Forensic Stain Identification by RT-PCR Analysis
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Aquaporin Channels in the Heart—Physiology and Pathophysiology
International Journal of Molecular Sciences Review Aquaporin Channels in the Heart—Physiology and Pathophysiology Arie O. Verkerk 1,2,* , Elisabeth M. Lodder 2 and Ronald Wilders 1 1 Department of Medical Biology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] 2 Department of Experimental Cardiology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] * Correspondence: [email protected]; Tel.: +31-20-5664670 Received: 29 March 2019; Accepted: 23 April 2019; Published: 25 April 2019 Abstract: Mammalian aquaporins (AQPs) are transmembrane channels expressed in a large variety of cells and tissues throughout the body. They are known as water channels, but they also facilitate the transport of small solutes, gasses, and monovalent cations. To date, 13 different AQPs, encoded by the genes AQP0–AQP12, have been identified in mammals, which regulate various important biological functions in kidney, brain, lung, digestive system, eye, and skin. Consequently, dysfunction of AQPs is involved in a wide variety of disorders. AQPs are also present in the heart, even with a specific distribution pattern in cardiomyocytes, but whether their presence is essential for proper (electro)physiological cardiac function has not intensively been studied. This review summarizes recent findings and highlights the involvement of AQPs in normal and pathological cardiac function. We conclude that AQPs are at least implicated in proper cardiac water homeostasis and energy balance as well as heart failure and arsenic cardiotoxicity. However, this review also demonstrates that many effects of cardiac AQPs, especially on excitation-contraction coupling processes, are virtually unexplored. -
Epithelial Delamination Is Protective During Pharmaceutical-Induced Enteropathy
Epithelial delamination is protective during pharmaceutical-induced enteropathy Scott T. Espenschieda, Mark R. Cronana, Molly A. Mattya, Olaf Muellera, Matthew R. Redinbob,c,d, David M. Tobina,e,f, and John F. Rawlsa,e,1 aDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710; bDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; cDepartment of Biochemistry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599; dDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC 27599; eDepartment of Medicine, Duke University School of Medicine, Durham, NC 27710; and fDepartment of Immunology, Duke University School of Medicine, Durham, NC 27710 Edited by Dennis L. Kasper, Harvard Medical School, Boston, MA, and approved July 15, 2019 (received for review February 12, 2019) Intestinal epithelial cell (IEC) shedding is a fundamental response to in mediating intestinal responses to injury remains poorly un- intestinal damage, yet underlying mechanisms and functions have derstood for most xenobiotics. been difficult to define. Here we model chronic intestinal damage in Gastrointestinal pathology is common in people using phar- zebrafish larvae using the nonsteroidal antiinflammatory drug maceuticals, including nonsteroidal antiinflammatory drugs (NSAID) Glafenine. Glafenine induced the unfolded protein response (NSAIDs) (11). While gastric ulceration has historically been a (UPR) and inflammatory pathways in IECs, leading to delamination. defining clinical presentation of NSAID-induced enteropathy, Glafenine-induced inflammation was augmented by microbial colo- small intestinal pathology has also been observed, although the nizationandassociatedwithchanges in intestinal and environmental incidence may be underreported due to diagnostic limitations microbiotas. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Global Analysis of Protein Folding Thermodynamics for Disease State Characterization
Global Analysis of Protein Folding Thermodynamics for Disease State Characterization and Biomarker Discovery by Jagat Adhikari Department of Biochemistry Duke University Date:_______________________ Approved: ___________________________ Michael C. Fitzgerald, Supervisor ___________________________ Kenneth Kreuzer ___________________________ Terrence G. Oas ___________________________ Jiyong Hong ___________________________ Seok-Yong Lee Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biochemistry in the Graduate School of Duke University 2015 ABSTRACT Global Analysis of Protein Folding Thermodynamics for Disease State Characterization and Biomarker Discovery by Jagat Adhikari Department of Biochemistry Duke University Date:_______________________ Approved: ___________________________ Michael C. Fitzgerald, Supervisor ___________________________ Kenneth Kreuzer ___________________________ Terrence G. Oas ___________________________ Jiyong Hong ___________________________ Seok-Yong Lee An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biochemistry in the Graduate School of Duke University 2015 Copyright by Jagat Adhikari 2015 Abstract Protein biomarkers can facilitate the diagnosis of many diseases such as cancer and they can be important for the development of effective therapeutic interventions. Current large-scale biomarker discovery and disease state characterization -
Open Research Online Oro.Open.Ac.Uk
Open Research Online The Open University’s repository of research publications and other research outputs The Role of Viral Load in the Pathogenesis of HIV-2 Infection in West Africa Thesis How to cite: Ariyoshi, Koya (1998). The Role of Viral Load in the Pathogenesis of HIV-2 Infection in West Africa. PhD thesis The Open University. For guidance on citations see FAQs. c 1998 Koya Ariyoshi https://creativecommons.org/licenses/by-nc-nd/4.0/ Version: Version of Record Link(s) to article on publisher’s website: http://dx.doi.org/doi:10.21954/ou.ro.000101f4 Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online’s data policy on reuse of materials please consult the policies page. oro.open.ac.uk THE ROLE OF VIRAL LOAD D< THE PATHOGENESIS OF HTV-2 INFECTION IN WEST AFRICA BY KOYAARIYOSHI MRC Laboratories, Fajara, The Gambia, West Africa ^ ew • I A thesis submitted to the Open University in fulfilment for the degree of Doctor of Philosophy 1998 Collaborating Establishments: University College Medical School (London) Statens Serum Institute (Copenhagen) Institute of Molecular Medicine (Oxford) Institute of Cancer Research (London) _ ProQuest Number:C706741 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. -
SARS-Cov-2 RNA, Qualitative Real-Time RT-PCR (Test Code 39433)
SARS-CoV-2 RNA, Qualitative Real-Time RT-PCR (Test Code 39433) Package Insert For Emergency Use Only For In-vitro Diagnostic Use - Rx Only Intended Use The Quest Diagnostics SARS-CoV-2 RNA, Qualitative Real-Time RT-PCR (“Quest SARS-CoV-2 rRT-PCR”) is a real-time RT-PCR test intended for the qualitative detection of nucleic acid from the SARS-CoV-2 in upper and lower respiratory specimens (such as nasopharyngeal or oropharyngeal swabs, sputum, tracheal aspirates, and bronchoalveolar lavage) collected from individuals suspected of COVID-19 by their healthcare provider. This test is also for use with nasal swab specimens that are self-collected at home or in a healthcare setting by individuals using an authorized home-collection kit when determined to be appropriate by a healthcare provider. This test is for the qualitative detection of nucleic acid from the SARS-CoV-2 in pooled samples containing up to four of the individual upper respiratory swab specimens (nasopharyngeal, mid-turbinate, anterior nares or oropharyngeal swabs) that were collected in individual vials containing transport media from individuals suspected of COVID-19 by their healthcare provider. Negative results from pooled testing should not be treated as definitive. If patient’s clinical signs and symptoms are inconsistent with a negative result or results are necessary for patient management, then the patient should be considered for individual testing. Specimens included in pools with a positive, inconclusive, or invalid result must be tested individually prior to reporting a result. Specimens with low viral loads may not be detected in sample pools due to the decreased sensitivity of pooled testing. -
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. -
Genomic Variants Reveal Differential Evolutionary Constraints on Human Transglutaminases and Point Towards Unrecognized Significance of Transglutaminase 2
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Debrecen Electronic Archive RESEARCH ARTICLE Genomic variants reveal differential evolutionary constraints on human transglutaminases and point towards unrecognized significance of transglutaminase 2 Kiruphagaran Thangaraju1, RoÂbert KiraÂly1, MaÂte A. DemeÂny1, JaÂnos AndraÂs MoÂtyaÂn1, a1111111111 Mo nika Fuxreiter1,2, LaÂszlo FeÂsuÈs1,3* a1111111111 a1111111111 1 Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, a1111111111 Debrecen, Hungary, 2 MTA-DE Momentum Laboratory of Protein Dynamics, Faculty of Medicine, University a1111111111 of Debrecen, Debrecen, Hungary, 3 MTA-DE Stem cell, Apoptosis and Genomics Research Group of Hungarian Academy of Sciences, Faculty of Medicine, University of Debrecen, Debrecen, Hungary * [email protected] OPEN ACCESS Abstract Citation: Thangaraju K, KiraÂly R, DemeÂny MA, AndraÂs MoÂtyaÂn J, Fuxreiter M, FeÂsuÈs L (2017) Transglutaminases (TGMs) catalyze Ca2+-dependent transamidation of proteins with speci- Genomic variants reveal differential evolutionary constraints on human transglutaminases and point fied roles in blood clotting (F13a) and in cornification (TGM1, TGM3). The ubiquitous TGM2 towards unrecognized significance of has well described enzymatic and non-enzymatic functions but in-spite of numerous studies transglutaminase 2. PLoS ONE 12(3): e0172189. its physiological function in humans has not been defined. We compared data on non-syn- doi:10.1371/journal.pone.0172189 onymous single nucleotide variations (nsSNVs) and loss-of-function variants on TGM1-7 Editor: Richard L. Eckert, University of Maryland and F13a from the Exome aggregation consortium dataset, and used computational and School of Medicine, UNITED STATES biochemical analysis to reveal the roles of damaging nsSNVs of TGM2. -
Supplementary Table S1. Prioritization of Candidate FPC Susceptibility Genes by Private Heterozygous Ptvs
Supplementary Table S1. Prioritization of candidate FPC susceptibility genes by private heterozygous PTVs Number of private Number of private Number FPC patient heterozygous PTVs in heterozygous PTVs in tumors with somatic FPC susceptibility Hereditary cancer Hereditary Gene FPC kindred BCCS samples mutation DNA repair gene Cancer driver gene gene gene pancreatitis gene ATM 19 1 - Yes Yes Yes Yes - SSPO 12 8 1 - - - - - DNAH14 10 3 - - - - - - CD36 9 3 - - - - - - TET2 9 1 - - Yes - - - MUC16 8 14 - - - - - - DNHD1 7 4 1 - - - - - DNMT3A 7 1 - - Yes - - - PKHD1L1 7 9 - - - - - - DNAH3 6 5 - - - - - - MYH7B 6 1 - - - - - - PKD1L2 6 6 - - - - - - POLN 6 2 - Yes - - - - POLQ 6 7 - Yes - - - - RP1L1 6 6 - - - - - - TTN 6 5 4 - - - - - WDR87 6 7 - - - - - - ABCA13 5 3 1 - - - - - ASXL1 5 1 - - Yes - - - BBS10 5 0 - - - - - - BRCA2 5 6 1 Yes Yes Yes Yes - CENPJ 5 1 - - - - - - CEP290 5 5 - - - - - - CYP3A5 5 2 - - - - - - DNAH12 5 6 - - - - - - DNAH6 5 1 1 - - - - - EPPK1 5 4 - - - - - - ESYT3 5 1 - - - - - - FRAS1 5 4 - - - - - - HGC6.3 5 0 - - - - - - IGFN1 5 5 - - - - - - KCP 5 4 - - - - - - LRRC43 5 0 - - - - - - MCTP2 5 1 - - - - - - MPO 5 1 - - - - - - MUC4 5 5 - - - - - - OBSCN 5 8 2 - - - - - PALB2 5 0 - Yes - Yes Yes - SLCO1B3 5 2 - - - - - - SYT15 5 3 - - - - - - XIRP2 5 3 1 - - - - - ZNF266 5 2 - - - - - - ZNF530 5 1 - - - - - - ACACB 4 1 1 - - - - - ALS2CL 4 2 - - - - - - AMER3 4 0 2 - - - - - ANKRD35 4 4 - - - - - - ATP10B 4 1 - - - - - - ATP8B3 4 6 - - - - - - C10orf95 4 0 - - - - - - C2orf88 4 0 - - - - - - C5orf42 4 2 - - - - -
Transcriptional Regulation Differs in Affected Facioscapulohumeral Muscular Dystrophy Patients Compared to Asymptomatic Related Carriers
University of Massachusetts Medical School eScholarship@UMMS Wellstone Center for FSHD Publications Wellstone Center for FSHD 2009-04-14 Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiro University of Sao Paulo Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/wellstone_pubs Part of the Cell Biology Commons, Developmental Biology Commons, Molecular Biology Commons, Molecular Genetics Commons, Musculoskeletal Diseases Commons, and the Nervous System Diseases Commons Repository Citation Arashiro P, Eisenberg I, Kho AT, Cerqueira AM, Canovas M, Silva HC, Pavanello RC, Verjovski-Almeida S, Kunkel LM, Zatz M. (2009). Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers. Wellstone Center for FSHD Publications. https://doi.org/10.1073/pnas.0901573106. Retrieved from https://escholarship.umassmed.edu/ wellstone_pubs/18 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Wellstone Center for FSHD Publications by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiroa, Iris Eisenbergb, Alvin T. Khoc, Antonia M. P. Cerqueiraa, Marta -
Identification of Novel Nasopharyngeal Carcinoma
Imaging, Diagnosis, Prognosis Identification of Novel Nasopharyngeal Carcinoma Biomarkers by Laser Capture Microdissection and Proteomic Analysis Ai-Lan Cheng,1, 3 Wei-Guo Huang,1, 3 Zhu-Chu Chen,1, 2 Fang Peng,1Peng-Fei Zhang,1Mao-Yu Li,1 Feng Li,1, 2 Jian-Ling Li,1Cui Li,1Hong Yi,1Bin Yi,1and Zhi-Qiang Xiao1 Abstract Purpose: To identify novel nasopharyngeal carcinoma (NPC) biomarkers by laser capture microdissection and a proteomic approach. Experimental Design: Proteins from pooled microdissected NPC and normal nasopharyngeal epithelial tissues (NNET) were separated by two-dimensional gel electrophoresis, and differential proteins were identified by mass spectrometry. Expression of three differential proteins (stathmin, 14 -3 -3j, and annexin I) in the above two tissues as well as four NPC cell lines was determined by Western blotting. Immunohistochemistry was also done to detect the expression ofthree differential proteins in 98 cases of primary NPC, 30 cases of NNET, and 20 cases of cervical lymph node metastases, and the correlation oftheir expression levels with clinicopathologic features and clinical outcomes were evaluated. Results: Thirty-six differential proteins between the NPC and NNET were identified. The expression levels ofstathmin, 14-3-3 j, and annexin I in the two types oftissues were confirmed and related to differentiation degree and/or metastatic potential of the NPC cell lines. Significant stathmin up-regulation and down-regulation of14-3-3 j and annexin I were observed in NPC versus NNET, and significant down-regulation of 14-3-3j and annexin I was also observed in lymph node metastasis versus primary NPC. In addition, stathmin up-regulation and down- regulation of14-3-3 j and annexin I were significantly correlated with poor histologic differentiation, advanced clinical stage, and recurrence, whereas down-regulation of 14-3-3j and annexin I was also significantly correlated with lymph node and distant metastasis. -
Repeated BCG Treatment of Mouse Bladder Selectively Stimulates Small
BMC Cancer BioMed Central Research article Open Access Repeated BCG treatment of mouse bladder selectively stimulates small GTPases and HLA antigens and inhibits single-spanning uroplakins Marcia R Saban1, Helen L Hellmich2, Cindy Simpson1, Carole A Davis1, Mark L Lang3, Michael A Ihnat4, Michael A O'Donnell5, Xue-Ru Wu6 and Ricardo Saban*1 Address: 1Department of Physiology, The University Oklahoma Health Sciences Center, Oklahoma City, USA, 2Department of Anesthesiology, University of Texas Medical Branch, Galveston, USA, 3Department of Microbiology and Immunology The University Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA, 4Department of Cell Biology, The University Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA, 5Department of Urology, University of Iowa, UI Hospitals and Clinics, Iowa City, Iowa 52242-1089, USA and 6Department of Urology, New York University, School of Medicine, New York, NY 10016, USA Email: Marcia R Saban - [email protected]; Helen L Hellmich - [email protected]; Cindy Simpson - [email protected]; Carole A Davis - [email protected]; Mark L Lang - [email protected]; Michael A Ihnat - [email protected]; Michael A O'Donnell - [email protected]; Xue-Ru Wu - [email protected]; Ricardo Saban* - [email protected] * Corresponding author Published: 2 November 2007 Received: 29 August 2007 Accepted: 2 November 2007 BMC Cancer 2007, 7:204 doi:10.1186/1471-2407-7-204 This article is available from: http://www.biomedcentral.com/1471-2407/7/204 © 2007 Saban et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.