Candidate Genes and Replication Studies of Dental Caries
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The Mineralocorticoid Receptor Leads to Increased Expression of EGFR
www.nature.com/scientificreports OPEN The mineralocorticoid receptor leads to increased expression of EGFR and T‑type calcium channels that support HL‑1 cell hypertrophy Katharina Stroedecke1,2, Sandra Meinel1,2, Fritz Markwardt1, Udo Kloeckner1, Nicole Straetz1, Katja Quarch1, Barbara Schreier1, Michael Kopf1, Michael Gekle1 & Claudia Grossmann1* The EGF receptor (EGFR) has been extensively studied in tumor biology and recently a role in cardiovascular pathophysiology was suggested. The mineralocorticoid receptor (MR) is an important efector of the renin–angiotensin–aldosterone‑system and elicits pathophysiological efects in the cardiovascular system; however, the underlying molecular mechanisms are unclear. Our aim was to investigate the importance of EGFR for MR‑mediated cardiovascular pathophysiology because MR is known to induce EGFR expression. We identifed a SNP within the EGFR promoter that modulates MR‑induced EGFR expression. In RNA‑sequencing and qPCR experiments in heart tissue of EGFR KO and WT mice, changes in EGFR abundance led to diferential expression of cardiac ion channels, especially of the T‑type calcium channel CACNA1H. Accordingly, CACNA1H expression was increased in WT mice after in vivo MR activation by aldosterone but not in respective EGFR KO mice. Aldosterone‑ and EGF‑responsiveness of CACNA1H expression was confrmed in HL‑1 cells by Western blot and by measuring peak current density of T‑type calcium channels. Aldosterone‑induced CACNA1H protein expression could be abrogated by the EGFR inhibitor AG1478. Furthermore, inhibition of T‑type calcium channels with mibefradil or ML218 reduced diameter, volume and BNP levels in HL‑1 cells. In conclusion the MR regulates EGFR and CACNA1H expression, which has an efect on HL‑1 cell diameter, and the extent of this regulation seems to depend on the SNP‑216 (G/T) genotype. -
Tomo-Seq Identifies SOX9 As a Key Regulator of Cardiac Fibrosis During Ischemic Injury
myocardial myocardial Eva van ◼ osis fibr SOX9 transcription ◼ PhD* PhD PhD PhD MSc, PhD naarden, MSc, PhD naarden, PhD* ventricular remodeling Correspondence to: Correspondence Rooij, MSc, PhD, Hubrecht Department of Institute, KNAW University Medical Cardiology, Uppsalalaan 8, Center Utrecht, The Netherlands. 3584CT Utrecht, E-mail [email protected] of Funding, see page 1408 Sources Key Words: ischemia ◼ © 2017 American Heart Association, Inc. *Drs. Lacraz and Junker contributed equally. Grégory P.A. Lacraz, MSc, P.A. Grégory MSc, Jan Philipp Junker, Monika M. Gladka, MSc, MSc Bas Molenaar, Scholman, MSc Koen T. MSc Marta Vigil-Garcia, BS Danielle Versteeg, BS Hesther de Ruiter, MSc, Vermunt, Marit W. MSc, Creyghton, Menno P. Manon M.H. Huibers, Nicolaas de Jonge, MD Alexander van Oude- Eva van Rooij, MSc, PhD 2017;136:1396–1409. DOI: 10.1161/CIRCULATIONAHA.117.027832 DOI: 2017;136:1396–1409. Circulation. blunted the cardiac fibrotic fibrotic blunted the cardiac Sox9 ). Subsequent correlation analysis allowed). Subsequent correlation Serca2 Editorial, see p 1410 , and Nppa Based on the exact local expression cues, tomo-seq can Based on the exact local expression Cardiac ischemic injury induces a pathological remodeling ischemic injury induces a pathological remodeling Cardiac , Although genome-wide transcriptome analysis on diseased tissues Tracing transcriptional differences with a high spatial resolution with a high spatial resolution transcriptional differences Tracing Col1a2 October 10, 2017 October 10, 1396 CONCLUSIONS: novel genes and key transcription factors involved in specific serve to reveal able to unveil the Using tomo-seq, we were remodeling. aspects of cardiac pointing fibrosis, of cardiac of SOX9 as a key regulator unknown relevance fibrosis. -
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. -
Supplemental Data-Ms. 72723-RG-3
Supplemental Data ALS Mutation FUS-R521C Causes DNA Damage and RNA Splicing Defects Haiyan Qiu, Sebum Lee, Yulei Shang, Wen-Yuan Wang, Kin Fai Au, Sherry Kamiya, Sami J. Barmada, Hansen Lui, Steven Finkbeiner, Caitlin E. Carlton, Amy A. Tang, Michael C. Oldham, Hejia Wang, James Shorter, Anthony J. Filiano, Erik D. Roberson, Warren G. Tourtellotte, Bin Chen, Li-Huei Tsai, Eric J. Huang 1 Supplemental Figure 1. Strategy to Propagate FUS-R521C Transgenic Mice and the Kaplan- Meir Curves for Disease Onset and Survival in N1F1, N2F2 and N2F3 FUS-R521C Mice. (A) A schematic diagram showing the strategy to expand and propagate FUS-R521C transgenic mice from founders to N1F1, N2F2 and N2F3 generations. In brief, the FUS-R521C founder was mated with C57BL6 females to generate N1F1 mice. The surviving N1F1 mice (3-6 months old) are intercrossed to generate N1F2 mice, which were mated with C57BL6 to generate N2F2 mice. To maintain the FUS-R521C colony, N2F2 mice were intercrossed for N2F3 mice. (B) Kaplan-Meier survival curve for the disease onset and survival in N1F1 FUS-R521C mice (n=103) and non- transgenic littermate controls (n=182). (C-D) The disease onset and survival curves for N2F2 and N2F3 FUS-R521C mice were similar, supporting the successful propagation of the transgene and the reproducibility of FUS-R521C phenotype. 2 Supplemental Figure 2. Expression of the Endogenous FUS Proteins and FLAG-tagged FUS- R521C Transgenic Proteins in Glial Cells Within Spinal Cord. (A-B’’) Confocal microscopy shows no expression of FUS in Iba-1+ microglial in control spinal cord from wild type mice. -
An Advance About the Genetic Causes of Epilepsy
E3S Web of Conferences 271, 03068 (2021) https://doi.org/10.1051/e3sconf/202127103068 ICEPE 2021 An advance about the genetic causes of epilepsy Yu Sun1, a, *, †, Licheng Lu2, b, *, †, Lanxin Li3, c, *, †, Jingbo Wang4, d, *, † 1The School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801-3633, US 2High School Affiliated to Shanghai Jiao Tong University, Shanghai, 200441, China 3Applied Biology program, University of British Columbia, Vancouver, V6r3b1, Canada 4School of Chemical Machinery and Safety, Dalian University of Technology, Dalian, 116023, China †These authors contributed equally. Abstract: Human hereditary epilepsy has been found related to ion channel mutations in voltage-gated channels (Na+, K+, Ca2+, Cl-), ligand gated channels (GABA receptors), and G-protein coupled receptors, such as Mass1. In addition, some transmembrane proteins or receptor genes, including PRRT2 and nAChR, and glucose transporter genes, such as GLUT1 and SLC2A1, are also about the onset of epilepsy. The discovery of these genetic defects has contributed greatly to our understanding of the pathology of epilepsy. This review focuses on introducing and summarizing epilepsy-associated genes and related findings in recent decades, pointing out related mutant genes that need to be further studied in the future. 1 Introduction Epilepsy is a neurological disorder characterized by 2 Malfunction of Ion channel epileptic seizures caused by abnormal brain activity. 1 in Functional variation in voltage or ligand-gated ion 100 (50 million people) people are affected by symptoms channel mutations is a major cause of idiopathic epilepsy, of this disorder worldwide, with men, young children, and especially in rare genetic forms. -
The Methamphetamine-Induced RNA Targetome of Hnrnp H in Hnrnph1 Mutants Showing Reduced Dopamine Release and Behavior
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.06.451358; this version posted July 7, 2021. 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. The methamphetamine-induced RNA targetome of hnRNP H in Hnrnph1 mutants showing reduced dopamine release and behavior Qiu T. Ruan1,2,3, Michael A. Rieger4, William B. Lynch2,5, Jiayi W. Cox6, Jacob A. Beierle1,2,3, Emily J. Yao2, Amarpreet Kandola2, Melanie M. Chen2, Julia C. Kelliher2, Richard K. Babbs2, Peter E. A. Ash7, Benjamin Wolozin7, Karen K. Szumlinski8, W. Evan Johnson9, Joseph D. Dougherty4, and Camron D. Bryant1,2,3* 1. Biomolecular Pharmacology Training Program, Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine 2. Laboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston University School of Medicine 3. Transformative Training Program in Addiction Science, Boston University School of Medicine 4. Department of Genetics, Department of Psychiatry, Washington University School of Medicine 5. Graduate Program for Neuroscience, Boston University 6. Programs in Biomedical Sciences, Boston University School of Medicine 7. Department of Pharmacology and Experimental Therapeutics and Neurology, Boston University School of Medicine 8. Department of Psychological and Brain Sciences, University of California, Santa Barbara 9. Department of Medicine, Computational Biomedicine, Boston University School of Medicine *Corresponding Author Camron D. Bryant, Ph.D. Department of Pharmacology and Experimental Therapeutics and Department of Psychiatry 72 E. -
Taqman® Human and Rat Inflammation Arrays
TaqMan® Gene Signature Arrays TaqMan® Human and Rat Inflammation Arrays These arrays are part of a collection of TaqMan® Gene Signature Group Assays Human Gene Symbols Arrays that enable analysis of hundreds of TaqMan® Gene Channels 7 Expression Assays on a micro fluidic card with minimal effort. L-type calcium 5 CACNA1C, CACNA1D, CACNA2D1, CACNB2, CACNB4 Inflammation is the body’s response to infection, irritation Ligand gated 2 HTR3A, HTR3B or injury; characterized by redness, heat, swelling, pain and Enzymes and inhibitors 41 possible dysfunction of the organs involved. It can be defined Inhibitor 1 A2M Lipase 15 CES1, PLA2G1B, PLA2G2A, PLA2G5, as an innate immune response manifested by increased blood PLCB2–4, PLCD1, PLCG1, PLCG2, supply and vascular permeability. This allows fluid and white PLA2G7, PLA2G10, PLA2G4C, blood cells to leave the intravascular compartment and move PLA2G2D, PLCE1 Kinase 4 MAPK1, MAPK3, MAPK8, MAPK14 to the site of injury or infection. Nitric oxide synthase 1 NOS2A Phosphodiesterase 4 PDE4A–D Inflammation is associated with a wide range of disorders Prostaglandin metabolism 9 ALOX12, ALOX5, HPGD, LTA4H, including asthma, allergy, rheumatoid arthritis, gout, sepsis, LTC4S, PTGIS, PTGS1 (COX1), PTGS2 (COX2), TBXAS1 autoimmune disease, cardiovascular disease, diabetes, Protease 7 KLK3, CASP1, KLK1, KLK2, neurologic disease and cancer. Medications targeting KLKB1, KLK14, KLK15 inflammatory diseases include NSAIDS, corticosteroids, Factors 9 ANXA1, ANXA3, ANXA5, TNFSF5, H1-receptor antagonists and ß2-selective adrenergic drugs. IL13, KNG1, NFKB1, TNFSF13B, TNF Current treatments tend to have limited efficacy because Receptors 35 they target symptoms or impair the immune response. GPCR 18 ADRB1, ADRB2, BDKRB1, BDKRB2, CYSLTR1, HRH1–3, LTB4R, An increasing number of new drugs and protein therapies LTB4R2, MC2R (missing on rat are being developed. -
Association of Masseter Muscle Cacna2d1, Cacna1s, Gabarap , and Trpm7 Gene Expression in Temporomandibular Joint Disorders
ASSOCIATION OF MASSETER MUSCLE CACNA2D1, CACNA1S, GABARAP , AND TRPM7 GENE EXPRESSION IN TEMPOROMANDIBULAR JOINT DISORDERS A Thesis Submitted to The Temple University Graduate Board In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE in ORAL BIOLOGY By Erin R. Bauerle, DMD July 2016 Thesis Approval(s): Michael J. Horton, Ph.D. Thesis Advisor, Temple U. Kornberg School of Dentistry, Dept. of Orthodontics James J. Sciote, D.D.S., M.S., Ph.D. Committee Member Temple U. Kornberg School of Dentistry, Dept. of Orthodontics Jeffrey H. Godel, D.D.S. Committee Member, Temple U. Kornberg School of Dentistry, Dept. of Orthodontics ABSTRACT A major physiological risk factor of temporomandibular disorders (TMD) is sensitization of peripheral and central nervous system pain processing pathways. Calcium channel, voltage-dependent, alpha-2/delta subunit-1 ( CACNA2D1 ) has a crucial role in relaying nociceptive information in the spinal dorsal horn. Up-regulation of CACNA2D1 results in abnormal excitatory synapse formation and enhanced presynaptic excitatory neurotransmitter release. Blocking CACNA2D1 with gabapentinoid-class drugs relieves orofacial hypersensitivity. Drs. Foley, Horton, and Sciote previously reported that in a small sample group (n=12), CACNA2D1 expression was greater in males than females, but increased in women with TMD. The objectives of this study are to corroborate these data and investigate expression patterns of other ion channel and conducting system genes. Additionally, since the null polymorphism ACTN3 -577XX associates with muscle fiber microdamage during eccentric contraction, we tested for possible gene associations with ACTN3 -R577XX genotypes. Masseter muscle samples came from human subjects (n=23 male; 48 female) with malocclusions undergoing orthognathic surgery. -
Pflugers Final
CORE Metadata, citation and similar papers at core.ac.uk Provided by Serveur académique lausannois A comprehensive analysis of gene expression profiles in distal parts of the mouse renal tubule. Sylvain Pradervand2, Annie Mercier Zuber1, Gabriel Centeno1, Olivier Bonny1,3,4 and Dmitri Firsov1,4 1 - Department of Pharmacology and Toxicology, University of Lausanne, 1005 Lausanne, Switzerland 2 - DNA Array Facility, University of Lausanne, 1015 Lausanne, Switzerland 3 - Service of Nephrology, Lausanne University Hospital, 1005 Lausanne, Switzerland 4 – these two authors have equally contributed to the study to whom correspondence should be addressed: Dmitri FIRSOV Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925406 Fax: ++ 41-216925355 e-mail: [email protected] and Olivier BONNY Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925417 Fax: ++ 41-216925355 e-mail: [email protected] 1 Abstract The distal parts of the renal tubule play a critical role in maintaining homeostasis of extracellular fluids. In this review, we present an in-depth analysis of microarray-based gene expression profiles available for microdissected mouse distal nephron segments, i.e., the distal convoluted tubule (DCT) and the connecting tubule (CNT), and for the cortical portion of the collecting duct (CCD) (Zuber et al., 2009). Classification of expressed transcripts in 14 major functional gene categories demonstrated that all principal proteins involved in maintaining of salt and water balance are represented by highly abundant transcripts. However, a significant number of transcripts belonging, for instance, to categories of G protein-coupled receptors (GPCR) or serine-threonine kinases exhibit high expression levels but remain unassigned to a specific renal function. -
In Silico Screening and in Vivo Evaluation of Potential CACNA2D1 Antagonists As Intraocular Pressure-Reducing Agents in Glaucoma Therapy
pharmaceuticals Article In Silico Screening and In Vivo Evaluation of Potential CACNA2D1 Antagonists as Intraocular Pressure-Reducing Agents in Glaucoma Therapy Hanxuan Li 1,†, Mohamed Moustafa Ibrahim 2,3,† , Hao Chen 1, Wei Li 1,* and Monica M. Jablonski 1,2,* 1 Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN 38163, USA; [email protected] (H.L.); [email protected] (H.C.) 2 Department of Ophthalmology, Hamilton Eye Institute, University of Tennessee Health Science Center, Memphis, TN 38163, USA; [email protected] 3 Department of Pharmaceutics, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt * Correspondence: [email protected] (W.L.); [email protected] (M.M.J.); Tel.: +1-(901)-448-7532 (W.L.); +1-(901)-448-7572 (M.M.J.) † Authors share equally as first authors. Abstract: Glaucoma is a leading cause of permanent vision loss and current drugs do not halt disease progression. Thus, new therapies targeting different drug targets with novel mechanisms of action are urgently needed. Previously, we identified CACNA2D1 as a novel modulator of intraocular pressure (IOP) and demonstrated that a topically applied CACNA2D1 antagonist—pregabalin (PRG)—lowered IOP in a dose-dependent manner. To further validate this novel IOP modulator as a Citation: Li, H.; Ibrahim, M.M.; drug target for IOP-lowering pharmaceutics, a homology model of CACNA2D1 was built and docked Chen, H.; Li, W.; Jablonski, M.M. In against the NCI library, which is one of the world’s largest and most diverse compound libraries Silico Screening and In Vivo Evaluation of Potential CACNA2D1 of natural products. Acivicin and zoledronic acid were identified using this method and together Antagonists as Intraocular with PRG were tested for their plausible IOP-lowering effect on Dutch belted rabbits. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7