Genome-Wide Association Studies Identify Genetic Loci Associated With
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Genome-Wide Association Studies Identify Genetic Loci Associated With
SUPPLEMENTARY DATA Genome-wide Association Studies Identify Genetic Loci Associated with Albuminuria in Diabetes SUPPLEMENTAL MATERIALS This work is dedicated to the memory of our colleague Dr. Wen Hong Linda Kao, a wonderful person, brilliant scientist and central member of the CKDGen Consortium. 1 ©2016 American Diabetes Association. Published online at http://diabetes.diabetesjournals.org/lookup/suppl/doi:10.2337/db15-1313/-/DC1 SUPPLEMENTARY DATA Table of Contents SUPPLEMENTARY FIGURE 1: QQ PLOTS FOR ALL GWAS META-ANALYSES ............................................. 3 SUPPLEMENTARY FIGURE 2: MANHATTAN PLOTS FOR ALL GWAS META-ANALYSES ............................. 4 SUPPLEMENTARY FIGURE 3: REGIONAL ASSOCIATION PLOTS............................................................... 6 SUPPLEMENTARY FIGURE 4: EVALUATION OF GLOMERULOSCLEROSIS IN RAB38 KO, CONGENIC AND TRANSGENIC RATS. ........................................................................................................................... 17 SUPPLEMENTARY TABLE 1: CHARACTERISTICS OF THE STUDY POPULATIONS ..................................... 18 SUPPLEMENTARY TABLE 2: INFORMATION ABOUT STUDY DESIGN AND UACR MEASUREMENT .......... 20 SUPPLEMENTARY TABLE 3: STUDY-SPECIFIC INFORMATION ABOUT GENOTYPING, IMPUTATION AND DATA MANAGEMENT AND ANALYSIS ................................................................................................ 31 SUPPLEMENTARY TABLE 4: SNPS ASSOCIATED WITH UACR AMONG ALL INDIVIDUALS WITH A P-VALUE OF <1E-05. ....................................................................................................................................... -
Oocyte Aneuploidy—More Tools to Tackle an Old Problem
COMMENTARY Oocyte aneuploidy—more tools to tackle an old problem COMMENTARY Chris Lodgea and Mary Herberta,1 Meiosis generates a single-copy genome during two centromeric cohesin enables sister centromeres to successive rounds of cell division after a single round biorient on the meiosis II spindle (2, 5). Upon cleavage of DNA replication. Failure to transmit exactly one of centromeric cohesin, dyads are converted to single copy of each chromosome during fertilization gives chromatids, which segregate equationally to opposite rise to aneuploid embryos resulting in infertility and poles of the meiosis II spindle. Protection of a centro- congenital abnormalities such as Down’s syndrome. meric cohesin by Shugoshin proteins (SGOL2 in mam- Aneuploidy attributable to meiotic errors is over- mals) until the onset of anaphase II is essential for whelming due to chromosome segregation errors dur- orderly segregation of chromatids (7, 8). In oocytes, ing female meiosis, and the incidence of these both meiotic divisions are highly asymmetrical, giving increases dramatically as women get older (1, 2). Be- rise to two small nonviable polar bodies (Fig. 1). cause the oocyte is the only viable product of female Consistent with previous studies (9), Tyc et al. (3) meiosis, our understanding of predisposing events in found that only a tiny fraction (<1%) of meiotic errors human oocytes relies largely on inferences from ge- are of paternal origin. Compared with males, the es- netic studies in cases of trisomy and on analysis of tablishment and maintenance of bivalent chromo- oocytes obtained from in vitro fertilization clinics. somes are compromised in female meiosis. In females, Progress toward understanding the underlying mech- there is a greater risk of homologs failing to form cross- anisms has been hampered by a paucity of informa- overs, or of forming them in precarious positions that are tion on the outcome of both meiotic divisions. -
Mutational Inactivation of STAG2 Causes Aneuploidy in Human Cancer
REPORTS mean difference for all rubric score elements was ing becomes a more commonly supported facet 18. C. L. Townsend, E. Heit, Mem. Cognit. 39, 204 (2011). rejected. Univariate statistical tests of the observed of STEM graduate education then students’ in- 19. D. F. Feldon, M. Maher, B. Timmerman, Science 329, 282 (2010). mean differences between the teaching-and- structional training and experiences would alle- 20. B. Timmerman et al., Assess. Eval. High. Educ. 36,509 research and research-only conditions indicated viate persistent concerns that current programs (2011). significant results for the rubric score elements underprepare future STEM faculty to perform 21. No outcome differences were detected as a function of “testability of hypotheses” [mean difference = their teaching responsibilities (28, 29). the type of teaching experience (TA or GK-12) within the P sample population participating in both research and 0.272, = 0.006; CI = (.106, 0.526)] with the null teaching. hypothesis rejected in 99.3% of generated data References and Notes 22. Materials and methods are available as supporting samples (Fig. 1) and “research/experimental de- 1. W. A. Anderson et al., Science 331, 152 (2011). material on Science Online. ” P 2. J. A. Bianchini, D. J. Whitney, T. D. Breton, B. A. Hilton-Brown, 23. R. L. Johnson, J. Penny, B. Gordon, Appl. Meas. Educ. 13, sign [mean difference = 0.317, = 0.002; CI = Sci. Educ. 86, 42 (2001). (.106, 0.522)] with the null hypothesis rejected in 121 (2000). 3. C. E. Brawner, R. M. Felder, R. Allen, R. Brent, 24. R. J. A. Little, J. -
Molecular Markers of Serine Protease Evolution
The EMBO Journal Vol. 20 No. 12 pp. 3036±3045, 2001 Molecular markers of serine protease evolution Maxwell M.Krem and Enrico Di Cera1 ment and specialization of the catalytic architecture should correspond to signi®cant evolutionary transitions in the Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, Box 8231, St Louis, history of protease clans. Evolutionary markers encoun- MO 63110-1093, USA tered in the sequences contributing to the catalytic apparatus would thus give an account of the history of 1Corresponding author e-mail: [email protected] an enzyme family or clan and provide for comparative analysis with other families and clans. Therefore, the use The evolutionary history of serine proteases can be of sequence markers associated with active site structure accounted for by highly conserved amino acids that generates a model for protease evolution with broad form crucial structural and chemical elements of applicability and potential for extension to other classes of the catalytic apparatus. These residues display non- enzymes. random dichotomies in either amino acid choice or The ®rst report of a sequence marker associated with serine codon usage and serve as discrete markers for active site chemistry was the observation that both AGY tracking changes in the active site environment and and TCN codons were used to encode active site serines in supporting structures. These markers categorize a variety of enzyme families (Brenner, 1988). Since serine proteases of the chymotrypsin-like, subtilisin- AGY®TCN interconversion is an uncommon event, it like and a/b-hydrolase fold clans according to phylo- was reasoned that enzymes within the same family genetic lineages, and indicate the relative ages and utilizing different active site codons belonged to different order of appearance of those lineages. -
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. -
A Gene Expression Resource Generated by Genome-Wide Lacz
© 2015. Published by The Company of Biologists Ltd | Disease Models & Mechanisms (2015) 8, 1467-1478 doi:10.1242/dmm.021238 RESOURCE ARTICLE A gene expression resource generated by genome-wide lacZ profiling in the mouse Elizabeth Tuck1,**, Jeanne Estabel1,*,**, Anika Oellrich1, Anna Karin Maguire1, Hibret A. Adissu2, Luke Souter1, Emma Siragher1, Charlotte Lillistone1, Angela L. Green1, Hannah Wardle-Jones1, Damian M. Carragher1,‡, Natasha A. Karp1, Damian Smedley1, Niels C. Adams1,§, Sanger Institute Mouse Genetics Project1,‡‡, James N. Bussell1, David J. Adams1, Ramiro Ramırez-Soliś 1, Karen P. Steel1,¶, Antonella Galli1 and Jacqueline K. White1,§§ ABSTRACT composite of RNA-based expression data sets. Strong agreement was observed, indicating a high degree of specificity in our data. Knowledge of the expression profile of a gene is a critical piece of Furthermore, there were 1207 observations of expression of a information required to build an understanding of the normal and particular gene in an anatomical structure where Bgee had no essential functions of that gene and any role it may play in the data, indicating a large amount of novelty in our data set. development or progression of disease. High-throughput, large- Examples of expression data corroborating and extending scale efforts are on-going internationally to characterise reporter- genotype-phenotype associations and supporting disease gene tagged knockout mouse lines. As part of that effort, we report an candidacy are presented to demonstrate the potential of this open access adult mouse expression resource, in which the powerful resource. expression profile of 424 genes has been assessed in up to 47 different organs, tissues and sub-structures using a lacZ reporter KEY WORDS: Gene expression, lacZ reporter, Mouse, Resource gene. -
Bioinformatic Analysis Suggests That UGT2B15 Activates the Hippo‑YAP Signaling Pathway Leading to the Pathogenesis of Gastric Cancer
ONCOLOGY REPORTS 40: 1855-1862, 2018 Bioinformatic analysis suggests that UGT2B15 activates the Hippo‑YAP signaling pathway leading to the pathogenesis of gastric cancer XUANMIN CHEN1*, DEFENG LI4,5*, NANNAN WANG1*, MEIFENG YANG2*, AIJUN LIAO1*, SHULING WANG3*, GUANGSHENG HU1, BING ZENG1, YUHONG YAO1, DIQUN LIU1, HAN LIU1, WEIWEI ZHOU1, WEISHENG XIAO1, PEIYUAN LI1, CHEN MING1, SONG PING2, PINGFANG CHEN1, LI JING1, YU BAI3 and JUN YAO4 Departments of 1Gastroenterology and 2Hematology, The First Affiliated Hospital of University of South China, University of South China, Hengyang, Hunan 421001; 3Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai 200433; 4Department of Gastroenterology, The 2nd Clinical Μedicine College (Shenzhen People's Hospital) of Jinan University, Shenzhen, Guangdong 518020; 5Integrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, Guangdong 510632, P.R. China Received November 30, 2017; Accepted May 25, 2018 DOI: 10.3892/or.2018.6604 Abstract. Gastric cancer (GC) is one of the most common development of GC. Taken together, our findings demonstrate malignancies that threatens human health. As the molecular that UGT2B15 may be an oncogene in GC and is a promising mechanisms unerlying GC are not completely understood, therapeutic target for cancer treatment. identification of genes related to GC could provide new insights into gene function as well as potential treatment targets. We Introduction discovered that UGT2B15 may contribute to the pathogenesis and progression of GC using GEO data and bioinformatic Gastric cancer (GC) is a type of malignant digestive tract analysis. Using TCGA data, UGT2B15 mRNA was found to be tumor with a poor prognosis. GLOBOCAN 2015 reported GC significantly overexpressed in GC tissues; patients with higher as the third leading cause of cancer-related mortality in the UGT2B15 had a poorer prognosis. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Methionine Aminopeptidase Emerging Role in Angiogenesis
Chapter 2 Methionine Aminopeptidase Emerging role in angiogenesis Joseph A. Vetro1, Benjamin Dummitt2, and Yie-Hwa Chang2 1Department of Pharmaceutical Chemistry, University of Kansas, 2095 Constant Ave., Lawrence, KS 66047, USA. 2Edward A. Doisy Department of Biochemistry and Molecular Biology, St. Louis University Health Sciences Center, 1402 S. Grand Blvd., St. Louis, MO 63104, USA. Abstract: Angiogenesis, the formation of new blood vessels from existing vasculature, is a key factor in a number of vascular-related pathologies such as the metastasis and growth of solid tumors. Thus, the inhibition of angiogenesis has great potential as a therapeutic modality in the treatment of cancer and other vascular-related diseases. Recent evidence suggests that the inhibition of mammalian methionine aminopeptidase type 2 (MetAP2) catalytic activity in vascular endothelial cells plays an essential role in the pharmacological activity of the most potent small molecule angiogenesis inhibitors discovered to date, the fumagillin class. Methionine aminopeptidase (MetAP, EC 3.4.11.18) catalyzes the non-processive, co-translational hydrolysis of initiator N-terminal methionine when the second residue of the nascent polypeptide is small and uncharged. Initiator Met removal is a ubiquitous and essential modification. Indirect evidence suggests that removal of initiator Met by MetAP is important for the normal function of many proteins involved in DNA repair, signal transduction, cell transformation, secretory vesicle trafficking, and viral capsid assembly and infection. Currently, much effort is focused on understanding the essential nature of methionine aminopeptidase activity and elucidating the role of methionine aminopeptidase type 2 catalytic activity in angiogenesis. In this chapter, we give an overview of the MetAP proteins, outline the importance of initiator Met hydrolysis, and discuss the possible mechanism(s) through which MetAP2 inhibition by the fumagillin class of angiogenesis inhibitors leads to cytostatic growth arrest in vascular endothelial cells. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family.