Genome-Wide Profiling Identifies Epithelial Cell Genes Associated with Asthma and with Treatment Response to Corticosteroids
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Tumor Elastography and Its Association with Cell-Free Tumor DNA in the Plasma of Breast Tumor Patients: a Pilot Study
3534 Original Article Tumor elastography and its association with cell-free tumor DNA in the plasma of breast tumor patients: a pilot study Yi Hao1#, Wei Yang2#, Wenyi Zheng2,3#, Xiaona Chen3,4, Hui Wang1,5, Liang Zhao1,5, Jinfeng Xu6,7, Xia Guo4 1Department of Ultrasound, South China Hospital of Shenzhen University, Shenzhen, China; 2Department of Ultrasound, Shenzhen Hospital, Southern Medical University, Shenzhen, China; 3The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China; 4Shenzhen Key Laboratory of Viral Oncology, Center for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen, China; 5Department of Ultrasound, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China; 6Department of Ultrasound, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, Shenzhen, China; 7The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China #These authors contributed equally to this work. Correspondence to: Xia Guo. Shenzhen Key Laboratory of Viral Oncology, Center for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen 518000, China. Email: [email protected]; Jinfeng Xu. Department of Ultrasound, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, Shenzhen 518020, China; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China. Email: [email protected]. Background: Breast tumor stiffness, which can be objectively and noninvasively evaluated by ultrasound elastography (UE), has been useful for the differentiation of benign and malignant breast lesions and the prediction of clinical outcomes. Liquid biopsy analyses, including cell-free tumor DNA (ctDNA), exhibit great potential for personalized treatment. This study aimed to investigate the correlations between the UE and ctDNA for early breast cancer diagnosis. -
Computational Analysis of DNA Methylation and Gene Expression Patterns in Prostate Cancer
Ieva Rauluševičiūtė Computational Analysis of DNA Methylation and Gene Expression Patterns in Prostate Cancer Master’s thesis in Molecular Medicine Trondheim, June 2018 Supervisors: dr. Morten Beck Rye and prof. Finn Drabløs Norwegian University of Science and Technology Faculty of Medicine and Health Sciences Department of Clinical and Molecular Medicine ABSTRACT DNA methylation is an important contributor for prostate cancer development and progression. It has been studied experimentally for years, but, lately, high-throughput technologies are able to produce genome-wide DNA methylation data that can be analyzed using various computational approaches. Thus, this study aims to bioinformatically investigate different DNA methylation and gene expression patterns in prostate cancer. DNA methylation data from three datasets (TCGA, Absher and Kirby) was correlated with gene expression data in order to distinguish different regulation patterns. Classically, increased DNA methylation in promoter regions is being associated with gene expression downregulation. Although, results of the present project demonstrate another robust pattern, where DNA hypermethylation in promoter regions of 1,058 common genes is accompanied by upregulated expression. After analyzing expression and methylation values in the same samples from TCGA dataset, expression overcompensation in a dataset as an explanation for upregulation was excluded. Further reasons behind the pattern were investigated using TCGA DNA methylation data with extended list of probes and includes the presence of methylated positions in CpG islands, distance to transcription start sites and alternative TSSs. As compared with the downregulated genes in the classical pattern, upregulated genes were shown to have more positions in CpG islands and closer to TSSs. Moreover, the presence of alternative TSS in prostate was demonstrated, also disclosing the limitations of methylation detection systems. -
Mechanisms Governing Anaphylaxis: Inflammatory Cells, Mediators
International Journal of Molecular Sciences Review Mechanisms Governing Anaphylaxis: Inflammatory Cells, Mediators, Endothelial Gap Junctions and Beyond Samantha Minh Thy Nguyen 1, Chase Preston Rupprecht 2, Aaisha Haque 3, Debendra Pattanaik 4, Joseph Yusin 5 and Guha Krishnaswamy 1,3,* 1 Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27106, USA; [email protected] 2 The Rowan School of Osteopathic Medicine, Stratford, NJ 08084, USA; [email protected] 3 The Bill Hefner VA Medical Center, Salisbury, NC 27106, USA; [email protected] 4 Division of Allergy and Immunology, UT Memphis College of Medicine, Memphis, TN 38103, USA; [email protected] 5 The Division of Allergy and Immunology, Greater Los Angeles VA Medical Center, Los Angeles, CA 90011, USA; [email protected] * Correspondence: [email protected] Abstract: Anaphylaxis is a severe, acute, life-threatening multisystem allergic reaction resulting from the release of a plethora of mediators from mast cells culminating in serious respiratory, cardiovascular and mucocutaneous manifestations that can be fatal. Medications, foods, latex, exercise, hormones (progesterone), and clonal mast cell disorders may be responsible. More recently, novel syndromes such as delayed reactions to red meat and hereditary alpha tryptasemia have been described. Anaphylaxis manifests as sudden onset urticaria, pruritus, flushing, erythema, Citation: Nguyen, S.M.T.; Rupprecht, angioedema (lips, tongue, airways, periphery), myocardial dysfunction (hypovolemia, distributive -
Interoperability in Toxicology: Connecting Chemical, Biological, and Complex Disease Data
INTEROPERABILITY IN TOXICOLOGY: CONNECTING CHEMICAL, BIOLOGICAL, AND COMPLEX DISEASE DATA Sean Mackey Watford A dissertation submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Gillings School of Global Public Health (Environmental Sciences and Engineering). Chapel Hill 2019 Approved by: Rebecca Fry Matt Martin Avram Gold David Reif Ivan Rusyn © 2019 Sean Mackey Watford ALL RIGHTS RESERVED ii ABSTRACT Sean Mackey Watford: Interoperability in Toxicology: Connecting Chemical, Biological, and Complex Disease Data (Under the direction of Rebecca Fry) The current regulatory framework in toXicology is expanding beyond traditional animal toXicity testing to include new approach methodologies (NAMs) like computational models built using rapidly generated dose-response information like US Environmental Protection Agency’s ToXicity Forecaster (ToXCast) and the interagency collaborative ToX21 initiative. These programs have provided new opportunities for research but also introduced challenges in application of this information to current regulatory needs. One such challenge is linking in vitro chemical bioactivity to adverse outcomes like cancer or other complex diseases. To utilize NAMs in prediction of compleX disease, information from traditional and new sources must be interoperable for easy integration. The work presented here describes the development of a bioinformatic tool, a database of traditional toXicity information with improved interoperability, and efforts to use these new tools together to inform prediction of cancer and complex disease. First, a bioinformatic tool was developed to provide a ranked list of Medical Subject Heading (MeSH) to gene associations based on literature support, enabling connection of compleX diseases to genes potentially involved. -
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 Central Role of Fibrinolytic Response in COVID-19—A Hematologist’S Perspective
International Journal of Molecular Sciences Review The Central Role of Fibrinolytic Response in COVID-19—A Hematologist’s Perspective Hau C. Kwaan 1,* and Paul F. Lindholm 2 1 Division of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA 2 Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; [email protected] * Correspondence: [email protected] Abstract: The novel coronavirus disease (COVID-19) has many characteristics common to those in two other coronavirus acute respiratory diseases, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). They are all highly contagious and have severe pulmonary complications. Clinically, patients with COVID-19 run a rapidly progressive course of an acute respiratory tract infection with fever, sore throat, cough, headache and fatigue, complicated by severe pneumonia often leading to acute respiratory distress syndrome (ARDS). The infection also involves other organs throughout the body. In all three viral illnesses, the fibrinolytic system plays an active role in each phase of the pathogenesis. During transmission, the renin-aldosterone- angiotensin-system (RAAS) is involved with the spike protein of SARS-CoV-2, attaching to its natural receptor angiotensin-converting enzyme 2 (ACE 2) in host cells. Both tissue plasminogen activator (tPA) and plasminogen activator inhibitor 1 (PAI-1) are closely linked to the RAAS. In lesions in the lung, kidney and other organs, the two plasminogen activators urokinase-type plasminogen activator (uPA) and tissue plasminogen activator (tPA), along with their inhibitor, plasminogen activator 1 (PAI-1), are involved. The altered fibrinolytic balance enables the development of a hypercoagulable Citation: Kwaan, H.C.; Lindholm, state. -
Assembly of an Integrated Human Lung Cell Atlas Reveals That
medRxiv preprint doi: https://doi.org/10.1101/2020.06.02.20120634; this version posted June 4, 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-NC-ND 4.0 International license . Assembly of an integrated human lung cell atlas reveals that SARS-CoV-2 receptor is co-expressed with key elements of the kinin-kallikrein, renin-angiotensin and coagulation systems in alveolar cells Davi Sidarta-Oliveira1,2, Carlos Poblete Jara1,3, Adriano J. Ferruzzi4, Munir S. Skaf4, William H. Velander5, Eliana P. Araujo1,3, Licio A. Velloso1 1Laboratory of Cell Signaling, Obesity and Comorbidities Research Center, University of Campinas, Brazil 2 Physician-Scientist Graduate Program, School of Medical Sciences, University of Campinas, Brazil 3Nursing School, University of Campinas, Brazil 4Institute of Chemistry and Center for Computing in Engineering and Sciences University of Campinas, Brazil 5Department of Chemical and Biomolecular Engineering, University of Nebraska, Lincoln, USA Correspondence: Licio A. Velloso Laboratory of Cell Signaling, Obesity and Comorbidities Research Center, University of Campinas, Campinas, Brazil Address: Rua Carl Von Lineaus s/n, Instituto de Biologia - Bloco Z. Campus Universitário Zeferino Vaz - Barão Geraldo, Campinas - SP, 13083-864 Phone: +55 19 3521-0025 E-mail: [email protected] Abstract SARS-CoV-2, the pathogenic agent of COVID-19, employs angiotensin converting enzyme-2 (ACE2) as its cell entry receptor. Clinical data reveal that in severe COVID- 19, SARS-CoV-2 infects the lung, leading to a frequently lethal triad of respiratory insufficiency, acute cardiovascular failure, and coagulopathy. -
How Relevant Are Bone Marrow-Derived Mast Cells (Bmmcs) As Models for Tissue Mast Cells? a Comparative Transcriptome Analysis of Bmmcs and Peritoneal Mast Cells
cells Article How Relevant Are Bone Marrow-Derived Mast Cells (BMMCs) as Models for Tissue Mast Cells? A Comparative Transcriptome Analysis of BMMCs and Peritoneal Mast Cells 1, 2, 1 1 2,3 Srinivas Akula y , Aida Paivandy y, Zhirong Fu , Michael Thorpe , Gunnar Pejler and Lars Hellman 1,* 1 Department of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden; [email protected] (S.A.); [email protected] (Z.F.); [email protected] (M.T.) 2 Department of Medical Biochemistry and Microbiology, Uppsala University, The Biomedical Center, Box 589, SE-751 23 Uppsala, Sweden; [email protected] (A.P.); [email protected] (G.P.) 3 Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Box 7011, SE-75007 Uppsala, Sweden * Correspondence: [email protected]; Tel.: +46-(0)18-471-4532; Fax: +46-(0)18-471-4862 These authors contributed equally to this work. y Received: 29 July 2020; Accepted: 16 September 2020; Published: 17 September 2020 Abstract: Bone marrow-derived mast cells (BMMCs) are often used as a model system for studies of the role of MCs in health and disease. These cells are relatively easy to obtain from total bone marrow cells by culturing under the influence of IL-3 or stem cell factor (SCF). After 3 to 4 weeks in culture, a nearly homogenous cell population of toluidine blue-positive cells are often obtained. However, the question is how relevant equivalents these cells are to normal tissue MCs. By comparing the total transcriptome of purified peritoneal MCs with BMMCs, here we obtained a comparative view of these cells. -
Supplementary Table 2 Gene Sets Used in GSEA
Supplementary Table 2 Gene sets used in GSEA Up in RNAi and Sign Confirmed in Inducible Gene Probe Set ID Accession Symbol Gene Title 200660_at NM_005620 S100A11 S100 calcium binding protein A11 (calgizzarin) 200785_s_at NM_002332 LRP1 low density lipoprotein-related protein 1 (alpha-2-macroglobulin receptor) 201325_s_at NM_001423 EMP1 epithelial membrane protein 1 201373_at NM_000445 PLEC1 plectin 1, intermediate filament binding protein 500kDa 201466_s_at NM_002228 JUN v-jun sarcoma virus 17 oncogene homolog (avian) 201952_at AA156721 ALCAM activated leukocyte cell adhesion molecule 202042_at NM_002109 HARS histidyl-tRNA synthetase 202074_s_at NM_021980 OPTN optineurin 202087_s_at NM_001912 CTSL cathepsin L 202588_at NM_000476 AK1 adenylate kinase 1 202609_at NM_004447 EPS8 epidermal growth factor receptor pathway substrate 8 202733_at NM_004199 P4HA2 procollagen-proline, 2-oxoglutarate 4-dioxygenase (proline 4-hydroxylase), alpha polypeptide II 202756_s_at NM_002081 GPC1 glypican 1 202786_at NM_013233 STK39 serine threonine kinase 39 (STE20/SPS1 homolog, yeast) 202859_x_at NM_000584 IL8 interleukin 8 203083_at NM_003247 THBS2 thrombospondin 2 203186_s_at NM_002961 S100A4 S100 calcium binding protein A4 (calcium protein, calvasculin, metastasin, murine placental homolog) 203232_s_at NM_000332 ATXN1 ataxin 1 203233_at NM_000418 IL4R interleukin 4 receptor 203771_s_at AA740186 BLVRA biliverdin reductase A 203821_at NM_001945 HBEGF heparin-binding EGF-like growth factor 203939_at NM_002526 NT5E 5'-nucleotidase, ecto (CD73) 203955_at NM_014811 -
The Plasmin–Antiplasmin System: Structural and Functional Aspects
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Bern Open Repository and Information System (BORIS) Cell. Mol. Life Sci. (2011) 68:785–801 DOI 10.1007/s00018-010-0566-5 Cellular and Molecular Life Sciences REVIEW The plasmin–antiplasmin system: structural and functional aspects Johann Schaller • Simon S. Gerber Received: 13 April 2010 / Revised: 3 September 2010 / Accepted: 12 October 2010 / Published online: 7 December 2010 Ó Springer Basel AG 2010 Abstract The plasmin–antiplasmin system plays a key Plasminogen activator inhibitors Á a2-Macroglobulin Á role in blood coagulation and fibrinolysis. Plasmin and Multidomain serine proteases a2-antiplasmin are primarily responsible for a controlled and regulated dissolution of the fibrin polymers into solu- Abbreviations ble fragments. However, besides plasmin(ogen) and A2PI a2-Antiplasmin, a2-Plasmin inhibitor a2-antiplasmin the system contains a series of specific CHO Carbohydrate activators and inhibitors. The main physiological activators EGF-like Epidermal growth factor-like of plasminogen are tissue-type plasminogen activator, FN1 Fibronectin type I which is mainly involved in the dissolution of the fibrin K Kringle polymers by plasmin, and urokinase-type plasminogen LBS Lysine binding site activator, which is primarily responsible for the generation LMW Low molecular weight of plasmin activity in the intercellular space. Both activa- a2M a2-Macroglobulin tors are multidomain serine proteases. Besides the main NTP N-terminal peptide of Pgn physiological inhibitor a2-antiplasmin, the plasmin–anti- PAI-1, -2 Plasminogen activator inhibitor 1, 2 plasmin system is also regulated by the general protease Pgn Plasminogen inhibitor a2-macroglobulin, a member of the protease Plm Plasmin inhibitor I39 family. -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol . -
Supplementary Data
Supplementary Fig. 1 A B Responder_Xenograft_ Responder_Xenograft_ NON- NON- Lu7336, Vehicle vs Lu7466, Vehicle vs Responder_Xenograft_ Responder_Xenograft_ Sagopilone, Welch- Sagopilone, Welch- Lu7187, Vehicle vs Lu7406, Vehicle vs Test: 638 Test: 600 Sagopilone, Welch- Sagopilone, Welch- Test: 468 Test: 482 Responder_Xenograft_ NON- Lu7860, Vehicle vs Responder_Xenograft_ Sagopilone, Welch - Lu7558, Vehicle vs Test: 605 Sagopilone, Welch- Test: 333 Supplementary Fig. 2 Supplementary Fig. 3 Supplementary Figure S1. Venn diagrams comparing probe sets regulated by Sagopilone treatment (10mg/kg for 24h) between individual models (Welsh Test ellipse p-value<0.001 or 5-fold change). A Sagopilone responder models, B Sagopilone non-responder models. Supplementary Figure S2. Pathway analysis of genes regulated by Sagopilone treatment in responder xenograft models 24h after Sagopilone treatment by GeneGo Metacore; the most significant pathway map representing cell cycle/spindle assembly and chromosome separation is shown, genes upregulated by Sagopilone treatment are marked with red thermometers. Supplementary Figure S3. GeneGo Metacore pathway analysis of genes differentially expressed between Sagopilone Responder and Non-Responder models displaying –log(p-Values) of most significant pathway maps. Supplementary Tables Supplementary Table 1. Response and activity in 22 non-small-cell lung cancer (NSCLC) xenograft models after treatment with Sagopilone and other cytotoxic agents commonly used in the management of NSCLC Tumor Model Response type