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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). -
A Population-Specific Major Allele Reference Genome from the United
Edith Cowan University Research Online ECU Publications Post 2013 2021 A population-specific major allele efr erence genome from the United Arab Emirates population Gihan Daw Elbait Andreas Henschel Guan K. Tay Edith Cowan University Habiba S. Al Safar Follow this and additional works at: https://ro.ecu.edu.au/ecuworkspost2013 Part of the Life Sciences Commons, and the Medicine and Health Sciences Commons 10.3389/fgene.2021.660428 Elbait, G. D., Henschel, A., Tay, G. K., & Al Safar, H. S. (2021). A population-specific major allele reference genome from the United Arab Emirates population. Frontiers in Genetics, 12, article 660428. https://doi.org/10.3389/ fgene.2021.660428 This Journal Article is posted at Research Online. https://ro.ecu.edu.au/ecuworkspost2013/10373 fgene-12-660428 April 19, 2021 Time: 16:18 # 1 ORIGINAL RESEARCH published: 23 April 2021 doi: 10.3389/fgene.2021.660428 A Population-Specific Major Allele Reference Genome From The United Arab Emirates Population Gihan Daw Elbait1†, Andreas Henschel1,2†, Guan K. Tay1,3,4,5 and Habiba S. Al Safar1,3,6* 1 Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, 2 Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, 3 Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, 4 Division of Psychiatry, Faculty of Health and Medical Sciences, The University of Western Australia, Crawley, WA, Australia, 5 School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia, 6 Department of Genetics and Molecular Biology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates The ethnic composition of the population of a country contributes to the uniqueness of each national DNA sequencing project and, ideally, individual reference genomes are required to reduce the confounding nature of ethnic bias. -
Β-Catenin-Mediated Hair Growth Induction Effect of 3,4,5-Tri-O- Caffeoylquinic Acid
www.aging-us.com AGING 2019, Vol. 11, No. 12 Research Paper β-catenin-mediated hair growth induction effect of 3,4,5-tri-O- caffeoylquinic acid Meriem Bejaoui1, Myra O. Villareal1,2,3, Hiroko Isoda1,2,3 1School of Integrative and Global Majors (SIGMA), University of Tsukuba, Tsukuba City, 305-8572 Japan 2Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba City, 305-8572 Japan 3Alliance for Research on the Mediterranean and North Africa (ARENA), University of Tsukuba, Tsukuba City, 305- 8572 Japan Correspondence to: Hiroko Isoda; email: [email protected] Keywords: 3,4,5-tri-O-caffeoylquinic acid (TCQA), β-catenin, dermal papilla, anagen, Wnt/β-catenin pathway Received: April 23, 2018 Accepted: June 17, 2019 Published: June 29, 2019 Copyright: Bejaoui et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The hair follicle is a complex structure that goes through a cyclic period of growth (anagen), regression (catagen), and rest (telogen) under the regulation of several signaling pathways, including Wnt/ β-catenin, FGF, Shh, and Notch. The Wnt/β-catenin signaling is specifically involved in hair follicle morphogenesis, regeneration, and growth. β-catenin is expressed in the dermal papilla and promotes anagen induction and duration, as well as keratinocyte regulation and differentiation. In this study, we demonstrated the activation of β-catenin by a polyphenolic compound 3,4,5-tri-O-caffeoylquinic acid (TCQA) in mice model and in human dermal papilla cells to promote hair growth cycle. -
A Chromosome Level Genome of Astyanax Mexicanus Surface Fish for Comparing Population
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. 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. 1 Title 2 A chromosome level genome of Astyanax mexicanus surface fish for comparing population- 3 specific genetic differences contributing to trait evolution. 4 5 Authors 6 Wesley C. Warren1, Tyler E. Boggs2, Richard Borowsky3, Brian M. Carlson4, Estephany 7 Ferrufino5, Joshua B. Gross2, LaDeana Hillier6, Zhilian Hu7, Alex C. Keene8, Alexander Kenzior9, 8 Johanna E. Kowalko5, Chad Tomlinson10, Milinn Kremitzki10, Madeleine E. Lemieux11, Tina 9 Graves-Lindsay10, Suzanne E. McGaugh12, Jeff T. Miller12, Mathilda Mommersteeg7, Rachel L. 10 Moran12, Robert Peuß9, Edward Rice1, Misty R. Riddle13, Itzel Sifuentes-Romero5, Bethany A. 11 Stanhope5,8, Clifford J. Tabin13, Sunishka Thakur5, Yamamoto Yoshiyuki14, Nicolas Rohner9,15 12 13 Authors for correspondence: Wesley C. Warren ([email protected]), Nicolas Rohner 14 ([email protected]) 15 16 Affiliation 17 1Department of Animal Sciences, Department of Surgery, Institute for Data Science and 18 Informatics, University of Missouri, Bond Life Sciences Center, Columbia, MO 19 2 Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 20 3 Department of Biology, New York University, New York, NY 21 4 Department of Biology, The College of Wooster, Wooster, OH 22 5 Harriet L. Wilkes Honors College, Florida Atlantic University, Jupiter FL 23 6 Department of Genome Sciences, University of Washington, Seattle, WA 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. -
Increased Sensitivity of Diagnostic Mutation Detection by Re-Analysis Incorporating Local Reassembly of Sequence Reads
This is a repository copy of Increased Sensitivity of Diagnostic Mutation Detection by Re-analysis Incorporating Local Reassembly of Sequence Reads. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/123432/ Version: Accepted Version Article: Watson, CM, Camm, N, Crinnion, LA et al. (7 more authors) (2017) Increased Sensitivity of Diagnostic Mutation Detection by Re-analysis Incorporating Local Reassembly of Sequence Reads. Molecular Diagnosis and Therapy, 21 (6). pp. 685-692. ISSN 1177-1062 https://doi.org/10.1007/s40291-017-0304-x © Springer International Publishing AG 2017. This is an author produced version of a paper published in Molecular Diagnosis and Therapy. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/10.1007/s40291-017-0304-x. Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ TITLE Increased sensitivity of diagnostic mutation detection by re-analysis incorporating local reassembly of sequence reads RUNNING HEAD ABRA reassembly improves test sensitivity Christopher M. -
Latest Version of Intermine in Any Repository
InterMine Documentation InterMine Apr 26, 2021 Contents 1 Contents 3 1.1 System Requirements..........................................3 1.2 Get started................................................ 21 1.3 InterMine................................................. 52 1.4 Data Model................................................ 69 1.5 Database................................................. 78 1.6 Guide to Customising your Web Application.............................. 154 1.7 Web Services............................................... 250 1.8 Embedding InterMine components................................... 251 1.9 InterMine API Description........................................ 279 1.10 Support.................................................. 284 1.11 About Us................................................. 287 1.12 InterMine Video Tutorial Collection................................... 290 2 Indices 295 Index 297 i ii InterMine Documentation InterMine is an open source data warehouse built specifically for the integration and analysis of complex biological data. Developed by the Micklem lab at the University of Cambridge, InterMine enables the creation of biological databases accessed by sophisticated web query tools. Parsers are provided for integrating data from many common biological data sources and formats, and there is a framework for adding your own data. InterMine includes an attractive, user- friendly web interface that works ‘out of the box’ and can be easily customised for your specific needs, as well as a powerful, scriptable -
A Curated Ortholog Database for Yeasts and Fungi Spanning 600 Million Years of Evolution
bioRxiv preprint doi: https://doi.org/10.1101/237974; this version posted October 8, 2018. 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 4.0 International license. AYbRAH: a curated ortholog database for yeasts and fungi spanning 600 million years of evolution Kevin Correia1, Shi M. Yu1, and Radhakrishnan Mahadevan1,2,* 1Department of Chemical Engineering and Applied Chemistry, University of Toronto, Canada, ON 2Institute of Biomaterials and Biomedical Engineering, University of Toronto, Ontario, Canada Corresponding author: Radhakrishnan Mahadevan∗ Email address: [email protected] ABSTRACT Budding yeasts inhabit a range of environments by exploiting various metabolic traits. The genetic bases for these traits are mostly unknown, preventing their addition or removal in a chassis organism for metabolic engineering. To help understand the molecular evolution of these traits in yeasts, we created Analyzing Yeasts by Reconstructing Ancestry of Homologs (AYbRAH), an open-source database of predicted and manually curated ortholog groups for 33 diverse fungi and yeasts in Dikarya, spanning 600 million years of evolution. OrthoMCL and OrthoDB were used to cluster protein sequence into ortholog and homolog groups, respectively; MAFFT and PhyML were used to reconstruct the phylogeny of all homolog groups. Ortholog assignments for enzymes and small metabolite transporters were compared to their phylogenetic reconstruction, and curated to resolve any discrepancies. Information on homolog and ortholog groups can be viewed in the AYbRAH web portal (https://kcorreia.github. io/aybrah/) to review ortholog groups, predictions for mitochondrial localization and transmembrane domains, literature references, and phylogenetic reconstructions. -
Meta-Analysis of 8Q24 for Seven Cancers Reveals a Locus Between
Brisbin et al. BMC Medical Genetics 2011, 12:156 http://www.biomedcentral.com/1471-2350/12/156 RESEARCHARTICLE Open Access Meta-analysis of 8q24 for seven cancers reveals a locus between NOV and ENPP2 associated with cancer development Abra G Brisbin1, Yan W Asmann1, Honglin Song2, Ya-Yu Tsai3, Jeremiah A Aakre1, Ping Yang1, Robert B Jenkins4, Paul Pharoah2, Fredrick Schumacher5, David V Conti5, David J Duggan6, Mark Jenkins7, John Hopper7, Steven Gallinger8, Polly Newcomb9, Graham Casey5, Thomas A Sellers3 and Brooke L Fridley1* Abstract Background: Human chromosomal region 8q24 contains several genes which could be functionally related to cancer, including the proto-oncogene c-MYC. However, the abundance of associations around 128 Mb on chromosome 8 could mask the appearance of a weaker, but important, association elsewhere on 8q24. Methods: In this study, we completed a meta-analysis of results from nine genome-wide association studies for seven types of solid-tumor cancers (breast, prostate, pancreatic, lung, ovarian, colon, and glioma) to identify additional associations that were not apparent in any individual study. Results: Fifteen SNPs in the 8q24 region had meta-analysis p-values < 1E-04. In particular, the region consisting of 120,576,000-120,627,000 bp contained 7 SNPs with p-values < 1.0E-4, including rs6993464 (p = 1.25E-07). This association lies in the region between two genes, NOV and ENPP2, which have been shown to play a role in tumor development and motility. An additional region consisting of 5 markers from 128,478,000 bp - 128,524,000 (around gene POU5F1B) had p-values < 1E-04, including rs6983267, which had the smallest p-value (p = 6.34E-08). -
Sudden Unexpected Death with Rare Compound Heterozygous Variants in PRICKLE1
neurogenetics (2019) 20:39–43 https://doi.org/10.1007/s10048-018-0562-8 SHORT COMMUNICATION Sudden unexpected death with rare compound heterozygous variants in PRICKLE1 Yukiko Hata1 & Koji Yoshida2,3 & Naoki Nishida1 Received: 29 October 2018 /Accepted: 8 December 2018 /Published online: 18 December 2018 # Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Progressive myoclonus epilepsy-ataxia syndrome (EPM5) is an autosomal recessive form of progressive myoclonus epilepsy that has been associated with a homozygous missense mutation in PRICKLE1. We report a 23-year-old male who died shortly after refractory convulsion and respiratory failure. Autopsy showed unilateral hippocampal malformation without significant neuronal loss or gliosis. Genetic analysis that targeted both epilepsy and cardiac disease using next-generation sequencing revealed two variants of PRICKLE1. Additional investigation showed that the patient’s father (p.Asp760del) and mother (p.Asp201Asn) each had a mutation in this gene. The present case shows that EPM5 can also be caused by compound heterozygous mutations. Keywords Compound heterozygous mutation . Hippocampus . Neuropathology . PRICKLE1 . Progressive myoclonus epilepsy . Sudden death Introduction Here we report the autopsy of a young man with a complex heterozygous mutation in PRICKLE1 whodiedsuddenly Progressive myoclonus epilepsy (PME) is a complex of neu- without medical treatment antemortem. rodegenerative diseases that show action myoclonus, epileptic seizures and progressive neurologic