A Population-Specific Major Allele Reference Genome from the United
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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. -
Identification of Potential Markers for Type 2 Diabetes Mellitus Via Bioinformatics Analysis
1868 MOLECULAR MEDICINE REPORTS 22: 1868-1882, 2020 Identification of potential markers for type 2 diabetes mellitus via bioinformatics analysis YANA LU1, YIHANG LI1, GUANG LI1* and HAITAO LU2* 1Key Laboratory of Dai and Southern Medicine of Xishuangbanna Dai Autonomous Prefecture, Yunnan Branch, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Jinghong, Yunnan 666100; 2Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, P.R. China Received March 20, 2019; Accepted January 20, 2020 DOI: 10.3892/mmr.2020.11281 Abstract. Type 2 diabetes mellitus (T2DM) is a multifactorial and cell proliferation’. These candidate genes were also involved in multigenetic disease, and its pathogenesis is complex and largely different signaling pathways associated with ‘PI3K/Akt signaling unknown. In the present study, microarray data (GSE201966) of pathway’, ‘Rap1 signaling pathway’, ‘Ras signaling pathway’ β-cell enriched tissue obtained by laser capture microdissection and ‘MAPK signaling pathway’, which are highly associated were downloaded, including 10 control and 10 type 2 diabetic with the development of T2DM. Furthermore, a microRNA subjects. A comprehensive bioinformatics analysis of microarray (miR)-target gene regulatory network and a transcription data in the context of protein-protein interaction (PPI) networks factor-target gene regulatory network were constructed based was employed, combined with subcellular location information on miRNet and NetworkAnalyst databases, respectively. to mine the potential candidate genes for T2DM and provide Notably, hsa-miR‑192-5p, hsa-miR‑124-5p and hsa-miR‑335-5p further insight on the possible mechanisms involved. First, appeared to be involved in T2DM by potentially regulating the differential analysis screened 108 differentially expressed expression of various candidate genes, including procollagen genes. -
Genome-Wide Linkage and Admixture Mapping of Type 2 Diabetes In
ORIGINAL ARTICLE Genome-Wide Linkage and Admixture Mapping of Type 2 Diabetes in African American Families From the American Diabetes Association GENNID (Genetics of NIDDM) Study Cohort Steven C. Elbein,1,2 Swapan K. Das,1,2 D. Michael Hallman,3 Craig L. Hanis,3 and Sandra J. Hasstedt4 OBJECTIVE—We used a single nucleotide polymorphism (SNP) map in a large cohort of 580 African American families to identify regions linked to type 2 diabetes, age of type 2 diabetes ype 2 diabetes is marked by a clear genetic diagnosis, and BMI. propensity, a high concordance in identical twins, tendencies for both diabetes and age of RESEARCH DESIGN AND METHODS—After removing outli- onset to be familial (1), and marked differences ers and problematic samples, we conducted linkage analysis T in prevalence among ethnic groups (2). Despite consider- using 5,914 SNPs in 1,344 individuals from 530 families. Linkage analysis was conducted using variance components for type 2 able evidence for a genetic predisposition, unraveling the diabetes, age of type 2 diabetes diagnosis, and BMI and nonpara- genetic etiology has been daunting, with few confirmed metric linkage analyses. Ordered subset analyses were con- genes identified from genome-wide linkage scans. Recent ducted ranking on age of type 2 diabetes diagnosis, BMI, waist successes with genome-wide association scans (3) have circumference, waist-to-hip ratio, and amount of European ad- greatly increased the number of confirmed genetic loci, mixture. Admixture mapping was conducted using 4,486 markers but these successes have been limited primarily to Cauca- not in linkage disequilibrium. -
The Adaptation and Changes of Titin System Following Exercise Training Hassan Farhadi 1 and Mir Hojjat Mosavineghad 2
Available online a t www.pelagiaresearchlibrary.com Pelagia Research Library European Journal of Experimental Biology, 2012, 2 (4):1256-1260 ISSN: 2248 –9215 CODEN (USA): EJEBAU The adaptation and changes of titin system following exercise training Hassan Farhadi 1 and Mir Hojjat Mosavineghad 2 1Department of Physical Education and Sport Sciences, Ahar branch, Islamic Azad University, Ahar, Iran 2Department of Physical Education and Sport Sciences, khoy branch, Islamic Azad University, khoy, Iran _____________________________________________________________________________________________ ABSTRACT Titin is a large structural protein in muscle that has the ability to store elastic energy. The specific structure of titin and its elastic nature has recently become better understood. In addition, the utilization of stored elastic energy in human movement and the significant contribution of not only tendon but muscle tissue itself to this process has been re-evaluated. In this study, we reviewed the effects of exercise training on titin system (titin expression and titin- complex proteins). Keywords: Titin, titin-complex proteins, exercise training _________________________________________________________________________________________ The giant sarcomeric protein titin is 3-4 MDa and spans the sarcomere from Z-line to M-line. Titin was first discovered in 1979 by Wang et. al. (1), who initially thought that titin was a collection of polypeptides that formed one large protein. Although titin’s physical identification eluded researchers for many years, probably due to its susceptibility to proteolytic cleavage, many scientists, including Earnest Starling and A.F. Huxley, posited its existence (2). Starling and Huxley modeled their theories on the premise that something within striated muscle was regulating passive properties. This is now known to be the role of titin, which is one peptide, encoded by a single gene, TTN (2). -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Network Pharmacology Interpretation of Fuzheng–Jiedu Decoction Against Colorectal Cancer
Hindawi Evidence-Based Complementary and Alternative Medicine Volume 2021, Article ID 4652492, 16 pages https://doi.org/10.1155/2021/4652492 Research Article Network Pharmacology Interpretation of Fuzheng–Jiedu Decoction against Colorectal Cancer Hongshuo Shi ,1 Sisheng Tian,2 and Hu Tian 3 1College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China 2School of Management, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China 3College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China Correspondence should be addressed to Hu Tian; [email protected] Received 7 April 2020; Revised 3 January 2021; Accepted 21 January 2021; Published 20 February 2021 Academic Editor: George B. Lenon Copyright © 2021 Hongshuo Shi et al. ,is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Introduction. Traditional Chinese medicine (TCM) believes that the pathogenic factors of colorectal cancer (CRC) are “deficiency, dampness, stasis, and toxin,” and Fuzheng–Jiedu Decoction (FJD) can resist these factors. In this study, we want to find out the potential targets and pathways of FJD in the treatment of CRC and also explain from a scientific point of view that FJD multidrug combination can resist “deficiency, dampness, stasis, and toxin.” Methods. We get the composition of FJD from the TCMSP database and get its potential target. We also get the potential target of colorectal cancer according to the OMIM Database, TTD Database, GeneCards Database, CTD Database, DrugBank Database, and DisGeNET Database. -
An All-To-All Approach to the Identification of Sequence-Specific Readers for Epigenetic DNA Modifications on Cytosine
bioRxiv preprint doi: https://doi.org/10.1101/638700; this version posted May 16, 2019. 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. An All-to-All Approach to the Identification of Sequence-Specific Readers for Epigenetic DNA Modifications on Cytosine Guang Song1,6, Guohua Wang2,6, Ximei Luo2,3,6, Ying Cheng4, Qifeng Song1, Jun Wan3, Cedric Moore1, Hongjun Song5, Peng Jin4, Jiang Qian3,7,*, Heng Zhu1,7,8,* 1Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA 2School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China 3Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA 4Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA 5Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA 6These authors contributed equally 7Senior author 8Lead Contact *Correspondence: [email protected] (H.Z.), [email protected] (J.Q.). 1 bioRxiv preprint doi: https://doi.org/10.1101/638700; this version posted May 16, 2019. 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. SUMMARY Epigenetic modifications of DNA in mammals play important roles in many biological processes. Identification of readers of these epigenetic marks is a critical step towards understanding the underlying molecular mechanisms. Here, we report the invention and application of an all-to-all approach, dubbed Digital Affinity Profiling via Proximity Ligation (DAPPL), to simultaneously profile human TF-DNA interactions using mixtures of random DNA libraries carrying four different epigenetic modifications (i.e., 5-methylcytosine, 5- hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine). -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer
Florida International University FIU Digital Commons FIU Electronic Theses and Dissertations University Graduate School 11-7-2018 Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer Jairo Ramos [email protected] Follow this and additional works at: https://digitalcommons.fiu.edu/etd Part of the Clinical Epidemiology Commons Recommended Citation Ramos, Jairo, "Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer" (2018). FIU Electronic Theses and Dissertations. 3872. https://digitalcommons.fiu.edu/etd/3872 This work is brought to you for free and open access by the University Graduate School at FIU Digital Commons. It has been accepted for inclusion in FIU Electronic Theses and Dissertations by an authorized administrator of FIU Digital Commons. For more information, please contact [email protected]. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida DECIPHER MECHANISMS BY WHICH NUCLEAR RESPIRATORY FACTOR ONE (NRF1) COORDINATES CHANGES IN THE TRANSCRIPTIONAL AND CHROMATIN LANDSCAPE AFFECTING DEVELOPMENT AND PROGRESSION OF INVASIVE BREAST CANCER A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in PUBLIC HEALTH by Jairo Ramos 2018 To: Dean Tomás R. Guilarte Robert Stempel College of Public Health and Social Work This dissertation, Written by Jairo Ramos, and entitled Decipher Mechanisms by Which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer, having been approved in respect to style and intellectual content, is referred to you for judgment. -
WO 2013/064702 A2 10 May 2013 (10.05.2013) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2013/064702 A2 10 May 2013 (10.05.2013) P O P C T (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, C12Q 1/68 (2006.01) BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (21) International Application Number: HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, PCT/EP2012/071868 KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, (22) International Filing Date: ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, 5 November 20 12 (05 .11.20 12) NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, (25) Filing Language: English TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, (26) Publication Language: English ZM, ZW. (30) Priority Data: (84) Designated States (unless otherwise indicated, for every 1118985.9 3 November 201 1 (03. 11.201 1) GB kind of regional protection available): ARIPO (BW, GH, 13/339,63 1 29 December 201 1 (29. 12.201 1) US GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, (71) Applicant: DIAGENIC ASA [NO/NO]; Grenseveien 92, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, N-0663 Oslo (NO). -
Discovery of Functional Non-Coding Conserved Regions in the Α
F1000Research 2014, 3:259 Last updated: 16 MAY 2019 RESEARCH NOTE Discovery of functional non-coding conserved regions in the α-synuclein gene locus [version 2; peer review: 3 approved] Lori Sterling1, Michael Walter2, Dennis Ting1, Birgitt Schüle1 1Parkinson's Institute and Clinical Center, Sunnyvale, CA 94085, USA 2Institute of Human Genetics, Eberhard-Karls-University Tübingen, Tübingen, 72076, Germany First published: 29 Oct 2014, 3:259 ( Open Peer Review v2 https://doi.org/10.12688/f1000research.3281.1) Latest published: 08 Dec 2014, 3:259 ( https://doi.org/10.12688/f1000research.3281.2) Reviewer Status Abstract Invited Reviewers Several single nucleotide polymorphisms (SNPs) and the Rep-1 1 2 3 microsatellite marker of the α-synuclein ( SNCA) gene have consistently been shown to be associated with Parkinson’s disease, but the functional relevance is unclear. Based on these findings we hypothesized that version 2 report report conserved cis-regulatory elements in the SNCA genomic region regulate published expression of SNCA, and that SNPs in these regions could be functionally 08 Dec 2014 modulating the expression of SNCA, thus contributing to neuronal demise and predisposing to Parkinson’s disease. version 1 In a pair-wise comparison of a 206kb genomic region encompassing the published report report SNCA gene, we revealed 34 evolutionary conserved DNA sequences 29 Oct 2014 between human and mouse. All elements were cloned into reporter vectors and assessed for expression modulation in dual luciferase reporter assays. Ornit Chiba-Falek, Duke University, Durham, We found that 12 out of 34 elements exhibited either an enhancement or 1 reduction of the expression of the reporter gene. -
Changes in Gene Methylation Patterns in Neonatal Murine Hearts
Górnikiewicz et al. BMC Genomics (2016) 17:231 DOI 10.1186/s12864-016-2545-1 RESEARCH ARTICLE Open Access Changes in gene methylation patterns in neonatal murine hearts: Implications for the regenerative potential Bartosz Górnikiewicz1, Anna Ronowicz2, Michał Krzemiński3 and Paweł Sachadyn1* Abstract Background: The neonatal murine heart is able to regenerate after severe injury; this capacity however, quickly diminishes and it is lost within the first week of life. DNA methylation is an epigenetic mechanism which plays a crucial role in development and gene expression regulation. Under investigation here are the changes in DNA methylation and gene expression patterns which accompany the loss of regenerative potential. Results: The MeDIP-chip (methylated DNA immunoprecipitation microarray) approach was used in order to compare global DNA methylation profiles in whole murine hearts at day 1, 7, 14 and 56 complemented with microarray transcriptome profiling. We found that the methylome transition from day 1 to day 7 is characterized by the excess of genomic regions which gain over those that lose DNA methylation. A number of these changes were retained until adulthood. The promoter genomic regions exhibiting increased DNA methylation at day 7 as compared to day 1 are significantly enriched in the genes critical for heart maturation and muscle development. Also, the promoter genomic regions showing an increase in DNA methylation at day 7 relative to day 1 are significantly enriched with a number of transcription factors binding motifs including those of Mfsd6l, Mef2c, Meis3, Tead4, and Runx1. Conclusions: The results indicate that the extensive alterations in DNA methylation patterns along the development of neonatal murine hearts are likely to contribute to the decline of regenerative capabilities observed shortly after birth.