Proteomic Profiling of the Interface Between the Stomach Wall and The
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Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Β-Catenin Knockdown Affects Mitochondrial Biogenesis and Lipid Metabolism in Breast Cancer Cells
ORIGINAL RESEARCH published: 27 July 2017 doi: 10.3389/fphys.2017.00544 β-Catenin Knockdown Affects Mitochondrial Biogenesis and Lipid Metabolism in Breast Cancer Cells Daniele Vergara 1, 2 †, Eleonora Stanca 1, 2 †, Flora Guerra 1, Paola Priore 3, Antonio Gaballo 3, Julien Franck 4, Pasquale Simeone 5, Marco Trerotola 6, Stefania De Domenico 7, Isabelle Fournier 4, Cecilia Bucci 1, Michel Salzet 4, Anna M. Giudetti 1* and Michele Maffia 1, 2* 1 Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy, 2 Laboratory of Clinical Proteomic, “Giovanni Paolo II” Hospital, Lecce, Italy, 3 CNR NANOTEC - Institute of Nanotechnology, Lecce, Italy, 4 University of Lille, Institut national de la santé et de la recherche médicale, U-1192 - Laboratoire Protéomique, Réponse Edited by: Inflammatoire et Spectrométrie de Masse-PRISM, Lille, France, 5 Unit of Cytomorphology, CeSI-MeT and Department of Andrei Surguchov, Medicine and Aging Sciences, School of Medicine and Health Sciences, University “G. d’Annunzio,” Chieti, Italy, 6 Unit of Kansas University of Medical Center Cancer Pathology, CeSI-MeT and Department of Medical, Oral and Biotechnological Sciences, University “G. d’Annunzio,” Research Institute, United States Chieti, Italy, 7 C.N.R. Unit of Lecce, Institute of Food Production Sciences, Lecce, Italy Reviewed by: Kamal Datta, β-catenin plays an important role as regulatory hub in several cellular processes including Georgetown University, United States Silvana Gaetani, cell adhesion, metabolism, and epithelial mesenchymal transition. This is mainly achieved Sapienza Università di Roma, Italy by its dual role as structural component of cadherin-based adherens junctions, and as Clizia Chinello, University of Milano-Bicocca, Italy a key nuclear effector of the Wnt pathway. -
Cover Petra B
UvA-DARE (Digital Academic Repository) The role of Polycomb group proteins throughout development : f(l)avoring repression van der Stoop, P.M. Link to publication Citation for published version (APA): van der Stoop, P. M. (2009). The role of Polycomb group proteins throughout development : f(l)avoring repression. Amsterdam: Nederlands Kanker Instituut - Antoni Van Leeuwenhoekziekenhuis. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl) Download date: 27 Oct 2019 Chapter 4 Ubiquitin E3 Ligase Ring1b/Rnf2 of Polycomb Repressive Complex 1 Contributes to Stable Maintenance of Mouse Embryonic Stem Cells Petra van der Stoop*, Erwin A. Boutsma*, Danielle Hulsman, Sonja Noback, Mike Heimerikx, Ron M. Kerkhoven, J. Willem Voncken, Lodewyk F.A. Wessels, Maarten van Lohuizen * These authors contributed equally to this work Adapted from: PLoS ONE (2008) 3(5): e2235 Ring1b regulates ES cell fate Ubiquitin E3 Ligase Ring1b/Rnf2 of Polycomb Repressive Complex 1 Contributes to Stable Maintenance of Mouse Embryonic Stem Cells Petra van der Stoop1*, Erwin A. -
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. -
The Biomarkers of Key Mirnas and Target Genes Associated with Acute Myocardial Infarction
The biomarkers of key miRNAs and target genes associated with acute myocardial infarction Qi Wang1, Bingyan Liu2,3, Yuanyong Wang4, Baochen Bai1, Tao Yu3 and Xian–ming Chu1,5 1 Department of Cardiology, The Affiliated hospital of Qingdao University, Qingdao, China 2 School of Basic Medicine, Qingdao University, Qingdao, China 3 Institute for Translational Medicine, Qingdao University, Qingdao, China 4 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China 5 Department of Cardiology, The Affiliated Cardiovascular Hospital of Qingdao University, Qingdao, China ABSTRACT Background. Acute myocardial infarction (AMI) is considered one of the most prominent causes of death from cardiovascular disease worldwide. Knowledge of the molecular mechanisms underlying AMI remains limited. Accurate biomarkers are needed to predict the risk of AMI and would be beneficial for managing the incidence rate. The gold standard for the diagnosis of AMI, the cardiac troponin T (cTnT) assay, requires serial testing, and the timing of measurement with respect to symptoms affects the results. As attractive candidate diagnostic biomarkers in AMI, circulating microRNAs (miRNAs) are easily detectable, generally stable and tissue specific. Methods. The Gene Expression Omnibus (GEO) database was used to compare miRNA expression between AMI and control samples, and the interactions between miRNAs and mRNAs were analysed for expression and function. Furthermore, a protein-protein interaction (PPI) network was constructed. The miRNAs identified in the bioinformatic analysis were verified by RT-qPCR in an H9C2 cell line. The miRNAs in plasma samples from patients with AMI (n D 11) and healthy controls (n D 11) were used to construct Submitted 23 December 2019 receiver operating characteristic (ROC) curves to evaluate the clinical prognostic value Accepted 14 April 2020 of the identified miRNAs. -
Supplementary Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Multiomic Approaches to Uncover the Complexities of Dystrophin-Associated Cardiomyopathy
International Journal of Molecular Sciences Review Multiomic Approaches to Uncover the Complexities of Dystrophin-Associated Cardiomyopathy Aoife Gowran 1,*, Maura Brioschi 2, Davide Rovina 1 , Mattia Chiesa 3,4 , Luca Piacentini 3,* , Sara Mallia 1, Cristina Banfi 2,* , Giulio Pompilio 1,5,6,* and Rosaria Santoro 1,4 1 Unit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy; [email protected] (D.R.); [email protected] (S.M.); [email protected] (R.S.) 2 Unit of Cardiovascular Proteomics, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy; [email protected] 3 Bioinformatics and Artificial Intelligence Facility, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy; [email protected] 4 Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133 Milan, Italy 5 Department of Cardiac Surgery, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy 6 Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy * Correspondence: [email protected] (A.G.); [email protected] (L.P.); cristina.banfi@cardiologicomonzino.it (C.B.); [email protected] (G.P.) Abstract: Despite major progress in treating skeletal muscle disease associated with dystrophinopathies, cardiomyopathy is emerging as a major cause of death in people carrying dystrophin gene mutations that remain without a targeted cure even with new treatment directions and advances in modelling Citation: Gowran, A.; Brioschi, M.; abilities. The reasons for the stunted progress in ameliorating dystrophin-associated cardiomyopathy Rovina, D.; Chiesa, M.; Piacentini, L.; (DAC) can be explained by the difficulties in detecting pathophysiological mechanisms which can also Mallia, S.; Banfi, C.; Pompilio, G.; Santoro, R. -
Identification of the Key Micrornas and Mirna- Mrna Interaction Networks During the Ovarian Development of Hens
Article Identification of the Key microRNAs and miRNA- mRNA Interaction Networks During the Ovarian Development of Hens Jing Li †, Chong Li †, Qi Li, Wen-Ting Li, Hong Li, Guo-Xi Li, Xiang-Tao Kang, Xiao-Jun Liu and Ya-Dong Tian * College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China; [email protected] (J.L.); [email protected] (C.L.); [email protected] (Q.L.); [email protected] (W.-T.L.); [email protected] (H.L.); [email protected] (G.-X.L.); [email protected] (X.-T.K.); [email protected] (X.-J.L.) * Correspondence: [email protected] † These two authors contributed equally to this work. Received: 27 July 2020; Accepted: 15 September 2020; Published: date Supplementary Material Animals 2020, 10, x; doi: www.mdpi.com/journal/animals Animals 2020, 10, x 2 of 24 Table 1. The list of the interaction network, the expression levels and Pearson’s correlation coefficient of DE miRNAs and DE mRNAs. Expression Level ( TPM) Expression Level ( FPKM) sRNA Transcript Id Gene Id Gene Name Correlatio 15W 20W 30W 68W 15W 20W 30W 68W gga-miR-1560-3p 3.253 6.030 4.295 2.565 ENSGALT00000087050 ENSGALG00000005902 RAB7A 17.832 0.031 6.674 0.077 -0.324 gga-miR-143-3p 25118.987 49390.256 87681.664 32277.275 ENSGALT00000069072 ENSGALG00000041760 CLTCL1 2.189 0.000 1.321 1.252 -0.268 gga-miR-7472-5p 0.054 0.264 0.466 0.000 ENSGALT00000066785 ENSGALG00000014582 CADM1 6.810 2.342 0.000 0.000 -0.394 gga-miR-7472-5p 0.054 0.264 0.466 0.000 ENSGALT00000033172 ENSGALG00000008121 CYP17A1 722.987 -
SGCE Rabbit Pab
Leader in Biomolecular Solutions for Life Science SGCE Rabbit pAb Catalog No.: A5330 Basic Information Background Catalog No. This gene encodes the epsilon member of the sarcoglycan family. Sarcoglycans are A5330 transmembrane proteins that are components of the dystrophin-glycoprotein complex, which link the actin cytoskeleton to the extracellular matrix. Unlike other family Observed MW members which are predominantly expressed in striated muscle, the epsilon 55kDa sarcoglycan is more broadly expressed. Mutations in this gene are associated with myoclonus-dystonia syndrome. This gene is imprinted, with preferential expression from Calculated MW the paternal allele. Alternatively spliced transcript variants encoding different isoforms 49kDa/51kDa/52kDa have been found for this gene. A pseudogene associated with this gene is located on chromosome 2. Category Primary antibody Applications WB,IHC,IF Cross-Reactivity Human, Mouse Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 8910 O43556 IHC 1:50 - 1:200 Immunogen 1:50 - 1:200 IF Recombinant fusion protein containing a sequence corresponding to amino acids 1-317 of human SGCE (NP_003910.1). Synonyms SGCE;DYT11;ESG;epsilon-SG Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of various cell lines, using SGCE antibody (A5330) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Detection: ECL Basic Kit (RM00020). -
Supplementary Materials
Supplementary Materials COMPARATIVE ANALYSIS OF THE TRANSCRIPTOME, PROTEOME AND miRNA PROFILE OF KUPFFER CELLS AND MONOCYTES Andrey Elchaninov1,3*, Anastasiya Lokhonina1,3, Maria Nikitina2, Polina Vishnyakova1,3, Andrey Makarov1, Irina Arutyunyan1, Anastasiya Poltavets1, Evgeniya Kananykhina2, Sergey Kovalchuk4, Evgeny Karpulevich5,6, Galina Bolshakova2, Gennady Sukhikh1, Timur Fatkhudinov2,3 1 Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia 2 Laboratory of Growth and Development, Scientific Research Institute of Human Morphology, Moscow, Russia 3 Histology Department, Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia 4 Laboratory of Bioinformatic methods for Combinatorial Chemistry and Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia 5 Information Systems Department, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia 6 Genome Engineering Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia Figure S1. Flow cytometry analysis of unsorted blood sample. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S2. Flow cytometry analysis of unsorted liver stromal cells. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S3. MiRNAs expression analysis in monocytes and Kupffer cells. Full-length of heatmaps are presented.