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Plakins, a Versatile Family of Cytolinkers: Roles in Skin Integrity and in Human Diseases Jamal-Eddine Bouameur1,2, Bertrand Favre1 and Luca Borradori1
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector REVIEW Plakins, a Versatile Family of Cytolinkers: Roles in Skin Integrity and in Human Diseases Jamal-Eddine Bouameur1,2, Bertrand Favre1 and Luca Borradori1 The plakin family consists of giant proteins involved in in (Roper et al., 2002; Jefferson et al., 2004; Sonnenberg and the cross-linking and organization of the cytoskeleton Liem, 2007; Boyer et al., 2010; Suozzi et al., 2012). and adhesion complexes. They further modulate sev- Mammalian plakins share a similar structural organization eral fundamental biological processes, such as cell and comprise seven members: bullous pemphigoid antigen 1 adhesion, migration, and polarization or signaling (BPAG1), desmoplakin, envoplakin, epiplakin, microtubule- pathways. Inherited and acquired defects of plakins actin cross-linking factor 1 (MACF1), periplakin, and plectin in humans and in animal models potentially lead to (Figure 1) (Choi et al., 2002; Jefferson et al., 2007; Choi and dramatic manifestations in the skin, striated muscles, Weis, 2011; Ortega et al., 2011). The existence of develop- and/or nervous system. These observations unequivo- mentally regulated and tissue-specific splice variants of some cally demonstrate the key role of plakins in the plakins further increases the diversity and versatility of these proteins (Table 1; Figure 1; Leung et al., 2001; Rezniczek et al., maintenance of tissue integrity. Here we review the 2003; Lin et al., 2005; Jefferson et al., 2006; Cabral et al., 2010). characteristics of the mammalian plakin members BPAG1 (bullous pemphigoid antigen 1), desmoplakin, PLAKINS IN THE EPIDERMIS plectin, envoplakin, epiplakin, MACF1 (microtubule- Epithelial BPAG1 (BPAG1e, also called BP230) constitutes the actin cross-linking factor 1), and periplakin, highlight- epithelium-specific isoform of BPAG1 and is localized in basal ing their role in skin homeostasis and diseases. -
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 -
A Cell Line P53 Mutation Type UM
A Cell line p53 mutation Type UM-SCC 1 wt UM-SCC5 Exon 5, 157 GTC --> TTC Missense mutation by transversion (Valine --> Phenylalanine UM-SCC6 wt UM-SCC9 wt UM-SCC11A wt UM-SCC11B Exon 7, 242 TGC --> TCC Missense mutation by transversion (Cysteine --> Serine) UM-SCC22A Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC22B Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC38 Exon 5, 132 AAG --> AAT Missense mutation by transversion (Lysine --> Asparagine) UM-SCC46 Exon 8, 278 CCT --> CGT Missense mutation by transversion (Proline --> Alanine) B 1 Supplementary Methods Cell Lines and Cell Culture A panel of ten established HNSCC cell lines from the University of Michigan series (UM-SCC) was obtained from Dr. T. E. Carey at the University of Michigan, Ann Arbor, MI. The UM-SCC cell lines were derived from eight patients with SCC of the upper aerodigestive tract (supplemental Table 1). Patient age at tumor diagnosis ranged from 37 to 72 years. The cell lines selected were obtained from patients with stage I-IV tumors, distributed among oral, pharyngeal and laryngeal sites. All the patients had aggressive disease, with early recurrence and death within two years of therapy. Cell lines established from single isolates of a patient specimen are designated by a numeric designation, and where isolates from two time points or anatomical sites were obtained, the designation includes an alphabetical suffix (i.e., "A" or "B"). The cell lines were maintained in Eagle's minimal essential media supplemented with 10% fetal bovine serum and penicillin/streptomycin. -
Steroid-Dependent Regulation of the Oviduct: a Cross-Species Transcriptomal Analysis
University of Kentucky UKnowledge Theses and Dissertations--Animal and Food Sciences Animal and Food Sciences 2015 Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis Katheryn L. Cerny University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Cerny, Katheryn L., "Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis" (2015). Theses and Dissertations--Animal and Food Sciences. 49. https://uknowledge.uky.edu/animalsci_etds/49 This Doctoral Dissertation is brought to you for free and open access by the Animal and Food Sciences at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Animal and Food Sciences by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
And Single-Cell RNA-Sequencing to Define the Chondrocyte Gene Expression Signature in the Murine Knee Joint
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.13.148056; this version posted June 15, 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. Full Title: Combining segmental bulk- and single-cell RNA-sequencing to define the chondrocyte gene expression signature in the murine knee joint Authors: Vikram Sunkara1,2 #, Gitta A. Heinz3, Frederik F. Heinrich3, Pawel Durek3, Ali Mobasheri4,5,6,7, Mir-Farzin Mashreghi3,8,9*, Annemarie Lang3,10 * # *These authors contributed equally. #Corresponding authors Affiliations 1Zuse Institute Berlin, Germany 2Department of Mathematics and Computer Science, Freie Universität Berlin, Germany 3German Rheumatism Research Centre (DRFZ) Berlin, a Leibniz Institute, Berlin, Germany 4Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland 5Department of Regenerative Medicine, State Research Institute, Centre for Innovative Medicine, Vilnius, Lithuania 6University Medical Center Utrecht, Departments of Orthopedics, Rheumatology and Clinical Immunology, Utrecht, The Netherlands 7Centre for Sport, Exercise and Osteoarthritis Versus Arthritis, Queen’s Medical Centre, Nottingham, United Kingdom 8Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, and Berlin Institute of Health, Department of Pediatrics, Division of Pulmonology, Immunology and Critical Care Medicine, Berlin, Germany 9BCRT/DRFZ Single-Cell Laboratory for Advanced Cellular Therapies - Brandenburg Center for Regenerative Therapies (BCRT), Berlin, Germany 10Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt- Universität zu Berlin, and Berlin Institute of Health, Department of Rheumatology and Clinical Immunology, Berlin, Germany Correspondence: Dr. Annemarie Lang, PhD Dr. -
The Transition from Primary Colorectal Cancer to Isolated Peritoneal Malignancy
medRxiv preprint doi: https://doi.org/10.1101/2020.02.24.20027318; this version posted February 25, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . The transition from primary colorectal cancer to isolated peritoneal malignancy is associated with a hypermutant, hypermethylated state Sally Hallam1, Joanne Stockton1, Claire Bryer1, Celina Whalley1, Valerie Pestinger1, Haney Youssef1, Andrew D Beggs1 1 = Surgical Research Laboratory, Institute of Cancer & Genomic Science, University of Birmingham, B15 2TT. Correspondence to: Andrew Beggs, [email protected] KEYWORDS: Colorectal cancer, peritoneal metastasis ABBREVIATIONS: Colorectal cancer (CRC), Colorectal peritoneal metastasis (CPM), Cytoreductive surgery and heated intraperitoneal chemotherapy (CRS & HIPEC), Disease free survival (DFS), Differentially methylated regions (DMR), Overall survival (OS), TableFormalin fixed paraffin embedded (FFPE), Hepatocellular carcinoma (HCC) ARTICLE CATEGORY: Research article NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 1 medRxiv preprint doi: https://doi.org/10.1101/2020.02.24.20027318; this version posted February 25, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . NOVELTY AND IMPACT: Colorectal peritoneal metastasis (CPM) are associated with limited and variable survival despite patient selection using known prognostic factors and optimal currently available treatments. -
The Effect of Rbfox2 Modulation on Retinal Transcriptome and Visual
www.nature.com/scientificreports OPEN The efect of Rbfox2 modulation on retinal transcriptome and visual function Lei Gu1, Riki Kawaguchi2, Joseph Caprioli1,3 & Natik Piri1,3* Rbfox proteins regulate alternative splicing, mRNA stability and translation. These proteins are involved in neurogenesis and have been associated with various neurological conditions. Here, we analyzed Rbfox2 expression in adult and developing mouse retinas and the efect of its downregulation on visual function and retinal transcriptome. In adult rodents, Rbfox2 is expressed in all retinal ganglion cell (RGC) subtypes, horizontal cells, as well as GABAergic amacrine cells (ACs). Among GABAergic AC subtypes, Rbfox2 was colocalized with cholinergic starburst ACs, NPY (neuropeptide Y)- and EBF1 (early B-cell factor 1)-positive ACs. In diferentiating retinal cells, Rbfox2 expression was observed as early as E12 and, unlike Rbfox1, which changes its subcellular localization from cytoplasmic to predominantly nuclear at around P0, Rbfox2 remains nuclear throughout retinal development. Rbfox2 knockout in adult animals had no detectable efect on retinal gross morphology. However, the visual clif test revealed a signifcant abnormality in the depth perception of Rbfox2- defcient animals. Gene set enrichment analysis identifed genes regulating the RNA metabolic process as a top enriched class of genes in Rbfox2-defcient retinas. Pathway analysis of the top 100 diferentially expressed genes has identifed Rbfox2-regulated genes associated with circadian rhythm and entrainment, glutamatergic/cholinergic/dopaminergic synaptic function, calcium and PI3K-AKT signaling. Te family of RNA binding protein, fox-1 (Rbfox) homolog includes three evolutionarily conserved members, Rbfox1, Rbfox2 and Rbfox3, that regulate cell- or tissue-specifc alternative splicing at diferent developmental stages. -
1 No. Affymetrix ID Gene Symbol Genedescription Gotermsbp Q Value 1. 209351 at KRT14 Keratin 14 Structural Constituent of Cyto
1 Affymetrix Gene Q No. GeneDescription GOTermsBP ID Symbol value structural constituent of cytoskeleton, intermediate 1. 209351_at KRT14 keratin 14 filament, epidermis development <0.01 biological process unknown, S100 calcium binding calcium ion binding, cellular 2. 204268_at S100A2 protein A2 component unknown <0.01 regulation of progression through cell cycle, extracellular space, cytoplasm, cell proliferation, protein kinase C inhibitor activity, protein domain specific 3. 33323_r_at SFN stratifin/14-3-3σ binding <0.01 regulation of progression through cell cycle, extracellular space, cytoplasm, cell proliferation, protein kinase C inhibitor activity, protein domain specific 4. 33322_i_at SFN stratifin/14-3-3σ binding <0.01 structural constituent of cytoskeleton, intermediate 5. 201820_at KRT5 keratin 5 filament, epidermis development <0.01 structural constituent of cytoskeleton, intermediate 6. 209125_at KRT6A keratin 6A filament, ectoderm development <0.01 regulation of progression through cell cycle, extracellular space, cytoplasm, cell proliferation, protein kinase C inhibitor activity, protein domain specific 7. 209260_at SFN stratifin/14-3-3σ binding <0.01 structural constituent of cytoskeleton, intermediate 8. 213680_at KRT6B keratin 6B filament, ectoderm development <0.01 receptor activity, cytosol, integral to plasma membrane, cell surface receptor linked signal transduction, sensory perception, tumor-associated calcium visual perception, cell 9. 202286_s_at TACSTD2 signal transducer 2 proliferation, membrane <0.01 structural constituent of cytoskeleton, cytoskeleton, intermediate filament, cell-cell adherens junction, epidermis 10. 200606_at DSP desmoplakin development <0.01 lectin, galactoside- sugar binding, extracellular binding, soluble, 7 space, nucleus, apoptosis, 11. 206400_at LGALS7 (galectin 7) heterophilic cell adhesion <0.01 2 S100 calcium binding calcium ion binding, epidermis 12. 205916_at S100A7 protein A7 (psoriasin 1) development <0.01 S100 calcium binding protein A8 (calgranulin calcium ion binding, extracellular 13. -
Identification of Tgfβ-Related Genes Regulated in Murine Osteoarthritis and Chondrocyte Hypertrophy by Comparison of Multiple Microarray Datasets
http://hdl.handle.net/1765/109466 Identification of TGFβ-related genes regulated in murine osteoarthritis and chondrocyte hypertrophy by comparison of multiple microarray datasets Laurie M.G. de Kroon1,2,&, Guus G.H. van den Akker1,&, Bent Brachvogel3,4, Roberto Narcisi2, Daniele Belluoccio5, Florien Jenner6, John F. Bateman5, Christopher B. Little7, Pieter Brama8, Esmeralda N. Blaney Davidson1, Peter M. van der Kraan1, Gerjo J.V.M. van Osch2,9* 1Department of Rheumatology, Experimental Rheumatology, Radboud University Medical Center, Nijmegen, the Netherlands 2Department of Orthopedics, Erasmus MC University Medical Center, Rotterdam, the Netherlands 3Center for Biochemistry, Medical Faculty, University of Cologne, Cologne, Germany 4Department of Pediatrics and Adolescent Medicine, Experimental Neonatology, Medical Faculty, University of Cologne, Cologne, Germany 5Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia 6Equine University Hospital, University of Veterinary Medicine, Vienna, Austria 7Raymond Purves Bone and Joint Research Laboratories, Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales, Australia 8Veterinary Clinical Sciences, School of Veterinary Medicine, University College Dublin, Dublin, Ireland 9Department of Otorhinolaryngology, Erasmus MC University Medical Center, Rotterdam, the Netherlands &Both authors contributed equally *Corresponding author: Gerjo van Osch ([email protected]) Address for correspondence: Erasmus MC, Departments -
Bioinformatics Analysis of Potential Key Genes and Mechanisms in Type 2 Diabetes Mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. 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. Bioinformatics analysis of potential key genes and mechanisms in type 2 diabetes mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. 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 Type 2 diabetes mellitus (T2DM) is etiologically related to metabolic disorder. The aim of our study was to screen out candidate genes of T2DM and to elucidate the underlying molecular mechanisms by bioinformatics methods. Expression profiling by high throughput sequencing data of GSE154126 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between T2DM and normal control were identified. And then, functional enrichment analyses of gene ontology (GO) and REACTOME pathway analysis was performed. Protein–protein interaction (PPI) network and module analyses were performed based on the DEGs. Additionally, potential miRNAs of hub genes were predicted by miRNet database . Transcription factors (TFs) of hub genes were detected by NetworkAnalyst database. Further, validations were performed by receiver operating characteristic curve (ROC) analysis and real-time polymerase chain reaction (RT-PCR). -
Small-Molecule Inhibition of STAT3 in Radioresistant Head and Neck Squamous Cell Carcinoma
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 18 Small-molecule inhibition of STAT3 in radioresistant head and neck squamous cell carcinoma Uddalak Bharadwaj1, T. Kris Eckols1, Xuejun Xu2, Moses M. Kasembeli1, Yunyun Chen3, Makoto Adachi3, Yongcheng Song4, Qianxing Mo5, Stephen Y. Lai3, David J. Tweardy1,6 1 Department of Infectious Disease, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA 2The Key Laboratory of Natural Medicine and Immuno-Engineering, Henan University, Kaifeng, China 3 Department of Head and Neck Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA 4 Department of Pharmacology, Baylor College of Medicine, Houston, Texas, USA 5 Department of Medicine, Division of Biostatistics, Dan L. Duncan Cancer Center, Section of Hematology/Oncology, Baylor College of Medicine, Houston, Texas, USA 6Department of Molecular & Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA Correspondence to: David J. Tweardy, e-mail: [email protected] Keywords: STAT3, HNSCC, C188-9, cancer, small molecule Received: December 14, 2015 Accepted: March 14, 2016 Published: March 25, 2016 ABSTRACT While STAT3 has been validated as a target for treatment of many cancers, including head and neck squamous cell carcinoma (HNSCC), a STAT3 inhibitor is yet to enter the clinic. We used the scaffold of C188, a small-molecule STAT3 inhibitor previously identified by us, in a hit-to-lead program to identify C188-9. C188-9 binds to STAT3 with high affinity and represents a substantial improvement over C188 in its ability to inhibit STAT3 binding to its pY-peptide ligand, to inhibit cytokine-stimulated pSTAT3, to reduce constitutive pSTAT3 activity in multiple HNSCC cell lines, and to inhibit anchorage dependent and independent growth of these cells. -
Supplementary Material Contents
Supplementary Material Contents Immune modulating proteins identified from exosomal samples.....................................................................2 Figure S1: Overlap between exosomal and soluble proteomes.................................................................................... 4 Bacterial strains:..............................................................................................................................................4 Figure S2: Variability between subjects of effects of exosomes on BL21-lux growth.................................................... 5 Figure S3: Early effects of exosomes on growth of BL21 E. coli .................................................................................... 5 Figure S4: Exosomal Lysis............................................................................................................................................ 6 Figure S5: Effect of pH on exosomal action.................................................................................................................. 7 Figure S6: Effect of exosomes on growth of UPEC (pH = 6.5) suspended in exosome-depleted urine supernatant ....... 8 Effective exosomal concentration....................................................................................................................8 Figure S7: Sample constitution for luminometry experiments..................................................................................... 8 Figure S8: Determining effective concentration .........................................................................................................