A Loss-Of-Function Genetic Screening Identifies Novel Mediators of Thyroid Cancer Cell Viability
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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. -
Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Tumour-Agnostic Therapy for Pancreatic Cancer and Biliary Tract Cancer
diagnostics Review Tumour-Agnostic Therapy for Pancreatic Cancer and Biliary Tract Cancer Shunsuke Kato Department of Clinical Oncology, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-ku, Tokyo 113-8421, Japan; [email protected]; Tel.: +81-3-5802-1543 Abstract: The prognosis of patients with solid tumours has remarkably improved with the develop- ment of molecular-targeted drugs and immune checkpoint inhibitors. However, the improvements in the prognosis of pancreatic cancer and biliary tract cancer is delayed compared to other carcinomas, and the 5-year survival rates of distal-stage disease are approximately 10 and 20%, respectively. How- ever, a comprehensive analysis of tumour cells using The Cancer Genome Atlas (TCGA) project has led to the identification of various driver mutations. Evidently, few mutations exist across organs, and basket trials targeting driver mutations regardless of the primary organ are being actively conducted. Such basket trials not only focus on the gate keeper-type oncogene mutations, such as HER2 and BRAF, but also focus on the caretaker-type tumour suppressor genes, such as BRCA1/2, mismatch repair-related genes, which cause hereditary cancer syndrome. As oncogene panel testing is a vital approach in routine practice, clinicians should devise a strategy for improved understanding of the cancer genome. Here, the gene mutation profiles of pancreatic cancer and biliary tract cancer have been outlined and the current status of tumour-agnostic therapy in these cancers has been reported. Keywords: pancreatic cancer; biliary tract cancer; targeted therapy; solid tumours; driver mutations; agonist therapy Citation: Kato, S. Tumour-Agnostic Therapy for Pancreatic Cancer and 1. -
Screening for Copy Number Variation in Genes Associated with the Long QT Syndrome Clinical Relevance
Journal of the American College of Cardiology Vol. 57, No. 1, 2011 © 2011 by the American College of Cardiology Foundation ISSN 0735-1097/$36.00 Published by Elsevier Inc. doi:10.1016/j.jacc.2010.08.621 Heart Rhythm Disorders Screening for Copy Number Variation in Genes Associated With the Long QT Syndrome Clinical Relevance Julien Barc, PHD,*‡§ François Briec, MD,*†‡§ Sébastien Schmitt, MD,ʈ Florence Kyndt, PharmD, PHD,*‡§ʈ Martine Le Cunff, BS,*‡§ Estelle Baron, BS,*‡§ Claude Vieyres, MD,¶ Frédéric Sacher, MD,# Richard Redon, PHD,*‡§ Cédric Le Caignec, MD, PHD,*‡§ʈ Hervé Le Marec, MD, PHD,*†‡§ Vincent Probst, MD, PHD,*†‡§ Jean-Jacques Schott, PHD*†‡§ Nantes, Angoulême, and Bordeaux, France Objectives The aim of this study was to investigate, in a set of 93 mutation-negative long QT syndrome (LQTS) probands, the frequency of copy number variants (CNVs) in LQTS genes. Background LQTS is an inherited cardiac arrhythmia characterized by a prolonged heart rate–corrected QT (QTc) interval as- sociated with sudden cardiac death. Recent studies suggested the involvement of duplications or deletions in the occurrence of LQTS. However, their frequency remains unknown in LQTS patients. Methods Point mutations in KCNQ1, KCNH2, and SCN5A genes were excluded by denaturing high-performance liquid chromatography or direct sequencing. We applied Multiplex Ligation-dependent Probe Amplification (MLPA) to detect CNVs in exons of these 3 genes. Abnormal exon copy numbers were confirmed by quantitative multiplex PCR of short fluorescent fragment (QMPSF). Array-based comparative genomic hybridization (array CGH) analysis was performed using Agilent Human Genome 244K Microarrays to further map the genomic rearrangements. -
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. -
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. -
Transcriptomic Analysis of Native Versus Cultured Human and Mouse Dorsal Root Ganglia Focused on Pharmacological Targets Short
bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Transcriptomic analysis of native versus cultured human and mouse dorsal root ganglia focused on pharmacological targets Short title: Comparative transcriptomics of acutely dissected versus cultured DRGs Andi Wangzhou1, Lisa A. McIlvried2, Candler Paige1, Paulino Barragan-Iglesias1, Carolyn A. Guzman1, Gregory Dussor1, Pradipta R. Ray1,#, Robert W. Gereau IV2, # and Theodore J. Price1, # 1The University of Texas at Dallas, School of Behavioral and Brain Sciences and Center for Advanced Pain Studies, 800 W Campbell Rd. Richardson, TX, 75080, USA 2Washington University Pain Center and Department of Anesthesiology, Washington University School of Medicine # corresponding authors [email protected], [email protected] and [email protected] Funding: NIH grants T32DA007261 (LM); NS065926 and NS102161 (TJP); NS106953 and NS042595 (RWG). The authors declare no conflicts of interest Author Contributions Conceived of the Project: PRR, RWG IV and TJP Performed Experiments: AW, LAM, CP, PB-I Supervised Experiments: GD, RWG IV, TJP Analyzed Data: AW, LAM, CP, CAG, PRR Supervised Bioinformatics Analysis: PRR Drew Figures: AW, PRR Wrote and Edited Manuscript: AW, LAM, CP, GD, PRR, RWG IV, TJP All authors approved the final version of the manuscript. 1 bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Active Recombinant MAPKAPK3
RESEARCH USE ONLY Active Recombinant MAPKAPK3 CATALOG NO.: JM-7755-5 AMOUNT: 5 μg BACKGROUND: MAPKAPK3 has a single potential SH3-binding site in the proline-rich N terminus, a putative ATP- binding site, 2 MAP kinase phosphorylation site motifs, and a putative nuclear localization signal. It shares 72% nucleotide and 75% amino acid identity with MAPKAPK2 (1). MAPKAPK3 was shown to be activated by growth inducers and stress stimulation of cells. In vitro studies demonstrated that ERK, p38 MAP kinase and Jun N-terminal kinase were all able to phosphorylate and activate this kinase, which suggested the role of this kinase as an integrative element of signaling in both mitogen and stress responses (2). This kinase was reported to interact with, phosphorylate and repress the activity of E47, which is a basic helix-loop-helix transcription factor known to be involved in the regulation of tissue-specific gene expression and cell differentiation (3). MAPKAPK3 is uniquely poised to support luteal maturation through the phosphorylation and activation of the nuclear transcription factor CREB (4). DESCRIPTION: Recombinant full length human MAPKAPK3 containing N-terminal GST tag was expressed by baculovirus in Sf 9 insect cells. The gene accession number is NM_004635. PURITY: 1.5 μg of MAPKAPK3 protein was subjected to SDS-PAGE and Coomassie blue staining. The scan of the blue gel showed >90% purity of the MAPKAPK3 protein product, and the band was at ~69 kDa (Fig. 2). FORMULATION: Recombinant proteins in storage buffer (50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 0.25 mM DTT, 0.1 mM EGTA, 0.1 mM EDTA, 0.1 mM PMSF, 25% glycerol). -
Pancancer Progression Human Vjune2017
Gene Symbol Accession Alias/Prev Symbol Official Full Name AAMP NM_001087.3 - angio-associated, migratory cell protein ABI3BP NM_015429.3 NESHBP|TARSH ABI family, member 3 (NESH) binding protein ACHE NM_000665.3 ACEE|ARACHE|N-ACHE|YT acetylcholinesterase ACTG2 NM_001615.3 ACT|ACTA3|ACTE|ACTL3|ACTSG actin, gamma 2, smooth muscle, enteric ACVR1 NM_001105.2 ACTRI|ACVR1A|ACVRLK2|ALK2|FOP|SKR1|TSRI activin A receptor, type I ACVR1C NM_145259.2 ACVRLK7|ALK7 activin A receptor, type IC ACVRL1 NM_000020.1 ACVRLK1|ALK-1|ALK1|HHT|HHT2|ORW2|SKR3|TSR-I activin A receptor type II-like 1 ADAM15 NM_207195.1 MDC15 ADAM metallopeptidase domain 15 ADAM17 NM_003183.4 ADAM18|CD156B|CSVP|NISBD|TACE ADAM metallopeptidase domain 17 ADAM28 NM_014265.4 ADAM 28|ADAM23|MDC-L|MDC-Lm|MDC-Ls|MDCL|eMDC II|eMDCII ADAM metallopeptidase domain 28 ADAM8 NM_001109.4 CD156|MS2 ADAM metallopeptidase domain 8 ADAM9 NM_001005845.1 CORD9|MCMP|MDC9|Mltng ADAM metallopeptidase domain 9 ADAMTS1 NM_006988.3 C3-C5|METH1 ADAM metallopeptidase with thrombospondin type 1 motif, 1 ADAMTS12 NM_030955.2 PRO4389 ADAM metallopeptidase with thrombospondin type 1 motif, 12 ADAMTS8 NM_007037.4 ADAM-TS8|METH2 ADAM metallopeptidase with thrombospondin type 1 motif, 8 ADAP1 NM_006869.2 CENTA1|GCS1L|p42IP4 ArfGAP with dual PH domains 1 ADD1 NM_001119.4 ADDA adducin 1 (alpha) ADM2 NM_001253845.1 AM2|dJ579N16.4 adrenomedullin 2 ADRA2B NM_000682.4 ADRA2L1|ADRA2RL1|ADRARL1|ALPHA2BAR|alpha-2BAR adrenoceptor alpha 2B AEBP1 NM_001129.3 ACLP AE binding protein 1 AGGF1 NM_018046.3 GPATC7|GPATCH7|HSU84971|HUS84971|VG5Q -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses 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, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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 The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Autophagy Processes Are Dependent on EGF Receptor Signaling
www.oncotarget.com Oncotarget, 2018, Vol. 9, (No. 54), pp: 30289-30303 Research Paper Autophagy processes are dependent on EGF receptor signaling Vincenzo De Iuliis1, Antonio Marino1, Marika Caruso1, Sabrina Capodifoglio1, Vincenzo Flati2, Anna Marynuk3, Valeria Marricareda3, Sebastiano Ursi1, Paola Lanuti4, Claudio Talora5, Pio Conti6, Stefano Martinotti1,7 and Elena Toniato7 1Unit of Predictive Medicine, SS Annunziata University Hospital of Chieti, Chieti, Italy 2Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy 3Odessa National Medical University, Odesa, Odessa Oblsat, Ucraina 4Department of Medicine and Aging Sciences, University G. d’Annunzio of Chieti, Chieti, Italy 5Department of Molecular Medicine, University of Rome “La Sapienza”, Rome, Italy 6Postgraduate Medical School, University of Chieti, Chieti, Italy 7Department of Medical, Oral and Biotechnological Sciences, University G. d’Annunzio of Chieti, Chieti, Italy Correspondence to: Elena Toniato, email: [email protected] Keywords: apoptosis; autophagy; Beclin 1; EGF receptor; MAPK pathway Received: May 03, 2018 Accepted: June 13, 2018 Published: July 13, 2018 Copyright: De Iuliis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Autophagy is a not well-understood conserved mechanism activated during nutritional deprivation in order to maintain cellular homeostasis. In the present study, we investigated the correlations between autophagy, apoptosis and the MAPK pathways in melanoma cell lines. We demonstrated that during starvation the EGF receptor mediated signaling activates many proteins involved in the MAPK pathway. -
Comprehensive Assessment of the Association of WNK4
OPEN Comprehensive Assessment of the SUBJECT AREAS: Association of WNK4 Polymorphisms GENETICS RESEARCH RENOVASCULAR HYPERTENSION with Hypertension: Evidence from a EPIDEMIOLOGY Meta-Analysis Received Xiao-gang Guo1, Jie Ding1, Hui Xu1,2, Tian-ming Xuan1, Wei-quan Jin1, Xiang Yin1, Yun-peng Shang1, 22 April 2014 Fu-rong Zhang1, Jian-hua Zhu1 & Liang-rong Zheng1 Accepted 15 September 2014 1Department of Cardiology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China, Published 2Xiuzhou District, Gaozhao Street Community Health Service Center, Jiaxing 314031, China. 30 September 2014 The relationship between with-no-lysine [K] kinase 4 (WNK4) gene polymorphisms and hypertension has been widely investigated, However, the studies yielded contradictory results. To evaluate these inconclusive Correspondence and findings comprehensively, we therefore performed a meta-analysis. Ten articles encompassing 16 requests for materials independent case-control studies with 6089 hypertensive cases and 4881 normotensive controls were should be addressed to selected for this meta-analysis. Four WNK4 gene polymorphisms were identified (G1155942T, G1156666A, X.-G.G. (gxg22222@ T1155547C, and C6749T). The results showed statistically significant associations of G1155942T polymorphism (allelic genetic model: odds ration or OR51.62, 95% confidence interval or CI: 1.11–2.38, zju.edu.cn) P50.01; dominant model: OR51.85, 95% CI: 1.07–3.19, P50.03) and C6749T polymorphism (allele contrast: OR52.04, 95% CI: 1.60–2.59, P,0.01; dominant model: OR52.04, 95%CI: 1.59–2.62, P,0.01; and homozygous model: OR55.01, 95% CI: 1.29–19.54, P50.02) with hypertension risk. However, neither C1155547T nor G1156666A was associated significantly with hypertension susceptibility.