TRAP1 Regulates Wnt/-Catenin Pathway Through LRP5/6 Receptors
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Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Tuesday, November 6 41
American Society of Human Genetics 62nd Annual Meeting November 6–10, 2012 San Francisco, California PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Tuesday, November 6 41. Genes Underlying Neurological Disease Room 134 #196–#204 2. 4:30–6:30pm: Plenary Abstract 42. Cancer Genetics III: Common Presentations Hall D #1–#6 Variants Ballroom 104 #205–#213 43. Genetics of Craniofacial and Wednesday, November 7 Musculoskeletal Disorders Room 124 #214–#222 10:30am–12:45 pm: Concurrent Platform Session A (11–19): 44. Tools for Phenotype Analysis Room 132 #223–#231 11. Genetics of Autism Spectrum 45. Therapy of Genetic Disorders Room 130 #232–#240 Disorders Hall D #7–#15 46. Pharmacogenetics: From Discovery 12. New Methods for Big Data Ballroom 103 #16–#24 to Implementation Room 123 #241–#249 13. Cancer Genetics I: Rare Variants Room 135 #25–#33 14. Quantitation and Measurement of Friday, November 9 Regulatory Oversight by the Cell Room 134 #34–#42 8:00am–10:15am: Concurrent Platform Session D (47–55): 15. New Loci for Obesity, Diabetes, and 47. Structural and Regulatory Genomic Related Traits Ballroom 104 #43–#51 Variation Hall D #250–#258 16. Neuromuscular Disease and 48. Neuropsychiatric Disorders Ballroom 103 #259–#267 Deafness Room 124 #52–#60 49. Common Variants, Rare Variants, 17. Chromosomes and Disease Room 132 #61–#69 and Everything in-Between Room 135 #268–#276 18. Prenatal and Perinatal Genetics Room 130 #70–#78 50. Population Genetics Genome-Wide Room 134 #277–#285 19. Vascular and Congenital Heart 51. Endless Forms Most Beautiful: Disease Room 123 #79–#87 Variant Discovery in Genomic Data Ballroom 104 #286–#294 52. -
Harnessing Low-Density Lipoprotein Receptor Protein 6 (LRP6) Genetic Variation and Wnt Signaling for Innovative Diagnostics in Complex Diseases
OPEN The Pharmacogenomics Journal (2018) 18, 351–358 www.nature.com/tpj REVIEW Harnessing low-density lipoprotein receptor protein 6 (LRP6) genetic variation and Wnt signaling for innovative diagnostics in complex diseases Z-M Wang1,2, J-Q Luo1,2, L-Y Xu3, H-H Zhou1,2 and W Zhang1,2 Wnt signaling regulates a broad variety of processes in both embryonic development and various diseases. Recent studies indicated that some genetic variants in Wnt signaling pathway may serve as predictors of diseases. Low-density lipoprotein receptor protein 6 (LRP6) is a Wnt co-receptor with essential functions in the Wnt/β-catenin pathway, and mutations in LRP6 gene are linked to many complex human diseases, including metabolic syndrome, cancer, Alzheimer’s disease and osteoporosis. Therefore, we focus on the role of LRP6 genetic polymorphisms and Wnt signaling in complex diseases, and the mechanisms from mouse models and cell lines. It is also highly anticipated that LRP6 variants will be applied clinically in the future. The brief review provided here could be a useful resource for future research and may contribute to a more accurate diagnosis in complex diseases. The Pharmacogenomics Journal (2018) 18, 351–358; doi:10.1038/tpj.2017.28; published online 11 July 2017 INTRODUCTION signaling pathways and expressed in various target organs.1 LDLR- The Wnt1 gene was identified in 1982. Ensuing studies in related proteins 5/6 (LRP5/6) belong to this large family and Drosophila and Xenopus unveiled a highly conserved Wnt/ function as co-receptors of the Wnt/β-catenin pathway. These β-catenin pathway, namely, canonical Wnt signaling. -
Stress-Responsive Regulation of Mitochondria Through the ER
TEM-969; No. of Pages 10 Review Stress-responsive regulation of mitochondria through the ER unfolded protein response T. Kelly Rainbolt, Jaclyn M. Saunders, and R. Luke Wiseman Department of Molecular and Experimental Medicine, Department of Chemical Physiology, The Scripps Research Institute, La Jolla, CA 92037, USA The endoplasmic reticulum (ER) and mitochondria form function is sensitive to pathologic insults that induce ER physical interactions involved in the regulation of bio- stress (defined by the increased accumulation of misfolded logic functions including mitochondrial bioenergetics proteins within the ER lumen). ER stress can be transmit- and apoptotic signaling. To coordinate these functions ted to mitochondria by alterations in the transfer of me- 2+ during stress, cells must coregulate ER and mitochon- tabolites such as Ca or by stress-responsive signaling dria through stress-responsive signaling pathways such pathways, directly influencing mitochondrial functions. as the ER unfolded protein response (UPR). Although the Depending on the extent of cellular stress, the stress UPR is traditionally viewed as a signaling pathway re- signaling from the ER to mitochondria can result in pro- sponsible for regulating ER proteostasis, it is becoming survival or proapoptotic adaptations in mitochondrial increasingly clear that the protein kinase RNA (PKR)-like function. endoplasmic reticulum kinase (PERK) signaling pathway During the early adaptive phase of ER stress, ER– 2+ within the UPR can also regulate mitochondria proteos- mitochondrial contacts increase, promoting Ca transfer 2+ tasis and function in response to pathologic insults that between these organelles [4]. This increase in Ca flux into induce ER stress. Here, we discuss the contributions of mitochondria stimulates mitochondrial metabolism 2+ PERK in coordinating ER–mitochondrial activities and through the activity of Ca -regulated dehydrogenases describe the mechanisms by which PERK adapts mito- involved in the tricarboxylic acid (TCA) cycle. -
The LRP6 Rs2302685 Polymorphism Is Associated with Increased Risk Of
Xu et al. Lipids in Health and Disease 2014, 13:94 http://www.lipidworld.com/content/13/1/94 RESEARCH Open Access The LRP6 rs2302685 polymorphism is associated with increased risk of myocardial infarction Shun Xu1,2,3, Jie Cheng1,2,3, Yu-ning Chen1,2,3, Keshen Li4, Ze-wei Ma1,2, Jin-ming Cen5, Xinguang Liu1,2,3, Xi-li Yang5, Can Chen6 and Xing-dong Xiong1,2,3* Abstract Background: Abnormal lipids is one of the critical risk factors for myocardial infarction (MI), however the role of genetic variants in lipid metabolism-related genes on MI pathogenesis still requires further investigation. We herein genotyped three SNPs (LRP6 rs2302685, LDLRAP1 rs6687605, SOAT1 rs13306731) in lipid metabolism-related genes, aimed to shed light on the influence of these SNPs on individual susceptibility to MI. Methods: Genotyping of the three SNPs (rs2302685, rs6687605 and rs13306731) was performed in 285 MI cases and 650 control subjects using polymerase chain reaction–ligation detection reaction (PCR–LDR) method. The association of these SNPs with MI and lipid profiles was performed with SPSS software. Results: Multivariate logistic regression analysis showed that C allele (OR = 1.62, P = 0.039) and the combined CT/CC genotype (OR = 1.67, P = 0.035) of LRP6 rs2302685 were associated with increased MI risk, while the other two SNPs had no significant effect. Further stratified analysis uncovered a more evident association with MI risk among younger subjects (≤60 years old). Fascinatingly, CT/CC genotype of rs2302685 conferred increased LDL-C levels compared to TT genotype (3.0 mmol/L vs 2.72 mmol/L) in younger subjects. -
LRP5 Promotes Adipose Progenitor Cell Fitness and Adipocyte Insulin Sensitivity
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.04.976647; this version posted March 5, 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. LRP5 promotes adipose progenitor cell fitness and adipocyte insulin sensitivity Short title: LRP5 and adipose tissue biology Authors: Nellie Y. Loh1, Senthil K. Vasan1, Manu Verma1, Agata Wesolowska-Andersen2, Matt J. Neville1,3, Clive Osmond4, Celia L. Gregson5, Fredrik Karpe1,3 and Constantinos Christodoulides1. Affiliations: 1 Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 7LE, UK 2 Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK 3 NIHR Oxford Biomedical Research Centre, OUH Foundation Trust, Oxford OX3 7LE, UK 4 MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Tremona Road, Southampton SO17 1BJ, UK 5 Musculoskeletal Research Unit, Translational Health Sciences, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK Address for correspondence to: Dr Constantinos Christodoulides Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Oxford OX3 7LE, UK E-mail: [email protected] Phone: +44-1865-857111 Keywords: LRP5, adipose, adipogenesis, fat distribution, WNT, human. Word count: 3964 words, 4 figures, 2 tables 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.04.976647; this version posted March 5, 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. -
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. -
(LRP5) Is Essential for Normal Cholesterol Metabolism and Glucose-Induced Insulin Secretion
Low-density lipoprotein receptor-related protein 5 (LRP5) is essential for normal cholesterol metabolism and glucose-induced insulin secretion Takahiro Fujinoa,b, Hiroshi Asabab,c, Man-Jong Kangb,d, Yukio Ikedaa,b,c, Hideyuki Sonea,b, Shinji Takadae,f,g, Dong-Ho Kima, Ryoichi X. Iokaa, Masao Onoh, Hiroko Tomoyorii, Minoru Okuboj, Toshio Murasej, Akihisa Kamatakia, Joji Yamamotoa,c, Kenta Magooria, Sadao Takahashik, Yoshiharu Miyamotoh, Hisashi Oishih, Masato Noseh, Mitsuyo Okazakil, Shinichi Usuil, Katsumi Imaizumii, Masashi Yanagisawac,m, Juro Sakaia,c,n, and Tokuo T. Yamamotoa aGene Research Center and Division of Nephrology, Endocrinology, and Vascular Medicine, Department of Medicine, Tohoku University, Sendai 980-8574, Japan; cYanagisawa Orphan Receptor Project, Exploratory Research for Advanced Technology, Japan Science and Technology Corporation, Tokyo 135-0064, Japan; dDepartment of Animal Science, College of Agriculture, Chonnam National University, Kwangju 500-600, Korea; eGraduate School of Science, Kyoto University, Kyoto 606-8502, Japan; fKondoh Differentiation Signaling Project, Exploratory Research for Advanced Technology, Japan Science and Technology Corporation, Kyoto 606-8305, Japan; gCenter for Integrative Bioscience, Okazaki, Aichi 444-8585, Japan; hDepartments of Pathology and Orthopedics, Ehime University School of Medicine, Ehime 791-0295, Japan; iLaboratory of Nutritional Chemistry, Graduate School of Agriculture, Kyusyu University, Fukuoka 812-8581, Japan; jDepartment of Endocrinology and Metabolism, Toranomon Hospital, Tokyo 105-8470, Japan; kThird Department of Internal Medicine, Fukui Medical University, Fukui 910-1193, Japan; lLaboratory of Chemistry, College of Liberal Arts and Sciences, Tokyo Medical and Dental University, Chiba 282-0827, Japan; and mHoward Hughes Medical Institute, Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX 75235-9050 Edited by Michael S. -
Astrocytic LRP1 Mediates Brain Aßclearance and Impacts Amyloid
The Journal of Neuroscience, April 12, 2017 • 37(15):4023–4031 • 4023 Neurobiology of Disease Astrocytic LRP1 Mediates Brain A Clearance and Impacts Amyloid Deposition Chia-Chen Liu,1 Jin Hu,1,3 Na Zhao,1 XJian Wang,1 Na Wang,1,3 XJohn R. Cirrito,2 Takahisa Kanekiyo,1 David M. Holtzman,2 and Guojun Bu1,3 1Department of Neuroscience, Mayo Clinic, Jacksonville, Florida 32224, 2Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St. Louis, Missouri 63110, and 3Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, College of Medicine, Xiamen University, Xiamen, Fujian, 361102 China Accumulation and deposition of amyloid- (A) in the brain represent an early and perhaps necessary step in the pathogenesis of Alzheimer’s disease (AD). A accumulation leads to the formation of A aggregates, which may directly and indirectly lead to eventual neurodegeneration. While A production is accelerated in many familial forms of early-onset AD, increasing evidence indicates that impaired clearance of A is more evident in late-onset AD. To uncover the mechanisms underlying impaired A clearance in AD, we examined the role of low-density lipoprotein receptor-related protein 1 (LRP1) in astrocytes. Although LRP1 has been shown to play critical roles in brain A metabolism in neurons and vascular mural cells, its role in astrocytes, the most abundant cell type in the brain responsible for maintaining neuronal homeostasis, remains unclear. Here, we show that astrocytic LRP1 plays a critical role in brain A clearance. LRP1 knockdown in primary astrocytes resulted in decreased cellular A uptake and degradation. -
Associations of Apolipoprotein E and Low‐Density Lipoprotein
J Periodont Res 2015; 50: 509–518 © 2014 John Wiley & Sons A/S. All rights reserved Published by John Wiley & Sons Ltd JOURNAL OF PERIODONTAL RESEARCH doi:10.1111/jre.12237 H. Gao*, Y. Tian*, H. Meng, J. Hou, Associations of L. Xu, L. Zhang, D. Shi, R. Lu, X. Feng, X. Wang, Z. Chen Department of Periodontology, Peking apolipoprotein E and University School and Hospital of Stomatology, Beijing, China low-density lipoprotein receptor-related protein 5 polymorphisms with dyslipidemia and generalized aggressive periodontitis in a Chinese population Gao H, Tian Y, Meng H, Hou J, Xu L, Zhang L, Shi D, Lu R, Feng X, Wang X, Chen Z. Associations of apolipoprotein E and low-density lipoprotein receptor- related protein 5 polymorphisms with dyslipidemia and generalized aggressive periodontitis in a Chinese population. J Periodont Res 2015; 50: 509–518. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd Background and Objective: Dyslipidemia is associated with aggressive periodonti- tis, a condition characterized by the rapid destruction of the periodontium. Apo- lipoprotein E (APOE) and low-density lipoprotein receptor-related protein 5 (LRP5) are involved in immunomodulation and inflammatory activity. We eval- uated the association of LRP5 and APOE polymorphisms with serum lipid con- centrations and generalized aggressive periodontitis within a Chinese population. Material and Methods: Mean serum lipid concentrations were compared across LRP5 and APOE polymorphisms, among cases (n = 185) and controls (n = 138). Multivariable logistic regression was used to evaluate the independent and combined associations of LRP5 and APOE polymorphisms with generalized Huanxin Meng, BDS, MS, PhD, Peking aggressive periodontitis. -
Mitochondrial Protein Quality Control Mechanisms
G C A T T A C G G C A T genes Review Mitochondrial Protein Quality Control Mechanisms Pooja Jadiya * and Dhanendra Tomar * Center for Translational Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA 19140, USA * Correspondence: [email protected] (P.J.); [email protected] (D.T.); Tel.: +1-215-707-9144 (D.T.) Received: 29 April 2020; Accepted: 15 May 2020; Published: 18 May 2020 Abstract: Mitochondria serve as a hub for many cellular processes, including bioenergetics, metabolism, cellular signaling, redox balance, calcium homeostasis, and cell death. The mitochondrial proteome includes over a thousand proteins, encoded by both the mitochondrial and nuclear genomes. The majority (~99%) of proteins are nuclear encoded that are synthesized in the cytosol and subsequently imported into the mitochondria. Within the mitochondria, polypeptides fold and assemble into their native functional form. Mitochondria health and integrity depend on correct protein import, folding, and regulated turnover termed as mitochondrial protein quality control (MPQC). Failure to maintain these processes can cause mitochondrial dysfunction that leads to various pathophysiological outcomes and the commencement of diseases. Here, we summarize the current knowledge about the role of different MPQC regulatory systems such as mitochondrial chaperones, proteases, the ubiquitin-proteasome system, mitochondrial unfolded protein response, mitophagy, and mitochondria-derived vesicles in the maintenance of mitochondrial proteome and health. The proper understanding of mitochondrial protein quality control mechanisms will provide relevant insights to treat multiple human diseases. Keywords: mitochondria; proteome; ubiquitin; proteasome; chaperones; protease; mitophagy; mitochondrial protein quality control; mitochondria-associated degradation; mitochondrial unfolded protein response 1. Introduction Mitochondria are double membrane, dynamic, and semiautonomous organelles which have several critical cellular functions. -
RISK ASSESSMENT and DIAGNOSIS for EARLY ATHEROSCLEROSIS
RISK ASSESSMENT and DIAGNOSIS for 84 EARLY ATHEROSCLEROSIS/DYSLIPIDEMIAS [Genes ] AtheroGxOne™ is a genetic test to detect mutations responsible for monogenic diseases of early atherosclerosis. • Panel genes affect plasma levels of lipids (total cholesterol, LDL, HDL, triglycerides) and blood sugar. • Targeted diseases have a high impact on cardiovascular risk since they appear at an early age and indicate poor prognosis without aggressive medical intervention. • The probability of identifying the responsible mutation in patients who meet clinical criteria of familial hypercholesterolemia ranges from 60% to 80%.1,2,3 Panel Designed For Patients Who Have Or May Have: AtheroGxOneTM Gene List • Premature coronary artery disease (men < 50 years old; women < 60 years old) ABCA1 CIDEC KLF11 PDX1 • Suspected Familial Hypercholesterolemia ABCB1 COQ2 LCAT PLIN1 • Suspected Familial Hypertriglyceridemia ABCG1 CPT2 LDLR PLTP • Mixed Hyperlipidemias ABCG5 CYP2D6 LDLRAP1 PNPLA2 • Abnormally high LDL levels or low HDL ABCG8 CYP3A4 LEP PPARA • Maturity-Onset Diabetes of the Young (MODY) AGPAT2 CYP3A5 LIPA PPARG AKT2 EIF2AK3 LIPC PTF1A AMPD1 FOXP3 LMF1 PTRF ANGPTL3 GATA6 LMNA PYGM APOA1 GCK LPA RFX6 APOA5 GLIS3 LPL RYR1 APOB GPD1 LRP6 SAR1B APOC2 GPIHBP1 MEF2A SCARB1 APOC3 HNF1A MTTP SLC22A8 APOE HNF1B MYLIP SLC25A40 BLK HNF4A NEUROD1 SLC2A2 BSCL2 IER3IP1 NEUROG3 SLCO1B1 CAV1 INS NPC1L1 TBC1D4 CEL INSIG2 PAX4 TRIB1 CETP INSR PCDH15 WFS1 Atherosclerosis is defined as the buildup of plaque within arteries CH25H KCNJ11 PCSK9 ZMPSTE24 that can lead to heart attack, stroke, or even death. Approximately, 5% of cardiac arrests in individuals younger than 60 years old can be attributed to genetic mutations included in this panel; this number rises up to 20% in individuals younger than 45 years old.4,5 1.