Identification of a Novel Deletion in SURF1 Gene
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Ncomms8214.Pdf
ARTICLE Received 20 Feb 2015 | Accepted 17 Apr 2015 | Published 26 May 2015 DOI: 10.1038/ncomms8214 OPEN Comprehensive survey of condition-specific reproductive isolation reveals genetic incompatibility in yeast Jing Hou1, Anne Friedrich1, Jean-Sebastien Gounot1 & Joseph Schacherer1 Genetic variation within a species could cause negative epistasis leading to reduced hybrid fitness and post-zygotic reproductive isolation. Recent studies in yeasts revealed chromo- somal rearrangements as a major mechanism dampening intraspecific hybrid fertility on rich media. Here, by analysing a large number of Saccharomyces cerevisiae crosses on different culture conditions, we show environment-specific genetic incompatibility segregates readily within yeast and contributes to reproductive isolation. Over 24% (117 out of 481) of cases tested show potential epistasis, among which 6.7% (32 out of 481) are severe, with at least 20% of progeny loss on tested conditions. Based on the segregation patterns, we further characterize a two-locus Dobzhansky–Mu¨ller incompatibility case leading to offspring respiratory deficiency caused by nonsense mutation in a nuclear-encoding mitochondrial gene and tRNA suppressor. We provide evidence that this precise configuration could be adaptive in fluctuating environments, highlighting the role of ecological selection in the onset of genetic incompatibility and reproductive isolation in yeast. 1 Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS, UMR7156, 28 rue Goethe, 67083 Strasbourg, France. Correspondence -
Alterations of Genetic Variants and Transcriptomic Features of Response to Tamoxifen in the Breast Cancer Cell Line
Alterations of Genetic Variants and Transcriptomic Features of Response to Tamoxifen in the Breast Cancer Cell Line Mahnaz Nezamivand-Chegini Shiraz University Hamed Kharrati-Koopaee Shiraz University https://orcid.org/0000-0003-2345-6919 seyed taghi Heydari ( [email protected] ) Shiraz University of Medical Sciences https://orcid.org/0000-0001-7711-1137 Hasan Giahi Shiraz University Ali Dehshahri Shiraz University of Medical Sciences Mehdi Dianatpour Shiraz University of Medical Sciences Kamran Bagheri Lankarani Shiraz University of Medical Sciences Research Keywords: Tamoxifen, breast cancer, genetic variants, RNA-seq. Posted Date: August 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-783422/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/33 Abstract Background Breast cancer is one of the most important causes of mortality in the world, and Tamoxifen therapy is known as a medication strategy for estrogen receptor-positive breast cancer. In current study, two hypotheses of Tamoxifen consumption in breast cancer cell line (MCF7) were investigated. First, the effect of Tamoxifen on genes expression prole at transcriptome level was evaluated between the control and treated samples. Second, due to the fact that Tamoxifen is known as a mutagenic factor, there may be an association between the alterations of genetic variants and Tamoxifen treatment, which can impact on the drug response. Methods In current study, the whole-transcriptome (RNA-seq) dataset of four investigations (19 samples) were derived from European Bioinformatics Institute (EBI). At transcriptome level, the effect of Tamoxifen was investigated on gene expression prole between control and treatment samples. -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
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 -
Supplementary Data Table 1. Genes Upregulated in N-Myc-Overexpressing Mouse Mac1+/Gr1+ BM Cells
Supplementary Data Table 1. Genes upregulated in N-Myc-overexpressing mouse Mac1+/Gr1+ BM cells Probeset C-myc / N-myc / N-myc / C- Gene Title Representative 430v2 Vector Fold Vector Fold myc Fold Public ID Change Change Change 1435368_a_at 2.3 4.6 2.1 poly (ADP-ribose) polymerase family, member 1 BB767586 1455648_at 1.3 3.0 2.1 similar to reduced expression 2 /// similar to reduced expression 2 BG244780 1438973_x_at 2.5 9.8 4.0 gap junction membrane channel protein alpha 1 BB043407 1419915_at 2.0 3.0 2.1 DNA segment, Chr 10, ERATO Doi 438, expressed AW538011 1454842_a_at 1.6 4.0 2.3 UDP-GalNAc:betaGlcNAc beta 1,3-galactosaminyltransferase, AI853240 polypeptide 2 1436704_x_at 2.1 9.2 3.2 methylenetetrahydrofolate dehydrogenase (NADP+ dependent), AV215673 methenyltetrahydrofolate cyclohydrolase, formyltetrahydrofolate synthase 1423142_a_at 2.0 2.5 2.1 GTP binding protein 4 AI987834 1420043_s_at 2.5 5.7 2.8 THO complex 1 AW107924 1439444_x_at 1.5 4.3 2.5 transmembrane emp24-like trafficking protein 10 (yeast) /// similar to AV213456 transmembrane trafficking protein 1438610_a_at 1.9 4.9 2.3 Crystallin, zeta BB793369 1434291_a_at 2.5 4.3 2.8 small EDRK-rich factor 1 AA709993 1422716_a_at 2.8 6.5 2.6 acid phosphatase 1, soluble AW554436 1447895_x_at -1.3 2.3 2.6 PAN3 polyA specific ribonuclease subunit homolog (S. cerevisiae) AV368189 1434097_at 1.5 3.2 2.5 Transcribed locus BM218328 1420982_at 1.1 3.5 2.6 RNA-binding region (RNP1, RRM) containing 2 NM_133242 1433853_at 2.6 7.5 2.6 mindbomb homolog 1 (Drosophila) BG063791 1419824_a_at 1.6 4.0 2.1 RIKEN cDNA A230062G08 gene AI875121 1453797_at 7.5 14.9 2.1 phosphatase, orphan 2 AK010147 1440803_x_at 2.3 4.0 2.3 tachykinin receptor 3 BB498416 1455737_at -2.0 1.1 2.8 RIKEN cDNA C030002B11 gene AU040848 1450954_at -1.5 2.8 4.6 YME1-like 1 (S. -
Supplementary Methods
Supplementary methods Human lung tissues and tissue microarray (TMA) All human tissues were obtained from the Lung Cancer Specialized Program of Research Excellence (SPORE) Tissue Bank at the M.D. Anderson Cancer Center (Houston, TX). A collection of 26 lung adenocarcinomas and 24 non-tumoral paired tissues were snap-frozen and preserved in liquid nitrogen for total RNA extraction. For each tissue sample, the percentage of malignant tissue was calculated and the cellular composition of specimens was determined by histological examination (I.I.W.) following Hematoxylin-Eosin (H&E) staining. All malignant samples retained contained more than 50% tumor cells. Specimens resected from NSCLC stages I-IV patients who had no prior chemotherapy or radiotherapy were used for TMA analysis by immunohistochemistry. Patients who had smoked at least 100 cigarettes in their lifetime were defined as smokers. Samples were fixed in formalin, embedded in paraffin, stained with H&E, and reviewed by an experienced pathologist (I.I.W.). The 413 tissue specimens collected from 283 patients included 62 normal bronchial epithelia, 61 bronchial hyperplasias (Hyp), 15 squamous metaplasias (SqM), 9 squamous dysplasias (Dys), 26 carcinomas in situ (CIS), as well as 98 squamous cell carcinomas (SCC) and 141 adenocarcinomas. Normal bronchial epithelia, hyperplasia, squamous metaplasia, dysplasia, CIS, and SCC were considered to represent different steps in the development of SCCs. All tumors and lesions were classified according to the World Health Organization (WHO) 2004 criteria. The TMAs were prepared with a manual tissue arrayer (Advanced Tissue Arrayer ATA100, Chemicon International, Temecula, CA) using 1-mm-diameter cores in triplicate for tumors and 1.5 to 2-mm cores for normal epithelial and premalignant lesions. -
Light and Electron Microscopy Characteristics of the Muscle Of
Original article J Clin Pathol: first published as 10.1136/jcp.2007.051060 on 1 October 2007. Downloaded from Light and electron microscopy characteristics of the muscle of patients with SURF1 gene mutations associated with Leigh disease M Pronicki,1 E Matyja,2 D Piekutowska-Abramczuk,3 T Szyman´ska-De˛bin´ska,1 A Karkucin´ska-Wie˛ckowska,1 E Karczmarewicz,4 W Grajkowska,1 T Kmiec´,5 E Popowska,3 J Sykut-Cegielska6 1 Department of Pathology, ABSTRACT complex IV (cytochrome c oxidase (COX)) has The Children’s Memorial Health Aims: Leigh syndrome (LS) is characterised by almost been confirmed in humans.34 The SURF1 muta- Institute, Warsaw, Poland; identical brain changes despite considerable causal 2 Department of Metabolic tions were found invariably and almost exclusively Diseases, Endocrinology and heterogeneity. SURF1 gene mutations are among the in patients with generalised COX-deficit coexistent Diabetology, The Children’s most frequent causes of LS. Although deficiency of with LS features. Nearly 60 such patients and over Memorial Health Institute, cytochrome c oxidase (COX) is a typical feature of the 3 35 different mutations have been reported so far in Warsaw, Poland; Department muscle in SURF1-deficient LS, other abnormalities have the literature.5–32 SURF1 encodes for one of several of Medical Genetics, The Children’s Memorial Health been rarely described. The aim of the present work is to proteins involved in proper assembly of the active Institute, Warsaw, Poland; assess the skeletal muscle morphology coexisting with COX complex. 4 Department of Biochemistry SURF1 mutations from our own research and in the Despite numerous detailed reports in muscle and Experimental Medicine, literature. -
Coa3 and Cox14 Are Essential for Negative Feedback Regulation of COX1 Translation in Mitochondria
JCB: Article Coa3 and Cox14 are essential for negative feedback regulation of COX1 translation in mitochondria David U. Mick,1,2,3 Milena Vukotic,3 Heike Piechura,4 Helmut E. Meyer,4 Bettina Warscheid,4,5 Markus Deckers,3 and Peter Rehling3 1Institut für Biochemie und Molekularbiologie, Zentrum für Biochemie und Molekulare Zellforschung and 2Fakultät für Biologie, Universität Freiburg, D-79104 Freiburg, Germany 3Abteilung für Biochemie II, Universität Göttingen, D-37073 Göttingen, Germany 4Medizinisches Proteom-Center, Ruhr-Universität Bochum, D-44801 Bochum, Germany 5Clinical and Cellular Proteomics, Duisburg-Essen Universität, D-45117 Essen, Germany egulation of eukaryotic cytochrome oxidase assem- newly synthesized Cox1 and are required for Mss51 as- bly occurs at the level of Cox1 translation, its central sociation with these complexes. Mss51 exists in equilibrium Rmitochondria-encoded subunit. Translation of COX1 between a latent, translational resting, and a committed, messenger RNA is coupled to complex assembly in a neg- translation-effective, state that are represented as distinct ative feedback loop: the translational activator Mss51 is complexes. Coa3 and Cox14 promote formation of the thought to be sequestered to assembly intermediates, ren- latent state and thus down-regulate COX1 expression. dering it incompetent to promote translation. In this study, Consequently, lack of Coa3 or Cox14 function traps Mss51 we identify Coa3 (cytochrome oxidase assembly factor 3; in the committed state and promotes Cox1 synthesis. Our Yjl062w-A), a novel regulator of mitochondrial COX1 data indicate that Coa1 binding to sequestered Mss51 in translation and cytochrome oxidase assembly. We show complex with Cox14, Coa3, and Cox1 is essential for that Coa3 and Cox14 form assembly intermediates with full inactivation. -
Gene Ontology Functional Annotations and Pleiotropy
Network based analysis of genetic disease associations Sarah Gilman Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2013 Sarah Gilman All Rights Reserved ABSTRACT Network based analysis of genetic disease associations Sarah Gilman Despite extensive efforts and many promising early findings, genome-wide association studies have explained only a small fraction of the genetic factors contributing to common human diseases. There are many theories about where this “missing heritability” might lie, but increasingly the prevailing view is that common variants, the target of GWAS, are not solely responsible for susceptibility to common diseases and a substantial portion of human disease risk will be found among rare variants. Relatively new, such variants have not been subject to purifying selection, and therefore may be particularly pertinent for neuropsychiatric disorders and other diseases with greatly reduced fecundity. Recently, several researchers have made great progress towards uncovering the genetics behind autism and schizophrenia. By sequencing families, they have found hundreds of de novo variants occurring only in affected individuals, both large structural copy number variants and single nucleotide variants. Despite studying large cohorts there has been little recurrence among the genes implicated suggesting that many hundreds of genes may underlie these complex phenotypes. The question -
MOCHI Enables Discovery of Heterogeneous Interactome Modules in 3D Nucleome
Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press MOCHI enables discovery of heterogeneous interactome modules in 3D nucleome Dechao Tian1,# , Ruochi Zhang1,# , Yang Zhang1, Xiaopeng Zhu1, and Jian Ma1,* 1Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA #These two authors contributed equally *Correspondence: [email protected] Contact To whom correspondence should be addressed: Jian Ma School of Computer Science Carnegie Mellon University 7705 Gates-Hillman Complex 5000 Forbes Avenue Pittsburgh, PA 15213 Phone: +1 (412) 268-2776 Email: [email protected] 1 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract The composition of the cell nucleus is highly heterogeneous, with different constituents forming complex interactomes. However, the global patterns of these interwoven heterogeneous interactomes remain poorly understood. Here we focus on two different interactomes, chromatin interaction network and gene regulatory network, as a proof-of-principle, to identify heterogeneous interactome modules (HIMs), each of which represents a cluster of gene loci that are in spatial contact more frequently than expected and that are regulated by the same group of transcription factors. HIM integrates transcription factor binding and 3D genome structure to reflect “transcriptional niche” in the nucleus. We develop a new algorithm MOCHI to facilitate the discovery of HIMs based on network motif clustering in heterogeneous interactomes. By applying MOCHI to five different cell types, we found that HIMs have strong spatial preference within the nucleus and exhibit distinct functional properties. Through integrative analysis, this work demonstrates the utility of MOCHI to identify HIMs, which may provide new perspectives on the interplay between transcriptional regulation and 3D genome organization. -
Genetic Defects of Cytochrome C Oxidase Assembly
Physiol. Res. 53 (Suppl. 1): S213-S223, 2004 Genetic Defects of Cytochrome c Oxidase Assembly P. PECINA 1, H. HOUŠŤKOVÁ2, H. HANSÍKOVÁ2, J. ZEMAN2, J. HOUŠTĚK1 1Department of Bioenergetics, Institute of Physiology and Center for Integrated Genomics, Academy of Sciences of the Czech Republic, and 2Department of Pediatrics, First Faculty of Medicine, Charles University, Prague, Czech Republic Received February 10, 2004 Accepted March 4, 2004 Summary Cytochrome c oxidase (COX), the terminal enzyme of the mitochondrial respiratory chain, is one of the key functional and regulatory sites of the mammalian energy metabolism. Owing to the importance of the enzyme, pathogenetic mutations affecting COX frequently result in severe, often fatal metabolic disorders. No satisfactory therapy is currently available so that the treatment remains largely symptomatic and does not improve the course of the disease. While only few genetic defects of COX are caused by mutations in mitochondrial genome, during the last five years a large number of pathogenetic mutations in nuclear genes have been discovered. All these mutations are located in genes encoding COX-specific assembly proteins including SURF1, SCO1, SCO2, COX10, and COX15. Despite the identification of increasing number of mutations, their precise etiopathogenetic mechanisms, which are necessary for the development of future therapeutic protocols, still remain to be elucidated. This review summarizes recent developments, including our efforts in elucidation of the molecular basis of human mitochondrial diseases due to specific defects of COX with special focus on SURF1 assembly protein. Key words Cytochrome c oxidase • SURF1 • Leigh syndrome • Mitochondrial disorders Mitochondrial diseases represent large group of mitochondrial diseases, which usually manifest in early childhood, and predominantly Mammalian organisms fully depend on ATP affect muscle, brain, heart, and other tissues with high produced by oxidative phosphorylation (OXPHOS), a energetic demands (Wallace 1992).