MMP-9 Affects Gene Expression in Chronic Lymphocytic Leukemia
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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. -
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. -
Human ADAM12 Quantikine ELISA
Quantikine® ELISA Human ADAM12 Immunoassay Catalog Number DAD120 For the quantitative determination of A Disintegrin And Metalloproteinase domain- containing protein 12 (ADAM12) concentrations in cell culture supernates, serum, plasma, and urine. This package insert must be read in its entirety before using this product. For research use only. Not for use in diagnostic procedures. TABLE OF CONTENTS SECTION PAGE INTRODUCTION .....................................................................................................................................................................1 PRINCIPLE OF THE ASSAY ...................................................................................................................................................2 LIMITATIONS OF THE PROCEDURE .................................................................................................................................2 TECHNICAL HINTS .................................................................................................................................................................2 MATERIALS PROVIDED & STORAGE CONDITIONS ...................................................................................................3 OTHER SUPPLIES REQUIRED .............................................................................................................................................3 PRECAUTIONS .........................................................................................................................................................................4 -
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. -
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. -
RT² Profiler PCR Array (96-Well Format and 384-Well [4 X 96] Format)
RT² Profiler PCR Array (96-Well Format and 384-Well [4 x 96] Format) Human Toll-Like Receptor Signaling Pathway Cat. no. 330231 PAHS-018ZA For pathway expression analysis Format For use with the following real-time cyclers RT² Profiler PCR Array, Applied Biosystems® models 5700, 7000, 7300, 7500, Format A 7700, 7900HT, ViiA™ 7 (96-well block); Bio-Rad® models iCycler®, iQ™5, MyiQ™, MyiQ2; Bio-Rad/MJ Research Chromo4™; Eppendorf® Mastercycler® ep realplex models 2, 2s, 4, 4s; Stratagene® models Mx3005P®, Mx3000P®; Takara TP-800 RT² Profiler PCR Array, Applied Biosystems models 7500 (Fast block), 7900HT (Fast Format C block), StepOnePlus™, ViiA 7 (Fast block) RT² Profiler PCR Array, Bio-Rad CFX96™; Bio-Rad/MJ Research models DNA Format D Engine Opticon®, DNA Engine Opticon 2; Stratagene Mx4000® RT² Profiler PCR Array, Applied Biosystems models 7900HT (384-well block), ViiA 7 Format E (384-well block); Bio-Rad CFX384™ RT² Profiler PCR Array, Roche® LightCycler® 480 (96-well block) Format F RT² Profiler PCR Array, Roche LightCycler 480 (384-well block) Format G RT² Profiler PCR Array, Fluidigm® BioMark™ Format H Sample & Assay Technologies Description The Human Toll-Like Receptor (TLR) Signaling Pathway RT² Profiler PCR Array profiles the expression of 84 genes central to TLR-mediated signal transduction and innate immunity. The TLR family of pattern recognition receptors (PRRs) detects a wide range of bacteria, viruses, fungi and parasites via pathogen-associated molecular patterns (PAMPs). Each receptor binds to specific ligands, initiates a tailored innate immune response to the specific class of pathogen, and activates the adaptive immune response. -
Blood Flow Guides Sequential Support of Neutrophil Arrest and Diapedesis
RESEARCH ARTICLE Blood flow guides sequential support of neutrophil arrest and diapedesis by PILR-b 1 and PILR-a Yu-Tung Li, Debashree Goswami†, Melissa Follmer, Annette Artz, Mariana Pacheco-Blanco, Dietmar Vestweber* Vascular Cell Biology, Max Planck Institute of Molecular Biomedicine, Mu¨ nster, Germany Abstract Arrest of rapidly flowing neutrophils in venules relies on capturing through selectins and chemokine-induced integrin activation. Despite a long-established concept, we show here that gene inactivation of activating paired immunoglobulin-like receptor (PILR)-b1 nearly halved the efficiency of neutrophil arrest in venules of the mouse cremaster muscle. We found that this receptor binds to CD99, an interaction which relies on flow-induced shear forces and boosts chemokine-induced b2-integrin-activation, leading to neutrophil attachment to endothelium. Upon arrest, binding of PILR-b1 to CD99 ceases, shifting the signaling balance towards inhibitory PILR-a. This enables integrin deactivation and supports cell migration. Thus, flow-driven shear forces guide sequential signaling of first activating PILR-b1 followed by inhibitory PILR-a to prompt neutrophil arrest and then transmigration. This doubles the efficiency of selectin-chemokine driven neutrophil arrest by PILR-b1 and then supports transition to migration by PILR-a. DOI: https://doi.org/10.7554/eLife.47642.001 *For correspondence: [email protected] Present address: †Center for Global Infectious Disease Introduction Research, Seattle Childrens Host defense against pathogens depends on the recruitment of leukocytes to sites of infections Research Institute, Seattle, (Ley et al., 2007). Selectins capture leukocytes to the endothelial cell surface by binding to glyco- United States conjugates (McEver, 2015). -
IHC Test Menu
Immunohistochemistry Test Menu A Alpha fetoprotein [I AFP] CD99 Ewings sarcoma PNET [I CD99] Anaplastic lymphoma kinase -1 [I ALK] CD103 Integrin alpha E [I CD103] Androgen receptor [I ANDRO]* CD117 C-Kit, myeloid, mast cells, GIST [I CD117] Annexin A1, hairy cell, B cell lymphoma [I ANXA1] CD138 plasma cells, subset epithelial cells [I CD138] Anti-Arginase-1 [I ARGINASE] CD163 histiocytes [I CD163] CDK4 cyclin-depdendent kinase-4, clone DCS-31 [I CDK4] B CDX2 colorectal carcinoma [I CDX2] BCL2 follicular lymphoma, apoptosis inhibiting protein [I BCL2] Chromogranin A [I CHROGRAN] BCL6 follicle center B-cell [I BCL6] CMYC C-MYC oncoprotein [I CMYC] BER EP4 Epithelial antigen [I BER EP4] Collagen IV, basement membrane protein [I CLLGIV] BRAF [I V600E] Cyclin D1/PRAD1 mantle cell lymphoma [I CYCLIN] Cytokeratin 5/6, squamous, mesothelial [I CK5/6] C Cytokeratin 7, 54kD [I CK7] CA 19-9 pancreas, liver, ovary, lung tumors [I CA19 9] Cytokeratin 7/8 CAM5.2 [I CAM 5.2] CA 125 epitheliod malignancies ovary, breast [I CA125] Cytokeratin 8, 35BH11 [I CK8] Calcitonin [I CALCT] Cytokeratin 8/18, adenocarcinoma [I CK8/18] Caldesmon, smooth muscle [I CALDSM] Cytokeratin 19 [I CK19] Calretinin; Calcium binding protein [I CALRT] Cytokeratin 20 [I CK20] CAM 5.2 Cytokeratin 7/Cytokeratin 8 [I CAM 5.2] Cytokeratin cocktail, PAN (AE1/AE3) [I AE1/AE3] Carcinoembryonic antigen (CEA) [I CEA] Cytokeratin high molecular weight; 34BE12 [I CK HMW] Cathepsin D, breast carcinoma [I CATHD] Cytomegalovirus [I CMV] CD1a cortical thymocyctes, Langerhans cells [I CD1a] -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Differential Gene Expression and Functional Analysis Implicate Novel Mechanisms in Enteric Nervous System Precursor Migration and Neuritogenesis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Developmental Biology 298 (2006) 259–271 www.elsevier.com/locate/ydbio Differential gene expression and functional analysis implicate novel mechanisms in enteric nervous system precursor migration and neuritogenesis Bhupinder P.S. Vohra a, Keiji Tsuji b,c, Mayumi Nagashimada b,d, Toshihiro Uesaka b, ⁎ ⁎ Daniel Wind a, Ming Fu a, Jennifer Armon a, Hideki Enomoto b, , Robert O. Heuckeroth a, a Department of Pediatrics and Department of Molecular Biology and Pharmacology, Washington University School of Medicine, 660 S. Euclid Avenue, Box 8208, St. Louis, MO 63110, USA b Laboratory for Neuronal Differentiation and Regeneration, RIKEN Center for Developmental Biology, 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan c Department of Pediatrics, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kamigyo-ku, Kyoto 602-8566, Japan d Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan Received for publication 17 April 2006; revised 17 May 2006; accepted 22 June 2006 Available online 27 June 2006 Abstract Enteric nervous system (ENS) development requires complex interactions between migrating neural-crest-derived cells and the intestinal microenvironment. Although some molecules influencing ENS development are known, many aspects remain poorly understood. To identify additional molecules critical for ENS development, we used DNA microarray, quantitative real-time PCR and in situ hybridization to compare gene expression in E14 and P0 aganglionic or wild type mouse intestine. Eighty-three genes were identified with at least two-fold higher expression in wild type than aganglionic bowel. -
WO 2018/067991 Al 12 April 2018 (12.04.2018) W !P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2018/067991 Al 12 April 2018 (12.04.2018) W !P O PCT (51) International Patent Classification: achusetts 021 15 (US). THE BROAD INSTITUTE, A61K 51/10 (2006.01) G01N 33/574 (2006.01) INC. [US/US]; 415 Main Street, Cambridge, Massachu C07K 14/705 (2006.01) A61K 47/68 (2017.01) setts 02142 (US). MASSACHUSETTS INSTITUTE OF G01N 33/53 (2006.01) TECHNOLOGY [US/US]; 77 Massachusetts Avenue, Cambridge, Massachusetts 02139 (US). (21) International Application Number: PCT/US2017/055625 (72) Inventors; and (71) Applicants: KUCHROO, Vijay K. [IN/US]; 30 Fairhaven (22) International Filing Date: Road, Newton, Massachusetts 02149 (US). ANDERSON, 06 October 2017 (06.10.2017) Ana Carrizosa [US/US]; 110 Cypress Street, Brookline, (25) Filing Language: English Massachusetts 02445 (US). MADI, Asaf [US/US]; c/o The Brigham and Women's Hospital, Inc., 75 Francis (26) Publication Language: English Street, Boston, Massachusetts 021 15 (US). CHIHARA, (30) Priority Data: Norio [US/US]; c/o The Brigham and Women's Hospital, 62/405,835 07 October 2016 (07.10.2016) US Inc., 75 Francis Street, Boston, Massachusetts 021 15 (US). REGEV, Aviv [US/US]; 15a Ellsworth Ave, Cambridge, (71) Applicants: THE BRIGHAM AND WOMEN'S HOSPI¬ Massachusetts 02139 (US). SINGER, Meromit [US/US]; TAL, INC. [US/US]; 75 Francis Street, Boston, Mass c/o The Broad Institute, Inc., 415 Main Street, Cambridge, (54) Title: MODULATION OF NOVEL IMMUNE CHECKPOINT TARGETS CD4 FIG. -
Comparative Transcriptome Analyses Reveal Genes Associated with SARS-Cov-2 Infection of Human Lung Epithelial Cells
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.24.169268; this version posted June 24, 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. Comparative transcriptome analyses reveal genes associated with SARS-CoV-2 infection of human lung epithelial cells Darshan S. Chandrashekar1, *, Upender Manne1,2,#, Sooryanarayana Varambally1,2,3,#* 1Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 2Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 3Institute of Informatics, University of Alabama at Birmingham, Birmingham, AL # Share Senior Authorship (UM Email: [email protected]) *Correspondence to: Sooryanarayana Varambally, Ph.D., Molecular and Cellular Pathology, Department of Pathology, Wallace Tumor Institute, 4th floor, 20B, University of Alabama at Birmingham, Birmingham, AL 35233, USA Phone: (205) 996-1654 Email: [email protected] And Darshan S. Chandrashekar Ph.D., Department of Pathology, University of Alabama at Birmingham, Birmingham, AL Email: [email protected] Running Title: SARS-CoV-2 gene signature in infected lung epithelial cells Disclosure of Potential Conflicts of Interest: No potential conflicts of interest were disclosed. Page | 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.06.24.169268; this version posted June 24, 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: Understanding the molecular mechanism of SARS-CoV-2 infection (the cause of COVID-19) is a scientific priority for 2020. Various research groups are working toward development of vaccines and drugs, and many have published genomic and transcriptomic data related to this viral infection.