Retroviral Envelope Gene Captures and Syncytin Exaptation For
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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. -
Receptor-Mediated Mitophagy Accepted21march2016
King’s Research Portal DOI: 10.1016/j.yjmcc.2016.03.010 Document Version Peer reviewed version Link to publication record in King's Research Portal Citation for published version (APA): Yamaguchi, O., Murakawa, T., Nishida, K., & Otsu, K. (2016). Receptor-mediated mitophagy. Journal of Molecular and Cellular Cardiology, 95, 50-56. [95]. https://doi.org/10.1016/j.yjmcc.2016.03.010 Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections. General rights Copyright and moral rights for the publications made accessible in the Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognize and abide by the legal requirements associated with these rights. •Users may download and print one copy of any publication from the Research Portal for the purpose of private study or research. •You may not further distribute the material or use it for any profit-making activity or commercial gain •You may freely distribute the URL identifying the publication in the Research Portal Take down policy If you believe that this document breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int. -
Supplementary Material and Methods
Supplementary material and methods Generation of cultured human epidermal sheets Normal human epidermal keratinocytes were isolated from human breast skin. Keratinocytes were grown on a feeder layer of irradiated human fibroblasts pre-seeded at 4000 cells /cm² in keratinocyte culture medium (KCM) containing a mix of 3:1 DMEM and HAM’s F12 (Invitrogen, Carlsbad, USA), supplemented with 10% FCS, 10ng/ml epidermal growth factor (EGF; R&D systems, Minneapolis, MN, USA), 0.12 IU/ml insulin (Lilly, Saint- Cloud, France), 0.4 mg/ml hydrocortisone (UpJohn, St Quentin en Yvelelines, France) , 5 mg/ml triiodo-L- thyronine (Sigma, St Quentin Fallavier, France), 24.3 mg/ml adenine (Sigma), isoproterenol (Isuprel, Hospira France, Meudon, France) and antibiotics (20 mg/ml gentamicin (Phanpharma, Fougères, France), 100 IU/ml penicillin (Phanpharma), and 1 mg/ml amphotericin B (Phanpharma)). The medium was changed every two days. NHEK were then cultured over a period of 13 days according to the protocol currently used at the Bank of Tissues and Cells for the generation of clinical grade epidermal sheets used for the treatment of severe extended burns (Ref). When needed, cells were harvested with trypsin-EDTA 0.05% (Thermo Fisher Scientific, Waltham, MA, USA) and collected for analysis. Clonogenic assay Keratinocytes were seeded on a feeder layer of irradiated fibroblasts, at a clonal density of 10-20 cells/cm² and cultivated for 10 to 14 days. Three flasks per tested condition were fixed and colored in a single 30 mns step using rhodamine B (Sigma) diluted at 0.01 g/ml in 4% paraformaldehyde. In each tested condition, cells from 3 other flasks were numerated after detachment by trypsin treatment. -
Bioinformatics Analysis for the Identification of Differentially Expressed Genes and Related Signaling Pathways in H
Bioinformatics analysis for the identification of differentially expressed genes and related signaling pathways in H. pylori-CagA transfected gastric cancer cells Dingyu Chen*, Chao Li, Yan Zhao, Jianjiang Zhou, Qinrong Wang and Yuan Xie* Key Laboratory of Endemic and Ethnic Diseases , Ministry of Education, Guizhou Medical University, Guiyang, China * These authors contributed equally to this work. ABSTRACT Aim. Helicobacter pylori cytotoxin-associated protein A (CagA) is an important vir- ulence factor known to induce gastric cancer development. However, the cause and the underlying molecular events of CagA induction remain unclear. Here, we applied integrated bioinformatics to identify the key genes involved in the process of CagA- induced gastric epithelial cell inflammation and can ceration to comprehend the potential molecular mechanisms involved. Materials and Methods. AGS cells were transected with pcDNA3.1 and pcDNA3.1::CagA for 24 h. The transfected cells were subjected to transcriptome sequencing to obtain the expressed genes. Differentially expressed genes (DEG) with adjusted P value < 0.05, | logFC |> 2 were screened, and the R package was applied for gene ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The differential gene protein–protein interaction (PPI) network was constructed using the STRING Cytoscape application, which conducted visual analysis to create the key function networks and identify the key genes. Next, the Submitted 20 August 2020 Kaplan–Meier plotter survival analysis tool was employed to analyze the survival of the Accepted 11 March 2021 key genes derived from the PPI network. Further analysis of the key gene expressions Published 15 April 2021 in gastric cancer and normal tissues were performed based on The Cancer Genome Corresponding author Atlas (TCGA) database and RT-qPCR verification. -
Alterations of the Interactome of Bcl-2 Proteins in Breast Cancer at the Transcriptional, Mutational and Structural Level
RESEARCH ARTICLE Alterations of the interactome of Bcl-2 proteins in breast cancer at the transcriptional, mutational and structural level Simon Mathis Kønig1, Vendela Rissler1, Thilde Terkelsen1, Matteo Lambrughi1, 1,2 Elena PapaleoID * 1 Computational Biology Laboratory, Danish Cancer Society Research Center, Copenhagen, Denmark, a1111111111 2 Translational Disease Systems Biology, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research University of Copenhagen, Copenhagen, Denmark a1111111111 a1111111111 * [email protected] a1111111111 a1111111111 Abstract Apoptosis is an essential defensive mechanism against tumorigenesis. Proteins of the B- OPEN ACCESS cell lymphoma-2 (Bcl-2) family regulate programmed cell death by the mitochondrial apopto- sis pathway. In response to intracellular stress, the apoptotic balance is governed by inter- Citation: Kønig SM, Rissler V, Terkelsen T, Lambrughi M, Papaleo E (2019) Alterations of the actions of three distinct subgroups of proteins; the activator/sensitizer BH3 (Bcl-2 homology interactome of Bcl-2 proteins in breast cancer at 3)-only proteins, the pro-survival, and the pro-apoptotic executioner proteins. Changes in the transcriptional, mutational and structural level. expression levels, stability, and functional impairment of pro-survival proteins can lead to an PLoS Comput Biol 15(12): e1007485. https://doi. imbalance in tissue homeostasis. Their overexpression or hyperactivation can result in org/10.1371/journal.pcbi.1007485 oncogenic effects. Pro-survival Bcl-2 family members carry out their function by binding the Editor: Igor N. Berezovsky, A�STAR Singapore, BH3 short linear motif of pro-apoptotic proteins in a modular way, creating a complex net- SINGAPORE work of protein-protein interactions. Their dysfunction enables cancer cells to evade cell Received: July 8, 2019 death. -
Download From
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.02.279679; this version posted September 2, 2020. 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-NC-ND 4.0 International license. A high-throughput CRISPR interference screen for dissecting functional regulators of GPCR/cAMP signaling Khairunnisa Mentari Semesta1, Ruilin Tian2,3,4, Martin Kampmann2,3, Mark von Zastrow5,6 and Nikoleta G. Tsvetanova1* 1 Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA 2 Insitute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA 3 Chen-Zuckerberg Biohub, San Francisco, CA 94158, USA 4 Biophysics Graduate Program, University of California, San Francisco, CA 94158, USA 5 Department of Psychiatry, University of California, San Francisco, CA 94158, USA 6 Department of Cellular & Molecular Pharmacology, University of California, San Francisco, CA 94158, USA * Correspondence: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.02.279679; this version posted September 2, 2020. 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-NC-ND 4.0 International license. 1 Abstract 2 G protein-coupled receptors (GPCRs) allow cells to respond to chemical and sensory 3 stimuli through generation of second messengers, such as cyclic AMP (cAMP), which in 4 turn mediate a myriad of processes, including cell survival, proliferation, and 5 differentiation. -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo -
Engineered Type 1 Regulatory T Cells Designed for Clinical Use Kill Primary
ARTICLE Acute Myeloid Leukemia Engineered type 1 regulatory T cells designed Ferrata Storti Foundation for clinical use kill primary pediatric acute myeloid leukemia cells Brandon Cieniewicz,1* Molly Javier Uyeda,1,2* Ping (Pauline) Chen,1 Ece Canan Sayitoglu,1 Jeffrey Mao-Hwa Liu,1 Grazia Andolfi,3 Katharine Greenthal,1 Alice Bertaina,1,4 Silvia Gregori,3 Rosa Bacchetta,1,4 Norman James Lacayo,1 Alma-Martina Cepika1,4# and Maria Grazia Roncarolo1,2,4# Haematologica 2021 Volume 106(10):2588-2597 1Department of Pediatrics, Division of Stem Cell Transplantation and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 2Stanford Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 3San Raffaele Telethon Institute for Gene Therapy, Milan, Italy and 4Center for Definitive and Curative Medicine, Stanford School of Medicine, Stanford, CA, USA *BC and MJU contributed equally as co-first authors #AMC and MGR contributed equally as co-senior authors ABSTRACT ype 1 regulatory (Tr1) T cells induced by enforced expression of interleukin-10 (LV-10) are being developed as a novel treatment for Tchemotherapy-resistant myeloid leukemias. In vivo, LV-10 cells do not cause graft-versus-host disease while mediating graft-versus-leukemia effect against adult acute myeloid leukemia (AML). Since pediatric AML (pAML) and adult AML are different on a genetic and epigenetic level, we investigate herein whether LV-10 cells also efficiently kill pAML cells. We show that the majority of primary pAML are killed by LV-10 cells, with different levels of sensitivity to killing. Transcriptionally, pAML sensitive to LV-10 killing expressed a myeloid maturation signature. -
Proteomic Signatures of Brain Regions Affected by Tau Pathology in Early and Late Stages of Alzheimer's Disease
Neurobiology of Disease 130 (2019) 104509 Contents lists available at ScienceDirect Neurobiology of Disease journal homepage: www.elsevier.com/locate/ynbdi Proteomic signatures of brain regions affected by tau pathology in early and T late stages of Alzheimer's disease Clarissa Ferolla Mendonçaa,b, Magdalena Kurasc, Fábio César Sousa Nogueiraa,d, Indira Plác, Tibor Hortobágyie,f,g, László Csibae,h, Miklós Palkovitsi, Éva Renneri, Péter Dömej,k, ⁎ ⁎ György Marko-Vargac, Gilberto B. Domonta, , Melinda Rezelic, a Proteomics Unit, Department of Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil b Gladstone Institute of Neurological Disease, San Francisco, USA c Division of Clinical Protein Science & Imaging, Department of Clinical Sciences (Lund) and Department of Biomedical Engineering, Lund University, Lund, Sweden d Laboratory of Proteomics, LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil e MTA-DE Cerebrovascular and Neurodegenerative Research Group, University of Debrecen, Debrecen, Hungary f Institute of Pathology, Faculty of Medicine, University of Szeged, Szeged, Hungary g Centre for Age-Related Medicine, SESAM, Stavanger University Hospital, Stavanger, Norway h Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary i SE-NAP – Human Brain Tissue Bank Microdissection Laboratory, Semmelweis University, Budapest, Hungary j Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary k National Institute of Psychiatry and Addictions, Nyírő Gyula Hospital, Budapest, Hungary ARTICLE INFO ABSTRACT Keywords: Background: Alzheimer's disease (AD) is the most common neurodegenerative disorder. Depositions of amyloid β Alzheimer's disease peptide (Aβ) and tau protein are among the major pathological hallmarks of AD. Aβ and tau burden follows Proteomics predictable spatial patterns during the progression of AD. -
Characterized by Array CGH in a Boy with Cat-Eye Syndrome Irén Haltrich1*, Henriett Pikó2, Eszter Kiss1, Zsuzsa Tóth1, Veronika Karcagi2 and György Fekete1
Haltrich et al. Molecular Cytogenetics 2014, 7:37 http://www.molecularcytogenetics.org/content/7/1/37 CASE REPORT Open Access A de novo atypical ring sSMC(22) characterized by array CGH in a boy with cat-eye syndrome Irén Haltrich1*, Henriett Pikó2, Eszter Kiss1, Zsuzsa Tóth1, Veronika Karcagi2 and György Fekete1 Abstract Background: Microduplications 22q11 have been characterized as a genomic duplication syndrome mediated by nonallelic homologous recombination between region-specific low-copy repeats. Here we report on a 19 years old boy with intellectual disability having an unexpected structurally complex ring small supernumerary marker chromosome (sSMC) originated from a larger trisomy and a smaller tetrasomy of proximal 22q11 harboring additional copies of cat eye syndrome critical regions genes. Results: Principal clinical features were: anorectal and urogenital malformations, total anomalous pulmonary venous return with secundum ASD, hearing defect, preauricular pits, seizure and eczema. The proband also presented some rare or so far not reported clinical findings such as hyperinsulinaemia, severe immunodeficiency and grave cognitive deficits. Chromosome analysis revealed a mosaic karyotype with the presence of a small ring-like marker in 60% of cells. Array CGH detected approximately an 1,2 Mb single and a 0,2 Mb double copy gain of the proximal long arm of chromosome 22. The 1,3 Mb intervening region of chromosome 22 from centromere to the breakpoints showed no copy alteration. The karyotype of the patient was defined as 47,XY,+mar[60]/46,XY[40].ish idic r(22)(q11.1.q11.21) × 4.arr 22q11(17,435, 645-18,656,678) × 3,(17,598,642-17,799,783) × 4 dn.