Comparative Proteomic Analysis Identifies Epha2 As a Specific Cell
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PAPC Couples the Segmentation Clock to Somite Morphogenesis by Regulating N-Cadherin-Dependent Adhesion
© 2017. Published by The Company of Biologists Ltd | Development (2017) 144, 664-676 doi:10.1242/dev.143974 RESEARCH ARTICLE PAPC couples the segmentation clock to somite morphogenesis by regulating N-cadherin-dependent adhesion Jérome Chal1,2,3,4,5,*, Charlenè Guillot3,4,* and Olivier Pourquié1,2,3,4,5,6,7,‡ ABSTRACT specific level of the PSM called the determination front. The Vertebrate segmentation is characterized by the periodic formation of determination front is defined as a signaling threshold epithelial somites from the mesenchymal presomitic mesoderm implemented by posterior gradients of Wnt and FGF (Aulehla (PSM). How the rhythmic signaling pulse delivered by the et al., 2003; Diez del Corral and Storey, 2004; Dubrulle et al., segmentation clock is translated into the periodic morphogenesis of 2001; Hubaud and Pourquie, 2014; Sawada et al., 2001). Cells of somites remains poorly understood. Here, we focused on the role of the posterior PSM exhibit mesenchymal characteristics and paraxial protocadherin (PAPC/Pcdh8) in this process. We showed express Snail-related transcription factors (Dale et al., 2006; that in chicken and mouse embryos, PAPC expression is tightly Nieto, 2002). In the anterior PSM, cells downregulate snail/slug regulated by the clock and wavefront system in the posterior PSM. We expression and upregulate epithelialization-promoting factors such observed that PAPC exhibits a striking complementary pattern to N- as paraxis (Barnes et al., 1997; Sosic et al., 1997). This molecular cadherin (CDH2), marking the interface of the future somite boundary transition correlates with the anterior PSM cells progressively in the anterior PSM. Gain and loss of function of PAPC in chicken acquiring epithelial characteristics (Duband et al., 1987; Martins embryos disrupted somite segmentation by altering the CDH2- et al., 2009). -
Kinetic Properties of Collagen Receptors on Human Keratinocytes 2337
Journal of Cell Science 112, 2335-2345 (1999) 2335 Printed in Great Britain © The Company of Biologists Limited 1999 JCS9937 Integrin α and β subunit contribution to the kinetic properties of α2β1 collagen receptors on human keratinocytes analyzed under hydrodynamic conditions Bénédicte Masson-Gadais, Anne Pierres, Anne-Marie Benoliel, Pierre Bongrand* and Jean-Claude Lissitzky Laboratoire d’Immunologie, INSERM U 387, Hôpital de Sainte-Marguerite, BP 29, 13274 Marseille Cedex 09, France *Author for correspondence (e-mail: [email protected]) Accepted 10 May; published on WWW 24 June 1999 SUMMARY The adhesion of keratinocytes to type I collagen or with ligand recognition and also with the ligand-β1 chain laminin 5 was studied in a laminar flow chamber. These interactions responsible for bond stabilization. The latter experiments provided an insight into the binding kinetics hypothesis was supported by the finding that the partial of integrins in their natural environment and the effects of alteration of α2 chain function by inhibiting antibodies was monoclonal antibodies specific for α and β chains. Cells corrected by anti-β1 chain antibody TS2/16. These results driven by a force too low to alter the natural lifetime of a could not be ascribed to allosteric changes of the functional single bond displayed multiple arrests. Studying the region of β1 integrin subunits regulated by TS2/16 since frequency and duration of these arrests yielded fairly direct there was no competition between the binding of TS2/16 information on the rate of bond formation (on-rate) and and anti-α2 chain antibodies. dissociation (off-rate). Off-rate values obtained on collagen Interpreted within the framework of current concepts of or laminin 5 (0.06 seconds−1) were tenfold lower than values integrin-ligand binding topology, these data suggest that determined on selectins. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Mitochondrial Quality Control in Neurodegenerative Diseases: Focus on Parkinson’S Disease and Huntington’S Disease
ADVERTIMENT. Lʼaccés als continguts dʼaquesta tesi queda condicionat a lʼacceptació de les condicions dʼús establertes per la següent llicència Creative Commons: http://cat.creativecommons.org/?page_id=184 ADVERTENCIA. El acceso a los contenidos de esta tesis queda condicionado a la aceptación de las condiciones de uso establecidas por la siguiente licencia Creative Commons: http://es.creativecommons.org/blog/licencias/ WARNING. The access to the contents of this doctoral thesis it is limited to the acceptance of the use conditions set by the following Creative Commons license: https://creativecommons.org/licenses/?lang=en Mitochondrial quality control in neurodegenerative diseases: focus on Parkinson’s disease and Huntington’s disease TESI DOCTORAL 2018 Programa de Doctorat en Neurociències Institut de Neurociències Tesi realitzada al laboratori de Malalties Neurodegeenratives de l’Institut de Recerca de la Vall d’Hebron (VHIR) Doctorand Director Tutor Sandra Franco Iborra Miquel Vila Bover José Rodríguez Álvarez Co-directora Co-directora Celine Perier Marta Martínez Vicente i AGRAÏMENTS En primer lloc vull agraïr al Miquel Vila per l’oportunitat que em va donar de començar a fer la tesi doctoral al seu lab. Gràcies per tenir sempre la porta oberta del teu despatx, per la confiança dipositada en mi i per tot el que m’has ensenyat durant tots aquests anys. A més, he tingut la sort de tenir no només un director de tesis sinó tres! Celine muchas gracias por estar siempre ahí, por ensenyarme tu manera de hacer ciencia (que me encanta!) y por ser siempre tan positiva. En mi manera de trabajar hay un poquito de ti y espero ir pasando este conocimiento a los demás porque en todo laboratorio debería ser obligatorio que hubiera alguien como tu. -
SUPPLEMENTARY TABLES and FIGURE LEGENDS Supplementary
SUPPLEMENTARY TABLES AND FIGURE LEGENDS Supplementary Figure 1. Quantitation of MYC levels in vivo and in vitro. a) MYC levels in cell lines 6814, 6816, 5720, 966, and 6780 (corresponding to first half of Figure 1a in main text). MYC is normalized to tubulin. b) MYC quantitations (normalized to tubulin) for cell lines Daudi, Raji, Jujoye, KRA, KRB, GM, and 6780 corresponding to second half of Figure 1a. c) In vivo MYC quantitations, for mice treated with 0-0.5 ug/ml doxycycline in their drinking water. MYC is normalized to tubulin. d) Quantitation of changing MYC levels during in vitro titration, normalized to tubulin. e) Levels of Odc (normalized to tubulin) follow MYC levels in titration series. Supplementary Figure 2. Evaluation of doxycycline concentration in the plasma of mice treated with doxycycline in their drinking water. Luciferase expressing CHO cells (Tet- off) (Clonethech Inc) that is responsive to doxycycline by turning off luciferase expression was treated with different concentrations of doxycycline in culture. A standard curve (blue line) correlating luciferase activity (y-axis) with treatment of doxycycline (x- axis) was generated for the CHO cell in culture. Plasma from mice treated with different concentrations of doxycycline in their drinking water was separated and added to the media of the CHO cells. Luciferase activity was measured and plotted on the standard curve (see legend box). The actual concentration of doxycycline in the plasma was extrapolated for the luciferase activity measured. The doxycycline concentration 0.2 ng/ml measured in the plasma of mice correlates with 0.05 μg/ml doxycycline treatment in the drinking water of mice, the in vivo threshold for tumor regression. -
Predicting Coupling Probabilities of G-Protein Coupled Receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J
Published online 30 May 2019 Nucleic Acids Research, 2019, Vol. 47, Web Server issue W395–W401 doi: 10.1093/nar/gkz392 PRECOG: PREdicting COupling probabilities of G-protein coupled receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J. Silvio Gutkind4, Robert B. Russell1,2,* and Francesco Raimondi1,2,* 1CellNetworks, Bioquant, Heidelberg University, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany, 2Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany, 3Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi 980-8578, Japan and 4Department of Pharmacology and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA Received February 10, 2019; Revised April 13, 2019; Editorial Decision April 24, 2019; Accepted May 01, 2019 ABSTRACT great use in tinkering with signalling pathways in living sys- tems (5). G-protein coupled receptors (GPCRs) control multi- Ligand binding to GPCRs induces conformational ple physiological states by transducing a multitude changes that lead to binding and activation of G-proteins of extracellular stimuli into the cell via coupling to situated on the inner cell membrane. Most of mammalian intra-cellular heterotrimeric G-proteins. Deciphering GPCRs couple with more than one G-protein giving each which G-proteins couple to each of the hundreds receptor a distinct coupling profile (6) and thus specific of GPCRs present in a typical eukaryotic organism downstream cellular responses. Determining these coupling is therefore critical to understand signalling. Here, profiles is critical to understand GPCR biology and phar- we present PRECOG (precog.russelllab.org): a web- macology. Despite decades of research and hundreds of ob- server for predicting GPCR coupling, which allows served interactions, coupling information is still missing for users to: (i) predict coupling probabilities for GPCRs many receptors and sequence determinants of coupling- specificity are still largely unknown. -
Genomic Aberrations Associated with Erlotinib Resistance in Non-Small Cell Lung Cancer Cells
ANTICANCER RESEARCH 33: 5223-5234 (2013) Genomic Aberrations Associated with Erlotinib Resistance in Non-small Cell Lung Cancer Cells MASAKUNI SERIZAWA1, TOSHIAKI TAKAHASHI2, NOBUYUKI YAMAMOTO2,3 and YASUHIRO KOH1 1Drug Discovery and Development Division, Shizuoka Cancer Center Research Institute, Sunto-gun, Shizuoka, Japan; 2Division of Thoracic Oncology, Shizuoka Cancer Center Hospital, Sunto-gun, Shizuoka, Japan; 3Third Department of Internal Medicine, Wakayama Medical University, Kimiidera, Wakayama, Japan Abstract. Background/Aim: Mechanisms of resistance to mutations develop resistance, usually within one year of epidermal growth factor receptor (EGFR)-tyrosine kinase treatment. Therefore, there is an urgent need to elucidate the inhibitors (TKIs) in non-small cell lung cancer (NSCLC) underlying mechanisms of resistance in such tumors to are not fully-understood. In this study we aimed to overcome this obstacle (11-14, 17, 24). Recent studies elucidate remaining unknown mechanisms using erlotinib- suggest that mechanisms of acquired resistance to EGFR- resistant NSCLC cells. Materials and Methods: We TKIs can be categorized into three groups: occurrence of performed array comparative genomic hybridization genetic alterations, activation of downstream pathways via (aCGH) to identify genomic aberrations associated with bypass signaling, and phenotypic transformation (15, 16, 21); EGFR-TKI resistance in erlotinib-resistant PC-9ER cells. therapeutic strategies to overcome these resistance Real-time polymerase chain reaction (PCR) and mechanisms are under development. However, although the immunoblot analyses were performed to confirm the results causes of acquired resistance to EGFR-TKIs have been of aCGH. Results: Among the five regions with copy investigated, in more than 30% of patients with acquired number gain detected in PC-9ER cells, we focused on resistance to EGFR-TKI treatment, the mechanisms remain 22q11.2-q12.1 including v-crk avian sarcoma virus CT10 unknown (15). -
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, -
Integrin Alpha 2 Antibody
Product Datasheet Integrin alpha 2 Antibody Catalog No: #49071 Package Size: #49071-1 50ul #49071-2 100ul Orders: [email protected] Support: [email protected] Description Product Name Integrin alpha 2 Antibody Host Species Rabbit Clonality Monoclonal Clone No. SN0752 Purification ProA affinity purified Applications WB, ICC/IF, IHC, IP, FC Species Reactivity Hu, Ms, Rt Immunogen Description recombinant protein Other Names BR antibody CD 49b antibody CD49 antigen like family member B antibody CD49 antigen-like family member B antibody CD49b antibody CD49b antigen antibody Collagen receptor antibody DX5 antibody Glycoprotein Ia deficiency included antibody GP Ia antibody GP Ia deficiency, included antibody GPIa antibody HPA 5 included antibody HPA5 included antibody Human platelet alloantigen system 5 antibody Integrin alpha 2 antibody Integrin alpha-2 antibody Integrin, alpha 2 (CD49B alpha 2 subunit of VLA 2 receptor) antibody ITA2_HUMAN antibody ITGA2 antibody Platelet alloantigen Br(a), included antibody Platelet antigen Br antibody Platelet glycoprotein GPIa antibody Platelet glycoprotein Ia antibody Platelet glycoprotein Ia/IIa antibody Platelet membrane glycoprotein Ia antibody Platelet receptor for collagen, deficiency of, included antibody Very late activation protein 2 receptor alpha 2 subunit antibody VLA 2 alpha chain antibody VLA 2 antibody VLA 2 subunit alpha antibody VLA-2 subunit alpha antibody VLA2 antibody VLA2 receptor alpha 2 subunit antibody VLAA2 antibody Accession No. Swiss-Prot#:P17301 Calculated MW 150 kDa Formulation 1*TBS (pH7.4), 1%BSA, 40%Glycerol. Preservative: 0.05% Sodium Azide. Storage Store at -20°C Application Details WB: 1:1,000-5,000 IHC: 1:50-1:200 ICC: 1:100-1:500 FC: 1:50-1:100 Images Address: 8400 Baltimore Ave., Suite 302, College Park, MD 20740, USA http://www.sabbiotech.com 1 Western blot analysis of ITGA2 on A431 cells lysates using anti-ITGA2 antibody at 1/1,000 dilution. -
AP1B1 Rabbit Polyclonal Antibody – TA323221 | Origene
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TA323221 AP1B1 Rabbit Polyclonal Antibody Product data: Product Type: Primary Antibodies Applications: IHC Recommended Dilution: ELISA: 1:1000-5000, IHC: 1:25-100 Reactivity: Human, Mouse, Rat Host: Rabbit Isotype: IgG Clonality: Polyclonal Immunogen: Synthetic peptide corresponding to a region derived from 18-30 amino acids of Human Adapter-related protein complex 1 subunit beta-1 Formulation: PBS pH7.3, 0.05% NaN3, 50% glycerol Concentration: lot specific Purification: Antigen affinity purification Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Gene Name: adaptor related protein complex 1 beta 1 subunit Database Link: NP_001118 Entrez Gene 11764 MouseEntrez Gene 29663 RatEntrez Gene 162 Human Q10567 Background: Adaptor protein complex 1 is found at the cytoplasmic face of coated vesicles located at the Golgi complex; where it mediates both the recruitment of clathrin to the membrane and the recognition of sorting signals within the cytosolic tails of transmembrane receptors. This complex is a heterotetramer composed of two large; one medium; and one small adaptin subunit. The protein encoded by this gene serves as one of the large subunits of this complex and is a member of the adaptin protein family. This gene is a candidate meningioma gene. Alternative splicing results in multiple transcript variants. Synonyms: ADTB1; AP105A; BAM22; CLAPB2 Protein Pathways: Lysosome This product is to be used for laboratory only. -
Profilin-1 Is Required for Survival of Adult Hematopoietic Stem Cells
Extended methods Immunohistochemistry HepG-2, SMMC-7721, and 293T cells were obtained from Cell Resource Center of Shanghai Institute for Biological Science, Chinese Academy Science, Shanghai, China. HUVEC cells were kindly provided by Prof. Ping-Jin Gao at Institute of Health Sciences (Shanghai, China). All these cell lines were cultured in DMEM with 10% FBS. MDA- MB-231 cell line was kindly provided by Prof. Ming-Yao Liu (East China Normal University, Shanghai, China) and was cultured in Leibovitz L-15 medium with 10% FBS. All these cell lines were originally purchased from ATCC. MDA-MB-231, SMMC-7721 or HepG2 cells were grown on coverslips in 24-well plates and fixed in either 4% paraformaldehyde or pre-chilled methanol (-20°C) for 10 min. In some cases, WT or VPS33B-null Lin-Sca-1+c-Kit+Flk2-CD34- LT-HSCs were collected by flow cytometry and fixed for immunofluorescence staining. Cells were then blocked with 3% BSA in PBS for 60 min followed by incubation with primary antibodies overnight. The antibodies used were anti-HA (Sigma), anti-Flag (Sigma), anti-VPS33B (Sigma), anti- VPS16B (Abcam), anti-GDI2 (Proteintech), anti-LAMP1 (Proteintech), anti-FLOT1 (Abways), anti-CD63 (Proteintech), anti-ANGPTL2 (R&D system), anti-ANGPTL3 (R&D system), anti-TPO (Abways), anti-GLUT1 (Proteintech), anti-LDHA (Proteintech), anti-PKM2 (CST), anti-RAB11A (Abways), anti-RAB27A (Abways) and anti-V5 (Biodragon). Fluorescent-conjugated secondary antibodies (Alexa Fluor® 488 or Alexa Fluor® 555) against mouse, rabbit, or goat were obtained from the Thermo Scientific Inc. The details for all the antibodies are listed in Table S3.