Differential Modulation of Adhesion Molecule Expression By
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Development and Maintenance of Epidermal Stem Cells in Skin Adnexa
International Journal of Molecular Sciences Review Development and Maintenance of Epidermal Stem Cells in Skin Adnexa Jaroslav Mokry * and Rishikaysh Pisal Medical Faculty, Charles University, 500 03 Hradec Kralove, Czech Republic; [email protected] * Correspondence: [email protected] Received: 30 October 2020; Accepted: 18 December 2020; Published: 20 December 2020 Abstract: The skin surface is modified by numerous appendages. These structures arise from epithelial stem cells (SCs) through the induction of epidermal placodes as a result of local signalling interplay with mesenchymal cells based on the Wnt–(Dkk4)–Eda–Shh cascade. Slight modifications of the cascade, with the participation of antagonistic signalling, decide whether multipotent epidermal SCs develop in interfollicular epidermis, scales, hair/feather follicles, nails or skin glands. This review describes the roles of epidermal SCs in the development of skin adnexa and interfollicular epidermis, as well as their maintenance. Each skin structure arises from distinct pools of epidermal SCs that are harboured in specific but different niches that control SC behaviour. Such relationships explain differences in marker and gene expression patterns between particular SC subsets. The activity of well-compartmentalized epidermal SCs is orchestrated with that of other skin cells not only along the hair cycle but also in the course of skin regeneration following injury. This review highlights several membrane markers, cytoplasmic proteins and transcription factors associated with epidermal SCs. Keywords: stem cell; epidermal placode; skin adnexa; signalling; hair pigmentation; markers; keratins 1. Epidermal Stem Cells as Units of Development 1.1. Development of the Epidermis and Placode Formation The embryonic skin at very early stages of development is covered by a surface ectoderm that is a precursor to the epidermis and its multiple derivatives. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Anti-Human CD31 (EPR3094)-151Eu
PRD025-3151025D PRODUCT INFORMATION SHEET Anti-Human CD31/PECAM-1-151Eu Pathologist-Verified Clone for Imaging Mass Cytometry™ Catalog: 3151025D Clone: EPR3094 Package size and concentration: 25 µg, 0.5 mg/mL Isotype: Rabbit IgG Storage: Store at 4 °C. Do not freeze. Formulation: Antibody stabilizer with 0.05% sodium azide Reactivity: Human Application: IMC-Paraffin Technical Information Application: The metal-tagged antibody is designed and formulated for the application of Imaging Mass Cytometry (IMC™) using the Fluidigm Hyperion™ Imaging System on formalin-fixed, paraffin-embedded (FFPE) tissue sections. Quality control: Each lot of conjugated antibody is quality control- tested by Imaging Mass Cytometry on tissue sections. Recommended concentration: For optimal performance it is recommended that the antibody be titrated for the desired application. Suggested initial dilution range: IMC-Paraffin: 1:50 to 1:200 Description CD31, also known as platelet endothelial cell adhesion molecule-1 (PECAM-1) or endoCAM, is a type I transmembrane glycoprotein. It is expressed by endothelial cells on blood vessels, as well as by monocytes, granulocytes, platelets and a small subset of T cells. It plays a role in wound healing, angiogenesis and removal of aged neutrophils and in cellular migration in an inflammatory situation. Human spleen (FFPE) stained with 151Eu-anti-CD31 (EPR3094) at a dilution of 1:100 (green pseudocolor), 141Pr-anti-αSMA (1A4) (red pseudocolor), and iridium DNA intercalator (blue pseudocolor). Heat-mediated antigen retrieval was performed using Tris/EDTA buffer pH 9. Scale bar size = 100 µm. References Chang, Q. et al. "Staining of frozen and formalin-fixed, paraffin-embedded tissues with metal-labeled antibodies for imaging mass cytometry analysis." Current Protocols in Cytometry 82 (2017): 12.47.1–12.47.8. -
Supplemental Figure 1. Vimentin
Double mutant specific genes Transcript gene_assignment Gene Symbol RefSeq FDR Fold- FDR Fold- FDR Fold- ID (single vs. Change (double Change (double Change wt) (single vs. wt) (double vs. single) (double vs. wt) vs. wt) vs. single) 10485013 BC085239 // 1110051M20Rik // RIKEN cDNA 1110051M20 gene // 2 E1 // 228356 /// NM 1110051M20Ri BC085239 0.164013 -1.38517 0.0345128 -2.24228 0.154535 -1.61877 k 10358717 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 /// BC 1700025G04Rik NM_197990 0.142593 -1.37878 0.0212926 -3.13385 0.093068 -2.27291 10358713 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 1700025G04Rik NM_197990 0.0655213 -1.71563 0.0222468 -2.32498 0.166843 -1.35517 10481312 NM_027283 // 1700026L06Rik // RIKEN cDNA 1700026L06 gene // 2 A3 // 69987 /// EN 1700026L06Rik NM_027283 0.0503754 -1.46385 0.0140999 -2.19537 0.0825609 -1.49972 10351465 BC150846 // 1700084C01Rik // RIKEN cDNA 1700084C01 gene // 1 H3 // 78465 /// NM_ 1700084C01Rik BC150846 0.107391 -1.5916 0.0385418 -2.05801 0.295457 -1.29305 10569654 AK007416 // 1810010D01Rik // RIKEN cDNA 1810010D01 gene // 7 F5 // 381935 /// XR 1810010D01Rik AK007416 0.145576 1.69432 0.0476957 2.51662 0.288571 1.48533 10508883 NM_001083916 // 1810019J16Rik // RIKEN cDNA 1810019J16 gene // 4 D2.3 // 69073 / 1810019J16Rik NM_001083916 0.0533206 1.57139 0.0145433 2.56417 0.0836674 1.63179 10585282 ENSMUST00000050829 // 2010007H06Rik // RIKEN cDNA 2010007H06 gene // --- // 6984 2010007H06Rik ENSMUST00000050829 0.129914 -1.71998 0.0434862 -2.51672 -
Clinical and Biological Characteristics of Medullary and Extramedullary Plasma Cell Dyscrasias
biology Article Clinical and Biological Characteristics of Medullary and Extramedullary Plasma Cell Dyscrasias Snjezana Janjetovic 1,2, Philipp Lohneis 3,4, Axel Nogai 5, Derya Balci 5,6, Leo Rasche 7, Doris Jähne 8, Carsten Bokemeyer 1, Georgia Schilling 1,9, Igor Wolfgang Blau 5,10 and Martin Schmidt-Hieber 2,5,11,* 1 Department of Oncology, Hematology and Bone Marrow Transplantation with Section Pneumology, University Clinic Hamburg-Eppendorf, 20251 Hamburg, Germany; [email protected] (S.J.); [email protected] (C.B.); [email protected] (G.S.) 2 Clinic of Hematology and Stem Cell Transplantation, HELIOS Clinic Berlin-Buch, 13125 Berlin, Germany 3 Institute of Pathology, Charité University Medicine Berlin, 10117 Berlin, Germany; [email protected] 4 Institute of Pathology, University of Cologne, 50923 Cologne, Germany 5 Clinic of Hematology, Oncology and Tumor Immunology, Campus Benjamin Franklin, Charité University Medicine Berlin, 12203 Berlin, Germany; [email protected] (A.N.); [email protected] (D.B.); [email protected] (I.W.B.) 6 St. Joseph Hospital Berlin-Tempelhof, 12101 Berlin, Germany 7 Department of Internal Medicine II, University Hospital Würzburg, 97080 Würzburg, Germany; [email protected] 8 Institute of Pathology, HELIOS Clinic Berlin-Zehlendorf, 14165 Berlin, Germany; [email protected] 9 Citation: Janjetovic, S.; Lohneis, P.; Department of Hematology, Oncology, Palliative Care and Rheumatology, Asklepios Hospital Altona, Asklepios Tumorzentrum, 22763 Hamburg, Germany Nogai, A.; Balci, D.; Rasche, L.; 10 Clinic of Hematology, Oncology and Tumor Immunology, Campus Virchow Klinikum, Charité University Jähne, D.; Bokemeyer, C.; Medicine Berlin, 10117 Berlin, Germany Schilling, G.; Blau, I.W.; 11 Clinic of Hematology and Oncology, Carl-Thiem-Klinikum, 03048 Cottbus, Germany Schmidt-Hieber, M. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Supplementary Online Content Thaivalappil S, Bauman N, Saieg A, Movius E, Brown KJ, Preciado D. Propranolol-mediated attenuation of MMP-9 excretion in infants with hemangiomas. JAMA Otolaryngol Head Neck Surg. doi:10.1001/jamaoto.2013.4773 eTable. List of All of the Proteins Identified by Proteomics This supplementary material has been provided by the authors to give readers additional information about their work. © 2013 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/01/2021 eTable. List of All of the Proteins Identified by Proteomics Protein Name Prop 12 mo/4 Pred 12 mo/4 Δ Prop to Pred mo mo Myeloperoxidase OS=Homo sapiens GN=MPO 26.00 143.00 ‐117.00 Lactotransferrin OS=Homo sapiens GN=LTF 114.00 205.50 ‐91.50 Matrix metalloproteinase‐9 OS=Homo sapiens GN=MMP9 5.00 36.00 ‐31.00 Neutrophil elastase OS=Homo sapiens GN=ELANE 24.00 48.00 ‐24.00 Bleomycin hydrolase OS=Homo sapiens GN=BLMH 3.00 25.00 ‐22.00 CAP7_HUMAN Azurocidin OS=Homo sapiens GN=AZU1 PE=1 SV=3 4.00 26.00 ‐22.00 S10A8_HUMAN Protein S100‐A8 OS=Homo sapiens GN=S100A8 PE=1 14.67 30.50 ‐15.83 SV=1 IL1F9_HUMAN Interleukin‐1 family member 9 OS=Homo sapiens 1.00 15.00 ‐14.00 GN=IL1F9 PE=1 SV=1 MUC5B_HUMAN Mucin‐5B OS=Homo sapiens GN=MUC5B PE=1 SV=3 2.00 14.00 ‐12.00 MUC4_HUMAN Mucin‐4 OS=Homo sapiens GN=MUC4 PE=1 SV=3 1.00 12.00 ‐11.00 HRG_HUMAN Histidine‐rich glycoprotein OS=Homo sapiens GN=HRG 1.00 12.00 ‐11.00 PE=1 SV=1 TKT_HUMAN Transketolase OS=Homo sapiens GN=TKT PE=1 SV=3 17.00 28.00 ‐11.00 CATG_HUMAN Cathepsin G OS=Homo -
Bilirubin Modulates Leukocyte Recruitment to Sites of Inflammation
Bilirubin modulates leukocyte recruitment to sites of inflammation A dissertation presented by Megan Elizabeth Vogel B.S., Ohio University 2011 To The Graduate School of the University of Cincinnati in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Internal Medicine, Division of Digestive Diseases of the College of Medicine March 2017 Committee Chair: Stephen D. Zucker, M.D. Abstract Background: Bilirubin is the principal end-product of heme catabolism. While generally thought to be little more than a metabolic by-product, there is accumulating epidemiological evidence that higher serum bilirubin levels are associated with a lower incidence of inflammatory disorders such as inflammatory bowel and cardiovascular disease. However, the mechanism(s) by which bilirubin may exert an anti-inflammatory effect remains poorly understood. The transendothelial migration of immune cells to sites of inflammation is a highly- ordered, multi-step process that is initiated when endothelial cells become activated to express adhesion molecules, including Vascular Cell Adhesion Molecule 1 (VCAM-1) and Intercellular Adhesion Molecule 1 (ICAM-1), on their luminal surface. The specific binding of leukocyte integrins to VCAM-1 and/or ICAM-1 triggers endothelial signaling cascades that result in the intracellular generation of superoxide and hydrogen peroxide. These reactive oxygen species (ROS) induce reorganization of the actin cytoskeleton, promoting leukocyte transmigration. There are many disease states in which VCAM-1 and ICAM-1 are believed to play an essential pathogenic role in mediating leukocyte trafficking. As bilirubin is a potent, chain-breaking antioxidant, our central hypothesis is that it exerts an anti-inflammatory effect by disrupting adhesion molecule-mediated leukocyte migration through the scavenging of ROS signaling intermediaries. -
Integrin Binding to the Trimeric Interface of CD40L Plays a Critical Role in CD40/CD40L Signaling
Integrin Binding to the Trimeric Interface of CD40L Plays a Critical Role in CD40/CD40L Signaling This information is current as Yoko K. Takada, Jessica Yu, Michiko Shimoda and of October 2, 2021. Yoshikazu Takada J Immunol published online 22 July 2019 http://www.jimmunol.org/content/early/2019/07/19/jimmun ol.1801630 Downloaded from Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision http://www.jimmunol.org/ • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: by guest on October 2, 2021 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 © 2019 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published July 22, 2019, doi:10.4049/jimmunol.1801630 The Journal of Immunology Integrin Binding to the Trimeric Interface of CD40L Plays a Critical Role in CD40/CD40L Signaling Yoko K. Takada,*,† Jessica Yu,* Michiko Shimoda,* and Yoshikazu Takada*,† CD40L plays a major role in immune response and is a major therapeutic target for inflammation. Integrin a5b1 and CD40 simultaneously bind to CD40L. It is unclear if a5b1 and CD40 work together in CD40/CD40L signaling or how a5b1 binds to CD40L. -
Fcrl5 and T-Bet Define Influenza-Specific Memory B Cells That Predict Long-Lived Antibody 2 Responses 3 4 Anoma Nellore1, Christopher D
bioRxiv preprint doi: https://doi.org/10.1101/643973; this version posted May 20, 2019. 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. 1 Fcrl5 and T-bet define influenza-specific memory B cells that predict long-lived antibody 2 responses 3 4 Anoma Nellore1, Christopher D. Scharer2, Rodney G. King3, Christopher M. Tipton4, Esther 5 Zumaquero3, Christopher Fucile3,5, Betty Mousseau3, John E. Bradley6, Kevin Macon3, Tian Mi2, 6 Paul A. Goepfert1,3, John F. Kearney,3 Jeremy M. Boss,2 Troy D. Randall6, Ignacio Sanz4, 7 Alexander Rosenberg3,5, Frances E. Lund3 8 9 10 11 1Dept. of Medicine, Division of Infectious Disease, 3Dept. of Microbiology, 5Informatics Institute, 12 6Dept of Medicine, Division of Clinical Immunology and Rheumatology, at The University of 13 Alabama at Birmingham, Birmingham, AL 35294 USA 14 15 2Dept. of Microbiology and Immunology and 4Department of Medicine, Division of 16 Rheumatology, at Emory University, Atlanta, GA 30322, USA 17 18 19 20 21 22 23 24 25 26 27 28 Lead Contact and to whom correspondence should be addressed: [email protected] 29 30 Mailing address: Frances E. Lund, PhD 31 Charles H. McCauley Professor and Chair 32 Dept of Microbiology 33 University of Alabama at Birmingham (UAB) 34 Dept of Microbiology 35 University of Alabama at Birmingham (UAB) 36 276 BBRB Box 11 37 1720 2nd Avenue South 38 Birmingham AL 35294-2170 39 40 SHORT RUNNING TITLE: Effector memory B cell development after influenza vaccination 41 bioRxiv preprint doi: https://doi.org/10.1101/643973; this version posted May 20, 2019. -
CD226 T Cells Expressing the Receptors TIGIT and Divergent Phenotypes of Human Regulatory
The Journal of Immunology Divergent Phenotypes of Human Regulatory T Cells Expressing the Receptors TIGIT and CD226 Christopher A. Fuhrman,*,1 Wen-I Yeh,*,1 Howard R. Seay,* Priya Saikumar Lakshmi,* Gaurav Chopra,† Lin Zhang,* Daniel J. Perry,* Stephanie A. McClymont,† Mahesh Yadav,† Maria-Cecilia Lopez,‡ Henry V. Baker,‡ Ying Zhang,x Yizheng Li,{ Maryann Whitley,{ David von Schack,x Mark A. Atkinson,* Jeffrey A. Bluestone,‡ and Todd M. Brusko* Regulatory T cells (Tregs) play a central role in counteracting inflammation and autoimmunity. A more complete understanding of cellular heterogeneity and the potential for lineage plasticity in human Treg subsets may identify markers of disease pathogenesis and facilitate the development of optimized cellular therapeutics. To better elucidate human Treg subsets, we conducted direct transcriptional profiling of CD4+FOXP3+Helios+ thymic-derived Tregs and CD4+FOXP3+Helios2 T cells, followed by comparison with CD4+FOXP32Helios2 T conventional cells. These analyses revealed that the coinhibitory receptor T cell Ig and ITIM domain (TIGIT) was highly expressed on thymic-derived Tregs. TIGIT and the costimulatory factor CD226 bind the common ligand CD155. Thus, we analyzed the cellular distribution and suppressive activity of isolated subsets of CD4+CD25+CD127lo/2 T cells expressing CD226 and/or TIGIT. We observed TIGIT is highly expressed and upregulated on Tregs after activation and in vitro expansion, and is associated with lineage stability and suppressive capacity. Conversely, the CD226+TIGIT2 population was associated with reduced Treg purity and suppressive capacity after expansion, along with a marked increase in IL-10 and effector cytokine production. These studies provide additional markers to delineate functionally distinct Treg subsets that may help direct cellular therapies and provide important phenotypic markers for assessing the role of Tregs in health and disease.