PD-1+ Stemlike CD8 T Cells Are Resident in Lymphoid Tissues During Persistent LCMV Infection
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T Cells the Usual Subsets
T cells: the usual subsets Chen Dong and Gustavo J. Martinez T cells have important roles in immune responses and function by directly secreting soluble mediators or important for adaptation of immune responses in different microenvironments and might be particularly through cell contact-dependent mechanisms. Many T cell subsets have been characterized. Although relevant for host defence against pathogens that colonize different tissues. Distinct T cell subsets, or effector T cells were originally considered to be terminally differentiated, a growing body of evidence has differentiation states, can be identified based on the cell surface markers expressed and/or the effector challenged this view and suggested that the phenotype of effector T cells is not completely fixed but is molecules produced by a particular T cell population. This Poster summarizes our current understanding of more flexible or plastic. T cells can have ‘mixed’ phenotypes (that is, have characteristics usually the surface markers, transcriptional regulators, effector molecules and functions of the different T cell associated with more than one T cell subset) and can interconvert from one subset phenotype to another, subsets that participate in immune responses. Further knowledge of how these T cell subsets are regulated IMMUNOLOGY although instructive signalling can lead to long-term fixation of cytokine memory. T cell plasticity can be and cooperate with each other will provide us with better tools to treat immune-related diseases. Cytotoxic T cell Exhausted T cell -
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. -
T Lymphocytes + and CD8 +CD4 TCR/CD3 Complex in Immortalized Mature -Deficient Γ Signaling Through A
Signaling Through a CD3γ-Deficient TCR/CD3 Complex in Immortalized Mature CD4+ and CD8+ T Lymphocytes This information is current as Alberto Pacheco-Castro, David Alvarez-Zapata, Pilar of September 25, 2021. Serrano-Torres and José R. Regueiro J Immunol 1998; 161:3152-3160; ; http://www.jimmunol.org/content/161/6/3152 Downloaded from References This article cites 47 articles, 19 of which you can access for free at: http://www.jimmunol.org/content/161/6/3152.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 September 25, 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 © 1998 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Signaling Through a CD3g-Deficient TCR/CD3 Complex in Immortalized Mature CD41 and CD81 T Lymphocytes1 Alberto Pacheco-Castro,2 David Alvarez-Zapata,2 Pilar Serrano-Torres, and Jose´R. Regueiro3 The biologic role of each CD3 chain and their relative contribution to the signals transduced through the TCR/CD3 complex and to downstream activation events are still controversial: they may be specialized or redundant. -
18F-Farag PET for CD8 Profiling of Tumors and Assessment of Immunomodulation by Chemotherapy
Journal of Nuclear Medicine, published on November 6, 2020 as doi:10.2967/jnumed.120.249078 18F-FAraG PET for CD8 Profiling of Tumors and Assessment of Immunomodulation by Chemotherapy Jelena Levi1*, Samuel Goth1, Lyna Huynh1, Tina Lam1, Tony L Huynh2, Brailee Schulte2, Juliet A Packiasamy1 1CellSight Technologies Incorporated, San Francisco, California; 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California; *Corresponding Author Jelena Levi, PhD 185 Berry street, San Francisco, 94107, CA Email: [email protected] Running Title: [18F]F-AraG for CD8 profiling of tumors Financial statement: This work was supported by National Institutes of Health Grants NCI SBIR HHSN261201800024C (JL). Conflict of Interest Statement: JL, SG, LH, TL and JP are or were employed by CellSight Technologies. CellSight Technologies Incorporated is commercializing [18F]F-AraG as a PET tracer for evaluation of immune response in immunotherapy. No other potential conflicts of interest relevant to this article exist. ABSTRACT Majority of the clinical trials exploring various combinations of chemo- and immunotherapy rely on serial biopsy to provide information on immune response. The aim of this study was to assess the value of 18F-FAraG as a non-invasive tool that could profile tumors based on the key players in adaptive antitumor response, CD8+ cells, and evaluate immunomodulatory effects of chemotherapy. Methods. To evaluate the ability of 18F-FAraG to report on the presence of CD8+ cells within the TME, we imaged a panel of syngeneic tumor models (MC38, CT26, LLC, A9F1, 4T1 and B16F10), and correlated the signal intensity with the number of lymphocytes found in the tumors. -
Supplementary Table S5. Differentially Expressed Gene Lists of PD-1High CD39+ CD8 Tils According to 4-1BB Expression Compared to PD-1+ CD39- CD8 Tils
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Immunother Cancer Supplementary Table S5. Differentially expressed gene lists of PD-1high CD39+ CD8 TILs according to 4-1BB expression compared to PD-1+ CD39- CD8 TILs Up- or down- regulated genes in Up- or down- regulated genes Up- or down- regulated genes only PD-1high CD39+ CD8 TILs only in 4-1BBneg PD-1high CD39+ in 4-1BBpos PD-1high CD39+ CD8 compared to PD-1+ CD39- CD8 CD8 TILs compared to PD-1+ TILs compared to PD-1+ CD39- TILs CD39- CD8 TILs CD8 TILs IL7R KLRG1 TNFSF4 ENTPD1 DHRS3 LEF1 ITGA5 MKI67 PZP KLF3 RYR2 SIK1B ANK3 LYST PPP1R3B ETV1 ADAM28 H2AC13 CCR7 GFOD1 RASGRP2 ITGAX MAST4 RAD51AP1 MYO1E CLCF1 NEBL S1PR5 VCL MPP7 MS4A6A PHLDB1 GFPT2 TNF RPL3 SPRY4 VCAM1 B4GALT5 TIPARP TNS3 PDCD1 POLQ AKAP5 IL6ST LY9 PLXND1 PLEKHA1 NEU1 DGKH SPRY2 PLEKHG3 IKZF4 MTX3 PARK7 ATP8B4 SYT11 PTGER4 SORL1 RAB11FIP5 BRCA1 MAP4K3 NCR1 CCR4 S1PR1 PDE8A IFIT2 EPHA4 ARHGEF12 PAICS PELI2 LAT2 GPRASP1 TTN RPLP0 IL4I1 AUTS2 RPS3 CDCA3 NHS LONRF2 CDC42EP3 SLCO3A1 RRM2 ADAMTSL4 INPP5F ARHGAP31 ESCO2 ADRB2 CSF1 WDHD1 GOLIM4 CDK5RAP1 CD69 GLUL HJURP SHC4 GNLY TTC9 HELLS DPP4 IL23A PITPNC1 TOX ARHGEF9 EXO1 SLC4A4 CKAP4 CARMIL3 NHSL2 DZIP3 GINS1 FUT8 UBASH3B CDCA5 PDE7B SOGA1 CDC45 NR3C2 TRIB1 KIF14 TRAF5 LIMS1 PPP1R2C TNFRSF9 KLRC2 POLA1 CD80 ATP10D CDCA8 SETD7 IER2 PATL2 CCDC141 CD84 HSPA6 CYB561 MPHOSPH9 CLSPN KLRC1 PTMS SCML4 ZBTB10 CCL3 CA5B PIP5K1B WNT9A CCNH GEM IL18RAP GGH SARDH B3GNT7 C13orf46 SBF2 IKZF3 ZMAT1 TCF7 NECTIN1 H3C7 FOS PAG1 HECA SLC4A10 SLC35G2 PER1 P2RY1 NFKBIA WDR76 PLAUR KDM1A H1-5 TSHZ2 FAM102B HMMR GPR132 CCRL2 PARP8 A2M ST8SIA1 NUF2 IL5RA RBPMS UBE2T USP53 EEF1A1 PLAC8 LGR6 TMEM123 NEK2 SNAP47 PTGIS SH2B3 P2RY8 S100PBP PLEKHA7 CLNK CRIM1 MGAT5 YBX3 TP53INP1 DTL CFH FEZ1 MYB FRMD4B TSPAN5 STIL ITGA2 GOLGA6L10 MYBL2 AHI1 CAND2 GZMB RBPJ PELI1 HSPA1B KCNK5 GOLGA6L9 TICRR TPRG1 UBE2C AURKA Leem G, et al. -
CD29 Identifies IFN-Γ–Producing Human CD8+ T Cells With
+ CD29 identifies IFN-γ–producing human CD8 T cells with an increased cytotoxic potential Benoît P. Nicoleta,b, Aurélie Guislaina,b, Floris P. J. van Alphenc, Raquel Gomez-Eerlandd, Ton N. M. Schumacherd, Maartje van den Biggelaarc,e, and Monika C. Wolkersa,b,1 aDepartment of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, The Netherlands; bLandsteiner Laboratory, Oncode Institute, Amsterdam University Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; cDepartment of Research Facilities, Sanquin Research, 1066 CX Amsterdam, The Netherlands; dDivision of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands; and eDepartment of Molecular and Cellular Haemostasis, Sanquin Research, 1066 CX Amsterdam, The Netherlands Edited by Anjana Rao, La Jolla Institute for Allergy and Immunology, La Jolla, CA, and approved February 12, 2020 (received for review August 12, 2019) Cytotoxic CD8+ T cells can effectively kill target cells by producing therefore developed a protocol that allowed for efficient iso- cytokines, chemokines, and granzymes. Expression of these effector lation of RNA and protein from fluorescence-activated cell molecules is however highly divergent, and tools that identify and sorting (FACS)-sorted fixed T cells after intracellular cytokine + preselect CD8 T cells with a cytotoxic expression profile are lacking. staining. With this top-down approach, we performed an un- + Human CD8 T cells can be divided into IFN-γ– and IL-2–producing biased RNA-sequencing (RNA-seq) and mass spectrometry cells. Unbiased transcriptomics and proteomics analysis on cytokine- γ– – + + (MS) analyses on IFN- and IL-2 producing primary human producing fixed CD8 T cells revealed that IL-2 cells produce helper + + + CD8 Tcells. -
Identification of 18 Immune Cell Subsets Using 13-Color Panel
Immunophenotyping Identification of 18 immune cell subsets in human blood using a 13-color panel Background Cell type Function Phenotype Flow cytometry has become the method of choice for Eosinophils Parasitic immunity CD45+, SSCmid/hi, CD14 –, CD16 –, CD19– immunophenotyping and identifying specific cellular + mid/hi subsets. Within seconds, it provides a thorough overview of Neutrophils Innate Immunity CD45 , SSC , CD14 –, CD16+, CD19– the major cell types that constitute a sample. Using multiple + mid markers simultaneously increases the number of parameters Classical Phagocytosis of CD45 , SSC , monocytes pathogens and CD14+, CD16– that can be analyzed per run and decreases the amount of antigen presentation starting material required to perform an assay. This can be Intermediate Phagocytosis of CD45+, SSCmid, critical for precious sample material and long-term immune- monocytes pathogens and CD14+, CD16mid monitoring studies. In this application note, we demonstrate antigen presentation 13-color immunophenotyping of human peripheral blood Non-classical Phagocytosis of CD45+, SSCmid, + + mononuclear cells (PBMCs) using the MACSQuant® Analyzer 16, monocytes pathogens and CD14 , CD16 antigen presentation a compact and reliable benchtop flow cytometer equipped + low + with three lasers. The markers selected allow for the Class-switched Adaptive immunity CD45 , SSC , CD19 , memory B cells CD27+, IgD–, CD14– simultaneous identification and analysis of 18 different cell Non-switched Adaptive immunity CD45+, SSClow, CD19+, populations, thus maximizing the amount of information that memory B cells CD27+, IgD+, CD14– can be retrieved from the sample material analyzed. This is Naive B cells Adaptive immunity – CD45+, SSClow, CD19+, critical when input material is limited, as is often the case for non-antigen CD27–, IgD+, CD14– pediatric or disease studies. -
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. -
Flow Cytometry CPT: 88182, 88184, 88185, 88187, 88188, 88189, 86355, 86356, 86357, 86359, 86360, 86361, 86367
Medicare Local Coverage Determination Policy Flow Cytometry CPT: 88182, 88184, 88185, 88187, 88188, 88189, 86355, 86356, 86357, 86359, 86360, 86361, 86367 CMS Policy for Alaska, Arizona, Idaho, Montana, North Dakota, Medically Supportive Oregon, South Dakota, Utah, Washington, and Wyoming ICD Codes are listed Local policies are determined by the performing test location. This is determined by the state on subsequent page(s) in which your performing laboratory resides and where your testing is commonly performed. of this document. Coverage Indications, Limitations, and/or Medical Necessity Flow cytometry (FCM) is a complex process to examine blood, body fluids, CSF, bone marrow, lymph node, tonsil, spleen and other solid tissues. The use of peripheral blood and fine needle aspirate material avoids more invasive procedures for diagnosis. A flow cytometer evaluates the physical and/or chemical characteristics of single cells as the cells pass individually in a fluid stream through a measuring device. Surface receptors, intracellular molecules, and DNA bind with fluorescent dyes that allow detection and evaluation. When light of one wave length excites electrons of certain chemicals to energy levels above their ground state and upon return to ground state emits light of a longer wavelength, fluorescence is produced. A flow cytometer detects cell characteristics by measuring the fluorescence produced by fluorochromes conjugated either directly with cell components or conjugated to antibodies directed against cell components. Indications • Cytopenias and Hypercellular Hematolymphoid Disorders Hematolymphoid neoplasia can present with cytopenias (anemia, leucopenia and/or thrombocytopenia) or elevated leukocyte counts. If medical review and preliminary laboratory testing fails to reveal a cause, bone marrow aspiration and biopsy are indicated to rule out an infiltrative process or a stem cell disorder. -
Human Peripheral Blood Gamma Delta T Cells: Report on a Series of Healthy Caucasian Portuguese Adults and Comprehensive Review of the Literature
cells Article Human Peripheral Blood Gamma Delta T Cells: Report on a Series of Healthy Caucasian Portuguese Adults and Comprehensive Review of the Literature 1, 2, 1, 1, Sónia Fonseca y, Vanessa Pereira y, Catarina Lau z, Maria dos Anjos Teixeira z, Marika Bini-Antunes 3 and Margarida Lima 1,* 1 Laboratory of Cytometry, Unit for Hematology Diagnosis, Department of Hematology, Hospital de Santo António (HSA), Centro Hospitalar Universitário do Porto (CHUP), Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto (UMIB/ICBAS/UP), 4099-001 Porto Porto, Portugal; [email protected] (S.F.); [email protected] (C.L.); [email protected] (M.d.A.T.) 2 Department of Clinical Pathology, Centro Hospitalar de Vila Nova de Gaia/Espinho (CHVNG/E), 4434-502 Vila Nova de Gaia, Portugal; [email protected] 3 Laboratory of Immunohematology and Blood Donors Unit, Department of Hematology, Hospital de Santo António (HSA), Centro Hospitalar Universitário do Porto (CHUP), Unidade Multidisciplinar de Investigação Biomédica, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto (UMIB/ICBAS/UP), 4099-001Porto, Portugal; [email protected] * Correspondence: [email protected]; Tel.: + 351-22-20-77-500 These authors contributed equally to this work. y These authors contributed equally to this work. z Received: 10 February 2020; Accepted: 13 March 2020; Published: 16 March 2020 Abstract: Gamma delta T cells (Tc) are divided according to the type of Vδ and Vγ chains they express, with two major γδ Tc subsets being recognized in humans: Vδ2Vγ9 and Vδ1. -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. -
A Peripheral Blood Gene Expression Signature to Diagnose Subclinical Acute Rejection
CLINICAL RESEARCH www.jasn.org A Peripheral Blood Gene Expression Signature to Diagnose Subclinical Acute Rejection Weijia Zhang,1 Zhengzi Yi,1 Karen L. Keung,2 Huimin Shang,3 Chengguo Wei,1 Paolo Cravedi,1 Zeguo Sun,1 Caixia Xi,1 Christopher Woytovich,1 Samira Farouk,1 Weiqing Huang,1 Khadija Banu,1 Lorenzo Gallon,4 Ciara N. Magee,5 Nader Najafian,5 Milagros Samaniego,6 Arjang Djamali ,7 Stephen I. Alexander,2 Ivy A. Rosales,8 Rex Neal Smith,8 Jenny Xiang,3 Evelyne Lerut,9 Dirk Kuypers,10,11 Maarten Naesens ,10,11 Philip J. O’Connell,2 Robert Colvin,8 Madhav C. Menon,1 and Barbara Murphy1 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background In kidney transplant recipients, surveillance biopsies can reveal, despite stable graft function, histologic features of acute rejection and borderline changes that are associated with undesirable graft outcomes. Noninvasive biomarkers of subclinical acute rejection are needed to avoid the risks and costs associated with repeated biopsies. Methods We examined subclinical histologic and functional changes in kidney transplant recipients from the prospective Genomics of Chronic Allograft Rejection (GoCAR) study who underwent surveillance biopsies over 2 years, identifying those with subclinical or borderline acute cellular rejection (ACR) at 3 months (ACR-3) post-transplant. We performed RNA sequencing on whole blood collected from 88 indi- viduals at the time of 3-month surveillance biopsy to identify transcripts associated with ACR-3, developed a novel sequencing-based targeted expression assay, and validated this gene signature in an independent cohort.