Association of a Matrix Metallopeptidase 1 Gene Polymorphism with Long-Term Outcome of Thoracic Aortic Aneurysm
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The Airway Epithelium Undergoes Metabolic Reprogramming in Individuals at High Risk for Lung Cancer
The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer S.M. Jamshedur Rahman, … , Jamey D. Young, Pierre P. Massion JCI Insight. 2016;1(19):e88814. https://doi.org/10.1172/jci.insight.88814. Research Article Metabolism Oncology The molecular determinants of lung cancer risk remain largely unknown. Airway epithelial cells are prone to assault by risk factors and are considered to be the primary cell type involved in the field of cancerization. To investigate risk- associated changes in the bronchial epithelium proteome that may offer new insights into the molecular pathogenesis of lung cancer, proteins were identified in the airway epithelial cells of bronchial brushing specimens from risk-stratified individuals by shotgun proteomics. Differential expression of selected proteins was validated by parallel reaction monitoring mass spectrometry in an independent set of individual bronchial brushings. We identified 2,869 proteins, of which 312 proteins demonstrated a trend in expression. Pathway analysis revealed enrichment of carbohydrate metabolic enzymes in high-risk individuals. Glucose consumption and lactate production were increased in human bronchial epithelial BEAS2B cells treated with cigarette smoke condensate for 7 months. Increased lipid biosynthetic capacity and 13 net reductive carboxylation were revealed by metabolic flux analyses of [U- C5] glutamine in this in vitro model, suggesting profound metabolic reprogramming in the airway epithelium of high-risk individuals. These results provide a rationale for the development of potentially new chemopreventive strategies and selection of patients for surveillance programs. Find the latest version: https://jci.me/88814/pdf RESEARCH ARTICLE The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer S.M. -
NIH Public Access Author Manuscript Reprod Biomed Online
NIH Public Access Author Manuscript Reprod Biomed Online. Author manuscript; available in PMC 2014 October 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Reprod Biomed Online. 2013 October ; 27(4): 423–435. doi:10.1016/j.rbmo.2013.06.013. The human oviduct transcriptome reveals an anti-inflammatory, anti-angiogenic, secretory and matrix-stable environment during embryo transit AP Hessa,b, S Talbia, AE Hamiltona, DM Baston-Buestb, M Nyegaarda, JC Irwind, F Barragand, JS Kruesselb, A Germeyera,c, and LC Giudicea,d,* aDepartment of Gynecology and Obstetrics, Stanford University Medical School, California, USA bUniversity of Dusseldorf, Medical Faculty, Department of Gynecology, Obstetrics and REI (UniKiD), Dusseldorf, Germany cDepartment of Gynecological Endocrinology and Reproductive Medicine, University Medical Center, Heidelberg, Germany Abstract The human oviduct serves as a conduit for spermatozoa in the periovulatory phase and nurtures and facilitates transport of the developing embryo for nidation during the luteal phase. Interactions between the embryo and oviductal epithelial surface proteins and secreted products during embryo transit are largely undefined. This study investigated gene expression in the human oviduct in the early luteal versus follicular phases to identify candidate genes and biomolecular processes that may participate in maturation and transport of the embryo as it traverses this tissue. Oviductal RNA was hybridized to oligonucleotide arrays and resulting data were analysed by bioinformatic approaches. There were 650 genes significantly down-regulated and 683 genes significantly up- regulated (P < 0.05) in the luteal versus follicular phase. Quantitative real-time PCR, immunoblot analysis and immunohistochemistry confirmed selected gene expression and cellular protein localization. -
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. -
Adaptation to Hif1α Deletion in Hypoxic Cancer Cells by Upregulation of GLUT14 and Creatine Metabolism
Published OnlineFirst March 18, 2019; DOI: 10.1158/1541-7786.MCR-18-0315 Metabolism Molecular Cancer Research Adaptation to HIF1a Deletion in Hypoxic Cancer Cells by Upregulation of GLUT14 and Creatine Metabolism Alessandro Valli1,2, Matteo Morotti1, Christos E. Zois1, Patrick K. Albers3, Tomoyoshi Soga4, Katharina Feldinger1, Roman Fischer2, Martin Frejno2, Alan McIntyre1, Esther Bridges1, Syed Haider1, Francesca M. Buffa1, Dilair Baban3, Miguel Rodriguez5,6, Oscar Yanes5,6, Hannah J. Whittington7, Hannah A. Lake7, Sevasti Zervou7, Craig A. Lygate7, Benedikt M. Kessler2, and Adrian L. Harris1 Abstract Hypoxia-inducible factor 1a is a key regulator of the than phosphofructokinase. Furthermore, glucose uptake hypoxia response in normal and cancer tissues. It is well could be maintained in hypoxia through upregulation of recognized to regulate glycolysis and is a target for therapy. GLUT14, not previously recognized in this role. Finally, However, how tumor cells adapt to grow in the absence of there was a marked adaptation and change of phospho- HIF1a is poorly understood and an important concept to creatine energy pathways, which made the cells susceptible understand for developing targeted therapies is the flexi- to inhibition of creatine metabolism in hypoxic condi- bility of the metabolic response to hypoxia via alternative tions. Overall, our studies show a complex adaptation to pathways. We analyzed pathways that allow cells to survive hypoxia that can bypass HIF1a, but it is targetable and it hypoxic stress in the absence of HIF1a,usingtheHCT116 provides new insight into the key metabolic pathways colon cancer cell line with deleted HIF1a versus control. involved in cancer growth. Spheroids were used to provide a 3D model of metabolic gradients. -
The Interactome of KRAB Zinc Finger Proteins Reveals the Evolutionary History of Their Functional Diversification
Resource The interactome of KRAB zinc finger proteins reveals the evolutionary history of their functional diversification Pierre-Yves Helleboid1,†, Moritz Heusel2,†, Julien Duc1, Cécile Piot1, Christian W Thorball1, Andrea Coluccio1, Julien Pontis1, Michaël Imbeault1, Priscilla Turelli1, Ruedi Aebersold2,3,* & Didier Trono1,** Abstract years ago (MYA) (Imbeault et al, 2017). Their products harbor an N-terminal KRAB (Kru¨ppel-associated box) domain related to that of Krüppel-associated box (KRAB)-containing zinc finger proteins Meisetz (a.k.a. PRDM9), a protein that originated prior to the diver- (KZFPs) are encoded in the hundreds by the genomes of higher gence of chordates and echinoderms, and a C-terminal array of zinc vertebrates, and many act with the heterochromatin-inducing fingers (ZNF) with sequence-specific DNA-binding potential (Urru- KAP1 as repressors of transposable elements (TEs) during early tia, 2003; Birtle & Ponting, 2006; Imbeault et al, 2017). KZFP genes embryogenesis. Yet, their widespread expression in adult tissues multiplied by gene and segment duplication to count today more and enrichment at other genetic loci indicate additional roles. than 350 and 700 representatives in the human and mouse Here, we characterized the protein interactome of 101 of the ~350 genomes, respectively (Urrutia, 2003; Kauzlaric et al, 2017). A human KZFPs. Consistent with their targeting of TEs, most KZFPs majority of human KZFPs including all primate-restricted family conserved up to placental mammals essentially recruit KAP1 and members target sequences derived from TEs, that is, DNA trans- associated effectors. In contrast, a subset of more ancient KZFPs posons, ERVs (endogenous retroviruses), LINEs, SINEs (long and rather interacts with factors related to functions such as genome short interspersed nuclear elements, respectively), or SVAs (SINE- architecture or RNA processing. -
Histone Methyltransferase Smyd1 Regulates Mitochondrial Energetics in the Heart
Histone methyltransferase Smyd1 regulates mitochondrial energetics in the heart Junco S. Warrena,b,1, Christopher M. Tracya, Mickey R. Millera, Aman Makajua, Marta W. Szulika, Shin-ichi Okac, Tatiana N. Yuzyukd,e, James E. Coxf,g, Anil Kumarh, Bucky K. Loziere, Li Wanga, June García Llanaa, Amira D. Sabrya, Keiko M. Cawleya, Dane W. Bartonb, Yong Hwan Hani, Sihem Boudinaj, Oliver Fiehnk,l, Haley O. Tuckerm,n, Alexey V. Zaitseva,o, and Sarah Franklina,b,g aNora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112; bDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84102; cDepartment of Cell Biology and Molecular Medicine, Rutgers New Jersey Medical School, Newark, NJ 07103; dDepartment of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84103; eAssociated Regional and University Pathologists, Inc. Laboratories, Salt Lake City, UT 84108; fMetabolomics Core Research Facility, University of Utah, Salt Lake City, UT 84112; gDepartment of Biochemistry, University of Utah, Salt Lake City, UT 84112; hMetabolic Phenotyping Core Facility, University of Utah, Salt Lake City, UT 84112; iMasonic Cancer Center, University of Minnesota, Minneapolis, MN 55455; jDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112; kGenome Center-Metabolomics, University of California, Davis, CA 95616; lBiochemistry Department, King Abdulaziz University, 21589 Jeddah, Saudi Arabia; mDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712; nThe Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712; and oDepartment of Bioengineering, University of Utah, Salt Lake City, UT 84112 Edited by Gerald I. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(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 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Identification of Novel Alleles Associated with Insulin Resistance In
OPEN International Journal of Obesity (2018) 42, 686–695 www.nature.com/ijo PEDIATRIC ORIGINAL ARTICLE Identification of novel alleles associated with insulin resistance in childhood obesity using pooled-DNA genome-wide association study approach P Kotnik1,7, E Knapič1,2,7, J Kokošar3, J Kovač4, R Jerala5, T Battelino1,6 and S Horvat2,5 BACKGROUND: Recently, we witnessed great progress in the discovery of genetic variants associated with obesity and type 2 diabetes (T2D), especially in adults. Much less is known regarding genetic variants associated with insulin resistance (IR). We hypothesized that novel IR genes could be efficiently detected in a population of obese children and adolescents who may not exhibit comorbidities and other confounding factors. OBJECTIVES: This study aimed to determine whether a genome-wide association study (GWAS), using a DNA-pooling approach, could identify novel genes associated with IR. SUBJECTS: The pooled-DNA GWAS analysis included Slovenian obese children and adolescents with and without IR matched for body mass index, gender and age. A replication study was conducted in another independent cohort with or without IR. METHODS: For the pooled-DNA GWAS, we used HumanOmni5-Quad SNP array (Illumina). Allele frequency distributions were compared with modified t-tests and χ2-tests and ranked using PLINK. Top single nucleotide polymorphisms (SNPs) were validated using individual genotyping by high-resolution melting analysis and TaqMan assay. RESULTS: We identified five top-ranking SNPs from the pooled-DNA GWAS analysis within the ECE1, IL1R2, GNPDA1, HLA-J and PYGB loci. All except SNP rs9261108 (HLA-J locus) were confirmed in the validation phase using individual genotyping. -
DIPPER, a Spatiotemporal Proteomics Atlas of Human Intervertebral Discs
TOOLS AND RESOURCES DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics Vivian Tam1,2†, Peikai Chen1†‡, Anita Yee1, Nestor Solis3, Theo Klein3§, Mateusz Kudelko1, Rakesh Sharma4, Wilson CW Chan1,2,5, Christopher M Overall3, Lisbet Haglund6, Pak C Sham7, Kathryn Song Eng Cheah1, Danny Chan1,2* 1School of Biomedical Sciences, , The University of Hong Kong, Hong Kong; 2The University of Hong Kong Shenzhen of Research Institute and Innovation (HKU-SIRI), Shenzhen, China; 3Centre for Blood Research, Faculty of Dentistry, University of British Columbia, Vancouver, Canada; 4Proteomics and Metabolomics Core Facility, The University of Hong Kong, Hong Kong; 5Department of Orthopaedics Surgery and Traumatology, HKU-Shenzhen Hospital, Shenzhen, China; 6Department of Surgery, McGill University, Montreal, Canada; 7Centre for PanorOmic Sciences (CPOS), The University of Hong Kong, Hong Kong Abstract The spatiotemporal proteome of the intervertebral disc (IVD) underpins its integrity *For correspondence: and function. We present DIPPER, a deep and comprehensive IVD proteomic resource comprising [email protected] 94 genome-wide profiles from 17 individuals. To begin with, protein modules defining key †These authors contributed directional trends spanning the lateral and anteroposterior axes were derived from high-resolution equally to this work spatial proteomes of intact young cadaveric lumbar IVDs. They revealed novel region-specific Present address: ‡Department profiles of regulatory activities -
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. -
Insulin Resistance Related Signaling Pathways in the Liver
INSULIN RESISTANCE RELATED SIGNALING PATHWAYS IN THE LIVER by Yuchun Wang A thesis submitted to Johns Hopkins University in conformity with the requirements for the degree of Master of Science in Engineering Baltimore, Maryland May, 2020 © 2020 Yuchun Wang All rights reserved Abstract Over the past 20 years, the worldwide toll of diabetes has tripled to more than 400 million, which makes it one of the fastest-growing health challenges of the 21st century. There are three main categories of diabetes: type 1, type 2 and gestational diabetes mellitus. Among them, Type 2 diabetes(T2D) makes up to 90% of diabetes worldwide. Hyper- glycemia can be effectively controlled by giving insulin injection for type 1 and gestational diabetes mellitus. However, because insulin resistance is one of the causes of T2D, those with T2D do not respond as well to insulin as those with T1D or gestational diabetes. Fur- thermore, our lack of knowledge about the underlying physiology of T2D makes it difficult to find reliable treatments. While high blood glucose concentration is one of the major symptoms of T2D, changes in lipid metabolism are characteristic of insulin resistance(IR). In the human body, the liver plays a major role in glucose homeostasis and lipid metabolism. Hence, this essay pro- vides an overview of signaling pathways in the liver and presents their interrelationship to better understand the underlying IR mechanism. Primary Reader and Advisor: Marc D. Donohue Secondary Reader: Gregory Aranovich ii Acknowledgements I wish to express my deepest gratitude to my advisor, Professor Marc D. Donohue, for introducing me to the fantastic world of science, and for his patient guidance along the road of my Master’s study. -
Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus Dromedarius
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications from the Department of Electrical & Computer Engineering, Department Electrical and Computer Engineering of 2009 Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus dromedarius Abdulaziz M. Al-Swailem King Abdulaziz City for Science and Technology Maher M. Shehata King Abdulaziz City for Science and Technology Faisel M. Abu-Duhier King Abdulaziz City for Science and Technology Essam J. Al-Yamani King Abdulaziz City for Science and Technology Khalid A. Al-Busadah King Faisal University See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/electricalengineeringfacpub Part of the Computer Engineering Commons, and the Electrical and Computer Engineering Commons Al-Swailem, Abdulaziz M.; Shehata, Maher M.; Abu-Duhier, Faisel M.; Al-Yamani, Essam J.; Al-Busadah, Khalid A.; Al-Arawi, Mohammed S.; Al-Khider, Ali Y.; Al-Muhaimeed, Abdullah N.; Al-Qahtani, Fahad H.; Manee, Manee M.; Al-Shomrani, Badr M.; Al-Qhtani, Saad M.; Al-Harthi, Amer S.; Akdemir, Kadir C.; Inan, Mehmet S.; and Otu, Hasan H., "Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus dromedarius" (2009). Faculty Publications from the Department of Electrical and Computer Engineering. 426. https://digitalcommons.unl.edu/electricalengineeringfacpub/426 This Article is brought to you for free and open access by the Electrical & Computer Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Faculty Publications from the Department of Electrical and Computer Engineering by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Abdulaziz M. Al-Swailem, Maher M.