DOCSLIB.ORG

The Integrated RNA Landscape of Renal Preconditioning Against Ischemia-Reperfusion Injury

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
The Integrated RNA Landscape of Renal Preconditioning Against Ischemia-Reperfusion Injury BASIC RESEARCH www.jasn.org The Integrated RNA Landscape of Renal Preconditioning against Ischemia-Reperfusion Injury Marc Johnsen,1 Torsten Kubacki,1 Assa Yeroslaviz ,2 Martin Richard Späth,1 Jannis Mörsdorf,1 Heike Göbel,3 Katrin Bohl,1,4 Michael Ignarski,1,4 Caroline Meharg,5 Bianca Habermann,6 Janine Altmüller,7 Andreas Beyer,3,8 Thomas Benzing,1,3,8 Bernhard Schermer,1,3,8 Volker Burst,1 and Roman-Ulrich Müller 1,3,8 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Although AKI lacks effective therapeutic approaches, preventive strategies using precondi- tioning protocols, including caloric restriction and hypoxic preconditioning, have been shown to prevent injury in animal models. A better understanding of the molecular mechanisms that underlie the enhanced resistance to AKI conferred by such approaches is needed to facilitate clinical use. We hypothesized that these preconditioning strategies use similar pathways to augment cellular stress resistance. Methods To identify genes and pathways shared by caloric restriction and hypoxic preconditioning, we used RNA-sequencing transcriptome profiling to compare the transcriptional response with both modes of preconditioning in mice before and after renal ischemia-reperfusion injury. Results The gene expression signatures induced by both preconditioning strategies involve distinct com- mon genes and pathways that overlap significantly with the transcriptional changes observed after ischemia-reperfusion injury. These changes primarily affect oxidation-reduction processes and have a major effect on mitochondrial processes. We found that 16 of the genes differentially regulated by both modes of preconditioning were strongly correlated with clinical outcome; most of these genes had not previously been directly linked to AKI. Conclusions This comparative analysis of the gene expression signatures in preconditioning strategies shows overlapping patterns in caloric restriction and hypoxic preconditioning, pointing toward common molecular mechanisms. Our analysis identified a limited set of target genes not previously known to be associated with AKI; further study of their potential to provide the basis for novel preventive strategies is warranted. To allow for optimal interactive usability of the data by the kidney research community, we provide an online interface for user-defined interrogation of the gene expression datasets (http://shiny. cecad.uni-koeln.de:3838/IRaP/). JASN 31: 716–730, 2020. doi: https://doi.org/10.1681/ASN.2019050534 Received May 27, 2019. Accepted January 5, 2020. The incidence of AKI is steadily increasing, leading M.J., T.K., V.B., and R.-U.M. contributed equally to this work. to relevant morbidity and mortality and causing a growing economic burden to Western health care Published online ahead of print. Publication date available at systems.1 Despite extensive research, therapies for www.jasn.org. AKI are still lacking in clinical practice. In contrast, Correspondence: Dr. Roman-Ulrich Müller, Cologne Excellence preventive strategies using various so-called pre- Cluster on Cellular Stress Responses in Aging-Associated Dis- eases, Josef-Stelzmann-Street 26, 50931 Cologne, Germany, or conditioning protocols, including caloric restric- Dr. Volker Burst, Department II of Internal Medicine, University of tion (CR) and interventions activating hypoxia Cologne, Kerpener Street 62, 50937 Cologne, Germany. E-mail: signaling (ischemic preconditioning [IP] and hyp- [email protected] or [email protected] – oxic preconditioning [HP]),2 4 have been found to Copyright © 2020 by the American Society of Nephrology 716 ISSN : 1046-6673/3104-716 JASN 31: 716–730, 2020 www.jasn.org BASIC RESEARCH be extraordinarily effective in animal models. Although it has Significance Statement longbeenknownthatCR5 and activation of hypoxia signal- ing6,7 lead to an extension of healthy lifespan, more recent Preconditioning strategies, such as caloric restriction and hypoxic experiments demonstrated that a short-term application of preconditioning, show strongly protective effects in animal models CR or IP/HP induces robust protection of various organs, of AKI, and researchers hope exploration of these strategies might provide insights into translating these powerful interventions to the 8 9,10 9 including heart, kidney, brain, and liver. clinical setting. However, the molecular mechanisms underlying the So far, a comprehensive understanding of the molecular beneficial effects of short-term application of caloric restriction and mechanisms underlying the beneficial effect of short-term hypoxic preconditioning have remained elusive. The authors used CR and oxygen deficiency is still lacking. Strikingly, these RNA-sequencing transcriptome profiling to compare the tran- effects can be observed in a wide range of species from inver- scriptional response with both modes of preconditioning before and after renal ischemia-reperfusion injury, identifying genes and 10–13 tebrates to mammals, and the protective effect is not pathways commonly shared by the two strategies. A comparison of confined to distinct organs but rather affects whole organisms. these findings with genes dysregulated during AKI points to genes This strongly points to evolutionary conserved mechanisms involved in preconditioning-associated organ protection that can that are paramount for the cellular defense against various now be examined as potential therapeutic targets in AKI. injuries.5 The fact that CR and HP share their protective potential has day, respectively. No increase in mortality or morbidity was led us to hypothesize that they utilize common pathways. observed after HP. Here, we report our findings of a detailed comparative expres- sion analysis in kidneys of preconditioned mice. Renal Ischemia-Reperfusion Injury Model A warm renal ischemia-reperfusion injury (IRI) model was used as described elsewhere, with slight modifications.12 METHODS Briefly, after anesthesia with intraperitoneal application of ketamine/xylazine, the right kidney was removed and the Ethical Statement left renal pedicle was clamped for 40 minutes. Postsurgical All animal procedures were conducted in accordance with Eu- recovery was assessed on the basis of weight loss, activity (nest- ropean (European Union directive 86/609/EEC), national and ing, flight behavior, movement), and appearance (grooming, institutional guidelines and approved by local governmental tachypnoea, dehydration) on a daily basis. Mice were eutha- authorities (LANUV 84–02.04.2013.A158). nized at 4, 24, or 72 hours after ischemia. Animals Male C57BL6/J mice aged 8–12 weeks were housed under Analysis of Renal Function and Overall Health identical specific-pathogen-free conditions in group cages Performance (five animals per cage) at a relative humidity of 50%–60% Blood samples were collected via puncture of a buccal vein or fi and with a 12-hour light/dark rhythm. All mice received water by nal bleeding. Serum urea and creatinine levels were mea- ad libitum and all except the caloric restricted mice received sured on a Cobas C 702 and Creatinine Plus-Test version 2 food ad libitum.Foodwasobtainedfromssniff(Art. (both Roche Diagnostics, Mannheim, Germany). Mortality V1534–703; Soest, Germany). and a postoperative recovery score (see Supplemental Appendix 1) were assessed over a period of 72 hours after IRI. CR Average food intake was determined by daily weighing of re- Histopathology maining food pellets for a period of 2 weeks. For experiments, Acute tubular damage was evaluated in a blinded fashion by an CR was applied for 4 weeks and mice were fed 70% of observed experienced renal pathologist (H.G.) using sections stained average food consumption. Mice were weighed on a weekly with periodic acid–Schiff (five visual fields per section) and basis to monitor weight loss. Neither increased mortality nor categorized using the scoring system proposed by Tirapelli and morbidity were observed during CR. Goujon14,15 on the basis of the presence of vacuolization, ep- ithelial flattening, loss of brush border, loss of nuclei, and – HP necrosis. Results were graded 0 4 according to the affected For HP, mice were put in a sealed chamber with free access to area (1: 0%–25%, 2: 25%–50%, 3: 50%–75%, 4: 75%–100%). water and food on three consecutive days. To achieve a nor- mobaric, hypoxic environment, oxygen was gradually re- Terminal Deoxynucleotidyl Transferase–Mediated placed by nitrogen over a period of 20 minutes, yielding Digoxigenin-Deoxyuridine Nick-End Labeling Staining a final oxygen concentration of 8% (Oxygen sensor, Grei- DeadEnd Fluorometric TUNEL System (Promega) was used singer GMH 3690; GMH Meßtechnik GmbH, Remscheid, on formalin-fixed paraffinsections(2mm) according to the Germany). The animals were exposed to hypoxia for 2 hours manufacturer’s protocol. Pictures were taken with a Zeiss on the first day and 4 and 8 hours on the second and third Meta 710 confocal microscope for documentation. JASN 31: 716–730, 2020 Gene Expression Signature of Renal Organoprotection 717 BASIC RESEARCH www.jasn.org mRNA and MicroRNA Sequencing mitoXplorer was used to analyze and visualize mitochon- RNeasy mini Kit (Qiagen, Hilden, Germany) was used to iso- drial expression dynamics.24 For visualization of the data, late total RNA from snap-frozen kidneys. After removal of access http://mitoxplorer.ibdm.univ-mrs.fr/, then go to ribosomal RNA using biotinylated target-specific oligos com- “analysis,” choose “Mouse” as
Load more

Recommended publications
  • Table S1 Association Results
    GeneName p.Weighted p.Weighted.adj cor.Weighted GO.term.1 GO.term.2 SLC44A1.2 3.55E-15 7.81E-08 0.819822422 choline transport mitochondria GLTP.1 5.77E-15 1.27E-07 0.816302445 lipid metabolic process sphingolipid MTMR10.1 6.39E-14 1.41E-06 0.797951424 cytosol phosphatase SOX8 2.37E-13 5.21E-06 0.787085514 transcription factor neural crest GPRC5B.1 4.19E-13 9.22E-06 0.782154937 integral membrane G-protein NCAM1.3 4.45E-13 9.79E-06 0.781624896 protein binding myelin SLC44A1.1 1.28E-12 2.82E-05 0.772132954 choline transport mitochondria FAM107B 1.56E-12 3.43E-05 0.77025677 mitochondria mitochondria UGT8.1 1.77E-12 3.89E-05 0.769099729 transferase myelin ERBB3.2 2.07E-12 4.55E-05 0.767631259 transcription factor protein tyrosine kinase MAN2A1 3.10E-12 6.82E-05 0.763759677 metabolic process hydrolase activity PLEKHH1.1 3.24E-12 7.13E-05 0.763337879 unknown unknown DOCK5.3 3.69E-12 8.12E-05 0.762087913 protein binding cell adhesion RNF130 3.69E-12 8.12E-05 0.762094156 membrane metal ion binding NPC1 6.50E-12 1.43E-04 0.756517114 cholesterol trafficking sphingolipid ERMN 7.22E-12 1.59E-04 0.755469786 actin binding myelin BOK 9.80E-12 2.16E-04 0.752383357 protein binding apoptosis CNTN2 1.54E-11 3.39E-04 0.747743281 unknown unknown ELOVL1 1.55E-11 3.41E-04 0.74764744 fatty acid sphingolipid DBNDD2 3.55E-11 7.81E-04 0.738878658 protein binding neuron projection LASS2 5.09E-11 1.12E-03 0.734954024 lipid metabolic process myelin C12orf34 7.57E-11 1.67E-03 0.730528911 unknown unknown LIPA 9.59E-11 2.11E-03 0.72786111 fatty acid glycerolipid metabolic
    [Show full text]
  • Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug
    cancers Article Harnessing Gene Expression Profiles for the Identification of Ex Vivo Drug Response Genes in Pediatric Acute Myeloid Leukemia David G.J. Cucchi 1 , Costa Bachas 1 , Marry M. van den Heuvel-Eibrink 2,3, Susan T.C.J.M. Arentsen-Peters 3, Zinia J. Kwidama 1, Gerrit J. Schuurhuis 1, Yehuda G. Assaraf 4, Valérie de Haas 3 , Gertjan J.L. Kaspers 3,5 and Jacqueline Cloos 1,* 1 Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; [email protected] (D.G.J.C.); [email protected] (C.B.); [email protected] (Z.J.K.); [email protected] (G.J.S.) 2 Department of Pediatric Oncology/Hematology, Erasmus MC–Sophia Children’s Hospital, 3015 CN Rotterdam, The Netherlands; [email protected] 3 Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; [email protected] (S.T.C.J.M.A.-P.); [email protected] (V.d.H.); [email protected] (G.J.L.K.) 4 The Fred Wyszkowski Cancer Research, Laboratory, Department of Biology, Technion-Israel Institute of Technology, 3200003 Haifa, Israel; [email protected] 5 Emma’s Children’s Hospital, Amsterdam UMC, Vrije Universiteit Amsterdam, Pediatric Oncology, 1081 HV Amsterdam, The Netherlands * Correspondence: [email protected] Received: 21 April 2020; Accepted: 12 May 2020; Published: 15 May 2020 Abstract: Novel treatment strategies are of paramount importance to improve clinical outcomes in pediatric AML. Since chemotherapy is likely to remain the cornerstone of curative treatment of AML, insights in the molecular mechanisms that determine its cytotoxic effects could aid further treatment optimization.
    [Show full text]
  • Neurodevelopmental Signatures of Narcotic and Neuropsychiatric Risk Factors in 3D Human-Derived Forebrain Organoids
    Molecular Psychiatry www.nature.com/mp ARTICLE OPEN Neurodevelopmental signatures of narcotic and neuropsychiatric risk factors in 3D human-derived forebrain organoids 1 1 1 1 2 2 3 Michael Notaras , Aiman Lodhi , Estibaliz✉ Barrio-Alonso , Careen Foord , Tori Rodrick , Drew Jones , Haoyun Fang , David Greening 3,4 and Dilek Colak 1,5 © The Author(s) 2021 It is widely accepted that narcotic use during pregnancy and specific environmental factors (e.g., maternal immune activation and chronic stress) may increase risk of neuropsychiatric illness in offspring. However, little progress has been made in defining human- specific in utero neurodevelopmental pathology due to ethical and technical challenges associated with accessing human prenatal brain tissue. Here we utilized human induced pluripotent stem cells (hiPSCs) to generate reproducible organoids that recapitulate dorsal forebrain development including early corticogenesis. We systemically exposed organoid samples to chemically defined “enviromimetic” compounds to examine the developmental effects of various narcotic and neuropsychiatric-related risk factors within tissue of human origin. In tandem experiments conducted in parallel, we modeled exposure to opiates (μ-opioid agonist endomorphin), cannabinoids (WIN 55,212-2), alcohol (ethanol), smoking (nicotine), chronic stress (human cortisol), and maternal immune activation (human Interleukin-17a; IL17a). Human-derived dorsal forebrain organoids were consequently analyzed via an array of unbiased and high-throughput analytical approaches, including state-of-the-art TMT-16plex liquid chromatography/mass- spectrometry (LC/MS) proteomics, hybrid MS metabolomics, and flow cytometry panels to determine cell-cycle dynamics and rates of cell death. This pipeline subsequently revealed both common and unique proteome, reactome, and metabolome alterations as a consequence of enviromimetic modeling of narcotic use and neuropsychiatric-related risk factors in tissue of human origin.
    [Show full text]
  • 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.
    [Show full text]
  • 1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
    Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN.
    [Show full text]
  • Open Full Page
    Published OnlineFirst January 12, 2016; DOI: 10.1158/0008-5472.CAN-15-1859 Cancer Tumor and Stem Cell Biology Research Formation of Renal Cysts and Tumors in Vhl/Trp53-Deficient Mice Requires HIF1a and HIF2a Desir ee Schonenberger€ 1, Sabine Harlander1,2, Michal Rajski1, Robert A. Jacobs1,2,3, Anne-Kristine Lundby1,2, Mojca Adlesic1, Tomas Hejhal1, Peter J. Wild4, Carsten Lundby1,2, and Ian J. Frew1,2 Abstract The von Hippel–Lindau (VHL) tumor suppressor gene is inac- chondrial abundance and oxidative capacity, glycogen accu- tivated in the majority of clear cell renal cell carcinomas (ccRCC), mulation, and acquisition of a clear cell phenotype in Vhl- but genetic ablation of Vhl alone in mouse models is insufficient deficient renal epithelial cells. HIF1a, but not HIF2a, induced to recapitulate human tumorigenesis. One function of pVHL is to Warburg-like metabolism characterized by increased glycoly- regulate the stability of the hypoxia-inducible factors (HIF), sis, decreased oxygen consumption, and decreased ATP pro- which become constitutively activated in the absence of pVHL. duction in mouse embryonic fibroblasts, providing insights In established ccRCC, HIF1a has been implicated as a renal tumor into the cellular changes potentially occurring in Vhl mutant suppressor, whereas HIF2a is considered an oncoprotein. In this renal cells before ccRCC formation. Importantly, deletion of study, we investigated the contributions of HIF1a and HIF2a to either Hif1a or Hif2a completely prevented the formation of ccRCC initiation in the context of Vhl deficiency. We found that renal cysts and tumors in Vhl/Trp53 mutant mice. These find- deleting Vhl plus Hif1a or Hif2a specifically in the renal ings argue that both HIF1a and HIF2a exert protumorigenic epithelium did not induce tumor formation.
    [Show full text]
  • 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).
    [Show full text]
  • Mir-17-92 Fine-Tunes MYC Expression and Function to Ensure
    ARTICLE Received 31 Mar 2015 | Accepted 22 Sep 2015 | Published 10 Nov 2015 DOI: 10.1038/ncomms9725 OPEN miR-17-92 fine-tunes MYC expression and function to ensure optimal B cell lymphoma growth Marija Mihailovich1, Michael Bremang1, Valeria Spadotto1, Daniele Musiani1, Elena Vitale1, Gabriele Varano2,w, Federico Zambelli3, Francesco M. Mancuso1,w, David A. Cairns1,w, Giulio Pavesi3, Stefano Casola2 & Tiziana Bonaldi1 The synergism between c-MYC and miR-17-19b, a truncated version of the miR-17-92 cluster, is well-documented during tumor initiation. However, little is known about miR-17-19b function in established cancers. Here we investigate the role of miR-17-19b in c-MYC-driven lymphomas by integrating SILAC-based quantitative proteomics, transcriptomics and 30 untranslated region (UTR) analysis upon miR-17-19b overexpression. We identify over one hundred miR-17-19b targets, of which 40% are co-regulated by c-MYC. Downregulation of a new miR-17/20 target, checkpoint kinase 2 (Chek2), increases the recruitment of HuR to c- MYC transcripts, resulting in the inhibition of c-MYC translation and thus interfering with in vivo tumor growth. Hence, in established lymphomas, miR-17-19b fine-tunes c-MYC activity through a tight control of its function and expression, ultimately ensuring cancer cell homeostasis. Our data highlight the plasticity of miRNA function, reflecting changes in the mRNA landscape and 30 UTR shortening at different stages of tumorigenesis. 1 Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, Milan 20139, Italy. 2 Units of Genetics of B cells and lymphomas, IFOM, FIRC Institute of Molecular Oncology Foundation, Milan 20139, Italy.
    [Show full text]
  • Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
    Supplementary 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
    [Show full text]
  • Molecular Genetics in Neuroblastoma Prognosis
    children Review Molecular Genetics in Neuroblastoma Prognosis Margherita Lerone 1, Marzia Ognibene 1 , Annalisa Pezzolo 2 , Giuseppe Martucciello 3,4 , Federico Zara 1,4, Martina Morini 5,*,† and Katia Mazzocco 6,† 1 Unit of Medical Genetics, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy; [email protected] (M.L.); [email protected] (M.O.); [email protected] (F.Z.) 2 IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy; [email protected] 3 Department of Pediatric Surgery, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy; [email protected] 4 Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, University of Genova, 16132 Genova, Italy 5 Laboratory of Molecular Biology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy 6 Department of Pathology, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-010-5636-2633 † Authors share senior authorship. Abstract: In recent years, much research has been carried out to identify the biological and genetic characteristics of the neuroblastoma (NB) tumor in order to precisely define the prognostic subgroups for improving treatment stratification. This review will describe the major genetic features and the recent scientific advances, focusing on their impact on diagnosis, prognosis, and therapeutic solutions in NB clinical management. Keywords: neuroblastoma; genetics; TRK; liquid biopsy; exosomes; telomere maintenance; hypoxia Citation: Lerone, M.; Ognibene, M.; Pezzolo, A.; Martucciello, G.; Zara, F.; 1. Introduction Morini, M.; Mazzocco, K. Molecular Genetics in Neuroblastoma Prognosis. Neuroblastoma (NB) is a pediatric heterogeneous disease with a median age of Children 2021, 8, 456. https:// 17 months at diagnosis, which can evolve with a benign course or fatal illness, with a doi.org/10.3390/children8060456 natural history ranging from a benign course to a terminal illness [1–3].
    [Show full text]
  • Β-Catenin Signaling Dynamics Regulate Cell Fate in Differentiating Neural Stem Cells
    β-Catenin signaling dynamics regulate cell fate in differentiating neural stem cells Alyssa B. Rosenblooma, Marcin Tarczynski a, Nora Lama, Ravi S. Kaneb,1, Lukasz J. Bugaja,c,1, and David V. Schaffera,d,e,f,1 aDepartment of Bioengineering, University of California, Berkeley, CA 94720; bSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332; cDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104; dDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720; eDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; and fHelen Wills Neuroscience Institute, University of California, Berkeley, CA 94720 Edited by Randall T. Moon, University of Washington, Seattle, WA, and approved September 21, 2020 (received for review May 4, 2020) Stem cells undergo differentiation in complex and dynamic environ- of how signaling dynamics impact cellular function. Optogenetics ments wherein instructive signals fluctuate on various timescales. has recently emerged as a field in which light—which can readily Thus, cells must be equipped to properly respond to the timing of be varied in intensity, space, and time—is harnessed to precisely signals, for example, to distinguish sustained signaling from transient modulate cell-signaling pathways. In this approach, light-sensitive noise. However, how stem cells respond to dynamic variations in proteins are engineered to interface with specific signaling path- differentiation cues is not well characterized. Here, we use optoge- ways, and the subsequent introduction of such an optogenetic netic activation of β-catenin signaling to probe the dynamic responses construct into cells renders the signaling pathway responsive to of differentiating adult neural stem cells (NSCs).
    [Show full text]
  • High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype
    Supplementary Information High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype Håkon Reikvam 1,2,*, Elise Aasebø 1, Annette K. Brenner 2, Sushma Bartaula-Brevik 1, Ida Sofie Grønningsæter 2, Rakel Brendsdal Forthun 2, Randi Hovland 3,4 and Øystein Bruserud 1,2 1 Department of Clinical Science, University of Bergen, 5020, Bergen, Norway 2 Department of Medicine, Haukeland University Hospital, 5021, Bergen, Norway 3 Department of Medical Genetics, Haukeland University Hospital, 5021, Bergen, Norway 4 Institute of Biomedicine, University of Bergen, 5020, Bergen, Norway * Correspondence: [email protected]; Tel.: +55-97-50-00 J. Clin. Med. 2019, 8, x 2 of 36 Figure S1. Mutational studies in a cohort of 71 AML patients. The figure shows the number of patients with the various mutations (upper), the number of mutations in for each patient (middle) and the number of main classes with mutation(s) in each patient (lower). 2 J. Clin. Med. 2019, 8, x; doi: www.mdpi.com/journal/jcm J. Clin. Med. 2019, 8, x 3 of 36 Figure S2. The immunophenotype of primary human AML cells derived from 62 unselected patients. The expression of the eight differentiation markers CD13, CD14, CD15, CD33, CD34, CD45, CD117 and HLA-DR was investigated for 62 of the 71 patients included in our present study. We performed an unsupervised hierarchical cluster analysis and identified four patient main clusters/patient subsets. The mutational profile for each f the 62 patients is also given (middle), no individual mutation of main class of mutations showed any significant association with any of the for differentiation marker clusters (middle).
    [Show full text]