35, and positive for EBER in situ hybridization (ISH). This disease is easily misdiagnosed because it is so rare that clinicians and pathologists may not consider it in diagnosis. Here, a case of IPT-like FDC sarcoma in the liver was reported, and the related literature was reviewed to summarize the clinicopathological features, treatment, and prognosis of this rare new type of FDC sarcoma, providing new knowledge of this rare neoplasm.