(Lilrs) on Human Neutrophils: Modulators of Infection and Immunity
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
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. -
Proteomic and Functional Characterisation of LILRA3: Role In
Proteomic and Functional Characterisation of LILRA3: Role in Inflammation Terry Hung-Yi Lee A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Faculty of Medicine The University of New South Wales 2014 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thosis/Dissertatlon Sh09t Surname or Fam1ly name L l .... f.- First name / 'f (Z (1. 1 Other name/s H "'" ~ - \'I Abbre111at1on lor degree as given in the University calendar. Pt> .fh •I "!.1 '.j 17 J/ 0 School f t. t,...., ..> I <>f lVI e.~, u1 f <J t.r-UJ Faculty: M e. o1; c.• " e Tlrte Pr,te.;) ""l(. (j. f' il ,: ..... d .;" "' u"'"r &- d·er;..c&.L J .<\ ~ l/<.tf. Al: ~ " ' ~ ..... , ...., ~~~"""'" " "'~" Abstract 350 word s ma•imum: (PLEASE TYPE) Se e (f'JicJE' -------- Declaration relating to disposition of project thos tsldissortation I hereby grant to the Un1vers1ty of New South Wales or rts agents the nght to areh1ve and to make avatlabte my theSIS or dissertation '" whole or 1n part 1n the University libranes in all forms of media. now or here after known. subject to the provisions of the Copyright Act 1968 I retain all property nghts such as patent nghts I also retain the right to use in future works (such as artldes or bOOks) all or pan of this thesis or dlssenat1on I also authonse Un1vers1ty Microfilms to use the 350 word abstract of my thesis In Dissertation Abstracts International (this is appticable to doctoral ~~· ~l.A I Po .~.. <j 'I fJs JV VJignatur~ J1 Witness Date The Un1vers1ty recogn•ses that there may be exceptional circumstances requinng restrictions on copying or conditions on use. -
Anti-LYN Monoclonal Antibody, Clone 2285DU33.4.2.2 (DCABY-1218) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-LYN monoclonal antibody, clone 2285DU33.4.2.2 (DCABY-1218) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description Non-receptor tyrosine-protein kinase that transmits signals from cell surface receptors and plays an important role in the regulation of innate and adaptive immune responses, hematopoiesis, responses to growth factors and cytokines, integrin signaling, but also responses to DNA damage and genotoxic agents. Functions primarily as negative regulator, but can also function as activator, depending on the context. Required for the initiation of the B-cell response, but also for its down- regulation and termination. Plays an important role in the regulation of B-cell differentiation, proliferation, survival and apoptosis, and is important for immune self-tolerance. Acts downstream of several immune receptors, including the B-cell receptor, CD79A, CD79B, CD5, CD19, CD22, FCER1, FCGR2, FCGR1A, TLR2 and TLR4. Plays a role in the inflammatory response to bacterial lipopolysaccharide. Mediates the responses to cytokines and growth factors in hematopoietic progenitors, platelets, erythrocytes, and in mature myeloid cells, such as dendritic cells, neutrophils and eosinophils. Acts downstream of EPOR, KIT, MPL, the chemokine receptor CXCR4, as well as the receptors for IL3, IL5 and CSF2. Plays an important role in integrin signaling. Regulates cell proliferation, survival, differentiation, migration, adhesion, degranulation, and cytokine release. Down- regulates signaling pathways by phosphorylation of immunoreceptor tyrosine-based inhibitory motifs (ITIM), that then serve as binding sites for phosphatases, such as PTPN6/SHP-1, PTPN11/SHP-2 and INPP5D/SHIP-1, that modulate signaling by dephosphorylation of kinases and their substrates. -
ANGPTL2/LILRB2 Signaling Promotes the Propagation of Lung Cancer Cells
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 6, No. 25 ANGPTL2/LILRB2 signaling promotes the propagation of lung cancer cells Xiaoye Liu1,2,3,*, Xiaoting Yu4,*, Jingjing Xie5, Mengna Zhan6, Zhuo Yu3, Li Xie3, Hongxiang Zeng3, Feifei Zhang3, Guoqiang Chen1,3, Xianghua Yi4 and Junke Zheng2,3 1 Institute of Health Sciences, Shanghai Institute for Biological Sciences, University of Chinese Academy of Science, Chinese Academy of Sciences and Shanghai Jiao Tong University School of Medicine, Shanghai, China 2 Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Faculty of Basic Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China 3 Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China 4 Department of Pathology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China 5 Bingzhou Medical University, Taishan Scholar Program, Yantai, China 6 Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China * These authors have contributed equally to this paper Correspondence to: Junke Zheng, email: [email protected] Correspondence to: Xianghua Yi, email: [email protected] Correspondence to: Guoqiang Chen, email: [email protected] Keywords: ANGPTL2/LILRB2 signaling, lung cancer, metastasis, CaMK1 Received: December 31, 2014 Accepted: May 10, 2015 Published: May 20, 2015 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Immune inhibitory receptors expressed on various types of immune cells deliver inhibitory signals that maintain the homeostasis of the immune system. -
Differential Patterns of Allelic Loss in Estrogen Receptor-Positive Infiltrating Lobular and Ductal Breast Cancer
GENES, CHROMOSOMES & CANCER 47:1049–1066 (2008) Differential Patterns of Allelic Loss in Estrogen Receptor-Positive Infiltrating Lobular and Ductal Breast Cancer L. W. M. Loo,1 C. Ton,1,2 Y.-W. Wang,2 D. I. Grove,2 H. Bouzek,1 N. Vartanian,1 M.-G. Lin,1 X. Yuan,1 T. L. Lawton,3 J. R. Daling,2 K. E. Malone,2 C. I. Li,2 L. Hsu,2 and P.L. Porter1,2,3* 1Division of Human Biology,Fred Hutchinson Cancer Research Center,Seattle,WA 2Division of Public Health Sciences,Fred Hutchinson Cancer Research Center,Seattle,WA 3Departmentof Pathology,Universityof Washington,Seattle,WA The two main histological types of infiltrating breast cancer, lobular (ILC) and the more common ductal (IDC) carcinoma are morphologically and clinically distinct. To assess the molecular alterations associated with these breast cancer subtypes, we conducted a whole-genome study of 166 archival estrogen receptor (ER)-positive tumors (89 IDC and 77 ILC) using the Affy- metrix GeneChip® Mapping 10K Array to identify sites of loss of heterozygosity (LOH) that either distinguished, or were shared by, the two phenotypes. We found single nucleotide polymorphisms (SNPs) of high-frequency LOH (>50%) common to both ILC and IDC tumors predominately in 11q, 16q, and 17p. Overall, IDC had a slightly higher frequency of LOH events across the genome than ILC (fractional allelic loss 5 0.186 and 0.156). By comparing the average frequency of LOH by chro- mosomal arm, we found IDC tumors with significantly (P < 0.05) higher frequency of LOH on 3p, 5q, 8p, 9p, 20p, and 20q than ILC tumors. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Binding Mode of the Side-By-Side Two-Igv Molecule CD226/DNAM-1 to Its Ligand CD155/Necl-5
Binding mode of the side-by-side two-IgV molecule CD226/DNAM-1 to its ligand CD155/Necl-5 Han Wanga, Jianxun Qib, Shuijun Zhangb,1, Yan Lib, Shuguang Tanb,2, and George F. Gaoa,b,2 aResearch Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences (CAS), 100101 Beijing, China; and bCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, 100101 Beijing, China Edited by K. Christopher Garcia, Stanford University School of Medicine, Stanford, CA, and approved December 3, 2018 (received for review September 11, 2018) Natural killer (NK) cells are important component of innate immu- CD226, also known as DNAM-1, belongs to the Ig superfamily nity and also contribute to activating and reshaping the adaptive and contains two extracellular Ig-like domains (CD226-D1 and immune responses. The functions of NK cells are modulated by CD226-D2), and is widely expressed in monocytes, platelets, multiple inhibitory and stimulatory receptors. Among these recep- T cells, and most of the resting NK cells (8, 13, 19, 20). The tors, the activating receptor CD226 (DNAM-1) mediates NK cell intracellular domain of CD226 does not contain a tyrosine-based activation via binding to its nectin-like (Necl) family ligand, CD155 activation motif, which is accepted as responsible for activating (Necl-5). Here, we present a unique side-by-side arrangement signal transduction of stimulatory molecules (13). Instead, it pattern of two tandem immunoglobulin V-set (IgV) domains transmits the downstream signaling by phosphorylation of in- deriving from the ectodomains of both human CD226 (hCD226- tracellular phosphorylation sites and subsequent association with ecto) and mouse CD226 (mCD226-ecto), which is substantially integrin lymphocyte function-associated antigen 1 (21). -
CD Markers Are Routinely Used for the Immunophenotyping of Cells
ptglab.com 1 CD MARKER ANTIBODIES www.ptglab.com Introduction The cluster of differentiation (abbreviated as CD) is a protocol used for the identification and investigation of cell surface molecules. So-called CD markers are routinely used for the immunophenotyping of cells. Despite this use, they are not limited to roles in the immune system and perform a variety of roles in cell differentiation, adhesion, migration, blood clotting, gamete fertilization, amino acid transport and apoptosis, among many others. As such, Proteintech’s mini catalog featuring its antibodies targeting CD markers is applicable to a wide range of research disciplines. PRODUCT FOCUS PECAM1 Platelet endothelial cell adhesion of blood vessels – making up a large portion molecule-1 (PECAM1), also known as cluster of its intracellular junctions. PECAM-1 is also CD Number of differentiation 31 (CD31), is a member of present on the surface of hematopoietic the immunoglobulin gene superfamily of cell cells and immune cells including platelets, CD31 adhesion molecules. It is highly expressed monocytes, neutrophils, natural killer cells, on the surface of the endothelium – the thin megakaryocytes and some types of T-cell. Catalog Number layer of endothelial cells lining the interior 11256-1-AP Type Rabbit Polyclonal Applications ELISA, FC, IF, IHC, IP, WB 16 Publications Immunohistochemical of paraffin-embedded Figure 1: Immunofluorescence staining human hepatocirrhosis using PECAM1, CD31 of PECAM1 (11256-1-AP), Alexa 488 goat antibody (11265-1-AP) at a dilution of 1:50 anti-rabbit (green), and smooth muscle KD/KO Validated (40x objective). alpha-actin (red), courtesy of Nicola Smart. PECAM1: Customer Testimonial Nicola Smart, a cardiovascular researcher “As you can see [the immunostaining] is and a group leader at the University of extremely clean and specific [and] displays Oxford, has said of the PECAM1 antibody strong intercellular junction expression, (11265-1-AP) that it “worked beautifully as expected for a cell adhesion molecule.” on every occasion I’ve tried it.” Proteintech thanks Dr. -
Characteristics of B Cell-Associated Gene Expression in Patients With
MOLECULAR MEDICINE REPORTS 13: 4113-4121, 2016 Characteristics of B cell-associated gene expression in patients with coronary artery disease WENWEN YAN*, HAOMING SONG*, JINFA JIANG, WENJUN XU, ZHU GONG, QIANGLIN DUAN, CHUANGRONG LI, YUAN XIE and LEMIN WANG Department of Internal Medicine, Division of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, P.R. China Received May 19, 2015; Accepted February 12, 2016 DOI: 10.3892/mmr.2016.5029 Abstract. The current study aimed to identify differentially with the two other groups. Additionally the gene expression expressed B cell-associated genes in peripheral blood mono- levels of B cell regulatory genes were measured. In patients nuclear cells and observe the changes in B cell activation at with AMI, CR1, LILRB2, LILRB3 and VAV1 mRNA expres- different stages of coronary artery disease. Groups of patients sion levels were statistically increased, whereas, CS1 and IL4I1 with acute myocardial infarction (AMI) and stable angina (SA), mRNAs were significantly reduced compared with the SA and as well as healthy volunteers, were recruited into the study control groups. There was no statistically significant difference (n=20 per group). Whole human genome microarray analysis in B cell-associated gene expression levels between patients was performed to examine the expression of B cell-associated with SA and the control group. The present study identified the genes among these three groups. The mRNA expression levels downregulation of genes associated with BCRs, B2 cells and of 60 genes associated with B cell activity and regulation were B cell regulators in patients with AMI, indicating a weakened measured using reverse transcription-quantitative polymerase T cell-B cell interaction and reduced B2 cell activation during chain reaction. -
Technical Note, Appendix: an Analysis of Blood Processing Methods to Prepare Samples for Genechip® Expression Profiling (Pdf, 1
Appendix 1: Signature genes for different blood cell types. Blood Cell Type Source Probe Set Description Symbol Blood Cell Type Source Probe Set Description Symbol Fraction ID Fraction ID Mono- Lympho- GSK 203547_at CD4 antigen (p55) CD4 Whitney et al. 209813_x_at T cell receptor TRG nuclear cytes gamma locus cells Whitney et al. 209995_s_at T-cell leukemia/ TCL1A Whitney et al. 203104_at colony stimulating CSF1R lymphoma 1A factor 1 receptor, Whitney et al. 210164_at granzyme B GZMB formerly McDonough (granzyme 2, feline sarcoma viral cytotoxic T-lymphocyte- (v-fms) oncogene associated serine homolog esterase 1) Whitney et al. 203290_at major histocompatibility HLA-DQA1 Whitney et al. 210321_at similar to granzyme B CTLA1 complex, class II, (granzyme 2, cytotoxic DQ alpha 1 T-lymphocyte-associated Whitney et al. 203413_at NEL-like 2 (chicken) NELL2 serine esterase 1) Whitney et al. 203828_s_at natural killer cell NK4 (H. sapiens) transcript 4 Whitney et al. 212827_at immunoglobulin heavy IGHM Whitney et al. 203932_at major histocompatibility HLA-DMB constant mu complex, class II, Whitney et al. 212998_x_at major histocompatibility HLA-DQB1 DM beta complex, class II, Whitney et al. 204655_at chemokine (C-C motif) CCL5 DQ beta 1 ligand 5 Whitney et al. 212999_x_at major histocompatibility HLA-DQB Whitney et al. 204661_at CDW52 antigen CDW52 complex, class II, (CAMPATH-1 antigen) DQ beta 1 Whitney et al. 205049_s_at CD79A antigen CD79A Whitney et al. 213193_x_at T cell receptor beta locus TRB (immunoglobulin- Whitney et al. 213425_at Homo sapiens cDNA associated alpha) FLJ11441 fis, clone Whitney et al. 205291_at interleukin 2 receptor, IL2RB HEMBA1001323, beta mRNA sequence Whitney et al. -
Combination Immune Therapy
Combination Immune Therapy Translational Medicine Plenary SWOG April 17, 2017 San Francisco T‐cell Activation, Proliferation, and Function is Controlled by Multiple Agonist and Antagonist Signals 1. Co‐stimulation via CD28 ligation 2. CTLA‐4 ligation on activated T 3. T cell function in tissue is subject transduces T cell activating signals cells down‐regulates T cell to feedback inhibition responses T cell Functional Block T cell Activation T cell Activation T cell Proliferative Block T cell T cell APC T cell CTLA‐4 T cell CTLA‐4 TCR TCR PD‐1 PD‐1 PD‐1 IFN‐gamma TCR CD28 Cytokines TCR CD4 MHC MHC PD‐‐L1 MHC B7 MHC CD28 B7 PD‐‐L1 Tumor or Tumor or APC APC Immune cell B7 immune cell APC NK Presence of PD-L1 or TILs1 PPD-L1 /TIL+ PD-L1/TIL + + PD-L1 /TIL+ + PD-L1 /TIL PD-L1 /TIL D-L1 /TIL+ Schalper and Rimm, Yale University NSCLC PD-L1/TIL 45% 17% 26% 12% Type 1 Type 2 Type 3 Type 4 45% 41% 13% 1% Melanoma45% 17% 26% 12% Taube et al Type 1 Type 2 Type 3 Type 4 Tumor‐specific T cells are contained in the PD‐1+ TIL population and are functional after in vitro culture Spectrum of PD‐1/PD‐L1 Antagonist Activity Active • Melanoma Minimal to no activity • Renal cancer (clear cell and non‐clear cell) • Prostate cancer • NSCLC – adenocarcinoma and squamous cell • MMR+ (MSS) colon cancer • Small cell lung cancer • Myeloma • Head and neck cancer • Pancreatic cancer • Gastric and gastroesophageal junction • MMR‐repair deficient tumors (colon, cholangiocarcinoma) • Bladder • Triple negative breast cancer • Ovarian Major PD‐1/PD‐L1 antagonists • Hepatocellular