The Constitutive Extracellular Protein Release by Acute Myeloid
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Multimerin-2 Is a Ligand for Group 14 Family C-Type Lectins CLEC14A, CD93 and CD248 Spanning the Endothelial Pericyte Interface
OPEN Oncogene (2017) 36, 6097–6108 www.nature.com/onc ORIGINAL ARTICLE Multimerin-2 is a ligand for group 14 family C-type lectins CLEC14A, CD93 and CD248 spanning the endothelial pericyte interface KA Khan1, AJ Naylor2, A Khan1, PJ Noy1, M Mambretti1, P Lodhia1, J Athwal1, A Korzystka1, CD Buckley2, BE Willcox3, F Mohammed3 and R Bicknell1 TheC-typelectindomaincontaininggroup14familymembers CLEC14A and CD93 are proteins expressed by endothelium and are implicated in tumour angiogenesis. CD248 (alternatively known as endosialin or tumour endothelial marker-1) is also a member of this family and is expressed by tumour-associated fibroblasts and pericytes. Multimerin-2 (MMRN2) is a unique endothelial specific extracellular matrix protein that has been implicated in angiogenesis and tumour progression. We show that the group 14 C-type lectins CLEC14A, CD93 and CD248 directly bind to MMRN2 and only thrombomodulin of the family does not. Binding to MMRN2 is dependent on a predicted long-loop region in the C-type lectin domainandisabrogatedbymutationwithinthedomain. CLEC14A and CD93 bind to the same non-glycosylated coiled-coil region of MMRN2, but the binding of CD248 occurs on a distinct non-competing region. CLEC14A and CD248 can bind MMRN2 simultaneously and this occurs at the interface between endothelium and pericytes in human pancreatic cancer. A recombinant peptide of MMRN2 spanning the CLEC14A and CD93 binding region blocks CLEC14A extracellular domain binding to the endothelial cellsurfaceaswellasincreasingadherenceofhumanumbilical vein endothelial cells to the active peptide. This MMRN2 peptide is anti-angiogenic in vitro and reduces tumour growth in mouse models. These findings identify novel protein interactions involving CLEC14A, CD93 and CD248 with MMRN2 as targetable components of vessel formation. -
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. -
HOD1164 Biorad Mouse Poster A0 V2.Indd
Biomarker Expression Patterns in Mouse Immune Cells Non Non Non Cells Cells Cells T Cells T Cells T Cells T B Cells B Cells B Cells B NK Cells Cells NK Cells NK Cells NK Mast Cells Mast Cells Mast Cells Mast and Innate and Innate and Innate Stem Cells, Cells, Stem Cells, Stem Cells, Stem Progenitors Progenitors Progenitors Myeloid and Myeloid and Myeloid and Hematopoietic Hematopoietic Hematopoietic Hematopoietic Erythroid Cells Erythroid Cells Erythroid Cells Lymphoid Cells Lymphoid Cells Lymphoid Cells Lymphoid Precursors and and Precursors and Precursors and Precursors Megakaryocyte Megakaryocyte Megakaryocyte Presenting Cells Presenting Cells Presenting Cells Specialist Antigen Antigen Specialist Antigen Specialist Antigen Specialist Markers Markers Markers Langerhans cells Langerhans cells Langerhans cells Langerhans LT-HSC GMP CMP CLP MEP MPP cells B cells B Pro/Pre dendritic cells Myeloid dendriticPlasmacytoid cells Eosinophil Neutrophil Basophil Macrophage Monocyte Granulocyte cellsMast cells NK cells NK Precursor lymphoid progenitor Innate lymphoid cells Innate cells T Double negative thymocyte Double positive thymocyte Gamma/Delta cells T NKT cells Megakaryocyte Platelets Proerythroblast Erythrocyte Endothelial cells Epithelial cells LT-HSC GMP CMP CLP MEP MPP cells B cells B Pro/Pre dendritic cells Myeloid dendriticPlasmacytoid cells Eosinophil Neutrophil Basophil Macrophage Monocyte Granulocyte cellsMast cells NK cells NK Precursor lymphoid progenitor Innate lymphoid cells Innate cells T Double negative thymocyte Double positive -
Supplementary Data
Supplemental figures Supplemental figure 1: Tumor sample selection. A total of 98 thymic tumor specimens were stored in Memorial Sloan-Kettering Cancer Center tumor banks during the study period. 64 cases corresponded to previously untreated tumors, which were resected upfront after diagnosis. Adjuvant treatment was delivered in 7 patients (radiotherapy in 4 cases, cyclophosphamide- doxorubicin-vincristine (CAV) chemotherapy in 3 cases). 34 tumors were resected after induction treatment, consisting of chemotherapy in 16 patients (cyclophosphamide-doxorubicin- cisplatin (CAP) in 11 cases, cisplatin-etoposide (PE) in 3 cases, cisplatin-etoposide-ifosfamide (VIP) in 1 case, and cisplatin-docetaxel in 1 case), in radiotherapy (45 Gy) in 1 patient, and in sequential chemoradiation (CAP followed by a 45 Gy-radiotherapy) in 1 patient. Among these 34 patients, 6 received adjuvant radiotherapy. 1 Supplemental Figure 2: Amino acid alignments of KIT H697 in the human protein and related orthologs, using (A) the Homologene database (exons 14 and 15), and (B) the UCSC Genome Browser database (exon 14). Residue H697 is highlighted with red boxes. Both alignments indicate that residue H697 is highly conserved. 2 Supplemental Figure 3: Direct comparison of the genomic profiles of thymic squamous cell carcinomas (n=7) and lung primary squamous cell carcinomas (n=6). (A) Unsupervised clustering analysis. Gains are indicated in red, and losses in green, by genomic position along the 22 chromosomes. (B) Genomic profiles and recurrent copy number alterations in thymic carcinomas and lung squamous cell carcinomas. Gains are indicated in red, and losses in blue. 3 Supplemental Methods Mutational profiling The exonic regions of interest (NCBI Human Genome Build 36.1) were broken into amplicons of 500 bp or less, and specific primers were designed using Primer 3 (on the World Wide Web for general users and for biologist programmers (see Supplemental Table 2) [1]. -
Is CD248 Involved in the Resolution of Inflammation During Development Of
Is CD248 involved in the resolution of inflammation during development of lung sarcoidosis? and The role of adipose tissue-derived stromal cells in the survival of lymphocytes Presented by Bonita H. R. Apta College of Medical and Dental Sciences University of Birmingham 13th August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. TABLE OF CONTENTS PROJECT 1: ..........................................................................................................................1 1. INTRODUCTION............................................................................................................1 1.1 IMMUNOPATHOLOGY OF SARCOIDOSIS......................................................................1 1.1.1 Aetiology of sarcoidosis..................................................................................2 1.1.2 Pathology of sarcoidosis.................................................................................2 1.1.3 Pulmonary fibrosis in the sarcoid lung............................................................3 -
Whole Exome Sequencing in Coloboma/Microphthalmia: Identification of Novel and Recurrent Variants in Seven Genes
G C A T T A C G G C A T genes Article Whole Exome Sequencing in Coloboma/Microphthalmia: Identification of Novel and Recurrent Variants in Seven Genes Patricia Haug 1 , Samuel Koller 1 , Jordi Maggi 1 , Elena Lang 1,2, Silke Feil 1, Agnès Wlodarczyk 1, Luzy Bähr 1, Katharina Steindl 3, Marianne Rohrbach 4 , Christina Gerth-Kahlert 2,† and Wolfgang Berger 1,5,6,*,† 1 Institute of Medical Molecular Genetics, University of Zurich, 8952 Schlieren, Switzerland; [email protected] (P.H.); [email protected] (S.K.); [email protected] (J.M.); [email protected] (E.L.); [email protected] (S.F.); [email protected] (A.W.); [email protected] (L.B.) 2 Department of Ophthalmology, University Hospital and University of Zurich, 8091 Zurich, Switzerland; [email protected] 3 Institute of Medical Genetics, University of Zurich, 8952 Schlieren, Switzerland; [email protected] 4 Division of Metabolism and Children’s Research Centre, University Children’s Hospital Zurich, 8032 Zurich, Switzerland; [email protected] 5 Neuroscience Center Zurich (ZNZ), University and ETH Zurich, 8006 Zurich, Switzerland 6 Zurich Center for Integrative Human Physiology (ZIHP), University of Zurich, 8006 Zurich, Switzerland * Correspondence: [email protected] † Both authors contributed equally to this work. Abstract: Coloboma and microphthalmia (C/M) are related congenital eye malformations, which can cause significant visual impairment. Molecular diagnosis is challenging as the genes associated to date with C/M account for only a small percentage of cases. Overall, the genetic cause remains unknown in up to 80% of patients. -
A Small Molecule Promotes Cartilage Extracellular Matrix Generation and Inhibits Osteoarthritis Development
ARTICLE https://doi.org/10.1038/s41467-019-09839-x OPEN A small molecule promotes cartilage extracellular matrix generation and inhibits osteoarthritis development Yuanyuan Shi1,2, Xiaoqing Hu1,2, Jin Cheng1, Xin Zhang1, Fengyuan Zhao1, Weili Shi1, Bo Ren1, Huilei Yu1, Peng Yang1, Zong Li1, Qiang Liu1, Zhenlong Liu 1, Xiaoning Duan1, Xin Fu1, Jiying Zhang1, Jianquan Wang1 & Yingfang Ao1 1234567890():,; Degradation of extracellular matrix (ECM) underlies loss of cartilage tissue in osteoarthritis, a common disease for which no effective disease-modifying therapy currently exists. Here we describe BNTA, a small molecule with ECM modulatory properties. BNTA promotes gen- eration of ECM components in cultured chondrocytes isolated from individuals with osteoarthritis. In human osteoarthritic cartilage explants, BNTA treatment stimulates expression of ECM components while suppressing inflammatory mediators. Intra-articular injection of BNTA delays the disease progression in a trauma-induced rat model of osteoarthritis. Furthermore, we identify superoxide dismutase 3 (SOD3) as a mediator of BNTA activity. BNTA induces SOD3 expression and superoxide anion elimination in osteoarthritic chondrocyte culture, and ectopic SOD3 expression recapitulates the effect of BNTA on ECM biosynthesis. These observations identify SOD3 as a relevant drug target, and BNTA as a potential therapeutic agent in osteoarthritis. 1 Institute of Sports Medicine, Beijing Key Laboratory of Sports Injuries, Peking University Third Hospital, 100191 Beijing, China. 2These authors contributed equally: Yuanyuan Shi, Xiaoqing Hu. Correspondence and requests for materials should be addressed to J.W. (email: [email protected]) or to Y.A. (email: [email protected]) NATURE COMMUNICATIONS | (2019) 10:1914 | https://doi.org/10.1038/s41467-019-09839-x | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-09839-x steoarthritis (OA) is the most prevalent musculoskeletal compared with vehicle (Fig. -
Mouse CD Marker Chart Bdbiosciences.Com/Cdmarkers
BD Mouse CD Marker Chart bdbiosciences.com/cdmarkers 23-12400-01 CD Alternative Name Ligands & Associated Molecules T Cell B Cell Dendritic Cell NK Cell Stem Cell/Precursor Macrophage/Monocyte Granulocyte Platelet Erythrocyte Endothelial Cell Epithelial Cell CD Alternative Name Ligands & Associated Molecules T Cell B Cell Dendritic Cell NK Cell Stem Cell/Precursor Macrophage/Monocyte Granulocyte Platelet Erythrocyte Endothelial Cell Epithelial Cell CD Alternative Name Ligands & Associated Molecules T Cell B Cell Dendritic Cell NK Cell Stem Cell/Precursor Macrophage/Monocyte Granulocyte Platelet Erythrocyte Endothelial Cell Epithelial Cell CD1d CD1.1, CD1.2, Ly-38 Lipid, Glycolipid Ag + + + + + + + + CD104 Integrin b4 Laminin, Plectin + DNAX accessory molecule 1 (DNAM-1), Platelet and T cell CD226 activation antigen 1 (PTA-1), T lineage-specific activation antigen 1 CD112, CD155, LFA-1 + + + + + – + – – CD2 LFA-2, Ly-37, Ly37 CD48, CD58, CD59, CD15 + + + + + CD105 Endoglin TGF-b + + antigen (TLiSA1) Mucin 1 (MUC1, MUC-1), DF3 antigen, H23 antigen, PUM, PEM, CD227 CD54, CD169, Selectins; Grb2, β-Catenin, GSK-3β CD3g CD3g, CD3 g chain, T3g TCR complex + CD106 VCAM-1 VLA-4 + + EMA, Tumor-associated mucin, Episialin + + + + + + Melanotransferrin (MT, MTF1), p97 Melanoma antigen CD3d CD3d, CD3 d chain, T3d TCR complex + CD107a LAMP-1 Collagen, Laminin, Fibronectin + + + CD228 Iron, Plasminogen, pro-UPA (p97, MAP97), Mfi2, gp95 + + CD3e CD3e, CD3 e chain, CD3, T3e TCR complex + + CD107b LAMP-2, LGP-96, LAMP-B + + Lymphocyte antigen 9 (Ly9), -
Multi-Omic Single Cell Analysis Resolves Novel Stromal Cell
www.nature.com/scientificreports OPEN Multi‑omic single cell analysis resolves novel stromal cell populations in healthy and diseased human tendon Adrian R. Kendal1,2*, Thomas Layton1, Hussein Al‑Mossawi1, Louise Appleton1, Stephanie Dakin1, Rick Brown2, Constantinos Loizou2, Mark Rogers2, Robert Sharp2 & Andrew Carr1 Tendinopathy accounts for over 30% of primary care consultations and represents a growing healthcare challenge in an active and increasingly ageing population. Recognising critical cells involved in tendinopathy is essential in developing therapeutics to meet this challenge. Tendon cells are heterogenous and sparsely distributed in a dense collagen matrix; limiting previous methods to investigate cell characteristics ex vivo. We applied next generation CITE‑sequencing; combining surface proteomics with in‑depth, unbiased gene expression analysis of > 6400 single cells ex vivo from 11 chronically tendinopathic and 8 healthy human tendons. Immunohistochemistry validated the single cell fndings. For the frst time we show that human tendon harbours at least fve distinct COL1A1/2 expressing tenocyte populations in addition to endothelial cells, T‑cells, and monocytes. These consist of KRT7/SCX+ cells expressing microfbril associated genes, PTX3+ cells co‑expressing high levels of pro‑infammatory markers, APOD+ fbro–adipogenic progenitors, TPPP3/PRG4+ chondrogenic cells, and ITGA7+ smooth muscle‑mesenchymal cells. Surface proteomic analysis identifed markers by which these sub‑classes could be isolated and targeted in future. Chronic tendinopathy was associated with increased expression of pro‑infammatory markers PTX3, CXCL1, CXCL6, CXCL8, and PDPN by microfbril associated tenocytes. Diseased endothelium had increased expression of chemokine and alarmin genes including IL33. Musculoskeletal disorders are responsible for the second largest number of years lived with disability worldwide1. -
Skeletal Muscle Transcriptome in Healthy Aging
ARTICLE https://doi.org/10.1038/s41467-021-22168-2 OPEN Skeletal muscle transcriptome in healthy aging Robert A. Tumasian III 1, Abhinav Harish1, Gautam Kundu1, Jen-Hao Yang1, Ceereena Ubaida-Mohien1, Marta Gonzalez-Freire1, Mary Kaileh1, Linda M. Zukley1, Chee W. Chia1, Alexey Lyashkov1, William H. Wood III1, ✉ Yulan Piao1, Christopher Coletta1, Jun Ding1, Myriam Gorospe1, Ranjan Sen1, Supriyo De1 & Luigi Ferrucci 1 Age-associated changes in gene expression in skeletal muscle of healthy individuals reflect accumulation of damage and compensatory adaptations to preserve tissue integrity. To characterize these changes, RNA was extracted and sequenced from muscle biopsies col- 1234567890():,; lected from 53 healthy individuals (22–83 years old) of the GESTALT study of the National Institute on Aging–NIH. Expression levels of 57,205 protein-coding and non-coding RNAs were studied as a function of aging by linear and negative binomial regression models. From both models, 1134 RNAs changed significantly with age. The most differentially abundant mRNAs encoded proteins implicated in several age-related processes, including cellular senescence, insulin signaling, and myogenesis. Specific mRNA isoforms that changed sig- nificantly with age in skeletal muscle were enriched for proteins involved in oxidative phosphorylation and adipogenesis. Our study establishes a detailed framework of the global transcriptome and mRNA isoforms that govern muscle damage and homeostasis with age. ✉ 1 National Institute on Aging–Intramural Research Program, National