CD29 Identifies IFN-Γ–Producing Human CD8+ T Cells With
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Retrocopy Contributions to the Evolution of the Human Genome Robert Baertsch*1, Mark Diekhans1, W James Kent1, David Haussler1 and Jürgen Brosius2
BMC Genomics BioMed Central Research article Open Access Retrocopy contributions to the evolution of the human genome Robert Baertsch*1, Mark Diekhans1, W James Kent1, David Haussler1 and Jürgen Brosius2 Address: 1Center for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA and 2Institute of Experimental Pathology, ZMBE, University of Münster, Von-Esmarch-Str. 56, D-48149, Münster, Germany Email: Robert Baertsch* - [email protected]; Mark Diekhans - [email protected]; W James Kent - [email protected]; David Haussler - [email protected]; Jürgen Brosius - [email protected] * Corresponding author Published: 8 October 2008 Received: 17 March 2008 Accepted: 8 October 2008 BMC Genomics 2008, 9:466 doi:10.1186/1471-2164-9-466 This article is available from: http://www.biomedcentral.com/1471-2164/9/466 © 2008 Baertsch et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Evolution via point mutations is a relatively slow process and is unlikely to completely explain the differences between primates and other mammals. By contrast, 45% of the human genome is composed of retroposed elements, many of which were inserted in the primate lineage. A subset of retroposed mRNAs (retrocopies) shows strong evidence of expression in primates, often yielding functional retrogenes. Results: To identify and analyze the relatively recently evolved retrogenes, we carried out BLASTZ alignments of all human mRNAs against the human genome and scored a set of features indicative of retroposition. -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
CD74 Targeted Nanoparticles As Dexamethasone Delivery System for B Lymphoid Malignancies
CD74 targeted nanoparticles as Dexamethasone Delivery System for B lymphoid malignancies DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Georgia Triantafillou, MPH Integrated Biomedical Sciences Graduate Program The Ohio State University 2011 Dissertation Committee John C. Byrd, MD, advisor Natarajan Muthusamy, PhD co-advisor Robert J.Lee, PhD, co-advisor Mitch A.Phelps, PhD, co-advisor Guido Marcucci, MD committee member Susheela Tridandapani, PhD committee member Copyright page Georgia Triantafillou 2011 ABSTRACT Chronic Lymphocytic Leukemia (CLL) is the most common adult leukemia and is not curable with standard therapy. In CLL the B lymphocytes appear morphologically mature but immunologically express less mature B cell makers. Specifically, the CLL B cells co-express surface antigens including CD19, CD20, CD5, CD23. Due to nonspecific delivery of the drugs to malignant as well as normal cells, patients experience numerous side effects. Targeted drug delivery to cancer cells is a desirable goal for all anti cancer strategies. Corticosteroids have been proven to be a beneficial and well established part of CLL treatment. Dexamethasone(DEX) is frequently used in CLL therapies as well as other malignancies and antiinflammatory diseases. However, DEX nonspecifically enters all tissues inducing various toxicities to patients. Therefore, DEX treatment is often discontinued or not administered to certain patients. We aimed to deliver this efficient clinical agent via a targeted delivery vehicle and examine its effect on its target B-CLL cells. The main scope of the work presented is the creation of a sterically stable nanoparticle, an ii immunoliposome (ILP), that has DEX encapsulated in its interior and a monoclonal antibody(Mab) in its exterior targeting CLL B cells expressing the surface antigen that is recognized by the Mab. -
Identification of Key Candidate Genes for Colorectal Cancer by Bioinformatics Analysis
ONCOLOGY LETTERS 18: 6583-6593, 2019 Identification of key candidate genes for colorectal cancer by bioinformatics analysis ZHIHUA CHEN1*, YILIN LIN1*, JI GAO2*, SUYONG LIN1, YAN ZHENG1, YISU LIU1 and SHAO QIN CHEN1 1Department of Gastrointestinal Surgery, The First Affiliated Hospital of Fujian Medical University; 2School of Nursing, Fujian Medical University, Fuzhou, Fujian 350004, P.R. China Received December 27, 2018; Accepted August 16, 2019 DOI: 10.3892/ol.2019.10996 Abstract. Colorectal cancer (CRC) is one of the most Introduction common cancers of the digestive tract. Although numerous studies have been conducted to elucidate the cause of CRC, Colorectal cancer (CRC) ranks third (13.5%) and second the exact mechanism of CRC development remains to be (9.5%) among the incidence of malignancies worldwide determined. To identify candidate genes that may be involved in male and female patients, respectively, and is a serious in CRC development and progression, the microarray datasets hazard to human health (1). Previous studies have demon- GSE41657, GSE77953 and GSE113513 were downloaded from strated that the molecular pathogenesis of CRC is mostly the Gene Expression Omnibus database. Gene Ontology and caused by genetic mutations (2,3). Numerous studies over Kyoto Encyclopedia of Genes and Genomes were used for the past two decades have reported that genetic mutations functional enrichment analysis of differentially expressed are associated with the prognosis and treatment of CRC, and genes (DEGs). A protein-protein interaction network was targeted therapies have been developed (4-7). The progres- constructed, and the hub genes were subjected to module sion of CRC is usually accompanied by the activation of the analysis and identification using Search Tool for the Retrieval KRAS and BRAF genes and the inhibition of the p53 tumour of Interacting Genes/Proteins and Cytoscape. -
Characterization of FLT3-Itdmut Acute Myeloid Leukemia
Travaglini et al. Blood Cancer Journal (2020) 10:85 https://doi.org/10.1038/s41408-020-00352-9 Blood Cancer Journal ARTICLE Open Access Characterization of FLT3-ITDmut acute myeloid leukemia: molecular profiling of leukemic precursor cells Serena Travaglini1, Daniela Francesca Angelini 2, Valentina Alfonso1, Gisella Guerrera2,SerenaLavorgna1, Mariadomenica Divona1, Anna Maria Nardozza1, Maria Irno Consalvo1, Emiliano Fabiani1,MarcoDeBardi 2, Benedetta Neri3,FabioForghieri4, Francesco Marchesi5, Giovangiacinto Paterno1, Raffaella Cerretti1, Eva Barragan 6, Valentina Fiori7,SabrinaDominici7, Maria Ilaria Del Principe1, Adriano Venditti 1, Luca Battistini2, William Arcese1, Francesco Lo-Coco1, Maria Teresa Voso 1,2 and Tiziana Ottone1,2 Abstract Acute myeloid leukemia (AML) with FLT3-ITD mutations (FLT3-ITDmut) remains a therapeutic challenge, with a still high relapse rate, despite targeted treatment with tyrosine kinase inhibitors. In this disease, the CD34/CD123/CD25/CD99+ leukemic precursor cells (LPCs) phenotype predicts for FLT3-ITD-positivity. The aim of this study was to characterize the distribution of FLT3-ITD mutation in different progenitor cell subsets to shed light on the subclonal architecture of FLT3-ITDmut AML. Using high-speed cell sorting, we sequentially purified LPCs and CD34+ progenitors in samples from patients with FLT3-ITDmut AML (n = 12). A higher FLT3-ITDmut load was observed within CD34/CD123/CD25/CD99+ LPCs, as compared to CD34+ progenitors (CD123+/−,CD25−,CD99low/−)(p = 0.0005) and mononuclear cells (MNCs) (p < 0.0001). This was associated with significantly increased CD99 mean fluorescence intensity in LPCs. 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; Significantly higher FLT3-ITDmut burden was also observed in LPCs of AML patients with a small FLT3-ITDmut clones at diagnosis. -
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 -
Single-Cell RNA Sequencing Identifies Candidate Renal
BASIC RESEARCH www.jasn.org Single-Cell RNA Sequencing Identifies Candidate Renal Resident Macrophage Gene Expression Signatures across Species Kurt A. Zimmerman,1 Melissa R. Bentley,1 Jeremie M. Lever ,2 Zhang Li,1 David K. Crossman,3 Cheng Jack Song,1 Shanrun Liu,4 Michael R. Crowley,3 James F. George,5 Michal Mrug,2,6 and Bradley K. Yoder1 1Department of Cell, Developmental, and Integrative Biology, 2Division of Nephrology, Department of Medicine, 3Department of Genetics, 4Department of Biochemistry and Molecular Genetics, and 5Division of Cardiothoracic Surgery, Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama; and 6Department of Veterans Affairs Medical Center, Birmingham, Alabama ABSTRACT Background Resident macrophages regulate homeostatic and disease processes in multiple tissues, in- cluding the kidney. Despite having well defined markers to identify these cells in mice, technical limita- tions have prevented identification of a similar cell type across species. The inability to identify resident macrophage populations across species hinders the translation of data obtained from animal model to human patients. Methods As an entry point to determine novel markers that could identify resident macrophages across species, we performed single-cell RNA sequencing (scRNAseq) analysis of all T and B cell–negative CD45+ innate immune cells in mouse, rat, pig, and human kidney tissue. Results We identified genes with enriched expression in mouse renal resident macrophages that were also present in candidate resident macrophage populations across species. Using the scRNAseq data, we defined a novel set of possible cell surface markers (Cd74 and Cd81) for these candidate kidney resident macrophages. We confirmed, using parabiosis and flow cytometry, that these proteins are indeed enriched in mouse resident macrophages. -
And Heterodimeric Interactions Between the Gene Products of PKD1 and PKD2 (Polycystic Kidney Disease͞yeast Two-Hybrid System͞protein–Protein Interactions)
Proc. Natl. Acad. Sci. USA Vol. 94, pp. 6965–6970, June 1997 Medical Sciences Homo- and heterodimeric interactions between the gene products of PKD1 and PKD2 (polycystic kidney diseaseyyeast two-hybrid systemyprotein–protein interactions) LEONIDAS TSIOKAS*†,EMILY KIM†‡,THIERRY ARNOULD*, VIKAS P. SUKHATME*, AND GERD WALZ*§ *Renal Division, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215; and ‡Laboratory of Molecular and Developmental Neuroscience, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 Communicated by Irving M. London, Massachusetts Institute of Technology, Cambridge, MA, May 1, 1997 (received for review January 3, 1997) ABSTRACT PKD1 and PKD2 are two recently identified clarified the nature of the aberrant gene products caused by genes that are responsible for the vast majority of autosomal mutations of PKD1 and PKD2. Renal cysts are thought to arise polycystic kidney disease, a common inherited disease that through a process of persistent epithelial proliferation related causes progressive renal failure. PKD1 encodes polycystin, a to the lack of terminal differentiation. Both abnormal growth large glycoprotein that contains several extracellular motifs factor responsiveness (8–12) and the elevated expression of indicative of a role in cell–cell or cell–matrix interactions, and certain oncogenes appear to support this hypothesis (13–16). the PKD2 encodes a protein with homology to a voltage- Recently, loss of heterozygosity was discovered within a subset activated calcium channel and to PKD1. It is currently un- of cysts for two closely linked polymorphic markers located known how mutations of either protein functionally cause within the PKD1 gene, indicating that cyst formation in autosomal polycystic kidney disease. -
Papers J Clin Pathol: First Published As 10.1136/Jcp.49.7.539 on 1 July 1996
Clin Pathol 1996;49:539-544 539 Papers J Clin Pathol: first published as 10.1136/jcp.49.7.539 on 1 July 1996. Downloaded from Differential expression of T cell antigens in normal peripheral blood lymphocytes: a quantitative analysis by flow cytometry L Ginaldi, N Farahat, E Matutes, M De Martinis, R Morilla, D Catovsky Abstract diagnosis by comparison with findings in Aims-To obtain reference values of the normal counterparts. level of expression of T cell antigens on ( Clin Pathol 1996;49:539-544) normal lymphocyte subsets in order to disclose differences which could reflect Keywords: flow cytometry, T cell antigens, peripheral their function or maturation stages, or blood lymphocytes. both. Methods-Peripheral blood from 15 healthy donors was processed by flow The most common use of flow cytometry is to cytometry with triple colour analysis. For determine the percent of "positive" or "nega- each sample phycoerythrin (PE) conju- tive" cells for each antigen in different cell gated CD2, CD4, CD5, CD8, and CD56 populations. However, valuable information is monoclonal antibodies were combined lost when the relative intensities of the positive with Cy5-R-phycoerythrin (TC) conju- cells, reflecting antigenic densities, are not considered. A cell population with a well gated CD3 and fluorescein isothiocyanate http://jcp.bmj.com/ (FITC) conjugated CD7; CD2- and defined phenotype, positive for one antigen, CD7-PE were also combined with might be heterogeneous with regard to its level CD3-TC and CD4-FITC. Standard mi- of expression. This may reflect different crobeads with different capacities to bind functional or maturational states, or both, or mouse immunoglobulins were used to identify subpopulations on the basis of the dif- convert the mean fluorescence intensity ferent numbers of molecules of antigen per 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.