Structure of Subcomplex Iβ of Mammalian Respiratory Complex I Leads to New Supernumerary Subunit Assignments
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												  The Genomic Structure and Expression of MJD, the Machado-Joseph Disease GeneJ Hum Genet (2001) 46:413–422 © Jpn Soc Hum Genet and Springer-Verlag 2001 ORIGINAL ARTICLE Yaeko Ichikawa · Jun Goto · Masahira Hattori Atsushi Toyoda · Kazuo Ishii · Seon-Yong Jeong Hideji Hashida · Naoki Masuda · Katsuhisa Ogata Fumio Kasai · Momoki Hirai · Patrícia Maciel Guy A. Rouleau · Yoshiyuki Sakaki · Ichiro Kanazawa The genomic structure and expression of MJD, the Machado-Joseph disease gene Received: March 7, 2001 / Accepted: April 17, 2001 Abstract Machado-Joseph disease (MJD) is an autosomal relative to the MJD gene in B445M7 indicate that there are dominant neurodegenerative disorder that is clinically char- three alternative splicing sites and eight polyadenylation acterized by cerebellar ataxia and various associated symp- signals in MJD that are used to generate the differently toms. The disease is caused by an unstable expansion of the sized transcripts. CAG repeat in the MJD gene. This gene is mapped to chromosome 14q32.1. To determine its genomic structure, Key words Machado-Joseph disease (MJD) · 14q32.1 · we constructed a contig composed of six cosmid clones and CAG repeat · Genome structure · Alternative splicing · eight bacterial artificial chromosome (BAC) clones. It spans mRNA expression approximately 300kb and includes MJD. We also deter- mined the complete sequence (175,330bp) of B445M7, a human BAC clone that contains MJD. The MJD gene was found to span 48,240bp and to contain 11 exons. Northern Introduction blot analysis showed that MJD mRNA is ubiquitously expressed in human tissues, and in at least four different Machado-Joseph disease (MJD) is an autosomal dominant sizes; namely, 1.4, 1.8, 4.5, and 7.5kb.
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												  Location Analysis of Estrogen Receptor Target Promoters Reveals ThatLocation analysis of estrogen receptor ␣ target promoters reveals that FOXA1 defines a domain of the estrogen response Jose´ e Laganie` re*†, Genevie` ve Deblois*, Ce´ line Lefebvre*, Alain R. Bataille‡, Franc¸ois Robert‡, and Vincent Gigue` re*†§ *Molecular Oncology Group, Departments of Medicine and Oncology, McGill University Health Centre, Montreal, QC, Canada H3A 1A1; †Department of Biochemistry, McGill University, Montreal, QC, Canada H3G 1Y6; and ‡Laboratory of Chromatin and Genomic Expression, Institut de Recherches Cliniques de Montre´al, Montreal, QC, Canada H2W 1R7 Communicated by Ronald M. Evans, The Salk Institute for Biological Studies, La Jolla, CA, July 1, 2005 (received for review June 3, 2005) Nuclear receptors can activate diverse biological pathways within general absence of large scale functional data linking these putative a target cell in response to their cognate ligands, but how this binding sites with gene expression in specific cell types. compartmentalization is achieved at the level of gene regulation is Recently, chromatin immunoprecipitation (ChIP) has been used poorly understood. We used a genome-wide analysis of promoter in combination with promoter or genomic DNA microarrays to occupancy by the estrogen receptor ␣ (ER␣) in MCF-7 cells to identify loci recognized by transcription factors in a genome-wide investigate the molecular mechanisms underlying the action of manner in mammalian cells (20–24). This technology, termed 17-estradiol (E2) in controlling the growth of breast cancer cells. ChIP-on-chip or location analysis, can therefore be used to deter- We identified 153 promoters bound by ER␣ in the presence of E2. mine the global gene expression program that characterize the Motif-finding algorithms demonstrated that the estrogen re- action of a nuclear receptor in response to its natural ligand.
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												  Proteomic and Metabolomic Analyses of Mitochondrial Complex I-DeficientTHE JOURNAL OF BIOLOGICAL CHEMISTRY VOL. 287, NO. 24, pp. 20652–20663, June 8, 2012 © 2012 by The American Society for Biochemistry and Molecular Biology, Inc. Published in the U.S.A. Proteomic and Metabolomic Analyses of Mitochondrial Complex I-deficient Mouse Model Generated by Spontaneous B2 Short Interspersed Nuclear Element (SINE) Insertion into NADH Dehydrogenase (Ubiquinone) Fe-S Protein 4 (Ndufs4) Gene*□S Received for publication, November 25, 2011, and in revised form, April 5, 2012 Published, JBC Papers in Press, April 25, 2012, DOI 10.1074/jbc.M111.327601 Dillon W. Leong,a1 Jasper C. Komen,b1 Chelsee A. Hewitt,a Estelle Arnaud,c Matthew McKenzie,d Belinda Phipson,e Melanie Bahlo,e,f Adrienne Laskowski,b Sarah A. Kinkel,a,g,h Gayle M. Davey,g William R. Heath,g Anne K. Voss,a,h René P. Zahedi,i James J. Pitt,j Roman Chrast,c Albert Sickmann,i,k Michael T. Ryan,l Gordon K. Smyth,e,f,h b2 a,h,m,n3 David R. Thorburn, and Hamish S. Scott Downloaded from From the aMolecular Medicine Division, gImmunology Division, and eBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia, the bMurdoch Childrens Research Institute, Royal Children’s Hospital and Department of Paediatrics, University of Melbourne, Parkville, Victoria 3052, Australia, the cDépartement de Génétique Médicale, Université de Lausanne, 1005 Lausanne, Switzerland, the dCentre for Reproduction and Development, Monash Institute of Medical Research, Clayton, Victoria 3168, Australia, the hDepartment of Medical Biology
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												  S41467-020-18249-3.PdfARTICLE https://doi.org/10.1038/s41467-020-18249-3 OPEN Pharmacologically reversible zonation-dependent endothelial cell transcriptomic changes with neurodegenerative disease associations in the aged brain Lei Zhao1,2,17, Zhongqi Li 1,2,17, Joaquim S. L. Vong2,3,17, Xinyi Chen1,2, Hei-Ming Lai1,2,4,5,6, Leo Y. C. Yan1,2, Junzhe Huang1,2, Samuel K. H. Sy1,2,7, Xiaoyu Tian 8, Yu Huang 8, Ho Yin Edwin Chan5,9, Hon-Cheong So6,8, ✉ ✉ Wai-Lung Ng 10, Yamei Tang11, Wei-Jye Lin12,13, Vincent C. T. Mok1,5,6,14,15 &HoKo 1,2,4,5,6,8,14,16 1234567890():,; The molecular signatures of cells in the brain have been revealed in unprecedented detail, yet the ageing-associated genome-wide expression changes that may contribute to neurovas- cular dysfunction in neurodegenerative diseases remain elusive. Here, we report zonation- dependent transcriptomic changes in aged mouse brain endothelial cells (ECs), which pro- minently implicate altered immune/cytokine signaling in ECs of all vascular segments, and functional changes impacting the blood–brain barrier (BBB) and glucose/energy metabolism especially in capillary ECs (capECs). An overrepresentation of Alzheimer disease (AD) GWAS genes is evident among the human orthologs of the differentially expressed genes of aged capECs, while comparative analysis revealed a subset of concordantly downregulated, functionally important genes in human AD brains. Treatment with exenatide, a glucagon-like peptide-1 receptor agonist, strongly reverses aged mouse brain EC transcriptomic changes and BBB leakage, with associated attenuation of microglial priming. We thus revealed tran- scriptomic alterations underlying brain EC ageing that are complex yet pharmacologically reversible.
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												  Aplicación De La Biología De Sistemas Al Estudio De La Malaria Y Búsqueda De Biomarcadores Y Dianas TerapéuticasAplicación de la biología de sistemas al estudio de la malaria y búsqueda de biomarcadores y dianas terapéuticas Autora: Mireia Ferrer Almirall Máster en Bioinformática y Bioestadística Area 1-Bioinformática farmacéutica Tutores: Melchor Sánchez Martínez y Alex Sánchez Pla Profesor responsable de la asignatura: Carles Ventura Royo 02/01/2019 Esta obra está sujeta a una licencia de Reconocimiento-NoComercial- SinObraDerivada 3.0 España de Creative Commons FICHA DEL TRABAJO FINAL Aplicación de la biología de sistemas al Título del trabajo: estudio de la malaria y búsqueda de biomarcadores y dianas terapéuticas Nombre del autor: Mireia Ferrer Almirall Melchor Sánchez Martínez y Nombre del consultor/a: Alex Sánchez Pla Nombre del PRA: Carles Ventura Royo Fecha de entrega (mm/aaaa): 01/2019 Titulación: Máster en Bioinformática y Bioestadística Área del Trabajo Final: 1-Bioinformática farmacéutica Idioma del trabajo: castellano Malaria, Biología-de-sistemas, Palabras clave dianas-terapéuticas Resumen del Trabajo (máximo 250 palabras): Con la finalidad, contexto de aplicación, metodología, resultados i conclusiones del trabajo. La finalidad de este trabajo es aplicar herramientas de biología de sistemas para investigar los mecanismos implicados en la infección por el parásito de la malaria e identificar posibles biomarcadores y dianas terapéuticas. Se ha partido de una serie temporal de datos de microarrays del bazo de ratones infectados con dos cepas del parásito (NL y L) para determinar los genes que se encuentran diferencialmente expresados (DEG) respecto a ratones control. A partir de las listas de DEG obtenidas, se han utilizado herramientas de biología de sistemas en combinación con análisis de significación biológica para obtener una visión integrada de los procesos biológicos que se encuentran alterados en la enfermedad e identificar posibles biomarcadores/dianas terapéuticas.
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												  Original Article Bioinformatic Analysis of Gene Expression Profile in Prostate Epithelial Cells Exposed to Low-Dose CadmiumInt J Clin Exp Med 2018;11(3):1669-1678 www.ijcem.com /ISSN:1940-5901/IJCEM0062792 Original Article Bioinformatic analysis of gene expression profile in prostate epithelial cells exposed to low-dose cadmium Qiling Liu1,2*, Rongqiang Zhang2*, Xiang Wang1, Peili Wang2, Xiaomei Ren2, Na Sun2, Xiangwen Li2, Xinhui Li2, Chunxu Hai1 1Department of Toxicology, The Ministry of Education Key Lab of Hazard Assessment and Control in Special Op- erational Environment, Shaanxi Provincial Key Lab of Free Radical Biology and Medicine, School of Public Health, Medical University of The Air Force, Xi’an, Shaanxi 710032, China; 2Department of Epidemic and Health Statis- tics, The College of Public Health for The Shaanxi University of Chinese Medicine, Shaanxi 712046, China. *Equal contributors. Received July 25, 2017; Accepted February 5, 2018; Epub March 15, 2018; Published March 30, 2018 Abstract: Objective: This study was to identify key genes and biological pathways involved in responses of prostate epithelial cells after low-dose Cd exposure by using bioinformatic analysis. Methods: The gene chip data of prostate epithelial cells after low-dose Cd exposure were collected from public databases Gene Expression Omnibus. After identification of differentially expressed genes (DEGs), data were input into Qlucore Omics Explorer, Network Analyst, String, and Genclip for further analysis of gene expression profiles, protein-protein interactions (PPI) and protein- chemicals interactions, and critical molecular pathways. Results: A total of 384 DEGs were identified in Cd treated group compared with control group. The number of DEGs gradually decreased over time, with the largest number at 0 h. Furthermore, NDUFB5 (A, S), CYC1, UQCRB, ETFA (B), SNRPD2, and LSM3 (5, 6) were the hub proteins in the PPI network.
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												  Low Abundance of the Matrix Arm of Complex I in Mitochondria Predicts Longevity in MiceARTICLE Received 24 Jan 2014 | Accepted 9 Apr 2014 | Published 12 May 2014 DOI: 10.1038/ncomms4837 OPEN Low abundance of the matrix arm of complex I in mitochondria predicts longevity in mice Satomi Miwa1, Howsun Jow2, Karen Baty3, Amy Johnson1, Rafal Czapiewski1, Gabriele Saretzki1, Achim Treumann3 & Thomas von Zglinicki1 Mitochondrial function is an important determinant of the ageing process; however, the mitochondrial properties that enable longevity are not well understood. Here we show that optimal assembly of mitochondrial complex I predicts longevity in mice. Using an unbiased high-coverage high-confidence approach, we demonstrate that electron transport chain proteins, especially the matrix arm subunits of complex I, are decreased in young long-living mice, which is associated with improved complex I assembly, higher complex I-linked state 3 oxygen consumption rates and decreased superoxide production, whereas the opposite is seen in old mice. Disruption of complex I assembly reduces oxidative metabolism with concomitant increase in mitochondrial superoxide production. This is rescued by knockdown of the mitochondrial chaperone, prohibitin. Disrupted complex I assembly causes premature senescence in primary cells. We propose that lower abundance of free catalytic complex I components supports complex I assembly, efficacy of substrate utilization and minimal ROS production, enabling enhanced longevity. 1 Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne NE4 5PL, UK. 2 Centre for Integrated Systems Biology of Ageing and Nutrition, Newcastle University, Newcastle upon Tyne NE4 5PL, UK. 3 Newcastle University Protein and Proteome Analysis, Devonshire Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, UK. Correspondence and requests for materials should be addressed to T.v.Z.
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												  (BPA) Exposure Biomarkers in Ovarian CancerJournal of Clinical Medicine Article Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer Aeman Zahra 1, Qiduo Dong 1, Marcia Hall 1,2 , Jeyarooban Jeyaneethi 1, Elisabete Silva 1, Emmanouil Karteris 1,* and Cristina Sisu 1,* 1 Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; [email protected] (A.Z.); [email protected] (Q.D.); [email protected] (M.H.); [email protected] (J.J.); [email protected] (E.S.) 2 Mount Vernon Cancer Centre, Northwood HA6 2RN, UK * Correspondence: [email protected] (E.K.); [email protected] (C.S.) Abstract: Endocrine-disrupting chemicals (EDCs) can exert multiple deleterious effects and have been implicated in carcinogenesis. The xenoestrogen Bisphenol A (BPA) that is found in various consumer products has been involved in the dysregulation of numerous signalling pathways. In this paper, we present the analysis of a set of 94 genes that have been shown to be dysregulated in presence of BPA in ovarian cancer cell lines since we hypothesised that these genes might be of biomarker potential. This study sought to identify biomarkers of disease and biomarkers of disease- associated exposure. In silico analyses took place using gene expression data extracted from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Differential expression was further validated at protein level using immunohistochemistry on an ovarian cancer tissue microarray. We found that 14 out of 94 genes are solely dysregulated in the presence of BPA, while the remaining 80 genes are already dysregulated (p-value < 0.05) in their expression pattern Citation: Zahra, A.; Dong, Q.; Hall, as a consequence of the disease.
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												  Supplementary Table S4. FGA Co-Expressed Gene List in LUADSupplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase
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												  Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.
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												  Supplementary MaterialsSupplementary 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
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												  Membrane Proteomics of Cervical Cancer Cell Lines Reveal Insights on the Process of Cervical CarcinogenesisINTERNATIONAL JOURNAL OF ONCOLOGY 53: 2111-2122, 2018 Membrane proteomics of cervical cancer cell lines reveal insights on the process of cervical carcinogenesis KALLIOPI I. PAPPA1,2, POLYXENI CHRISTOU3,4, AMARILDO XHOLI3, GEORGE MERMELEKAS3, GEORGIA KONTOSTATHI3,4, VASILIKI LYGIROU3,4, MANOUSOS MAKRIDAKIS3, JEROME ZOIDAKIS3 and NICHOLAS P. ANAGNOU1,4 1Cell and Gene Therapy Laboratory, Centre of Basic Research II, Biomedical Research Foundation of the Academy of Athens, 11527 Athens; 2First Department of Obstetrics and Gynecology, University of Athens School of Medicine, Alexandra Hospital, 11528 Athens; 3Biotechnology Division, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens; 4Laboratory of Biology, University of Athens School of Medicine, 11527 Athens, Greece Received March 22, 2018; Accepted May 4, 2018 DOI: 10.3892/ijo.2018.4518 Abstract. The available therapeutic approaches for cervical biological pathways relevant to malignancy, including ‘HIPPO cancer can seriously affect the fertility potential of patient; signaling’, ‘PI3K/Akt signaling’, ‘cell cycle: G2/M DNA thus, there is a pressing requirement for less toxic and damage checkpoint regulation’ and ‘EIF2 signaling’. These targeted therapies. The membrane proteome is a potential unique membrane protein identifications offer insights on a source of therapeutic targets; however, despite the signifi- previously inaccessible region of the cervical cancer proteome, cance of membrane proteins in cancer, proteomic analysis and may represent putative