Genomics of Ovarian Cancer Progression Reveals Diverse Metastatic Trajectories Including Intraepithelial Metastasis to the Fallopian Tube
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CD56+ T-Cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients
CD56+ T-cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients Institute of Infection and Global Health Department of Clinical Infection, Microbiology and Immunology Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Mazen Mohammed Almehmadi December 2014 - 1 - Abstract Human T cells expressing CD56 are capable of tumour cell lysis following activation with interleukin-2 but their role in viral immunity has been less well studied. The work described in this thesis aimed to investigate CD56+ T-cells in relation to cytomegalovirus infection in healthy subjects and kidney transplant patients (KTPs). Proportions of CD56+ T cells were found to be highly significantly increased in healthy cytomegalovirus-seropositive (CMV+) compared to cytomegalovirus-seronegative (CMV-) subjects (8.38% ± 0.33 versus 3.29%± 0.33; P < 0.0001). In donor CMV-/recipient CMV- (D-/R-)- KTPs levels of CD56+ T cells were 1.9% ±0.35 versus 5.42% ±1.01 in D+/R- patients and 5.11% ±0.69 in R+ patients (P 0.0247 and < 0.0001 respectively). CD56+ T cells in both healthy CMV+ subjects and KTPs expressed markers of effector memory- RA T-cells (TEMRA) while in healthy CMV- subjects and D-/R- KTPs the phenotype was predominantly that of naïve T-cells. Other surface markers, CD8, CD4, CD58, CD57, CD94 and NKG2C were expressed by a significantly higher proportion of CD56+ T-cells in healthy CMV+ than CMV- subjects. Functional studies showed levels of pro-inflammatory cytokines IFN-γ and TNF-α, as well as granzyme B and CD107a were significantly higher in CD56+ T-cells from CMV+ than CMV- subjects following stimulation with CMV antigens. -
The Landscape of Human Mutually Exclusive Splicing
bioRxiv preprint doi: https://doi.org/10.1101/133215; this version posted May 2, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. The landscape of human mutually exclusive splicing Klas Hatje1,2,#,*, Ramon O. Vidal2,*, Raza-Ur Rahman2, Dominic Simm1,3, Björn Hammesfahr1,$, Orr Shomroni2, Stefan Bonn2§ & Martin Kollmar1§ 1 Group of Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany 2 Group of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany 3 Theoretical Computer Science and Algorithmic Methods, Institute of Computer Science, Georg-August-University Göttingen, Germany § Corresponding authors # Current address: Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland $ Current address: Research and Development - Data Management (RD-DM), KWS SAAT SE, Einbeck, Germany * These authors contributed equally E-mail addresses: KH: [email protected], RV: [email protected], RR: [email protected], DS: [email protected], BH: [email protected], OS: [email protected], SB: [email protected], MK: [email protected] - 1 - bioRxiv preprint doi: https://doi.org/10.1101/133215; this version posted May 2, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
DNA Damage Sensitization of Breast Cancer Cells with PARP10/ARTD10 Inhibitor Mikko Hukkanen
Pro gradu DNA damage sensitization of breast cancer cells with PARP10/ARTD10 inhibitor Mikko Hukkanen University of Oulu Faculty of Biochemistry and Molecular Medicine 2019 This thesis was completed at the Faculty of Biochemistry and Molecular Medicine, University of Oulu. Oulu, Finland Supervisors: Professor Lari Lehtiö, Dr. Jarkko Koivunen and MSc Sudarshan Murthy Acknowledgements The work of this thesis was made in Faculty of Biochemistry and Molecular Medicine (FBMM) of University of Oulu. Firstly, I would like to thank Professor Lari Lehtiö for the opportunity working in his group, and the advice I received for my thesis. My gratitude is expressed also to my other supervisors, Jarkko Koivunen, for all the guidance I received in the cell culture, and Sudarshan Murthy, for the guidance to express and purify protein, and to conclude IC50 analysis. I would also thank all the personnel in LL group for all the advice I received in laboratory. I would especially thank Sven Sowa who made the Mantis run for IC50 analysis possible. Abbreviations 5-FU – 5-fluorouracil aa – Aminoacid ADP – Adenosine diphosphate ADPr – ADP-ribosylation AEC – Anion-exchange chromatography AIF – Apoptosis inducing factor AIM – Auto-induction medium Arg – Arginine ART – ADP-ribosyltransferase ARTD – Diphtheria toxin –like ADP-ribosyltransferase Asp – Aspartate BRCA – Breast cancer gene BRCT – BRCA1 C terminus CPT – Camptothecin CRC – Colorectal cancer CRM1 – Chromosome region maintenance 1 Cys – Cysteine DDR – DNA damage response dH2O – Distilled water DMEM – Dulbecco’s -
Downloaded from the App Store and Nucleobase, Nucleotide and Nucleic Acid Metabolism 7 Google Play
Hoytema van Konijnenburg et al. Orphanet J Rare Dis (2021) 16:170 https://doi.org/10.1186/s13023-021-01727-2 REVIEW Open Access Treatable inherited metabolic disorders causing intellectual disability: 2021 review and digital app Eva M. M. Hoytema van Konijnenburg1†, Saskia B. Wortmann2,3,4†, Marina J. Koelewijn2, Laura A. Tseng1,4, Roderick Houben6, Sylvia Stöckler‑Ipsiroglu5, Carlos R. Ferreira7 and Clara D. M. van Karnebeek1,2,4,8* Abstract Background: The Treatable ID App was created in 2012 as digital tool to improve early recognition and intervention for treatable inherited metabolic disorders (IMDs) presenting with global developmental delay and intellectual disabil‑ ity (collectively ‘treatable IDs’). Our aim is to update the 2012 review on treatable IDs and App to capture the advances made in the identifcation of new IMDs along with increased pathophysiological insights catalyzing therapeutic development and implementation. Methods: Two independent reviewers queried PubMed, OMIM and Orphanet databases to reassess all previously included disorders and therapies and to identify all reports on Treatable IDs published between 2012 and 2021. These were included if listed in the International Classifcation of IMDs (ICIMD) and presenting with ID as a major feature, and if published evidence for a therapeutic intervention improving ID primary and/or secondary outcomes is avail‑ able. Data on clinical symptoms, diagnostic testing, treatment strategies, efects on outcomes, and evidence levels were extracted and evaluated by the reviewers and external experts. The generated knowledge was translated into a diagnostic algorithm and updated version of the App with novel features. Results: Our review identifed 116 treatable IDs (139 genes), of which 44 newly identifed, belonging to 17 ICIMD categories. -
ADCK3 Protein Recombinant Human Protein Expressed in Sf9 Cells
Catalog # Aliquot Size A37-11G-20 20 µg A37-11G-50 50 µg ADCK3 Protein Recombinant human protein expressed in Sf9 cells Catalog # A37-11G Lot # Z1457 -3 Product Description Purity Recombinant human ADCK3 (156-end) was expressed by baculovirus in Sf9 insect cells using an N-terminal GST tag. This gene accession number is NM_020247 . The purity of ADCK3 protein was Gene Aliases determined to be >75% by densitometry. ARCA2; CABC1; COQ10D4; COQ8; SCAR9 Approx. MW 83 kDa . Formulation Recombinant protein stored in 50mM Tris-HCl, pH 7.5, 50mM NaCl, 10mM glutathione, 0.1mM EDTA, 0.25mM DTT, 0.1mM PMSF, 25% glycerol. Storage and Stability Store product at –70 oC. For optimal storage, aliquot target into smaller quantities after centrifugation and store at recommended temperature. For most favorable performance, avoid repeated handling and multiple freeze/thaw cycles. Scientific Background ADCK3 or aarF domain containing kinase 3 is a mitochondrial protein similar to yeast ABC1, which functions in an electron-transferring membrane protein complex in the respiratory chain. ADCK3 is involved in coenzyme Q10 synthesis which is essential for proper functioning of the mitochondrial respiratory chain (1). ADCK3 Protein Expression of ADCK3 is induced by the tumor suppressor Recombinant human protein expressed in Sf9 cells p53 and in response to DNA damage, and inhibiting its expression partially suppresses p53-induced apoptosis (2). Catalog # A37-11G Lot # Z1457-3 References Purity >75% Concentration 0.1 µ g/ µl 1. Lagier-Tourenne, C. et.al: ADCK3, an ancestral kinase, is Stability 1yr at –70 oC from date of shipment mutated in a form of recessive ataxia associated with Storage & Shipping Store product at –70 oC. -
Human Mitochondrial Pathologies of the Respiratory Chain and ATP Synthase: Contributions from Studies of Saccharomyces Cerevisiae
life Review Human Mitochondrial Pathologies of the Respiratory Chain and ATP Synthase: Contributions from Studies of Saccharomyces cerevisiae Leticia V. R. Franco 1,2,* , Luca Bremner 1 and Mario H. Barros 2 1 Department of Biological Sciences, Columbia University, New York, NY 10027, USA; [email protected] 2 Department of Microbiology,Institute of Biomedical Sciences, Universidade de Sao Paulo, Sao Paulo 05508-900, Brazil; [email protected] * Correspondence: [email protected] Received: 27 October 2020; Accepted: 19 November 2020; Published: 23 November 2020 Abstract: The ease with which the unicellular yeast Saccharomyces cerevisiae can be manipulated genetically and biochemically has established this organism as a good model for the study of human mitochondrial diseases. The combined use of biochemical and molecular genetic tools has been instrumental in elucidating the functions of numerous yeast nuclear gene products with human homologs that affect a large number of metabolic and biological processes, including those housed in mitochondria. These include structural and catalytic subunits of enzymes and protein factors that impinge on the biogenesis of the respiratory chain. This article will review what is currently known about the genetics and clinical phenotypes of mitochondrial diseases of the respiratory chain and ATP synthase, with special emphasis on the contribution of information gained from pet mutants with mutations in nuclear genes that impair mitochondrial respiration. Our intent is to provide the yeast mitochondrial specialist with basic knowledge of human mitochondrial pathologies and the human specialist with information on how genes that directly and indirectly affect respiration were identified and characterized in yeast. Keywords: mitochondrial diseases; respiratory chain; yeast; Saccharomyces cerevisiae; pet mutants 1. -
Autosomal-Recessive Cerebellar Ataxia Caused by a Novel ADCK3
J Neurol Neurosurg Psychiatry: first published as 10.1136/jnnp-2013-306483 on 11 November 2013. Downloaded from Neurogenetics RESEARCH PAPER Autosomal-recessive cerebellar ataxia caused by a novel ADCK3 mutation that elongates the protein: clinical, genetic and biochemical characterisation Yo-Tsen Liu,1,2,3,4 Joshua Hersheson,2 Vincent Plagnol,5 Katherine Fawcett,2 Kate E C Duberley,2 Elisavet Preza,2 Iain P Hargreaves,6 Annapurna Chalasani,6 Open Access 1,2 2 1,2 1,2 Scan to access more Matilde Laurá, Nick W Wood, Mary M Reilly, Henry Houlden free content ▸ Additional material is ABSTRACT potentially treatable causes of ARCA as the symp- published online only. To view Background The autosomal-recessive cerebellar ataxias toms in many patients improve with CoQ10 sup- please visit the journal online 45 (http://dx.doi.org/10.1136/ (ARCA) are a clinically and genetically heterogeneous plementation. CoQ10 is a lipid-soluble jnnp-2013-306483). group of neurodegenerative disorders. The large number component located in the inner mitochondrial of ARCA genes leads to delay and difficulties obtaining membrane. It plays a pivotal role in the oxidative 1MRC Centre for Neuromuscular Diseases, an exact diagnosis in many patients and families. phosphorylation system (OXPHOS) by shuttling UCL Institute of Neurology Ubiquinone (CoQ10) deficiency is one of the potentially electrons derived from mitochondrial respiratory and National Hospital for treatable causes of ARCAs as some patients respond to chain (MRC) complexes I (NADH ubiquinone Neurology and Neurosurgery, CoQ10 supplementation. The AarF domain containing oxidoreductase) and II (succinate ubiquinone oxi- London, UK 2Department of Molecular kinase 3 gene (ADCK3) is one of several genes doreductase) to complex III (ubiquinol cytochrome Neuroscience, UCL Institute of associated with CoQ10 deficiency. -
Functional Characterization of Human Adck3 and Adck4, Mitochondrial Atypical Kinases
FUNCTIONAL CHARACTERIZATION OF HUMAN ADCK3 AND ADCK4, MITOCHONDRIAL ATYPICAL KINASES by Brody Wheeler A thesis submitted to the Department of Biomedical and Molecular Sciences In conformity with the requirements for the degree of Master of Science Queen’s University Kingston, Ontario, Canada November, 2015 Copyright © Brody Wheeler, 2015 Abstract AarF domain containing kinases 3 and 4 (ADCK3 and ADCK4, respectively) are paralogous human mitochondrial proteins, co-orthologs of the yeast protein Coq8 and bacterial protein UbiB. These proteins are required in the biosynthesis of coenzyme Q, a lipid-soluble electron carrier well known for its role in energy metabolism, more specifically in the electron transport chain. Patients with mutations in ADCK3 experience an onset of neurological disorders from childhood, including cerebellar ataxia and exercise intolerance. Mutations in ADCK4 cause steroid-resistant nephrotic syndrome, and are also associated with coenzyme Q deficiency. Aside from this minimal characterization at the biochemical level, the precise biological functions of both ADCK3 and ADCK4 remain poorly understood. After extensive screening for soluble recombinant protein expression, N-terminal fusions with maltose-binding protein were found to facilitate the overexpression of human ADCK3 and ADCK4 truncations in Escherichia coli as soluble and biologically active entities. For the first time, our work revealed Mg2+-dependent ATPase activity of ADCK3, providing strong support for the theoretical prediction of these proteins being functional atypical kinases. Subsequent experimentation confirmed protein kinase activity for both ADCK3 and ADCK4. This observed kinase activity was inhibited by the presence of an atypical N-terminal extension – containing an invariant KxGQ motif – found within the kinase domains of these proteins, suggesting an autoinhibitory role for this motif. -
Downloaded Per Proteome Cohort Via the Web- Site Links of Table 1, Also Providing Information on the Deposited Spectral Datasets
www.nature.com/scientificreports OPEN Assessment of a complete and classifed platelet proteome from genome‑wide transcripts of human platelets and megakaryocytes covering platelet functions Jingnan Huang1,2*, Frauke Swieringa1,2,9, Fiorella A. Solari2,9, Isabella Provenzale1, Luigi Grassi3, Ilaria De Simone1, Constance C. F. M. J. Baaten1,4, Rachel Cavill5, Albert Sickmann2,6,7,9, Mattia Frontini3,8,9 & Johan W. M. Heemskerk1,9* Novel platelet and megakaryocyte transcriptome analysis allows prediction of the full or theoretical proteome of a representative human platelet. Here, we integrated the established platelet proteomes from six cohorts of healthy subjects, encompassing 5.2 k proteins, with two novel genome‑wide transcriptomes (57.8 k mRNAs). For 14.8 k protein‑coding transcripts, we assigned the proteins to 21 UniProt‑based classes, based on their preferential intracellular localization and presumed function. This classifed transcriptome‑proteome profle of platelets revealed: (i) Absence of 37.2 k genome‑ wide transcripts. (ii) High quantitative similarity of platelet and megakaryocyte transcriptomes (R = 0.75) for 14.8 k protein‑coding genes, but not for 3.8 k RNA genes or 1.9 k pseudogenes (R = 0.43–0.54), suggesting redistribution of mRNAs upon platelet shedding from megakaryocytes. (iii) Copy numbers of 3.5 k proteins that were restricted in size by the corresponding transcript levels (iv) Near complete coverage of identifed proteins in the relevant transcriptome (log2fpkm > 0.20) except for plasma‑derived secretory proteins, pointing to adhesion and uptake of such proteins. (v) Underrepresentation in the identifed proteome of nuclear‑related, membrane and signaling proteins, as well proteins with low‑level transcripts. -
Supplementary Information Contents
Supplementary Information Contents Supplementary Methods: Additional methods descriptions Supplementary Results: Biology of suicidality-associated loci Supplementary Figures Supplementary Figure 1: Flow chart of UK Biobank participants available for primary analyses (Ordinal GWAS and PRS analysis) Supplementary Figure 2: Flow chart of UK Biobank participants available for secondary analyses. The flow chart of participants is the same as Supplementary Figure 1 up to the highlighted box. Relatedness exclusions were applied for A) the DSH GWAS considering the categories Controls, Contemplated self-harm and Actual self-ham and B) the SIA GWAS considering the categories Controls, Suicidal ideation and attempted suicide. Supplementary Figure 3: Manhattan plot of GWAS of ordinal DSH in UK Biobank (N=100 234). Dashed red line = genome wide significance threshold (p<5x10-5). Inset: QQ plot for genome-wide association with DSH. Red line = theoretical distribution under the null hypothesis of no association. Supplementary Figure 4: Manhattan plot of GWAS of ordinal SIA in UK Biobank (N=108 090). Dashed red line = genome wide significance threshold (p<5x10-5). Inset: QQ plot for genome-wide association with SIA. Red line = theoretical distribution under the null hypothesis of no association. Supplementary Figure 5: Manhattan plot of gene-based GWAS of ordinal suicide in UK Biobank (N=122 935). Dashed red line = genome wide significance threshold (p<5x10-5). Inset: QQ plot for genome-wide association with suicidality in UK Biobank. Red line = theoretical distribution under the null hypothesis of no association. Supplementary Figure 6: Manhattan plot of gene-based GWAS of ordinal DSH in UK Biobank (N=100 234). -
COQ8A Gene Coenzyme Q8A
COQ8A gene coenzyme Q8A Normal Function The COQ8A gene provides instructions for making a protein that is involved in the production of a molecule called coenzyme Q10, which has several critical functions in cells throughout the body. In cell structures called mitochondria, coenzyme Q10 plays an essential role in a process called oxidative phosphorylation, which converts the energy from food into a form cells can use. Coenzyme Q10 is also involved in producing pyrimidines, which are building blocks of DNA, its chemical cousin RNA, and molecules such as ATP and GTP that serve as energy sources in the cell. In cell membranes, coenzyme Q10 acts as an antioxidant, protecting cells from damage caused by unstable oxygen-containing molecules (free radicals), which are byproducts of energy production. Health Conditions Related to Genetic Changes Primary coenzyme Q10 deficiency At least 36 mutations in the COQ8A gene have been found to cause a disorder known as primary coenzyme Q10 deficiency. This rare disease usually becomes apparent in infancy or early childhood, but it can occur at any age. It can affect many parts of the body, most often the brain, muscles, and kidneys. The COQ8A gene mutations associated with this disorder change the structure of the COQ8A protein or prevent its production, which impairs the normal production of coenzyme Q10. Studies suggest that a shortage (deficiency) of coenzyme Q10 impairs oxidative phosphorylation and increases the vulnerability of cells to damage from free radicals. A deficiency of coenzyme Q10 may also disrupt the production of pyrimidines. These changes can cause cells throughout the body to malfunction, which may help explain the variety of organs and tissues that can be affected by primary coenzyme Q10 deficiency. -
Disorders of Human Coenzyme Q10 Metabolism: an Overview
International Journal of Molecular Sciences Review Disorders of Human Coenzyme Q10 Metabolism: An Overview Iain Hargreaves 1,*, Robert A. Heaton 1 and David Mantle 2 1 School of Pharmacy, Liverpool John Moores University, L3 5UA Liverpool, UK; [email protected] 2 Pharma Nord (UK) Ltd., Telford Court, Morpeth, NE61 2DB Northumberland, UK; [email protected] * Correspondence: [email protected] Received: 19 August 2020; Accepted: 11 September 2020; Published: 13 September 2020 Abstract: Coenzyme Q10 (CoQ10) has a number of vital functions in all cells, both mitochondrial and extramitochondrial. In addition to its key role in mitochondrial oxidative phosphorylation, CoQ10 serves as a lipid soluble antioxidant, plays an important role in fatty acid, pyrimidine and lysosomal metabolism, as well as directly mediating the expression of a number of genes, including those involved in inflammation. In view of the central role of CoQ10 in cellular metabolism, it is unsurprising that a CoQ10 deficiency is linked to the pathogenesis of a range of disorders. CoQ10 deficiency is broadly classified into primary or secondary deficiencies. Primary deficiencies result from genetic defects in the multi-step biochemical pathway of CoQ10 synthesis, whereas secondary deficiencies can occur as result of other diseases or certain pharmacotherapies. In this article we have reviewed the clinical consequences of primary and secondary CoQ10 deficiencies, as well as providing some examples of the successful use of CoQ10 supplementation in the treatment of disease. Keywords: coenzyme Q10; mitochondria; oxidative stress; antioxidant; deficiencies 1. Introduction Coenzyme Q10 (CoQ10) is a lipid-soluble molecule comprising a central benzoquinone moiety, to which is attached a 10-unit polyisoprenoid lipid tail [1] (Figure1).